Abstract
The tumor immune microenvironment (TIME), composed of tumor cells, immune/stromal cells, cytokines, and other components, plays a central role in determining tumor immunogenicity and response to therapy. The balance between effector T/NK cells and immunosuppressive populations such as regulatory T cells (Tregs), myeloid-derived suppressor cells (MDSCs), and M2-like tumor-associated macrophages (TAMs) determines whether tumors remain “cold” or become “hot”. Triple-negative breast cancer (TNBC) remains challenging to treat because it lacks estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) targets and exhibits high heterogeneity. To address these limitations, tumor microenvironment (TME)-targeted nanocarriers have emerged as a promising strategy. By exploiting features such as hypoxia, acidity, redox imbalance, and abnormal vascular and mechanical cues, these systems enable prolonged circulation, active targeting, and stimulus-responsive release, thereby enhancing the efficacy of therapies such as immune checkpoint blockade. This review summarizes major nanoplatforms and therapeutic strategies, while highlighting translational barriers including TIME heterogeneity, enhanced permeability and retention (EPR) effect, and protein corona formation. Finally, this review explains why patient stratification should be incorporated into the future development of TNBC nano-immunotherapy and argues for simplified, reproducible nanocarrier designs to support clinically applicable precision treatment.
1 Introduction
1.1 Concept of the tumor immune microenvironment and its relevance to TNBC
TIME refers to a complex ecosystem within the tumor site composed of tumor cells, immune cells, fibroblasts, vascular endothelial cells, as well as cytokines, chemokines, exosomes, and the extracellular matrix, representing the immunologically relevant components of the broader tumor microenvironment that is directly associated with immune responses (). As a core constituent of the tumor microenvironment, TIME is not a simple assemblage of cells and molecules. Rather, it comprises highly heterogeneous functional units formed through intricate signal-network interactions among its components (). Within this system, effector T cells, B cells, NK cells, and dendritic cells exert antitumor functions, whereas Tregs, MDSCs, and M2-type TAMs, among others, collectively sustain an immunosuppressive environment that facilitates tumor-cell immune evasion (). Beyond immune cells, cancer-associated fibroblasts can remodel the TIME architecture by secreting extracellular matrix components and can concurrently recruit immunosuppressive cells through chemokine secretion (). Vascular endothelial cells provide nutritional support for tumor cells and can restrict immune-cell infiltration. TIME is not static but is continuously reshaped during tumor initiation, progression, and treatment: tumor cells reprogram the microenvironment by secreting immunosuppressive factors, reconstructing vasculature, and altering metabolism and acid–base conditions. Meanwhile, distinct immune-cell populations can either suppress or promote tumor-cell proliferation, invasion, and therapeutic sensitivity (). Therefore, TIME is both a key component of tumor biology and an essential theoretical basis for understanding differences between “cold” and “hot” tumors and between treatment sensitivity and resistance. Among solid tumors, TNBC represents a particularly relevant setting for TIME-oriented research because its clinical aggressiveness is accompanied by marked immune heterogeneity (). A subset of TNBC lesions contains abundant tumor-infiltrating lymphocytes and elevated immune checkpoint expression, whereas other lesions show immune exclusion or dominance of suppressive myeloid, regulatory T-cell, macrophage, stromal, and vascular programs (). This coexistence of immune activation and immune restraint helps explain the variable response of TNBC to immunotherapy and supports the development of microenvironment-targeted therapeutic strategies (, ).
The conceptual foundation of TIME has evolved from the recognition that immune-cell composition and spatial organization within tumors are closely associated with clinical outcome. Galon et al. demonstrated that the type, density, and location of intratumoral immune cells could predict patient prognosis, establishing the basis for the concept of “immune contexture” (, ). This framework was later extended by Chen and Mellman, who proposed the “cancer–immunity set point” and classified tumor immune phenotypes into inflamed, immune-excluded, and immune-desert patterns (). Subsequent reviews further standardized the term TIME and its major categories, providing a common conceptual framework for interpreting tumor immune heterogeneity and therapeutic response (–).
1.2 Significance and roles of regulating the tumor immune microenvironment
The central significance of regulating the tumor immune microenvironment lies in reshaping local immune homeostasis within tumors, reversing immunosuppression, and restoring antitumor immune function, thereby inhibiting tumor progression and improving therapeutic efficacy (Table 1). This role spans the entire course of tumorigenesis, tumor development, and treatment, making it particularly important in precision oncology. In terms of its regulatory significance and functional impact, the tumor immune microenvironment is involved in nearly every stage of tumor evolution, including initiation, clonal evolution, hematogenous or lymphatic metastasis, and responses to radiotherapy/chemotherapy, targeted therapy, and immunotherapy (). In immunosuppressive TIME, effector T-cell exhaustion, impaired antigen presentation, and high expression of immune checkpoint molecules (e.g., PD-1/PD-L1 and CTLA-4) enable tumors to continue growing in an “immune-indifferent” state (). By contrast, an inflamed TIME enriched with tumor-infiltrating lymphocytes (TILs) often indicates a more favorable prognosis and a higher response rate to immunotherapy (). Modern cancer therapy is increasingly shifting from “directly killing tumor cells” to “concurrently remodeling the microenvironment,” using immune checkpoint inhibitors, CAR-T cells, cancer vaccines, oncolytic viruses, and drugs targeting the TME/TIME (e.g., agents against angiogenesis, metabolism, and cytokines) to relieve immunosuppression and enhance antitumor immunity, thereby achieving more durable and systemic therapeutic effects (). In addition, regulating TIME can reduce metastatic risk. Studies have shown that vascular endothelial growth factor secreted by M2-type TAMs can promote tumor angiogenesis and lymphangiogenesis, whereas TAM-targeted regulatory strategies can inhibit tumor angiogenesis and reduce routes of dissemination (). In clinical practice, TIME-related biomarkers, such as PD-L1 expression, TMB (tumor mutational burden), and the abundance, composition, and spatial distribution of tumor-infiltrating immune cells, have become important criteria for guiding immunotherapy selection, and deeper investigation of their regulatory mechanisms provides clear directions for developing novel anticancer therapeutics (). Therefore, in TNBC, a systematic understanding of TIME and its strategic modulation may provide an important basis for improving therapeutic efficacy and extending patient survival (). This therapeutic relevance is particularly evident in TNBC, where immune activation does not always translate into effective tumor rejection. Tumors with abundant lymphocytic infiltration and checkpoint expression may be more sensitive to immune checkpoint blockade, whereas immune-excluded lesions with dysfunctional T cells, suppressive myeloid cells, regulatory T cells, tumor-associated macrophages, and abnormal stromal or vascular barriers remain less responsive. Accordingly, TIME modulation should be viewed as a strategy to restore productive immune engagement, improve immune-cell access and persistence, and strengthen the efficacy of chemotherapy, immune checkpoint blockade, and other combination therapies ().
Table 1
| Regulatory target | Significance of regulation | Effects | References |
|---|---|---|---|
| CD8+ effector T cells/Th1 | Strengthening the main antitumor immune effector arm | Promoting tumor cell killing, secreting IFN-γ, and establishing immunological memory | (, ) |
| Tregs | Suppressing antitumor immunity | Suppressing effector T cells, promoting immune evasion, and contributing to therapeutic resistance | (, ) |
| MDSCs | Targeting or reprogramming the immunosuppressive myeloid compartment | Reducing MDSC-mediated immunosuppression, limiting recruitment or polarization of suppressive immune cells, and thereby inhibiting tumor progression, invasion, and metastasis | (, ) |
| TAM (M2 → M1) | Shifting from pro-tumor to anti-tumor activity | Increasing phagocytosis and antigen presentation; and promoting vascular normalization | (, ) |
| DCs and antigen presentation | Enhancing priming and cross-presentation | Upregulating co-stimulatory signals and improving primary T-cell priming | (, ) |
| Immune checkpoints (PD-1/PD-L1, CTLA-4, etc.) | Blocking inhibitory immune checkpoint pathways | Reversing T-cell exhaustion, restoring effector T-cell function, and promoting clonal expansion of tumor-reactive T cells | (, ) |
Significance and effects of different regulatory targets.
The rationale for TIME modulation emerged from the broader development of tumor microenvironment research, cancer immunoediting, and immune checkpoint biology. Pivotal theoretical and clinical contributions by Schreiber (), Hanahan and Weinberg (), Chen and Mellman (), Allison (, ), Honjo (, ) and others established that durable cancer control requires both tumor-cell targeting and relief of immune suppression. In TNBC, this framework provides a mechanistic basis for integrating chemotherapy, immunotherapy, and microenvironment-directed nanomedicine.
1.3 Characteristics of triple-negative breast cancer
TNBC refers to a subtype of breast cancer that is negative for ER, PR, and HER2, accounting for approximately 10%–20% of all breast cancers (). Because these canonical therapeutic targets are absent, TNBC management relies heavily on chemotherapy, immune checkpoint blockade in selected patients, PARP inhibitors in BRCA-mutated disease, antibody-drug conjugates, and rational combination strategies rather than endocrine or HER2-directed therapy. Clinically, TNBC occurs more frequently in younger women (particularly those <40 years of age) and is closely associated with BRCA1/2 mutations and a family history of hereditary susceptibility. These tumors often present with larger masses, high histologic grade (commonly grade III), and a high mitotic index, and may develop lymph-node or distant metastases at an early stage. Common metastatic sites include the lung, liver, brain, and bone, with TNBC showing a particular tendency toward visceral and brain metastases. Metastatic TNBC is generally associated with poor survival outcomes, with reported median overall survival commonly ranging from approximately 8 to 13 months in real-world cohorts, although survival varies according to metastatic site, disease burden, and treatment availability (, ). Meanwhile, TNBC is highly heterogeneous and can be stratified by molecular subtyping into basal-like, immune-enriched, mesenchymal, and other subtypes, which exhibit marked differences in mutational landscapes, patterns of signaling-pathway activation, and interactions with the TIME (). In addition to immune-related heterogeneity, TNBC also exhibits marked metabolic and receptor-level alterations that can be exploited for targeted nanomedicine. Transferrin receptor 1 (TfR1, also known as CD71), encoded by TFRC, is a type II transmembrane glycoprotein responsible for binding transferrin-bound iron and mediating cellular iron uptake through receptor-mediated endocytosis (). Because rapidly proliferating tumor cells require increased iron for DNA synthesis, mitochondrial metabolism, and cell-cycle progression, TfR1 is frequently upregulated in malignant tumors and has been widely explored as a tumor-targeting receptor (). In TNBC, the relevance of TfR1 lies not only in its association with iron-metabolic reprogramming and aggressive tumor growth, but also in its potential to facilitate receptor-mediated internalization of transferrin-, antibody-, peptide-, or H-ferritin-based nanocarriers. Therefore, TfR1 provides an important mechanistic basis for the later use of TfR1-targeted nanoformulations to improve tumor localization, intracellular uptake, and therapeutic delivery efficiency in TNBC (). From the perspective of the immune microenvironment, TNBC displays distinctive TIME phenotypes. On the one hand, TNBC often has a relatively high tumor mutational burden, generating more tumor neoantigens and facilitating immune recognition. Consequently, a subset of TNBC constitutes “hot tumors” with substantial infiltration of CD8+ T cells and dendritic cells, and patients with such tumors show higher response rates to immune checkpoint inhibitors. On the other hand, some TNBCs retain pronounced immunosuppressive features, such as enrichment of M2-type tumor-associated macrophages and Treg cells that secrete large amounts of inhibitory cytokines (e.g., IL-10 and TGF-β), or high expression of immune checkpoint molecules, leading to functional exhaustion of effector immune cells. Notably, a considerable proportion of TNBC exhibits high levels of tumor-infiltrating lymphocytes and elevated PD-L1 expression (). This “immunologically active yet suppressed” profile provides a biological rationale for the use of immune checkpoint inhibitors and antibody–drug conjugates and has demonstrated potential to improve progression-free survival and overall survival in recent clinical trials. From a therapeutic perspective, TNBC is also characterized by a relatively limited therapeutic window (). Because ER, PR, and HER2 are absent, treatment cannot rely on endocrine or HER2-directed strategies and instead depends largely on chemotherapy, immune checkpoint blockade in selected patients, PARP inhibitors in BRCA-mutated disease, antibody-drug conjugates, and rational combinations (). However, dose intensification is often constrained by systemic toxicity, while insufficient drug exposure may fail to control rapidly progressive or recurrent disease (). This narrow balance between antitumor efficacy and treatment-related toxicity is particularly relevant for nanomedicine design, because tumor-targeted accumulation and stimulus-responsive release may increase local therapeutic exposure while reducing nonspecific damage to normal tissues ().
Contemporary TNBC management has evolved through accumulated clinical evidence and now includes chemotherapy, PARP inhibitors for BRCA-mutated disease, immune checkpoint blockade in selected patients, antibody-drug conjugates, and rational combination strategies. Chemotherapy remains a major backbone of treatment, while PARP inhibitors, PD-1/PD-L1 blockade, and antibody-drug conjugates have expanded the therapeutic landscape for molecularly or immunologically defined patient subsets (–). These advances provide the clinical context for developing nanocarrier-based strategies that may improve drug delivery, reduce systemic toxicity, and enhance immune modulation in TNBC.
1.4 Potential value of modulating the immune microenvironment in TNBC
Modulating the immune microenvironment in triple-negative breast cancer has substantial potential clinical value. On the one hand, the high mutational and neoantigen burdens of TNBC provide targets for immune recognition, yet pervasive factors within its TIME, such as T-cell exhaustion, infiltration of immunosuppressive myeloid populations, and immunometabolic reprogramming, constrain spontaneous antitumor immunity (). Strategies including blockade of immune checkpoints (e.g., PD-1/PD-L1 and CTLA-4) to restore T-cell function, combination with chemotherapy, radiotherapy, or antibody–drug conjugates to induce immunogenic cell death and enhance antigen release and presentation, and targeted interventions against tumor-associated macrophages, MDSCs, and aberrant vasculature provide a potential strategy to remodel the immunosuppressive TIME and sensitize “immune-cold” TNBC to immunotherapy (). On the other hand, with advances in single-cell omics and spatial transcriptomics, refined stratification of the TNBC immune microenvironment will facilitate the development of risk-assessment models and treatment decision systems based on TIME features, enabling truly precise immunotherapy and optimization of combination-regimen strategies (). Moreover, modulating the TNBC tumor immune microenvironment may reduce the risk of recurrence and metastasis and improve long-term outcomes (). TNBC recurrence frequently occurs within three years after treatment, and relapse is closely linked to an immunosuppressive state within the TIME. Emerging evidence suggests that postoperative immune modulation may help reduce recurrence risk, although direct clinical validation in TNBC remains limited (). Notably, with the development of gene-editing technologies, the efficacy of CAR-T cell therapy in TNBC also depends on TIME modulation, and engineering CAR-T cells to resist immunosuppressive signals within the TIME can enhance their survival and cytotoxic activity in tumor tissues ().
In summary, the tumor immune microenvironment is not only a key window for understanding tumor biology and heterogeneity in therapeutic responses, but also a crucial avenue for future innovation in TNBC treatment strategies and prognostic improvement, with far-reaching implications for clinical translation and individualized therapy.
1.5 Scope and unique contribution of this review
Existing reviews have generally focused either on TNBC immunotherapy, on nanocarrier formulation, or on broad cancer nanomedicine. The present review is positioned at the intersection of these fields. Compared with previous reviews that separately discuss TNBC immunotherapy or nanocarrier-based delivery, this review integrates TIME heterogeneity, nanocarrier design logic, immune-remodeling mechanisms, and translational bottlenecks into a unified framework for precision TNBC nano-immunotherapy.
Accordingly, the review is organized to move from biological rationale to material design, mechanistic immune modulation, comparative platform evaluation, clinical-trial evidence, translational barriers, and multi-omics-guided precision nanotherapy. This structure is intended to provide not only a descriptive overview but also a critical framework for evaluating which nanocarrier strategies are most likely to become clinically actionable in TNBC.
2 Types of nanocarriers and their construction methods
2.1 Protein-based nanocarriers
Nanocarriers are widely used in cancer therapy to improve drug stability, tumor-site delivery, co-delivery capacity, and systemic safety. In TNBC, where aggressive progression, limited therapeutic targets, and drug resistance remain major challenges, nanocarriers provide an important strategy for improving chemotherapy, gene therapy, immunotherapy, and combination treatment (, ).
Protein-based nanocarriers, constructed from natural or recombinant proteins, offer favorable biocompatibility, biodegradability, and chemical modifiability (). In TNBC, they mainly include albumin-based systems, structural protein-based particles, self-assembling protein nanocages, virus-like particles (VLPs), and other functional protein nanoparticles. Albumin is the most clinically representative plasma protein carrier, with albumin-bound paclitaxel already used as a clinical albumin-based formulation (). At the preclinical level, albumin-based platforms have been evaluated for delivering taxanes, anthracyclines, and nucleic acid therapeutics in TNBC-related cell and mouse tumor or metastasis models. For example, doxorubicin-carried albumin nanocages have been examined in aggressive breast cancer and lymph-node metastasis models, whereas albumin-binding siRNA conjugates have been tested in human cancer cells and mouse xenograft models (, ). Structural protein-based systems, such as silk fibroin-based local delivery scaffolds, are still mainly supported by in vitro and murine tumor evidence and should therefore be regarded as preclinical delivery platforms rather than established TNBC therapies (–).
Among self-assembling protein nanocages, ferritin is particularly representative because its hollow cavity enables drug loading, while subunit engineering supports targeted delivery and controlled release (). In TNBC, H-ferritin nanocages loaded with doxorubicin have shown improved antitumor and antimetastatic effects compared with free doxorubicin in patient-derived xenograft and syngeneic mouse models (). More recently, H-ferritin nanocages have also been used to deliver a CDK9-targeting PROTAC in TNBC, improving TfR1-mediated uptake, lysosomal pH-triggered release, CDK9 degradation, antitumor efficacy, and systemic safety ().
VLPs represent another protein-based platform. Because they retain capsid-like self-assembled structures but lack viral genomes, they are suitable for ligand display and delivery of drugs, proteins, or nucleic acids. For example, GE11-modified HBc VLPs have been used to deliver doxorubicin to EGFR-overexpressing TNBC, and modular HBV VLPs can encapsulate therapeutic proteins for EGFR-directed delivery (, ). Other functional protein systems include lactoferrin-based hybrid nanodrugs, which have been used for the co-delivery of HDAC6 and LDH inhibitors in TNBC. By simultaneously affecting stress-related signaling and lactate metabolism, this strategy may promote metabolic reprogramming and immune sensitization ().
From a formulation perspective, albumin- and silk fibroin-based particles are mainly prepared by desolvation/antisolvent precipitation, emulsification-solidification, or solvent-induced self-assembly, with drug loading usually occurring during protein aggregation and crosslinking (, ). In contrast, ferritin and VLPs rely more on post-expression self-assembly, pH-triggered disassembly-reassembly, or genetic fusion strategies for cargo encapsulation and surface functionalization (). Therefore, the key challenge for protein-based nanocarriers in TNBC is not merely nanoparticle fabrication, but rational engineering to target receptors such as EGFR and TfR1, improve tumor localization and cellular uptake, and enhance the co-delivery efficiency of taxanes, doxorubicin, PROTACs, or nucleic acid therapeutics ().
2.2 Metal nanocarriers
Metal-based nanocarriers exploit the optical, electrical, magnetic, and catalytic properties of metals or metal oxides for drug delivery, imaging, and combination therapy (Figure 1). According to composition, they can be broadly classified into noble-metal nanoparticles, transition-metal or metal-oxide nanoparticles, magnetic nanoparticles, and metal–organic frameworks (MOFs). Among noble-metal nanoparticles, gold nanoparticles are the most widely studied because their surface plasmon resonance enables near-infrared photothermal conversion, while their surface chemistry allows conjugation with drugs or targeting ligands. In TNBC, CD44-targeted gold–doxorubicin nanocomposites have been used for pulsed chemo-photothermal therapy, and cetuximab-functionalized gold nanorods have been applied to enhance EGFR-mediated uptake and photothermal ablation in TNBC spheroid models (–).
Figure 1
Silver nanoparticles also show anticancer and imaging potential, but their application requires careful control of Ag+ release and nonspecific toxicity. In TNBC models such as MDA-MB-231 cells, AgNPs have been reported to exert selective cytotoxicity and interact with doxorubicin, thereby influencing chemotherapeutic responses (, ).
Magnetic metal-oxide nanoparticles, especially Fe3O4-based platforms, are attractive because they can combine magnetic targeting, magnetic hyperthermia, imaging, and drug or nucleic acid delivery. In TNBC-related models, Fe3O4 and γ-Fe2O3 systems have been investigated for chemo-immunotherapy, gene delivery, and magnetic hyperthermia. However, these platforms should still be described as preclinical “magnetic navigation plus therapeutic delivery” systems rather than established TNBC therapies (–). Representative examples include doxorubicin-loaded magnetite nanoparticles, anti-EGFR-targeted magnetic nanocarriers for selective doxorubicin delivery, and vortex magnetic nanorods for the co-delivery of doxorubicin and EZH2-targeting siRNA (, ). The latter strategy integrates cytotoxic chemotherapy with epigenetic modulation, since EZH2 silencing may attenuate malignant programs associated with TNBC aggressiveness and sensitize tumor cells to doxorubicin (). Thermosensitive magnetic hydrogels have also been used to asynchronously release doxorubicin and docetaxel to suppress TNBC growth and recurrence ().
Overall, metal-based nanocarriers provide versatile platforms for imaging-guided therapy and combination treatment, but their translation remains limited by long-term retention, metal-ion release, oxidative stress, and quality-control requirements. In addition to iron oxide platforms, ZnO-based, CuO-based, and metal sulfide-based nanocarriers have been explored for drug delivery, photosensitizer delivery, photothermal therapy, or photodynamic therapy in TNBC (, ). MOFs represent another important class of metal-hybrid nanocarriers because their porous crystalline frameworks provide high surface area, tunable pore structures, and opportunities for ligand modification (). For example, transferrin-modified UiO-66 co-loaded with doxorubicin and indocyanine green integrates chemotherapy, photothermal therapy, and photodynamic therapy within a single TNBC-oriented nanosystem (). Other representative metal-oxide examples include PEGylated ZnO nanoparticles synthesized by an Aloe vera-mediated green method, which showed higher doxorubicin loading than gemcitabine loading and stronger cytotoxicity against MDA-MB-231 cells than unloaded or non-PEGylated controls (). Folic acid-decorated CuO nanowires have also been reported to enhance tumor-cell uptake, induce mitochondrial ROS generation, modulate the NF-κB/miR-425/PTEN axis, promote apoptosis, and reduce the migratory potential of TNBC cells ().
Metal nanocarriers can be prepared through wet chemical reduction, seed-mediated growth, coprecipitation, thermal decomposition, hydrothermal synthesis, sol-gel methods, solution combustion, green biosynthesis, or coordination-driven self-assembly, depending on their composition and intended function (–). For noble-metal and metal-oxide nanoparticles, parameters such as precursor concentration, reducing or stabilizing agents, pH, temperature, and reaction time regulate particle size, morphology, dispersity, colloidal stability, and optical, magnetic, or photothermal properties. Green biosynthetic strategies using plant extracts, polysaccharides, proteins, or microbial biomass have also attracted attention because these components may act as mild reducing and stabilizing agents and form surface-capping layers that improve colloidal stability and potentially reduce nonspecific toxicity (). MOF-based carriers are generally prepared by solvothermal methods or room-temperature self-assembly, in which metal salts and organic ligands form nanometer-scale crystals through coordination-driven assembly. After formation, these carriers can accommodate cargos within their porous frameworks through pore confinement and non-covalent interactions such as electrostatic interactions, hydrogen bonding, hydrophobic interactions, or π-π stacking, and they can also load functional cargos, including anticancer agents and gaseous signaling molecules, through coordination interactions at the metal nodes ().
Metal-based nanocarriers typically employ three strategies for drug loading (Table 2). First, drugs that are negatively charged or contain N/S/O coordinating atoms can be directly bound to metal or metal-oxide surfaces via electrostatic adsorption and coordination bonding. Second, an organic shell—such as silica, polymer, or lipid layers—can be constructed, and the drug is then encapsulated within the shell or at the core–shell interface. Third, covalent conjugation can be achieved by using surface carboxyl, amino, or thiol groups, or via click chemistry, to attach small-molecule drugs, nucleic acids, or peptides to the outer layer of the carrier, enabling controlled release and active targeting. In addition, metal nanocarriers are often integrated with stimulus-responsive mechanisms—such as pH, light, magnetic fields, or hydrogen peroxide—to trigger drug release or structural disassembly, thereby enabling “on-demand drug delivery” ().
Table 2
| Carrier type | Preparation method | Loading capacity/characteristics | References |
|---|---|---|---|
| Gold nanoparticles (AuNPs) | Sodium citrate reduction; ligand exchange; microfluidic reduction; hard-template methods/electroplating to fabricate nanoshells/nanocages | Good biocompatibility; Au–S/Au–N coordination facilitates covalent conjugation of drugs/ligands; photothermal therapy and photoacoustic imaging | (, ) |
| Silver nanoparticles (AgNPs) | Chemical reduction; green (bio) synthesis; microemulsion/microfluidics | Strong antibacterial activity, but cytotoxicity and Ag+ release require control; often loaded via surface adsorption/coordination | (, ) |
| Superparamagnetic iron oxide nanoparticles (SPION) | Coprecipitation; microemulsion; hydrothermal synthesis | MRI tracking and magnetic targeting; after silanization or coating with polyacids/polysaccharides, drugs can be loaded via adsorption/covalent linkage | (, ) |
Overview of preparation methods and drug encapsulation characteristics of representative common metal nanoparticles.
2.3 Inorganic non-metallic nanocarriers
Inorganic non-metallic nanocarriers mainly include silica-based materials, calcium phosphate–based systems, and various carbon-based nanomaterials, among which mesoporous silica nanoparticles (MSNs) and carbon nanostructures (e.g., graphene, carbon nanotubes, and carbon dots) are the most representative. MSNs feature highly tunable pore sizes (typically 2–10 nm), ordered pore-channel architectures and large specific surface areas, enabling high drug-loading capacity and diverse stimulus-responsive gating. They are therefore widely used for delivering small-molecule drugs, proteins, and nucleic acids (). Common MSN architectures include MCM-41, SBA-15, and a variety of morphologies such as spherical, rod-like, and worm-like forms. MCM-41 and SBA-15 are two typical types of ordered mesoporous silica materials: the former usually possesses smaller and more uniform pore sizes, making it suitable for the loading and controlled release of small-molecule drugs, whereas the latter has larger pores and thicker pore walls, which are more conducive to the loading of macromolecular drugs and the maintenance of structural stability (). By functionalizing the inner and outer pore surfaces with amino, thiol, carboxyl groups, or polymer brushes, controlled release can be achieved in response to multiple cues, including pH, enzymes, and reductive microenvironments.
Stimuli-responsive gating introduces “switch”-like structures onto the surface or pore openings of inorganic nonmetallic nanocarriers that can respond to endogenous or exogenous tumor-associated stimuli, thereby keeping the drug relatively sealed during blood circulation while enabling selective release under conditions such as the acidic tumor microenvironment, the highly reductive intracellular milieu, or near-infrared irradiation. In this way, premature drug leakage and nonspecific exposure can be reduced, while the effective local drug concentration at the tumor site can be increased (). Given the heterogeneity and limited therapeutic window of TNBC, as discussed above, this strategy of “stable transport first, followed by site-specific release” is particularly valuable ().
Among various inorganic non-metallic nanoplatforms, mesoporous silica nanoparticles (MSNs) are one of the most mature systems for stimuli-responsive gating research because of their regular pore architecture, large specific surface area, and ease of surface functionalization (). Their key advantage lies not only in their high drug-loading capacity, but also in the ability to seal pore openings with polymers, dynamic covalent bonds, or cleavable linkers, thereby enabling drug release to be regulated by tumor microenvironment-specific stimuli. In TNBC, for example, hyaluronic acid (HA)-modified mesoporous silica/hydroxyapatite hybrid nanoparticles (CL@M/H-HA) have been used for the co-delivery of cabazitaxel and the PI3K inhibitor LY294002. In this system, the hydroxyapatite component confers pronounced pH-responsive release behavior, while also enabling the synchronous and proportional release of the two agents, resulting in stronger pro-apoptotic and synergistic inhibitory effects in MDA-MB-231 cells. This indicates that the significance of stimuli-responsive gating in TNBC is not limited to reducing premature drug leakage; more importantly, it can provide a “synergistic release window” for combination therapy, thereby improving the spatiotemporal coordination of different therapeutic modules within the same lesion (). In addition to mesoporous silica, calcium phosphate-based inorganic nonmetallic materials also exhibit considerable gating potential (). These materials possess favorable biocompatibility and acid-responsive degradability, allowing them to function not only as carriers but also as self-degradable switches within the acidic tumor microenvironment (). Their relevance is particularly evident in TNBC bone metastasis, because breast cancer commonly metastasizes to bone, liver, lung, and brain, and skeletal involvement can lead to bone pain, bone destruction, pathological fractures, and impaired quality of life (). Calcium phosphate and hydroxyapatite resemble the inorganic mineral phase of bone, may favor retention in bone-related lesions, and can participate in the modulation of bone-resorption-associated microenvironmental changes (). For instance, pH/redox dual-responsive calcium phosphate hybrid micelles (DZ@CPH), developed for TNBC bone metastasis, achieve docetaxel delivery to bone metastatic lesions through hybrid micelles reinforced with a calcium phosphate structure. This system can promote stimulus-responsive drug release, inhibit bone resorption-associated microenvironmental remodeling, reduce osteoclast activity, and improve local immunosuppression. These findings suggest that calcium phosphate-based gating strategies in TNBC are not limited to controlled release at the primary tumor site, but may also be applied to metastatic niches where tumor-cell killing and microenvironmental modulation are both required ().
The preparation of MSNs primarily relies on sol-gel chemistry combined with soft- or hard-template strategies (). In a typical modified Stöber process, alkoxysilanes such as tetraethyl orthosilicate undergo hydrolysis and condensation around surfactant or block-copolymer templates, followed by template removal to generate ordered mesoporous structures. By adjusting the template type, reaction conditions, and surface functionalization, MSN particle size, pore size, morphology, colloidal stability, and drug-release behavior can be tuned (). Other approaches, including evaporation-induced self-assembly, microemulsion, hydrothermal or microwave-assisted synthesis, and hard-template replication, are also used to construct MSNs with different architectures for drug delivery and stimulus-responsive gating ().
Calcium phosphate-based nanocarriers are commonly prepared by coprecipitation, hydrothermal or solvothermal processing, spray drying, or template-assisted mineralization. During preparation, pH, calcium/phosphate ratio, stabilizers, and surface modifiers such as citrate, poly(acrylic acid), proteins, or polymers can regulate particle morphology, surface charge, colloidal stability, degradability, and drug-loading behavior (, ). When calcium phosphate or hydroxyapatite is introduced as a functional component, loading efficiency should ideally be reported before and after mineral incorporation or surface modification whenever comparative data are available. For example, citrate-functionalized hydroxyapatite nanoparticles achieved approximately 85% doxorubicin loading efficiency at a drug-to-particle ratio of 1:10, which was attributed to electrostatic interactions between positively charged doxorubicin and negatively charged citrate-functionalized hydroxyapatite, together with the porous structure of the carrier (). In another poly(acrylic acid)/polyethylene glycol/hydroxyapatite nanocomposite system, the reported doxorubicin loading and entrapment efficiencies reached 46% and 87.5%, respectively. These examples indicate that improved loading is not an intrinsic property of all calcium phosphate or hydroxyapatite systems, but depends on particle composition, surface functionalization, porosity, and the drug-to-carrier ratio ().
Carbon-based nanocarriers constitute a major branch of inorganic non-metal systems and include zero-dimensional fullerenes and carbon dots, one-dimensional carbon nanotubes (CNTs), and two-dimensional graphene and its derivatives such as graphene oxide (GO) and reduced graphene oxide (rGO). Owing to its abundant carboxyl, hydroxyl, and epoxy groups, GO is readily amenable to covalent and noncovalent functionalization, can efficiently load aromatic small molecules and photosensitizers via π–π stacking and hydrophobic interactions, and can bind oligonucleotides and proteins through electrostatic or covalent approaches; consequently, it has been widely applied in anticancer and gene-delivery applications (). Studies have shown that functionalized GO can be employed for chemo/gene co-delivery in TNBC () and for chemo-photothermal synergistic therapy (). CNTs, by contrast, offer a tubular hollow architecture and excellent mechanical and electrical properties, making them well suited as long-circulating, cell-membrane-penetrating drug carriers and as scaffold materials (). CD44-targeted multi-walled carbon nanotubes can enhance drug uptake and antitumor efficacy in MDA-MB-231 cells (). Carbon dots provide another carbon-based platform with fluorescence, biocompatibility, surface modifiability, and drug-loading capacity. Anti-PD-L1-labeled carbon dots have demonstrated potential for TNBC imaging and immune-related therapy (), whereas HA-modified carbon quantum dots have been reported to induce ferroptosis in TNBC (). Overall, carbon-based nanocarriers provide multifunctional platforms for TNBC that combine drug delivery, imaging, and combination therapy, although their clinical translation still requires further resolution of biosafety and in vivo metabolism issues ().
Carbon-based nanomaterials are generally synthesized through top-down or bottom-up strategies, including chemical vapor deposition(CVD), oxidative exfoliation, hydrothermal or microwave-assisted carbonization, and electrochemical methods, which influence their morphology, surface chemistry, fluorescence, drug-loading behavior, and biocompatibility (). Owing to their fluorescence, surface modifiability, and drug-loading capacity, carbon dots have been explored as imaging-guided theranostic platforms in TNBC. For example, folic acid-based carbon dot-functionalized amphiphilic nanomicelles have been developed for targeted doxorubicin delivery and concurrent bioimaging in MDA-MB-231 TNBC cells, while gadolinium-doped carbon dots have been evaluated in 4T1 and MDA-MB-231 TNBC cells in vitro and in subcutaneous 4T1 tumor-bearing mouse models for MRI-guided drug delivery and NIR-triggered photothermal chemotherapy (–). BP nanosheets are usually obtained by exfoliation and require surface stabilization because they are prone to oxidative degradation in aqueous and oxygenated environments ().
Overall, the preparation of inorganic non-metallic nanocarriers mainly involves top-down exfoliation or etching, as well as bottom-up approaches such as sol–gel synthesis, vapor deposition, and hydrothermal methods (Table 3). Through fine control over size, morphology, and surface chemistry, multifunctional platforms can be obtained. These platforms combine high loading capacity, good biocompatibility, and designable stimulus-responsive behaviors, providing a rich material basis for improving the dissolution of poorly soluble drugs, enabling targeted delivery, and developing integrated theranostic systems ().
Table 3
| Carrier type | Preparation method | Loading capacity/characteristics | References |
|---|---|---|---|
| Mesoporous silica | Soft templating; hard-template replication; template removal | Pore adsorption; gatekeeper (“valve”) control; suitable for small molecules/peptides | (, ) |
| Hydroxyapatite/calcium phosphate | Coprecipitation; solvothermal/hydrothermal synthesis; template-induced mineralization | Surface adsorption/ion exchange; suitable for proteins, peptides, and genes | (, ) |
| Carbon dots | Hydrothermal/microwave synthesis; pyrolysis/carbonization; laser ablation; electrochemical exfoliation | Covalent/noncovalent loading; imaging-enabled delivery | (, ) |
| Carbon nanotubes (CNTs) | Chemical Vapor Deposition; arc discharge; laser ablation; oxidative cutting/shortening; PEGylation | Lumen/surface adsorption with π–π interactions; suitable for hydrophobic drugs/siRNA | (, ) |
| Black phosphorus (BP) | Liquid-phase ultrasonication/shear exfoliation; electrochemical exfoliation; surface coating | Physical adsorption/covalent conjugation; photothermal/photosensitization synergy | (, ) |
| Graphene/graphene oxide (GO) | Hummers method; liquid-phase exfoliation; Chemical Vapor Deposition | Sheet-surface adsorption/covalent grafting; combined photothermal/photosensitization applications | (, ) |
Overview of preparation methods and drug encapsulation characteristics of inorganic non-metallic nanoparticles.
2.4 Other types of nanocarriers
In addition to protein-, metal-, and inorganic non-metallic nanocarriers, polymeric nanoparticles, nanogels, dendrimers, lipid-based nanocarriers, bio-derived nanocarriers, and hybrid intelligent nanocarriers also constitute important components of TNBC nanotherapeutic research and remain among the most active areas in both preclinical investigation and clinical translation (). Because TNBC exhibits substantial molecular heterogeneity, lacks well-defined therapeutic targets, and is prone to recurrence and metastasis, effective treatment often requires combination strategies. These features make nanocarrier systems particularly attractive for improving drug delivery, enabling nucleic acid transport, modulating antitumor immunity, and supporting theranostic applications ().
Among the various platforms, polymeric nanocarriers constitute a major class, including biodegradable polyester nanoparticles, polymeric micelles, nanogels, and dendrimers. Nanoparticles, such as those of PLA, PLGA, and PCL, exhibit good biocompatibility and controllable degradability, and are commonly used in TNBC for loading taxanes, doxorubicin, and hydrophobic molecularly targeted agents, thereby improving drug stability, prolonging circulation time, and reducing systemic toxicity (). These nanoparticles are usually prepared by the emulsification-solvent evaporation method or nanoprecipitation. In the former, the polymer and drug are dissolved in an organic phase, dispersed into an aqueous phase to form an emulsion, and then the organic solvent is removed to obtain drug-loaded nanoparticles. In the latter, the polymer and drug are first co-dissolved in a water-miscible organic solvent such as acetone, acetonitrile, ethanol, or dimethyl sulfoxide (). When this organic phase is added to an aqueous phase, rapid solvent exchange decreases polymer and drug solubility, driving polymer self-assembly into nanoparticles while hydrophobic drugs partition into the hydrophobic core or become trapped within the forming polymer matrix (). The residual organic solvent is then removed, and the drug-loaded nanoparticles are purified to eliminate free drug and solvent residues (). This process is relatively simple and easy to scale up (). Polymeric micelles are formed by the self-assembly of amphiphilic block copolymers in aqueous solution, yielding a “hydrophobic core-hydrophilic shell” structure. They are particularly suitable for the delivery of hydrophobic chemotherapeutic agents and small-molecule inhibitors in TNBC. Further incorporation of targeting ligands or pH-/redox-responsive segments can also enable active targeting and stimuli-responsive release in TNBC (). Nanogels, by contrast, are three-dimensional networks formed by chemical or physical crosslinking of hydrophilic polymers and are suitable for loading proteins, nucleic acids, and hydrophilic small molecules. In TNBC, they are commonly used for the delivery of siRNA, miRNA, or immunomodulatory agents, and are generally prepared by inverse emulsion polymerization, photocrosslinking, or click chemistry (). Dendrimers, owing to their highly branched architecture and abundant surface functional groups, can achieve co-delivery of small-molecule drugs and nucleic acids in TNBC and are advantageous for multivalent modification and functional integration ().
Lipid-based nanocarriers are commonly fabricated by thin-film hydration, ethanol injection, reverse-phase evaporation, or high-pressure homogenization, depending on whether liposomes, solid lipid nanoparticles (SLNs), nanostructured lipid carriers (NLCs), or ionizable lipid nanoparticles (LNPs) are being prepared. Bio-derived carriers such as EVs and cell membrane-coated nanoparticles require additional control over source cells, isolation methods, cargo loading, membrane coating, and batch consistency, which are particularly important for future clinical translation (, ).
In addition to these artificially synthesized systems, bio-derived nanocarriers have also demonstrated unique advantages in TNBC, mainly including exosomes/extracellular vesicles, bacteria-derived nanovesicles, and cell membrane-coated nanoparticles (). Because exosomes originate from natural cellular secretion, they generally exhibit low immunogenicity and good biocompatibility. Their endogenous targeting capability mainly refers to parental-cell-dependent tropism and preferential uptake by certain recipient cells, which are mediated by surface molecules such as integrins, tetraspanins, adhesion proteins, and glycans. In TNBC management, this property is relevant because vesicles derived from tumor cells, immune cells, or stromal cells may preferentially interact with homologous tumor cells, immune-cell subsets, or inflammation-associated metastatic niches, thereby improving delivery to primary tumors or disseminated lesions while reducing nonspecific exposure. However, this targeting is relative and context-dependent rather than absolutely specific (, ). In TNBC, exosomes are commonly used for the delivery of siRNA, miRNA, chemotherapeutic agents, or immunomodulatory molecules, and are especially suitable for crossing biological barriers and delivering drugs to metastatic lesions (). They are usually isolated from cell culture supernatants or body fluids by ultracentrifugation, density gradient centrifugation, or size-exclusion chromatography, and drugs can then be loaded by incubation, electroporation, or sonication (). Cell membrane-coated nanoparticles are prepared by extracting membranes from red blood cells, platelets, or tumor cells and then coating them onto polymeric or inorganic nanoparticle cores, thereby endowing the carrier with “self” camouflage, immune evasion, and homologous targeting properties (). In TNBC, tumor cell membrane-coated systems are particularly suitable for enhancing the recognition of primary tumors and metastatic lesions, whereas platelet membrane- or macrophage membrane-coated systems are more appropriate for targeting inflammation-associated microenvironments. These systems are typically fabricated by membrane isolation followed by extrusion or sonication-induced fusion ().
Furthermore, hybrid and intelligent nanocarriers represent an important developmental direction in TNBC nanotherapy. By organically integrating different components such as polymers, lipids, inorganic materials, and biomembranes, these systems can be engineered into composite platforms with multiple stimuli-responsive features and multifunctional synergistic effects, including lipid-polymer hybrid nanoparticles, protein-inorganic hybrid nanocages, and membrane-coated intelligent nanoparticles (Table 4) (190). In TNBC, such carriers are often used to integrate chemotherapy, photothermal/photodynamic therapy, immunomodulation, and imaging functions within a single platform, while enabling on-demand drug release and spatiotemporal control through pH, enzyme, redox, or light responsiveness (191). Their preparation methods generally rely on stepwise self-assembly, core-shell assembly, interfacial deposition, or microfluidic-assisted hybrid fabrication. Overall, these “other types” of nanocarriers not only broaden the strategies available for drug delivery in TNBC, but also provide more flexible technological platforms for nucleic acid therapy, combination therapy, and individualized precision intervention (192).
Table 4
| Carrier type | Preparation method | Loading capacity/characteristics | References |
|---|---|---|---|
| Biodegradable polyester nanoparticles (PLA/PLGA/PCL) | Emulsification–solvent evaporation; nanoprecipitation | Primarily load hydrophobic small molecules; high encapsulation efficiency; controlled release; simple and scalable manufacturing; surface PEGylation and targeting functionalization feasible | (, ) |
| Polymeric micelles (amphiphilic block copolymers) | Aqueous self-assembly; solvent displacement/exchange; thin-film hydration; core/shell crosslinking; ligand grafting or incorporation of pH-/redox-responsive segments | Hydrophobic drugs partition into the hydrophobic core; hydrophilic corona enables long circulation and hemocompatibility; amenable to active targeting and multistage stimulus responsiveness | (, ) |
| Nanogels | Inverse emulsion polymerization; photocrosslinking; chemical crosslinking; physical crosslinking (ionic/temperature/pH) | Suitable for proteins, nucleic acids, and hydrophilic small molecules; high water content enables high payloads; release can be triggered by temperature, pH, enzymes, etc. | (, 183) |
| Liposomes | Thin-film hydration followed by sonication/extrusion; ethanol injection; reverse-phase evaporation | Hydrophilic drugs encapsulated in the aqueous core and hydrophobic drugs in the lipid bilayer; clinically mature with controllable size; PEGylation can prolong circulation | (184, 185) |
| Solid lipid nanoparticles (SLNs) | High-pressure homogenization; microemulsion method; melt emulsification + ultrasonication | Solid-lipid core improves drug stability; suitable for hydrophobic drugs; enables sustained release | (186, 187) |
| Exosomes/extracellular vesicles (EVs) | Isolation by ultracentrifugation, density-gradient centrifugation, or size-exclusion chromatography; loading via electroporation/incubation/sonication | Autologous-like composition with low immunogenicity and intrinsic targeting; can carry small molecules/proteins/nucleic acids; source selection and scalable production require further optimization | (188, 189) |
Overview of preparation methods and drug encapsulation characteristics of miscellaneous nanoparticles.
Based on the above classification of nanocarrier systems, a comparative evaluation is necessary to clarify the relative strengths, limitations, TIME-modulating mechanisms, and translational status of different platforms in TNBC. Therefore, Table 5 summarizes the major nanocarrier types, targeting mechanisms, therapeutic cargos, immune-regulatory effects, limitations, and clinical status.
Table 5
| Nanocarrier type | Targeting mechanism | Representative cargos/strategies | TIME-modulating efficacy | Main limitations | Clinical status | References |
|---|---|---|---|---|---|---|
| Protein-based nanocarriers | Receptor-mediated uptake, especially albumin-, ferritin-, EGFR-, or TfR1-related pathways | Paclitaxel, doxorubicin, siRNA, PROTACs, immune modulators | Improve drug stability, tumor uptake, and intracellular delivery; may enhance antigen release or immune sensitization | Possible immunogenicity, limited loading flexibility, protein stability issues, source-dependent variability | Albumin-based formulations are clinically used; most immune-modulating systems remain preclinical | (193, 194) |
| Metal and metal-oxide nanocarriers | Surface ligand targeting, magnetic guidance, photothermal or catalytic responsiveness | DOX, siRNA, photosensitizers, photothermal agents, imaging probes | Enable imaging-guided therapy, photothermal/photodynamic immune activation, and combination treatment | Long-term retention, metal ion release, oxidative stress, unclear chronic toxicity | Mainly preclinical in TNBC; some iron oxide-based platforms have broader clinical experience | (195, 196) |
| Metal-organic frameworks | Porous confinement, ligand modification, pH/redox-responsive degradation | Chemotherapeutics, photosensitizers, gas molecules, immunomodulators | High loading capacity and multi-cargo delivery; can combine chemotherapy, phototherapy, and immune modulation | Structural stability, biodegradation, metal/ligand safety, complex quality control | Mostly preclinical | (197, 198) |
| Inorganic non-metallic nanocarriers | Pore gating, pH/redox responsiveness, bone-mineral affinity, photothermal conversion | DOX, docetaxel, cabazitaxel, PI3K inhibitors, photosensitizers | Support stimulus-responsive release and combination therapy; calcium phosphate/hydroxyapatite may be useful in bone metastatic niches | Biodegradation varies by material; possible long-term accumulation; limited clinical validation | Mostly preclinical | (199, 200) |
| Polymeric nanoparticles and micelles | Passive accumulation, ligand targeting, pH/redox/enzyme-responsive release | Taxanes, anthracyclines, small-molecule inhibitors, siRNA, immune modulators | Improve solubility, circulation time, controlled release, and combination delivery; may remodel CAFs, TAMs, or immune checkpoints | Premature drug leakage, batch variability, polymer degradation products, scale-up issues | Some polymeric nanomedicines have entered clinical use in oncology; TNBC TIME-targeted systems remain mostly preclinical | (201, 202) |
| Lipid-based nanocarriers | Membrane fusion, endocytosis, ligand targeting, ionizable lipid-mediated nucleic acid delivery | DOX, paclitaxel, siRNA, mRNA, CRISPR-related cargos, immunomodulators | Strong potential for nucleic acid delivery and immune reprogramming; compatible with ICB combinations | Stability, liver accumulation, infusion reactions, PEG-related immune responses | Clinically mature as a platform, but TNBC-specific TIME-targeted applications are still developing | (203, 204) |
| Extracellular vesicles and biomimetic nanoparticles | Homologous targeting, immune-cell tropism, membrane-mediated immune evasion | siRNA, miRNA, chemotherapeutics, checkpoint modulators, tumor antigens | May improve tumor or immune-cell targeting, metastatic niche recognition, and immune modulation | Heterogeneous composition, difficult standardization, low yield, uncertain biodistribution | Early-stage preclinical or exploratory clinical development | (205, 206) |
| Hybrid/intelligent nanocarriers | Multi-ligand targeting, sequential release, multi-stimulus responsiveness | Chemo-immunotherapy combinations, phototherapy agents, vaccines, checkpoint modulators | Integrate tumor killing, immune activation, imaging, and microenvironment remodeling in one platform | Excessive design complexity, difficult manufacturing, regulatory uncertainty, reproducibility concerns | Mostly preclinical; clinical translation requires simplification | (207, 208) |
Comparative evaluation of major nanocarrier systems for TIME modulation in TNBC.
3 Research advances in nanocarriers targeting the tumor microenvironment in TNBC
3.1 Nanoimmunotherapy in TNBC
TNBC is characterized by high invasiveness, a strong tendency for recurrence and metastasis, and pronounced molecular heterogeneity (Figure 2). Compared with other breast cancer subtypes, TNBC generally exhibits higher levels of tumor-infiltrating lymphocytes (TILs) and more active expression of immune-related genes, and is therefore considered one of the breast cancer subtypes with the greatest potential to benefit from immunotherapy. However, in clinical practice, immune checkpoint blockade (ICB) benefits only a subset of patients with TNBC, largely because the TIME in TNBC is highly complex and markedly heterogeneous (209). This complexity involves not only CD8+ T cells, DCs, and NK cells that promote antitumor immunity, but also an abundance of TAMs, MDSCs, Tregs, and immunosuppressive cancer-associated fibroblasts (CAFs), thereby creating a state in which immune evasion, chronic inflammation, metabolic competition, and stromal barriers coexist (210). In TNBC, a dense stromal matrix, CAF activation, and elevated tissue tension are major barriers to effective nanodrug delivery and the sensitization of immunotherapy. By secreting collagen, fibronectin, and profibrotic factors, CAFs promote matrix stiffening, vascular compression, and restricted infiltration of effector T cells, making them an important target for TIME remodeling. To address this issue, one study loaded tranilast, an antifibrotic mechanotherapeutic agent, into PEG-PBLG [poly(ethylene glycol)-block-poly(γ-benzyl-L-glutamate)] polymeric micelles, thereby more effectively reprogramming CAFs, reducing tumor stiffness, relieving vascular compression, and improving nanomedicine penetration in TNBC. Composed of PEG and PBLG, these micelles exhibit favorable drug-loading capacity, circulation stability, and tumor accumulation. Compared with the free drug, the micellar formulation more effectively reprogrammed CAFs at approximately a 100-fold lower dose, reduced tumor stiffness, relieved vascular compression, improved perfusion, and enhanced the penetration and dispersion of nanomedicines within tumors (211).
Figure 2
In recent years, spatial omics and single-cell studies have further demonstrated that the TIME of TNBC is not merely a simple accumulation of cells, but rather a highly organized system with distinct spatial architecture and functional stratification. Using multiplexed ion beam imaging, Keren et al. revealed that tumor cells, stromal cells, and immune cells in TNBC are arranged in an ordered spatial structure, and that these spatial relationships are closely associated with patient prognosis (212, 213). Wang et al. further found that cellular phenotype, activation status, and spatial location jointly influence the response to immune checkpoint blockade, suggesting that the conversion of “cold tumors” into “hot tumors” depends not only on the number of immune cells, but also on their effective recruitment, activation, and interaction patterns within the tissue (214). Therefore, systemic administration alone is often insufficient to simultaneously overcome poor drug delivery efficiency, inadequate immune activation, and off-target toxicity. By contrast, nanocarriers, owing to their advantages in tumor accumulation, co-delivery, and microenvironment-responsive release, have gradually become important tools for remodeling the immune microenvironment of TNBC (215). Representative clinical-stage nanomedicine-related approaches relevant to TNBC or TME/TIME modulation are summarized in Table 6.
Table 6
| Nanomedicine-related approach | Main formulation/target | Clinical relevance to TNBC or TME/TIME modulation | Current status | Representative trial/phase | References |
|---|---|---|---|---|---|
| Albumin-bound paclitaxel | Nab-paclitaxel; albumin-mediated taxane delivery | Evaluated in metastatic TNBC chemotherapy regimens and frequently used as a chemotherapy backbone in combination strategies; mainly improves drug formulation and delivery rather than directly remodeling a defined TIME component | Clinically used; phase II/III evidence in metastatic TNBC | Gradishar et al., phase III metastatic breast cancer trial; nab-paclitaxel plus cisplatin, randomized phase III mTNBC trial | (216, 217) |
| Pegylated liposomal doxorubicin | PEGylated liposomal anthracycline | Developed to reduce anthracycline-associated systemic and cardiac toxicity; evaluated in metastatic breast cancer and TNBC-related clinical settings | Clinically used in oncology; TNBC-specific studies remain limited | PLD in metastatic TNBC, retrospective clinical cohort; TNBC-specific prospective randomized trials remain limited | (218, 219) |
| Cationic liposomal paclitaxel | EndoTAG-1; tumor endothelial/angiogenic vasculature targeting | Represents a vascular/TME-oriented liposomal paclitaxel strategy; evaluated in advanced TNBC but not widely established as standard therapy | Clinical-stage/phase II evidence; limited later-stage validation | EndoTAG-1, randomized phase II trial in advanced TNBC | (220, 221) |
| Nanomedicine plus ICB | Nab-paclitaxel- or liposomal-drug-based regimens combined with PD-1/PD-L1 blockade | Links nanodrug formulation with immunotherapy; however, most clinical regimens use nanomedicine as chemotherapy backbone rather than as a specifically engineered TIME-remodeling platform | Clinically evaluated as chemotherapy backbone; mechanism-specific nano-ICB platforms remain preclinical | IMpassion130, phase III atezolizumab plus nab-paclitaxel; KN046 plus nab-paclitaxel, multicenter phase II mTNBC trial | (222, 223) |
| Mechanistically TIME-targeted nanocarriers | Nanocarriers targeting TAMs, MDSCs, Tregs, CAFs, STING, adenosine signaling, or immune exclusion | Strong preclinical rationale; no mature TNBC-specific clinical trial | Mostly preclinical or early exploratory development | No mature TNBC-specific clinical trial; mainly preclinical or early exploratory development | (224, 225) |
Representative clinical-stage nanomedicine-related approaches relevant to TNBC or TME/TIME modulation.
The rationale for combining nanocarriers with ICB is not limited to increasing the local concentration of PD-1/PD-L1 or CTLA-4 inhibitors (Figure 3). More fundamentally, nanocarriers can alter the immune context required for checkpoint blockade to function (). Chemotherapy-, phototherapy- or ferroptosis-inducing nanoplatforms may increase immunogenic cell death, release tumor-associated antigens and damage-associated molecular patterns, and promote dendritic-cell maturation and cross-presentation (226). These upstream events can increase the pool of tumor-reactive T cells that can subsequently be reinvigorated by checkpoint blockade (227).
Figure 3
Nanocarriers may also enhance ICB responsiveness by relieving suppressive barriers within the TNBC TIME. Examples include reprogramming M2-like TAMs toward inflammatory phenotypes, reducing MDSC and Treg-mediated suppression, activating the STING/type I interferon axis, disrupting CD39/CD73-mediated adenosine signaling, improving vascular perfusion, and decreasing CAF- or ECM-driven immune exclusion (228). These mechanisms suggest that nano-ICB strategies should be evaluated by immune remodeling endpoints such as DC activation, CD8+ T-cell infiltration, T-cell exhaustion status, myeloid polarization and spatial immune access, rather than by tumor volume alone (229).
However, the same immune-activating properties may also increase systemic inflammatory toxicity if spatial control is inadequate. Therefore, future nano-ICB strategies should balance immune activation with safety by optimizing release kinetics, tumor selectivity, dose schedule, and patient selection based on PD-L1/TIL status, immune-excluded architecture, myeloid abundance and stromal barriers (230).
3.2 Remodeling the tumor immune microenvironment in TNBC
3.2.1 Nanostrategies targeting tumor-associated macrophage reprogramming and restoration of phagocytic function
Research on nanocarriers targeting the immune microenvironment of TNBC has initially focused on TAM reprogramming and restoration of phagocytic function. TAMs are among the most critical immunosuppressive cell populations in TNBC and are typically skewed toward an M2-like phenotype, thereby promoting angiogenesis, stromal remodeling, and T-cell exhaustion (231). To address this issue, researchers have developed a variety of nanosystems capable of simultaneously enhancing macrophage phagocytosis and inducing polarization switching from the M2 to the M1 phenotype. For example, the engineered nanoparticles constructed by Zhao et al. co-deliver an anti-CD24 antibody, celastrol, and MFN1-shRNA, and by blocking the CD24–Siglec10 “don’t eat me” signal while regulating mitochondrial dynamics in TAMs, they significantly enhance phagocytosis, antitumor immune responses, and postoperative immune memory in TNBC (232). Similarly, nanosystems based on the co-delivery of R848 and anti-SIRPα antibodies have also demonstrated the ability to synergistically promote macrophage phagocytosis and repolarization, providing a promising strategy for TNBC nano-immunotherapy centered on innate immunity (233).
3.2.2 Remodeling of the immune microenvironment based on the STING pathway, ferroptosis, and metabolic regulation
In recent years, nanoplatforms centered on the STING pathway, ferroptosis, and metabolic intervention have also developed rapidly. The “logic-gated” Trojan-horse system proposed by Guo et al. employs an exosome-like structure carrying DNA fragments together with biodegradable hollow mesoporous organosilica nanoparticles, enabling differential activation of TNBC cells and antigen-presenting cells, thereby selectively inducing ferroptosis and activating the STING pathway (234). Meanwhile, Ye et al. coupled photothermal therapy, ferroptosis, and metformin-mediated immunoregulation through an Fe-PDA-MET nanoplatform, significantly increasing the infiltration of CD8+ T cells and NK cells and promoting the conversion of the TIME from an immune-cold to an immune-hot state (235).
3.2.3 Nano-interventions targeting immunosuppressive metabolic networks
A third strategy emphasizes precise interventions in immunosuppressive metabolic networks and refractory cell subpopulations. Enhanced glycolysis, lactate accumulation, hypoxia, and redox imbalance are commonly observed in TNBC. These factors not only impair the functions of effector T cells and NK cells, but also promote the expansion of TAMs, MDSCs, and Tregs (236). The adenosine axis represents another important immunometabolic pathway contributing to the suppressive TIME of TNBC. Extracellular ATP released from stressed or dying tumor cells can be sequentially converted into AMP and adenosine by CD39 and CD73. Accumulated adenosine then activates A2A and A2B receptors on immune cells, thereby suppressing CD8+ T-cell and NK-cell effector functions, promoting regulatory or suppressive immune phenotypes, and weakening antitumor immunity (237). In TNBC, CD73 expression has been associated with immune escape, poorer clinical outcomes, and resistance to anthracycline-based therapy, suggesting that CD39/CD73-mediated adenosine signaling may represent a relevant target for TIME remodeling (238). Site-specific sequential release nanoparticles developed by She et al. achieve dual metabolic inhibition through stepwise interference with glycolysis and mitochondrial energy metabolism (239). After tumor-cell internalization, the reductive intracellular environment triggers the release of a CRISPR/Cas9 module that downregulates LDHA expression, thereby suppressing glycolysis-associated lactate production (240). Subsequently, CPI-Z2 is released from the nanoplatform to block mitochondrial tricarboxylic acid cycle activity (241). By simultaneously limiting lactate-dependent immunosuppression and mitochondrial energy metabolism, this strategy may remodel the immunosuppressive TNBC microenvironment and promotes antitumor immune activation (242).
3.2.4 Precision nanotherapies for immune evasion and treatment-refractory TNBC subtypes
For TNBCs lacking MHC-I expression or showing poor responsiveness to anti-PD-L1 therapy, the LCL161-loaded macrophage membrane-coated nanoparticles constructed by Zhang et al. can recognize tumor cells with high CD47 expression via SIRPα. Their therapeutic value lies in localized immune activation rather than nonspecific systemic inflammation. On the one hand, LCL161-induced release of pro-inflammatory cytokines and HMGB1 can provide danger-associated signals that promote immunogenic tumor-cell stress, phagocyte activation, and antigen presentation. On the other hand, macrophage membrane decoration supports tumor recognition and enhances phagocytic activation, thereby partially overcoming the limitations of conventional CTL-dependent immunotherapy in MHC-I-deficient TNBC (243).
Overall, nanocarriers targeting the tumor immune microenvironment of TNBC have evolved from early single-function drug delivery tools designed merely to enhance drug accumulation into multifunctional platforms integrating precise targeting, immune remodeling, imaging monitoring, and combination therapy. Their core value is no longer limited to the delivery of chemotherapeutic agents, but rather lies in their ability to systematically improve the immunosuppressive niche of TNBC by regulating TAMs, DCs, T cells, CD39/CD73-mediated adenosine signaling, the STING pathway, and tumor metabolic networks, thereby enhancing the synergistic efficacy of immune checkpoint inhibitors, phototherapy, chemotherapy, and nucleic acid-based therapies.
3.3 Contradictory findings and unsuccessful translational outcomes
Although many TNBC nanoplatforms show strong antitumor activity in cell-derived xenograft, syngeneic or orthotopic mouse models, these positive results should be interpreted cautiously (244). Conflicting outcomes may arise from differences in tumor implantation site, immune competence, nanoparticle dose, administration route, particle size, surface charge, protein corona formation, stromal density and the selected efficacy endpoints (245). In particular, subcutaneous models may overestimate drug penetration and EPR-mediated accumulation compared with heterogeneous human TNBC lesions (246).
Several factors may explain why successful preclinical nanomedicines fail to progress clinically. These include over-reliance on passive EPR accumulation, insufficient validation in immunocompetent and metastatic models, lack of standardized immune endpoints, inadequate long-term toxicity assessment, excessive structural complexity, poor manufacturability, and the absence of biomarker-based patient selection (247). Therefore, negative or inconsistent findings should not be viewed merely as technical failures but as important evidence that TNBC nanomedicine requires model selection, mechanistic validation and clinical stratification (248).
3.4 Clinical-trial landscape of nanomedicine-related strategies in TNBC
Clinical translation of TME/TIME-targeted nanocarriers in TNBC remains at an early stage (249). Some clinically used or clinical-stage nanomedicine-related approaches, such as albumin-bound paclitaxel or pegylated liposomal doxorubicin, have been evaluated in breast cancer or TNBC treatment regimens (250). However, most platforms specifically designed to remodel TAMs, MDSCs, Tregs, stromal barriers, adenosine signaling or STING pathways remain preclinical. The distinction between clinically used nanodrug formulations and mechanistically TME-targeted nanocarriers is therefore important (251).
4 Challenges and future perspectives
Despite rapid progress in TNBC nano-immunotherapy, several barriers continue to limit its clinical translation. These include the structural complexity of multifunctional nanoplatforms, insufficient batch-to-batch reproducibility, difficulties in accurately predicting their biodistribution and long-term in vivo fate, and the substantial gap between simplified animal models and the immunological heterogeneity observed in patients with TNBC (252). Protein corona formation may alter nanoparticle identity, biodistribution, cellular uptake, immune recognition, and targeting efficiency, thereby complicating the extrapolation from in vitro performance to in vivo efficacy (253). Although patient stratification has been emphasized in this review as a key translational principle, it has not yet been fully standardized for TNBC nanomedicine (254). Future studies should therefore translate this principle into operational criteria, including immune subtype, PD-L1 and TIL status, stromal exclusion, receptor expression such as EGFR, TfR1, or folate receptor, EPR-related vascular features, and protein-corona behavior (255, 256). On this basis, clinically translatable materials, simplified and reproducible carrier designs, spatial multi-omics-guided precision engineering, and validation in combination with standard TNBC therapies should be prioritized. These efforts may help move TNBC nano-immunotherapy from proof-of-concept studies toward clinically applicable therapeutic strategies (252).
4.1 Clinical limitations and controversies of the EPR effect
The EPR effect remains an important conceptual basis for nanomedicine, but it should not be treated as a universally reliable delivery mechanism in patients (257). Human TNBC lesions differ markedly in vascular density, perfusion, endothelial permeability, interstitial pressure, stromal composition and prior treatment exposure. As a result, EPR-dependent accumulation may vary not only between patients but also between primary tumors, lymph-node metastases and visceral or bone metastases within the same patient (258). This limitation helps explain why passive targeting often performs better in murine models than in clinical settings.
Therefore, future TNBC nanotherapy should move beyond EPR-centric design. More clinically realistic strategies include combining passive accumulation with active receptor targeting, stromal or vascular modulation, image-guided assessment of tumor deposition, stimulus-responsive release, and patient selection based on vascular and stromal features (259).
4.2 Long-term toxicity, biodistribution and safety concerns
Long-term safety remains a central barrier to nanomedicine translation. Nanoparticles may accumulate in the liver, spleen, bone marrow and mononuclear phagocyte system, while renal clearance is strongly influenced by size, charge and degradation behavior (260). Persistent inorganic components, metal ion release, complement activation, hemolysis, chronic inflammation, immunogenicity and unexpected interactions with immune cells should be systematically evaluated (261). Thus, the term biocompatible should be used cautiously and only in relation to a defined material, dose, route, degradation profile and observation period (262).
4.3 Regulatory, manufacturing, quality-control and commercialization barriers
Regulatory translation requires more than proof of antitumor efficacy. Critical quality attributes such as particle size, polydispersity index, zeta potential, morphology, drug-loading efficiency, encapsulation efficiency, release profile, residual solvent, endotoxin level, sterility, storage stability and batch-to-batch consistency must be controlled under scalable GMP-compatible conditions. Highly complex multifunctional platforms may be difficult to commercialize if each component introduces additional variability in composition, potency, degradation and immune effect (263).
For this reason, clinically oriented TNBC nanomedicine should prioritize simplified, reproducible and modular designs. Platforms with clear mechanisms of action, validated potency assays, stable manufacturing processes and compatibility with standard chemotherapy or immunotherapy regimens are more likely to advance beyond proof-of-concept studies (264, 265).
4.4 Emerging biomimetic carriers and AI-assisted nanomedicine design
Biomimetic nanoparticles, extracellular vesicles and engineered immune-cell-derived carriers represent rapidly developing approaches for TNBC (266). Tumor-cell membrane coating may support homotypic targeting, platelet or macrophage membrane coating may recognize inflammatory or metastatic niches, and immune-cell-derived vesicles may carry immunomodulatory signals (267). However, their clinical use requires standardized cell sources, reproducible membrane extraction, cargo-loading methods, potency assays and safety testing (268).
Artificial intelligence and machine learning may further support nanomedicine development by predicting structure-property relationships, optimizing formulation parameters, modeling protein corona formation, estimating biodistribution, identifying patient-specific biomarkers and predicting toxicity or therapeutic response (269). Nevertheless, AI-assisted design must be validated experimentally and should not replace mechanistic biological evaluation (270).
4.5 Multi-omics-guided precision nanotherapy
Single-cell sequencing, spatial transcriptomics, spatial proteomics, multiplexed imaging and patient-specific immune profiling can help identify which TNBC lesions are inflamed, immune-excluded, myeloid-dominant, stromal-rich or metabolically suppressive (Figure 4) (271). These data can guide the selection of targeting ligands, therapeutic cargos, release triggers and combination partners. For example, EGFR/TfR1/folate receptor expression may inform active targeting, PD-L1 and TIL status may guide ICB combinations, myeloid abundance may support TAM- or MDSC-directed strategies, and CAF/ECM-rich architecture may require stromal modulation before immune activation (272).
Figure 4
In this framework, TNBC nanotherapy should evolve from a one-size-fits-all delivery approach toward biomarker-matched and dynamically monitored precision therapy. Longitudinal sampling, liquid biopsy, imaging of nanoparticle deposition and immune profiling before and after treatment may allow adaptive selection of nanocarrier platforms and combination regimens (273).
5 Conclusion
In summary, nanodrug carriers have provided new research perspectives and therapeutic strategies for regulating the TIME in TNBC. Compared with traditional drug delivery approaches, nanocarriers can not only improve drug stability and enhance accumulation at tumor sites, but, more importantly, can also target key components such as TAMs, DCs, and T cells to regulate immune-cell polarization, enhance antigen presentation, induce immunogenic cell death, and reverse the immunosuppressive state. In selected preclinical or biomarker-defined settings, these strategies may promote immune activation, partially convert immune-cold phenotypes toward more inflamed states, and increase sensitivity to immunotherapy. Although this field still faces challenges such as heterogeneity, delivery efficiency, safety, and clinical translation, the continued development of materials science, tumor immunology, and precision medicine is expected to make intelligent nanocarriers for precise TIME regulation an important direction in the comprehensive treatment of TNBC and offer new possibilities for improving patient prognosis. Future progress will depend not only on simplified carrier design and clinically compatible materials, but also on the validation of practical stratification criteria that match specific nanocarrier functions with the immune, molecular, stromal, and vascular characteristics of individual TNBC lesions.
Statements
Author contributions
XD: Writing – review & editing, Data curation, Formal analysis, Investigation, Writing – original draft. FC: Formal analysis, Writing – review & editing, Data curation, Investigation, Writing – original draft. LW: Investigation, Writing – review & editing, Writing – original draft, Methodology. MW: Investigation, Writing – original draft, Methodology. YL: Writing – original draft, Investigation, Methodology. LG: Writing – original draft, Investigation, Methodology. JX: Investigation, Methodology, Writing – original draft. XL: Methodology, Investigation, Writing – original draft. JS: Investigation, Funding acquisition, Project administration, Writing – review & editing, Conceptualization, Writing – original draft, Formal analysis, Data curation. XZ: Formal analysis, Methodology, Project administration, Conceptualization, Supervision, Data curation, Writing – review & editing, Writing – original draft. RM: Investigation, Conceptualization, Supervision, Funding acquisition, Writing – original draft, Writing – review & editing, Project administration, Data curation, Formal analysis.
Funding
The author(s) declared financial support was received for this work and/or its publication. This work was supported by National Natural Science Foundation of China (No. 32501250), the Natural Science Foundation of Jiangsu Province (No. BK20240947), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 24KJB180016), Jiangsu Provincial Association for Science and Technology Young Elite Talent Support Project (No. JSTJ-2025-169) and Clinical Medical Research Institute of Traditional Chinese Medicine in Andrology (Grant No. 25-LCYJS-06).
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
1
LiMOWolfNRauletDHAkkariLPittetMJRodriguezPCet al. Innate immune cells in the tumor microenvironment. Cancer Cell. (2021) 39:725–9. doi: 10.1016/j.ccell.2021.05.016
2
MaoXXuJWangWLiangCHuaJLiuJet al. Crosstalk between cancer-associated fibroblasts and immune cells in the tumor microenvironment: new findings and future perspectives. Mol Cancer. (2021) 20:131. doi: 10.1186/s12943-021-01428-1
3
TufailMJiangC-HLiN. Immune evasion in cancer: mechanisms and cutting-edge therapeutic approaches. Signal Transduction Targeted Ther. (2025) 10:227. doi: 10.1038/s41392-025-02280-1
4
XiangXNiuY-RWangZ-HYeL-LPengW-BZhouQ. Cancer-associated fibroblasts: vital suppressors of the immune response in the tumor microenvironment. Cytokine Growth Factor Rev. (2022) 67:35–48. doi: 10.1016/j.cytogfr.2022.07.006
5
PengGYangXHeJZhangMLiuKTuJet al. SENP1-sirt3 axis promotes cholesterol biosynthesis in tumor-associated macrophages to suppress anti-tumor immunity. Cancer Lett. (2025) 623:217728. doi: 10.1016/j.canlet.2025.217728
6
Garrido-CastroACLinNUPolyakK. Insights into molecular classifications of triple-negative breast cancer: improving patient selection for treatment. Cancer Discov. (2019) 9:176–98. doi: 10.1158/2159-8290.CD-18-1177
7
ZhangYChenHMoHHuXGaoRZhaoYet al. Single-cell analyses reveal key immune cell subsets associated with response to pd-l1 blockade in triple-negative breast cancer. Cancer Cell. (2021) 39:1578–1593.e8. doi: 10.1016/j.ccell.2021.09.010
8
SchmidPCortesJDentRPusztaiLMcArthurHKümmelSet al. Event-free survival with pembrolizumab in early triple-negative breast cancer. N Engl J Med. (2022) 386:556–67. doi: 10.1056/NEJMoa2112651
9
GaoJWangWPeiQLordMSYuH. Engineering nanomedicines through boosting immunogenic cell death for improved cancer immunotherapy. Acta Pharmacol Sin. (2020) 41:986–94. doi: 10.1038/s41401-020-0400-z
10
GalonJCostesASanchez-CaboFKirilovskyAMlecnikBLagorce-PagèsCet al. Type, density, and location of immune cells within human colorectal tumors predict clinical outcome. Science. (2006) 313:1960–4. doi: 10.1126/science.1129139
11
FridmanWHPagèsFSautès-FridmanCGalonJ. The immune contexture in human tumours: impact on clinical outcome. Nat Rev Cancer. (2012) 12:298–306. doi: 10.1038/nrc3245
12
ChenDSMellmanI. Elements of cancer immunity and the cancer–immune set point. Nature. (2017) 541:321–30. doi: 10.1038/nature21349
13
BinnewiesMRobertsEWKerstenKChanVFearonDFMeradMet al. Understanding the tumor immune microenvironment (time) for effective therapy. Nat Med. (2018) 24:541–50. doi: 10.1038/s41591-018-0014-x
14
WuQWangLWeiHLiBYangJWangZet al. Integration of multiple key molecules in lung adenocarcinoma identifies prognostic and immunotherapeutic relevant gene signatures. International immunopharmacology. (2020) 83:106477.
15
YangLZhangYWangYJiangPLiuFFengN. Ferredoxin 1 is a cuproptosis-key gene responsible for tumor immunity and drug sensitivity: A pan-cancer analysis. Frontiers in pharmacology. (2022) 13:938134.
16
PhilipMSchietingerA. CD8+ t cell differentiation and dysfunction in cancer. Nat Rev Immunol. (2022) 22:209–23. doi: 10.1038/s41577-021-00574-3
17
ParkJHsuehP-CLiZHoP-C. Microenvironment-driven metabolic adaptations guiding cd8+ t cell anti-tumor immunity. Immunity. (2023) 56:32–42. doi: 10.1016/j.immuni.2022.12.008
18
TayCTanakaASakaguchiS. Tumor-infiltrating regulatory t cells as targets of cancer immunotherapy. Cancer Cell. (2023) 41:450–65. doi: 10.1016/j.ccell.2023.02.014
19
LongXZhangSWangYChenJLuYHouHet al. Targeting jmjd1c to selectively disrupt tumor treg cell fitness enhances antitumor immunity. Nat Immunol. (2024) 25:525–36. doi: 10.1038/s41590-024-01746-8
20
LasserSAOzbay KurtFGArkhypovIUtikalJUmanskyV. Myeloid-derived suppressor cells in cancer and cancer therapy. Nat Rev Clin Oncol. (2024) 21:147–64. doi: 10.1038/s41571-023-00846-y
21
KaoK-CVilboisSTsaiC-HHoP-C. Metabolic communication in the tumour–immune microenvironment. Nat Cell Biol. (2022) 24:1574–83. doi: 10.1038/s41556-022-01002-x
22
CassettaLPollardJW. A timeline of tumour-associated macrophage biology. Nat Rev Cancer. (2023) 23:238–57. doi: 10.1038/s41568-022-00547-1
23
XuJDingLMeiJHuYKongXDaiSet al. Dual roles and therapeutic targeting of tumor-associated macrophages in tumor microenvironments. Signal Transduction Targeted Ther. (2025) 10:268. doi: 10.1038/s41392-025-02325-5
24
Heras-MurilloIAdán-BarrientosIGalánMWculekSKSanchoD. Dendritic cells as orchestrators of anticancer immunity and immunotherapy. Nat Rev Clin Oncol. (2024) 21:257–77. doi: 10.1038/s41571-024-00859-1
25
Luri-ReyCTeijeiraÁWculekSKDe AndreaCHerreroCLopez-JaneiroAet al. Cross-priming in cancer immunology and immunotherapy. Nat Rev Cancer. (2025) 25:249–73. doi: 10.1038/s41568-024-00785-5
26
SharmaPGoswamiSRaychaudhuriDSiddiquiBASinghPNagarajanAet al. Immune checkpoint therapy—current perspectives and future directions. Cell. (2023) 186:1652–69. doi: 10.1016/j.cell.2023.03.006
27
SunQHongZZhangCWangLHanZMaD. Immune checkpoint therapy for solid tumours: clinical dilemmas and future trends. Signal Transduction Targeted Ther. (2023) 8:320. doi: 10.1038/s41392-023-01522-4
28
ZaidiNJaffeeEM. Immunotherapy transforms cancer treatment. J Clin Invest. (2018) 129:46–7. doi: 10.1172/JCI126046
29
ChinKChandVKNuytenDSA. Avelumab: clinical trial innovation and collaboration to advance anti-pd-l1 immunotherapy. Ann Oncol. (2017) 28:1658–66. doi: 10.1093/annonc/mdx170
30
BräutigamKSkokKSzymonskiKRiftCVKaramitopoulouE. Tumor immune microenvironment in pancreatic ductal adenocarcinoma revisited – exploring the “space. Cancer Lett. (2025) 622:217699. doi: 10.1016/j.canlet.2025.217699
31
XuM-YZengNLiuC-QSunJ-XAnYZhangS-Het al. Enhanced cellular therapy: revolutionizing adoptive cellular therapy. Exp Hematol Oncol. (2024) 13:47. doi: 10.1186/s40164-024-00506-6
32
LinYXuJLanH. Tumor-associated macrophages in tumor metastasis: biological roles and clinical therapeutic applications. J Hematol Oncol. (2019) 12:76. doi: 10.1186/s13045-019-0760-3
33
LeeCLeeHChoHKimSChoiIHwangYet al. Combination of anti‐pd‐l1 antibody with peptide mel‐dkla targeting m2 tumor‐associated macrophages suppresses breast cancer metastasis. Cancer Commun. (2022) 42:345–9. doi: 10.1002/cac2.12276
34
SchmidPCortesJDentRMcArthurHPusztaiLKümmelSet al. Overall survival with pembrolizumab in early-stage triple-negative breast cancer. N Engl J Med. (2024) 391:1981–91. doi: 10.1056/NEJMoa2409932
35
GruossoTGigouxMManemVSKBertosNZuoDPerlitchIet al. Spatially distinct tumor immune microenvironments stratify triple-negative breast cancers. J Clin Invest. (2019) 129:1785–800. doi: 10.1172/JCI96313
36
SchreiberRDOldLJSmythMJ. Cancer immunoediting: integrating immunity’s roles in cancer suppression and promotion. Science. (2011) 331:1565–70. doi: 10.1126/science.1203486
37
HanahanDWeinbergRA. Hallmarks of cancer: the next generation. Cell. (2011) 144:646–74. doi: 10.1016/j.cell.2011.02.013
38
ChenDSMellmanI. Oncology meets immunology: the cancer-immunity cycle. Immunity. (2013) 39:1–10. doi: 10.1016/j.immuni.2013.07.012
39
LeachDRKrummelMFAllisonJP. Enhancement of antitumor immunity by ctla-4 blockade. Science. (1996) 271:1734–6. doi: 10.1126/science.271.5256.1734
40
HodiFSO’DaySJMcDermottDFWeberRWSosmanJAHaanenJBet al. Improved survival with ipilimumab in patients with metastatic melanoma. N Engl J Med. (2010) 363:711–23. doi: 10.1056/NEJMoa1003466
41
IshidaYAgataYShibaharaKHonjoT. Induced expression of pd-1, a novel member of the immunoglobulin gene superfamily, upon programmed cell death. EMBO J. (1992) 11:3887–95. doi: 10.1002/j.1460-2075.1992.tb05481.x
42
TopalianSLHodiFSBrahmerJRGettingerSNSmithDCMcDermottDFet al. Safety, activity, and immune correlates of anti–pd-1 antibody in cancer. N Engl J Med. (2012) 366:2443–54. doi: 10.1056/NEJMoa1200690
43
DerakhshanFReis-FilhoJS. Pathogenesis of triple-negative breast cancer. Annu Rev Pathol Mech Dis. (2022) 17:181–204. doi: 10.1146/annurev-pathol-042420-093238
44
DentRTrudeauMPritchardKIHannaWMKahnHKSawkaCAet al. Triple-negative breast cancer: clinical features and patterns of recurrence. Clin Cancer Res. (2007) 13:4429–34. doi: 10.1158/1078-0432.CCR-06-3045
45
PogodaKNiwińskaAMurawskaMPieńkowskiT. Analysis of pattern, time and risk factors influencing recurrence in triple-negative breast cancer patients. Med Oncol. (2013) 30:388. doi: 10.1007/s12032-012-0388-4
46
Romero-CordobaSLRebollar-VegaRGQuintanar-JuradoVBautista-PinaVRodriguez-CuevasSMaffuz-AzizAet al. Abstract a25: differences in microrna expression patterns in breast cancer subtypes. Cancer Res. (2012) 72:A25–5. doi: 10.1158/1538-7445.NONRNA12-A25
47
GuoQQianCWangXQianZ-M. Transferrin receptors. Exp Mol Med. (2025) 57:724–32. doi: 10.1038/s12276-025-01436-x
48
CandelariaPVLeohLSPenichetMLDaniels-WellsTR. Antibodies targeting the transferrin receptor 1 (tfr1) as direct anti-cancer agents. Front Immunol. (2021) 12:607692. doi: 10.3389/fimmu.2021.607692
49
LeeNKChoSKimI-S. Ferritin – a multifaceted protein scaffold for biotherapeutics. Exp Mol Med. (2022) 54:1652–7. doi: 10.1038/s12276-022-00859-0
50
NakhjavaniMShigdarS. Future of pd-1/pd-l1 axis modulation for the treatment of triple-negative breast cancer. Pharmacol Res. (2022) 175:106019. doi: 10.1016/j.phrs.2021.106019
51
Alonso-RonCVethencourtAGonzález-SuárezEOruezabalRI. Triple-negative breast cancer systemic treatment: disruptive early-stage developments for overcoming stagnation in the advanced pipeline. Cancers. (2025) 17:633. doi: 10.3390/cancers17040633
52
SchmidPCortesJPusztaiLMcArthurHKümmelSBerghJet al. Pembrolizumab for early triple-negative breast cancer. N Engl J Med. (2020) 382:811–21. doi: 10.1056/NEJMoa1910549
53
DriAArpinoGBianchiniGCuriglianoGDanesiRDe LaurentiisMet al. Breaking barriers in triple negative breast cancer (tnbc) – unleashing the power of antibody-drug conjugates (adcs). Cancer Treat Rev. (2024) 123:102672. doi: 10.1016/j.ctrv.2023.102672
54
KongXQiYWangXJiangRWangJFangYet al. Nanoparticle drug delivery systems and their applications as targeted therapies for triple negative breast cancer. Prog Mater Sci. (2023) 134:101070. doi: 10.1016/j.pmatsci.2023.101070
55
LiedtkeCMazouniCHessKRAndréFTordaiAMejiaJAet al. Response to neoadjuvant therapy and long-term survival in patients with triple-negative breast cancer. J Clin Oncol. (2008) 26:1275–81. doi: 10.1200/JCO.2007.14.4147
56
SchmidPAdamsSRugoHSSchneeweissABarriosCHIwataHet al. Atezolizumab and nab-paclitaxel in advanced triple-negative breast cancer. N Engl J Med. (2018) 379:2108–21. doi: 10.1056/NEJMoa1809615
57
CortesJCesconDWRugoHSNoweckiZImS-AYusofMMet al. Pembrolizumab plus chemotherapy versus placebo plus chemotherapy for previously untreated locally recurrent inoperable or metastatic triple-negative breast cancer (keynote-355): a randomised, placebo-controlled, double-blind, phase 3 clinical trial. Lancet. (2020) 396:1817–28. doi: 10.1016/S0140-6736(20)32531-9
58
RobsonMImS-ASenkusEXuBDomchekSMMasudaNet al. Olaparib for metastatic breast cancer in patients with a germline brca mutation. N Engl J Med. (2017) 377:523–33. doi: 10.1056/NEJMoa1706450
59
ZhouZWangJWangJYangSWangRZhangGet al. Deciphering the tumor immune microenvironment from a multidimensional omics perspective: insight into next-generation car-t cell immunotherapy and beyond. Mol Cancer. (2024) 23:131. doi: 10.1186/s12943-024-02047-2
60
AliazisKChristofidesAShahRYeoYYJiangSCharestAet al. The tumor microenvironment’s role in the response to immune checkpoint blockade. Nat Cancer. (2025) 6:924–37. doi: 10.1038/s43018-025-00986-3
61
AslehKRiazNNielsenTO. Heterogeneity of triple negative breast cancer: current advances in subtyping and treatment implications. J Exp Clin Cancer Res. (2022) 41:265. doi: 10.1186/s13046-022-02476-1
62
MajoriniMTCancilaVRigoniABottiLDugoMTriulziTet al. Infiltrating mast cell–mediated stimulation of estrogen receptor activity in breast cancer cells promotes the luminal phenotype. Cancer Res. (2020) 80:2311–24. doi: 10.1158/0008-5472.CAN-19-3596
63
SahinUSchmidtMDerhovanessianECortiniAVoglerIOmokokoTet al. Individualized mrna vaccines evoke durable t cell immunity in adjuvant tnbc. Nature. (2026) 651:1088–96. doi: 10.1038/s41586-025-10004-2
64
ZhangZWangTWangXZhangYSongSMaC. Improving the ability of car-t cells to hit solid tumors: challenges and strategies. Pharmacol Res. (2022) 175:106036. doi: 10.1016/j.phrs.2021.106036
65
FanDCaoYCaoMWangYCaoYGongT. Nanomedicine in cancer therapy. Signal Transduction Targeted Ther. (2023) 8:293. doi: 10.1038/s41392-023-01536-y
66
ZhangWHuEWangYMiaoSLiuYHuYet al. Emerging Antibacterial Strategies with Application of Targeting Drug Delivery System and Combined Treatment. International journal of nanomedicine. 16:6141–6156.
67
LiYChampionJA. Self-assembling nanocarriers from engineered proteins: design, functionalization, and application for drug delivery. Adv Drug Delivery Rev. (2022) 189:114462. doi: 10.1016/j.addr.2022.114462
68
ChowdhuryPGhoshUSamantaKJaggiMChauhanSCYallapuMM. Bioactive nanotherapeutic trends to combat triple negative breast cancer. Bioact Mater. (2021) 6:3269–87. doi: 10.1016/j.bioactmat.2021.02.037
69
IqbalHRazzaqALiuFZhangFTaoJLiTet al. A bioinspired doxorubicin-carried albumin nanocage against aggressive cancer via systemic targeting of tumor and lymph node metastasis. J Controlled Release. (2024) 372:829–45. doi: 10.1016/j.jconrel.2024.07.001
70
HoogenboezemENPatelSSLoJHCavnarABBabbLMFranciniNet al. Structural optimization of sirna conjugates for albumin binding achieves effective mcl1-directed cancer therapy. Nat Commun. (2024) 15:1581. doi: 10.1038/s41467-024-45609-0
71
JaiswalCGuptaTJadiPKMosesJCMandalBB. Injectable anti-cancer drug loaded silk-based hydrogel for the prevention of cancer recurrence and post-lumpectomy tissue regeneration aiding triple-negative breast cancer therapy. Biomater Adv. (2023) 145:213224. doi: 10.1016/j.bioadv.2022.213224
72
SeibFPPritchardEMKaplanDL. Self‐assembling doxorubicin silk hydrogels for the focal treatment of primary breast cancer. Adv Funct Mater. (2013) 23:58–65. doi: 10.1002/adfm.201201238
73
XiaDZhangXHaoHJiangWChenCLiHet al. Strategies to prolong drug retention in solid tumors by aggregating Endo-CMC nanoparticles. Journal of controlled release : official journal of the Controlled Release Society. (2023) 360:705–717.
74
TruffiMFiandraLSorrentinoLMonieriMCorsiFMazzucchelliS. Ferritin nanocages: a biological platform for drug delivery, imaging and theranostics in cancer. Pharmacol Res. (2016) 107:57–65. doi: 10.1016/j.phrs.2016.03.002
75
TruffiMSitiaLMazzucchelliSSevieriMBonizziAMaininiFet al. Antitumor efficacy and immunomodulation of h-ferritin nanocaged doxorubicin for triple negative breast cancer. ACS Appl Nano Mater. (2025) 8:21724–37. doi: 10.1021/acsanm.5c03120
76
XuHFanYJinJWangLLangYLiuYet al. Ferritin nanocages facilitate protac delivery for enhanced targeted therapy in triple-negative breast cancer. Chem Eng J. (2025) 518:164697. doi: 10.1016/j.cej.2025.164697
77
SuffianIFBMAl-JamalKT. Bioengineering of virus-like particles as dynamic nanocarriers for in vivo delivery and targeting to solid tumours. Adv Drug Delivery Rev. (2022) 180:114030. doi: 10.1016/j.addr.2021.114030
78
SunXLianYTianTCuiZ. Virus-like particle encapsulation of functional proteins: advances and applications. Theranostics. (2024) 14:7604–22. doi: 10.7150/thno.103127
79
HassaninIASaeedHMShehatMGYakoutNMHassaninEAAbdelmoneemMAet al. Ultrasmall lactoferrin/lipid multicompartmental nanomedicine-based reprogramming of glycolysis in triple-negative breast cancer via hdac6/ldh axis enhances cancer immunotherapy. Chem Eng J. (2025) 514:163015. doi: 10.1016/j.cej.2025.163015
80
MurphyGBraydenDJCheungDLLiewAFitzgeraldMPanditA. Albumin-based delivery systems: recent advances, challenges, and opportunities. J Controlled Release. (2025) 380:375–95. doi: 10.1016/j.jconrel.2025.01.035
81
SahooJKHasturkOFalcucciTKaplanDL. Silk chemistry and biomedical material designs. Nat Rev Chem. (2023) 7:302–18. doi: 10.1038/s41570-023-00486-x
82
ChenY-LBaoC-JDuanJ-LXieYLuW-L. Overcoming biological barriers by virus-like drug particles for drug delivery. Adv Drug Delivery Rev. (2023) 203:115134. doi: 10.1016/j.addr.2023.115134
83
ZhaiYZhangWWangJKongYRongRLangTet al. Interleukin 15-presenting nanovesicles with doxorubicin-loaded ferritin cores for cancer immunochemotherapy. Adv Sci. (2025) 12:2409194. doi: 10.1002/advs.202409194
84
LuoZHuangYBatraNChenYHuangHWangYet al. Inhibition of irhom1 by cd44-targeting nanocarrier for improved cancer immunochemotherapy. Nat Commun. (2024) 15:255. doi: 10.1038/s41467-023-44572-6
85
YinJXieMWangJCuiMZhuDSuSet al. Gold‐nanoparticle‐mediated assembly of high‐order dna nano‐architectures. Small. (2022) 18:2200824. doi: 10.1002/smll.202200824
86
MiaoDYuYChenYLiuYSuG. Facile Construction of i-Motif DNA-Conjugated Gold Nanostars as Near-Infrared and pH Dual-Responsive Targeted Drug Delivery Systems for Combined Cancer Therapy. Molecular pharmaceutics. (2020) 17(4):1127–1138.
87
ChengZChuXWuXXuJZhongHYinJ. Controlled synthesis of silver nanoplates and nanoparticles by reducing silver nitrate with hydroxylamine hydrochloride. Rare Met. (2017) 36:799–805. doi: 10.1007/s12598-017-0949-y
88
LiangJTianXZhouMYanFFanJQinYet al. Shikonin and chitosan-silver nanoparticles synergize against triple-negative breast cancer through ripk3-triggered necroptotic immunogenic cell death. Biomaterials. (2024) 309:122608. doi: 10.1016/j.biomaterials.2024.122608
89
AmiriMSalavati-NiasariMAkbariA. Magnetic nanocarriers: evolution of spinel ferrites for medical applications. Adv Colloid Interface Sci. (2019) 265:29–44. doi: 10.1016/j.cis.2019.01.003
90
MuQLinGJeonMWangHChangF-CReviaRAet al. Iron oxide nanoparticle targeted chemo-immunotherapy for triple negative breast cancer. Mater Today. (2021) 50:149–69. doi: 10.1016/j.mattod.2021.08.002
91
LiZGuoTZhaoSLinM. The therapeutic effects of muc1-c shrna@fe3o4 magnetic nanoparticles in alternating magnetic fields on triple-negative breast cancer. Int J Nanomed. (2023) 18:5651–70. doi: 10.2147/IJN.S426849
92
NascimentoCSCarvalhoJGTavaresNCLageACPPascoal-XavierMAMeloCPDet al. Polyaniline-coated iron oxide nanoparticles reprogram macrophages and modulate the tumor microenvironment to inhibit breast cancer progression and metastasis. Cancer Nanotechnol. (2025) 16:22. doi: 10.1186/s12645-025-00323-4
93
ZhangJZhouKLinJYaoXJuDZengXet al. Ferroptosis-enhanced chemotherapy for triple-negative breast cancer with magnetic composite nanoparticles. Biomaterials. (2023) 303:122395. doi: 10.1016/j.biomaterials.2023.122395
94
LuYGuFMaYLiRLuoYDaXet al. Simultaneous delivery of doxorubicin and ezh2-targeting sirna by vortex magnetic nanorods synergistically improved anti-tumor efficacy in triple-negative breast cancer. Small. (2023) 19:2301307. doi: 10.1002/smll.202301307
95
ChenYZhuHLuoYTongSLiuY. EZH2: the roles in targeted therapy and mechanisms of resistance in breast cancer. BioMed Pharmacother. (2024) 175:116624. doi: 10.1016/j.biopha.2024.116624
96
XieWGaoQGuoZWangDGaoFWangXet al. Injectable and self-healing thermosensitive magnetic hydrogel for asynchronous control release of doxorubicin and docetaxel to treat triple-negative breast cancer. ACS Appl Mater Interfaces. (2017) 9:33661–73. doi: 10.1021/acsami.7b10699
97
RuenraroengsakPKiryushkoDTheodorouIGKlosowskiMMTaylorERNiriellaTet al. Frizzled-7-targeted delivery of zinc oxide nanoparticles to drug-resistant breast cancer cells. Nanoscale. (2019) 11:12858–70. doi: 10.1039/C9NR01277J
98
ZhangXShiCLiuQZhongYZhuLZhaoY. Combination of adenosine blockade and ferroptosis for photo-immunotherapy of triple negative breast cancer with aptamer-modified copper sulfide. J Mater Chem B. (2025) 13:2504–19. doi: 10.1039/D4TB02125H
99
JayaramuluKGeyerFSchneemannAKmentŠOtyepkaMZborilRet al. Hydrophobic metal–organic frameworks. Adv Mater. (2019) 31:1900820. doi: 10.1002/adma.201900820
100
SomanSKulkarniSJohnJVineethPAhmadSFGeorgeSDet al. Transferrin-conjugated uio-66 metal organic frameworks loaded with doxorubicin and indocyanine green: a multimodal nanoplatform for chemo-photothermal-photodynamic approach in cancer management. Int J Pharm. (2024) 665:124665. doi: 10.1016/j.ijpharm.2024.124665
101
BatoolMKhurshidSDaoushWMSiddiqueSANadeemT. Green synthesis and biomedical applications of zno nanoparticles: role of pegylated-zno nanoparticles as doxorubicin drug carrier against mda-mb-231(tnbc) cells line. Crystals. (2021) 11:344. doi: 10.3390/cryst11040344
102
AhirMBhattacharyaSKarmakarSMukhopadhyayAMukherjeeSGhoshSet al. Tailored-cuo-nanowire decorated with folic acid mediated coupling of the mitochondrial-ros generation and mir425-pten axis in furnishing potent anti-cancer activity in human triple negative breast carcinoma cells. Biomaterials. (2016) 76:115–32. doi: 10.1016/j.biomaterials.2015.10.044
103
YangGLinWLaiHTongJLeiJYuanMet al. Understanding the relationship between particle size and ultrasonic treatment during the synthesis of metal nanoparticles. Ultrason Sonochem. (2021) 73:105497. doi: 10.1016/j.ultsonch.2021.105497
104
RamchandaniDBerisaMTavarezDALiZMieleMBaiYet al. Copper depletion modulates mitochondrial oxidative phosphorylation to impair triple negative breast cancer metastasis. Nat Commun. (2021) 12:7311. doi: 10.1038/s41467-021-27559-z
105
AmiriMEskandariKSalavati-NiasariM. Magnetically retrievable ferrite nanoparticles in the catalysis application. Adv Colloid Interface Sci. (2019) 271:101982. doi: 10.1016/j.cis.2019.07.003
106
WanJSunXYangGLiuCWangZLiXet al. Seed‐engineered growth of sub‐100 nm chiral au nanoparticles with enhanced optical chirality and catalytic activities. Small. (2025) 21:e08801. doi: 10.1002/smll.202508801
107
HadaA-MPotaraMAstileanSCordaroANeriGMalangaMet al. Linezolid nanoantiobiotics and sers-nanotags based on polymeric cyclodextrin bimetallic core-shell nanoarchitectures. Carbohydr Polym. (2022) 293:119736. doi: 10.1016/j.carbpol.2022.119736
108
ZhaoJZhouZLiGStangPJYanX. Light-emitting self-assembled metallacages. Natl Sci Rev. (2021) 8:nwab045. doi: 10.1093/nsr/nwab045
109
DykmanLKhlebtsovBKhlebtsovN. Drug delivery using gold nanoparticles. Adv Drug Delivery Rev. (2025) 216:115481. doi: 10.1016/j.addr.2024.115481
110
KimMKubelickKPVanderlaanDQinDLeeJJhunjhunwalaAet al. Coupling gold nanospheres into nanochain constructs for high-contrast, longitudinal photoacoustic imaging. Nano Lett. (2024) 24:7202–10. doi: 10.1021/acs.nanolett.4c00992
111
PucelikBSułekABorkowskiMBarzowskaAKobieluszMDąbrowskiJM. Synthesis and characterization of size- and charge-tunable silver nanoparticles for selective anticancer and antibacterial treatment. ACS Appl Mater Interfaces. (2022) 14:14981–96. doi: 10.1021/acsami.2c01100
112
AliSBahadurAHassanAAhmadSShahWIqbalS. Optimized silver nanostructures for enhanced antibacterial potential: recent trends and challenges in the development of metallo-antimicrobials. Chem Eng J. (2025) 507:160470. doi: 10.1016/j.cej.2025.160470
113
LeeBLeeYLeeNKimDHyeonT. Design of oxide nanoparticles for biomedical applications. Nat Rev Mater. (2025) 10:252–67. doi: 10.1038/s41578-024-00767-x
114
LiYBarminRAZhangRKiesslingFLammersTPallaresRM. Clinical translation and landscape of superparamagnetic iron oxide nanoparticles. Adv Drug Delivery Rev. (2026) 229:115756. doi: 10.1016/j.addr.2025.115756
115
SunYZhengLYangYQianXFuTLiXet al. Metal–organic framework nanocarriers for drug delivery in biomedical applications. Nano Micro Lett. (2020) 12:103. doi: 10.1007/s40820-020-00423-3
116
YangBChenYShiJ. Mesoporous silica/organosilica nanoparticles: synthesis, biological effect and biomedical application. Mater Sci Eng R Rep. (2019) 137:66–105. doi: 10.1016/j.mser.2019.01.001
117
ZhouSZhongQWangYHuPZhongWHuangC-Bet al. Chemically engineered mesoporous silica nanoparticles-based intelligent delivery systems for theranostic applications in multiple cancerous/non-cancerous diseases. Coord Chem Rev. (2022) 452:214309. doi: 10.1016/j.ccr.2021.214309
118
SunLLiuHYeYLeiYIslamRTanSet al. Smart nanoparticles for cancer therapy. Signal Transduction Targeted Ther. (2023) 8:418. doi: 10.1038/s41392-023-01642-x
119
BianchiniGDe AngelisCLicataLGianniL. Treatment landscape of triple-negative breast cancer — expanded options, evolving needs. Nat Rev Clin Oncol. (2022) 19:91–113. doi: 10.1038/s41571-021-00565-2
120
ŽivojevićKMladenovićMDjisalovMMundzicMRuiz-HernandezEGadjanskiIet al. Advanced mesoporous silica nanocarriers in cancer theranostics and gene editing applications. J Controlled Release. (2021) 337:193–211. doi: 10.1016/j.jconrel.2021.07.029
121
BenderskiKLammersTSofiasAM. Analysis of multi-drug cancer nanomedicine. Nat Nanotechnol. (2025) 20:1163–72. doi: 10.1038/s41565-025-01932-1
122
KhalifehzadehRAramiH. Biodegradable calcium phosphate nanoparticles for cancer therapy. Adv Colloid Interface Sci. (2020) 279:102157. doi: 10.1016/j.cis.2020.102157
123
ChenXLiHMaYJiangY. Calcium phosphate-based nanomaterials: preparation, multifunction, and application for bone tissue engineering. Molecules. (2023) 28:4790. doi: 10.3390/molecules28124790
124
WangYYeFLiangYYangQ. Breast cancer brain metastasis: insight into molecular mechanisms and therapeutic strategies. Br J Cancer. (2021) 125:1056–67. doi: 10.1038/s41416-021-01424-8
125
WuYSunBTangYShenALinYZhaoXet al. Bone targeted nano-drug and nano-delivery. Bone Res. (2024) 12:51. doi: 10.1038/s41413-024-00356-2
126
LiuBYangQChengYLiuMJiQZhangBet al. Calcium phosphate hybrid micelles inhibit orthotopic bone metastasis from triple negative breast cancer by simultaneously killing cancer cells and reprogramming the microenvironment of bone resorption and immunosuppression. Acta Biomater. (2023) 166:641–54. doi: 10.1016/j.actbio.2023.05.038
127
MorenoYPCardosoMBFerrãoMFMoncadaEADos SantosJHZ. Effect of sicl4 on the preparation of functionalized mixed-structure silica from monodisperse sol–gel silica nanoparticles. Chem Eng J. (2016) 292:233–45. doi: 10.1016/j.cej.2016.02.027
128
NarayanRNayakUYRaichurAMGargS. Mesoporous silica nanoparticles: a comprehensive review on synthesis and recent advances. Pharmaceutics. (2018) 10:118. doi: 10.3390/pharmaceutics10030118
129
ChenAKomuraMKamataKIyodaT. Highly ordered arrays of mesoporous silica nanorods with tunable aspect ratios from block copolymer thin films. Adv Mater. (2008) 20:763–7. doi: 10.1002/adma.200702010
130
WuYChengMJiangYZhangXLiJZhuYet al. Calcium-based biomaterials: unveiling features and expanding applications in osteosarcoma treatment. Bioact Mater. (2024) 32:385–99. doi: 10.1016/j.bioactmat.2023.10.008
131
QiCMusettiSFuL-HZhuY-JHuangL. Biomolecule-assisted green synthesis of nanostructured calcium phosphates and their biomedical applications. Chem Soc Rev. (2019) 48:2698–737. doi: 10.1039/C8CS00489G
132
VermaGBarickKCShetakeNGPandeyBNHassanPA. Citrate-functionalized hydroxyapatite nanoparticles for ph-responsive drug delivery. RSC Adv. (2016) 6:77968–76. doi: 10.1039/C6RA10659E
133
AslaniAPourmadadiMAbdoussMRahdarADíez-PascualAM. Hydroxyapatite modified poly(acrylic acid)/polyethylene glycol sustainable drug delivery nanocomposite prepared via double emulsion with bitter almond oil. Sustain Chem Pharm. (2024) 38:101497. doi: 10.1016/j.scp.2024.101497
134
LiuJCuiLLosicD. Graphene and graphene oxide as new nanocarriers for drug delivery applications. Acta Biomater. (2013) 9:9243–57. doi: 10.1016/j.actbio.2013.08.016
135
ChenWLiSShenYCaiYJinJYangZ. Polyethylenimine modified graphene oxide for effective chemo-gene-photothermal triples therapy of triple-negative breast cancer and inhibits metastasis. J Drug Delivery Sci Technol. (2022) 74:103521. doi: 10.1016/j.jddst.2022.103521
136
ItooAMPaulMGhoshBBiswasS. Polymeric graphene oxide nanoparticles loaded with doxorubicin for combined photothermal and chemotherapy in triple negative breast cancer. Biomater Adv. (2023) 153:213550. doi: 10.1016/j.bioadv.2023.213550
137
HammondPT. Virtual issue on nanomaterials for drug delivery. ACS Nano. (2011) 5:681–4. doi: 10.1021/nn2003508
138
SinghaiNJMaheshwariRRamtekeS. CD44 receptor targeted ‘smart’ multi-walled carbon nanotubes for synergistic therapy of triple-negative breast cancer. Colloid Interface Sci Commun. (2020) 35:100235. doi: 10.1016/j.colcom.2020.100235
139
AziziMSheiniASeyed DorrajiMSAlidadiHFekriE. Carbon quantum dot based nanocarrier labeled with anti-pdl1 antibody as a promising theranostic candidate for the triple negative breast cancer treatment. Mater Chem Phys. (2024) 315:128981. doi: 10.1016/j.matchemphys.2024.128981
140
ChandrasekaranKLeeCEYunSJangidAKKimSKimK. CD44 receptor-mediated ferroptosis induction by hyaluronic acid carbon quantum dots in triple-negative breast cancer cells through downregulation of slc7a11 pathway. Materials. (2025) 18:2139. doi: 10.3390/ma18092139
141
DarMSRosaiahPBhagyalakshmiJAhirwarSKhanATamizhselviRet al. Graphene quantum dots as nanotherapeutic agents for triple-negative breast cancer: insights from 3d tumor models. Coord Chem Rev. (2025) 523:216247. doi: 10.1016/j.ccr.2024.216247
142
QuesadaSJBorrásFGarcía-VélezMCoyaCClimentEMunueraCet al. New concepts for production of scalable single layer oxidized regions by local anodic oxidation of graphene. Small. (2019) 15:1902817. doi: 10.1002/smll.201902817
143
SharmaADasJ. Small molecules derived carbon dots: synthesis and applications in sensing, catalysis, imaging, and biomedicine. J Nanobiotechnol. (2019) 17:92. doi: 10.1186/s12951-019-0525-8
144
SarkarPGhoshSSarkarK. Folic acid based carbon dot functionalized stearic acid-g-polyethyleneimine amphiphilic nanomicelle: targeted drug delivery and imaging for triple negative breast cancer. Colloids Surf B. (2021) 197:111382. doi: 10.1016/j.colsurfb.2020.111382
145
JiangQLiuLLiQCaoYChenDDuQet al. NIR-laser-triggered gadolinium-doped carbon dots for magnetic resonance imaging, drug delivery and combined photothermal chemotherapy for triple negative breast cancer. J Nanobiotechnol. (2021) 19:64. doi: 10.1186/s12951-021-00811-w
146
TaoWZhuXYuXZengXXiaoQZhangXet al. Black phosphorus nanosheets as a robust delivery platform for cancer theranostics. Adv Mater. (2017) 29:1603276. doi: 10.1002/adma.201603276
147
Vallet-RegíMSchüthFLozanoDColillaMManzanoM. Engineering mesoporous silica nanoparticles for drug delivery: where are we after two decades? Chem Soc Rev. (2022) 51:5365–451. doi: 10.1039/D1CS00659B
148
XuBLiSShiRLiuH. Multifunctional mesoporous silica nanoparticles for biomedical applications. Signal Transduction Targeted Ther. (2023) 8:435. doi: 10.1038/s41392-023-01654-7
149
QiuCWuYGuoQShiQZhangJMengYet al. Preparation and application of calcium phosphate nanocarriers in drug delivery. Mater Today Bio. (2022) 17:100501. doi: 10.1016/j.mtbio.2022.100501
150
ChaoY-WLeeY-LTsengC-SWangL-HHsiaK-CChenHet al. Improved cap nanoparticles for nucleic acid and protein delivery to neural primary cultures and stem cells. ACS Nano. (2024) 18:4822–39. doi: 10.1021/acsnano.3c09608
151
ShenC-LLiuH-RLouQWangFLiuK-KDongLet al. Recent progress of carbon dots in targeted bioimaging and cancer therapy. Theranostics. (2022) 12:2860–93. doi: 10.7150/thno.70721
152
SinghHRazzaghiMGhorbanpoorHEbrahimiAAvciHAkbariMet al. Carbon dots in drug delivery and therapeutic applications. Adv Drug Delivery Rev. (2025) 224:115644. doi: 10.1016/j.addr.2025.115644
153
LawSSYLiouGNagaiYGiménez-DejozJTateishiATsuchiyaKet al. Polymer-coated carbon nanotube hybrids with functional peptides for gene delivery into plant mitochondria. Nat Commun. (2022) 13:2417. doi: 10.1038/s41467-022-30185-y
154
AlgarraMVinacuaSGil-KorilisAGilA. Recent developments in the use of carbon-based nanomaterials in cancer therapy. J Controlled Release. (2025) 386:114100. doi: 10.1016/j.jconrel.2025.114100
155
BighamASerrano-RuizMCaporaliMFasolinoIPeruzziniMAmbrosioLet al. Black phosphorus-based nanoplatforms for cancer therapy: chemistry, design, biological and therapeutic behaviors. Chem Soc Rev. (2025) 54:827–97. doi: 10.1039/D4CS00007B
156
XuYChenSZhangYWuCLiLHuXet al. Antibacterial black phosphorus nanosheets for biomedical applications. J Mater Chem B. (2023) 11:7069–93. doi: 10.1039/D3TB00723E
157
RahimiSChenYZareianMPanditSMijakovicI. Cellular and subcellular interactions of graphene-based materials with cancerous and non-cancerous cells. Adv Drug Delivery Rev. (2022) 189:114467. doi: 10.1016/j.addr.2022.114467
158
ItooAMVemulaSLGuptaMTGiramMVKumarSAGhoshBet al. Multifunctional graphene oxide nanoparticles for drug delivery in cancer. J Controlled Release. (2022) 350:26–59. doi: 10.1016/j.jconrel.2022.08.011
159
HussainILamielCJavedMSAhmadMSahooSChenXet al. MXene-based heterostructures: current trend and development in electrochemical energy storage devices. Prog Energy Combust Sci. (2023) 97:101097. doi: 10.1016/j.pecs.2023.101097
160
LiuDBernuzCRFanJLiWCorreiaAHirvonenJet al. A nano-in-nano vector: merging the best of polymeric nanoparticles and drug nanocrystals. Adv Funct Mater. (2017) 27:1604508. doi: 10.1002/adfm.201604508
161
KimHIParkJZhuYWangXHanYZhangD. Recent advances in extracellular vesicles for therapeutic cargo delivery. Exp Mol Med. (2024) 56:836–49. doi: 10.1038/s12276-024-01201-6
162
BazzazanMAFathollazadehPKeshavarz ShahbazSRezaeiN. Polymeric nanoparticles as a promising platform for treating triple-negative breast cancer: current status and future perspectives. Int J Pharm. (2024) 664:124639. doi: 10.1016/j.ijpharm.2024.124639
163
FessiHPuisieuxFDevissaguetJAmmouryNBenitaS. Nanocapsule formation by interfacial polymer deposition following solvent displacement. Int J Pharm. (1989) 55:R1–4. doi: 10.1016/0378-5173(89)90281-0
164
RaoJPGeckelerKE. Polymer nanoparticles: preparation techniques and size-control parameters. Prog Polym Sci. (2011) 36:887–913. doi: 10.1016/j.progpolymsci.2011.01.001
165
KuddushiMKanikeCXuBBZhangX. Recent advances in nanoprecipitation: from mechanistic insights to applications in nanomaterial synthesis. Soft Matter. (2025) 21:2759–81. doi: 10.1039/D5SM00006H
166
KamalyNFredmanGFojasJJRSubramanianMChoiWIZepedaKet al. Targeted interleukin-10 nanotherapeutics developed with a microfluidic chip enhance resolution of inflammation in advanced atherosclerosis. ACS Nano. (2016) 10:5280–92. doi: 10.1021/acsnano.6b01114
167
SongCPhuengkhamHKimYSDinhVVLeeIShinIWet al. Syringeable immunotherapeutic nanogel reshapes tumor microenvironment and prevents tumor metastasis and recurrence. Nat Commun. (2019) 10:3745. doi: 10.1038/s41467-019-11730-8
168
NiQWuJGalanakouCZhangC-CTomaliaDAPengL. Dendrimer engineering to overcome delivery challenges of nucleic acids. Nat Rev Bioeng. (2025) 3:806–7. doi: 10.1038/s44222-025-00347-w
169
YaghmurAØstergaardJMuH. Lipid nanoparticles for targeted delivery of anticancer therapeutics: recent advances in development of sirna and lipoprotein-mimicking nanocarriers. Adv Drug Delivery Rev. (2023) 203:115136. doi: 10.1016/j.addr.2023.115136
170
NelJElkhouryKVelotÉBianchiAAcherarSFranciusGet al. Functionalized liposomes for targeted breast cancer drug delivery. Bioact Mater. (2023) 24:401–37. doi: 10.1016/j.bioactmat.2022.12.027
171
LiYWuJQiuXDongSHeJLiuJet al. Bacterial outer membrane vesicles-based therapeutic platform eradicates triple-negative breast tumor by combinational photodynamic/chemo-/immunotherapy. Bioact Mater. (2023) 20:548–60. doi: 10.1016/j.bioactmat.2022.05.037
172
KumarMABabaSKSadidaHQMarzooqiSJerobinJAltemaniFHet al. Extracellular vesicles as tools and targets in therapy for diseases. Signal Transduction Targeted Ther. (2024) 9:27. doi: 10.1038/s41392-024-01735-1
173
ChoiWParkDJEliceiriBP. Defining tropism and activity of natural and engineered extracellular vesicles. Front Immunol. (2024) 15:1363185. doi: 10.3389/fimmu.2024.1363185
174
ChenCShenMWanXShengLHeYXuMet al. Activated t cell-derived exosomes for targeted delivery of axl-sirna loaded paclitaxel-poly-l-lysine prodrug to overcome drug resistance in triple-negative breast cancer. Chem Eng J. (2023) 468:143454. doi: 10.1016/j.cej.2023.143454
175
Kimiz-GebologluIOncelSS. Exosomes: large-scale production, isolation, drug loading efficiency, and biodistribution and uptake. J Controlled Release. (2022) 347:533–43. doi: 10.1016/j.jconrel.2022.05.027
176
FangRHGaoWZhangL. Targeting drugs to tumours using cell membrane-coated nanoparticles. Nat Rev Clin Oncol. (2023) 20:33–48. doi: 10.1038/s41571-022-00699-x
177
LiuLPanDChenSMartikainenM-VKårlundAKeJet al. Systematic design of cell membrane coating to improve tumor targeting of nanoparticles. Nat Commun. (2022) 13:6181. doi: 10.1038/s41467-022-33889-3
178
BeachMANayanatharaUGaoYZhangCXiongYWangYet al. Polymeric nanoparticles for drug delivery. Chem Rev. (2024) 124:5505–616. doi: 10.1021/acs.chemrev.3c00705
179
FloydTGGurnaniPRhoJY. Characterisation of polymeric nanoparticles for drug delivery. Nanoscale. (2025) 17:7738–52. doi: 10.1039/D5NR00071H
180
ZhengYOzYGuYAhamadNShariatiKChevalierJet al. Rational design of polymeric micelles for targeted therapeutic delivery. Nano Today. (2024) 55:102147. doi: 10.1016/j.nantod.2024.102147
181
KaurJMishraVSinghSKGulatiMKapoorBChellappanDKet al. Harnessing amphiphilic polymeric micelles for diagnostic and therapeutic applications: breakthroughs and bottlenecks. J Controlled Release. (2021) 334:64–95. doi: 10.1016/j.jconrel.2021.04.014
182
MaXLiS-JLiuYZhangTXuePKangYet al. Bioengineered nanogels for cancer immunotherapy. Chem Soc Rev. (2022) 51:5136–74. doi: 10.1039/D2CS00247G
183
BlagojevicLKamalyN. Nanogels: a chemically versatile drug delivery platform. Nano Today. (2025) 61:102645. doi: 10.1016/j.nantod.2025.102645
184
LargeDEAbdelmessihRGFinkEAAugusteDT. Liposome composition in drug delivery design, synthesis, characterization, and clinical application. Adv Drug Delivery Rev. (2021) 176:113851. doi: 10.1016/j.addr.2021.113851
185
MukherjeeABishtBDuttaSPaulMK. Current advances in the use of exosomes, liposomes, and bioengineered hybrid nanovesicles in cancer detection and therapy. Acta Pharmacol Sin. (2022) 43:2759–76. doi: 10.1038/s41401-022-00902-w
186
TenchovRBirdRCurtzeAEZhouQ. Lipid nanoparticles─from liposomes to mrna vaccine delivery, a landscape of research diversity and advancement. ACS Nano. (2021) 15:16982–7015. doi: 10.1021/acsnano.1c04996
187
CullisPRFelgnerPL. The 60-year evolution of lipid nanoparticles for nucleic acid delivery. Nat Rev Drug Discov. (2024) 23:709–22. doi: 10.1038/s41573-024-00977-6
188
HerrmannIKWoodMJAFuhrmannG. Extracellular vesicles as a next-generation drug delivery platform. Nat Nanotechnol. (2021) 16:748–59. doi: 10.1038/s41565-021-00931-2
189
ChengLHillAF. Therapeutically harnessing extracellular vesicles. Nat Rev Drug Discov. (2022) 21:379–99. doi: 10.1038/s41573-022-00410-w
190
GajbhiyeKRSalveRNarwadeMSheikhAKesharwaniPGajbhiyeV. Lipid polymer hybrid nanoparticles: a custom-tailored next-generation approach for cancer therapeutics. Mol Cancer. (2023) 22:160. doi: 10.1186/s12943-023-01849-0
191
TianWSuYTianYWangSSuXLiuYet al. Periodic mesoporous organosilica coated pRussian blue for mr/pa dual-modal imaging-guided photothermal-chemotherapy of triple negative breast cancer. Adv Sci. (2017) 4:1600356. doi: 10.1002/advs.201600356
192
ChenQZhangLLiLTanMLiuWLiuSet al. Cancer cell membrane-coated nanoparticles for bimodal imaging-guided photothermal therapy and docetaxel-enhanced immunotherapy against cancer. J Nanobiotechnol. (2021) 19:449. doi: 10.1186/s12951-021-01202-x
193
PradhanRDeyATaliyanRPuriAKharavtekarSDubeySK. Recent advances in targeted nanocarriers for the management of triple negative breast cancer. Pharmaceutics. (2023) 15:246. doi: 10.3390/pharmaceutics15010246
194
PandolfiLBelliniMVannaRMorassoCZagoACarcanoSet al. H-ferritin enriches the curcumin uptake and improves the therapeutic efficacy in triple negative breast cancer cells. Biomacromolecules. (2017) 18:3318–30. doi: 10.1021/acs.biomac.7b00974
195
KalyaneDPolakaSVasdevNTekadeRK. CD44-receptor targeted gold-doxorubicin nanocomposite for pulsatile chemo-photothermal therapy of triple-negative breast cancer cells. Pharmaceutics. (2022) 14:2734. doi: 10.3390/pharmaceutics14122734
196
EmamiFPathakSNguyenTTShresthaPMaharjanSKimJOet al. Photoimmunotherapy with cetuximab-conjugated gold nanorods reduces drug resistance in triple negative breast cancer spheroids with enhanced infiltration of tumor-associated macrophages. J Controlled Release. (2021) 329:645–64. doi: 10.1016/j.jconrel.2020.10.001
197
WuHJinMLiuYWangSLiuCQuanXet al. A self-targeting mofs nanoplatform for treating metastatic triple-negative breast cancer through tumor microenvironment remodeling and chemotherapy potentiation. Int J Pharm. (2024) 664:124625. doi: 10.1016/j.ijpharm.2024.124625
198
LiangXMuMChenBFanRChenHZouBet al. Metal-organic framework-based photodynamic combined immunotherapy against the distant development of triple-negative breast cancer. Biomater Res. (2023) 27:120. doi: 10.1186/s40824-023-00447-x
199
AhirMUpadhyayPGhoshASarkerSBhattacharyaSGuptaPet al. Delivery of dual mirna through cd44-targeted mesoporous silica nanoparticles for enhanced and effective triple-negative breast cancer therapy. Biomater Sci. (2020) 8:2939–54. doi: 10.1039/D0BM00015A
200
ZhouZKennellCLeeJ-YLeungY-KTaraporeP. Calcium phosphate-polymer hybrid nanoparticles for enhanced triple negative breast cancer treatment via co-delivery of paclitaxel and mir-221/222 inhibitors. Nanomed Nanotechnol Biol Med. (2017) 13:403–10. doi: 10.1016/j.nano.2016.07.016
201
ZhangYHanXWangKLiuDDingXHuZet al. Co-delivery nanomicelles for potentiating tnbc immunotherapy by synergetically reshaping cafs-mediated tumor stroma and reprogramming immunosuppressive microenvironment. Int J Nanomed. (2023) 18:4329–46. doi: 10.2147/IJN.S418100
202
FatimaMSheikhAAbourehabMASKesharwaniP. Advancements in polymeric nanocarriers to mediate targeted therapy against triple-negative breast cancer. Pharmaceutics. (2022) 14:2432. doi: 10.3390/pharmaceutics14112432
203
GuoPYangJLiuDHuangLFellGHuangJet al. Dual complementary liposomes inhibit triple-negative breast tumor progression and metastasis. Sci Adv. (2019) 5:eaav5010. doi: 10.1126/sciadv.aav5010
204
ChaudhuriAKumarDNSrivastavaSKKumarDPatilUKParmarASet al. Combinatorial delivery of docetaxel- and erlotinib-loaded functionalized nanostructured lipid carriers for the treatment of triple-negative breast cancer using quality-by-design approach. Pharmaceutics. (2024) 16:926. doi: 10.3390/pharmaceutics16070926
205
LiSWuYDingFYangJLiJGaoXet al. Engineering macrophage-derived exosomes for targeted chemotherapy of triple-negative breast cancer. Nanoscale. (2020) 12:10854–62. doi: 10.1039/D0NR00523A
206
ZhongZDengWWuJShangHTongYHeYet al. Cell membrane coated nanoparticles as a biomimetic drug delivery platform for enhancing cancer immunotherapy. Nanoscale. (2024) 16:8708–38. doi: 10.1039/D4NR00284A
207
BaiLLiuHYouRJiangXZhangTLiYet al. Combination nano-delivery systems remodel the immunosuppressive tumor microenvironment for metastatic triple-negative breast cancer therapy. Mol Pharm. (2024) 21:2148–62. doi: 10.1021/acs.molpharmaceut.3c00242
208
ZhuHYangKYaoHChenXYanSHeYet al. Multifunctional nanoplatform-mediated chemo-photothermal therapy combines immunogenic cell death with checkpoint blockade to combat triple-negative breast cancer and distant metastasis. Int J Nanomed. (2023) 18:3109–24. doi: 10.2147/IJN.S408855
209
HarrisMASavasPVirassamyBO’MalleyMMRKayJMuellerSNet al. Towards targeting the breast cancer immune microenvironment. Nat Rev Cancer. (2024) 24:554–77. doi: 10.1038/s41568-024-00714-6
210
GuoZZhuZLinXWangSWenYWangLet al. Tumor microenvironment and immunotherapy for triple-negative breast cancer. biomark Res. (2024) 12:166. doi: 10.1186/s40364-024-00714-6
211
PanagiMMpekrisFChenPVoutouriCNakagawaYMartinJDet al. Polymeric micelles effectively reprogram the tumor microenvironment to potentiate nano-immunotherapy in mouse breast cancer models. Nat Commun. (2022) 13:7165. doi: 10.1038/s41467-022-34744-1
212
HammerlDMartensJWMTimmermansMSmidMTrapman-JansenAMFoekensRet al. Spatial immunophenotypes predict response to anti-pd1 treatment and capture distinct paths of t cell evasion in triple negative breast cancer. Nat Commun. (2021) 12:5668. doi: 10.1038/s41467-021-25962-0
213
ShiaoSLGouinKHIngNHoABashoRShahAet al. Single-cell and spatial profiling identify three response trajectories to pembrolizumab and radiation therapy in triple negative breast cancer. Cancer Cell. (2024) 42:71–84.e8. doi: 10.1016/j.ccell.2023.12.012
214
KerenLBosseMMarquezDAngoshtariRJainSVarmaSet al. A structured tumor-immune microenvironment in triple negative breast cancer revealed by multiplexed ion beam imaging. Cell. (2018) 174:1373–1387.e19. doi: 10.1016/j.cell.2018.08.039
215
GuXGaoYWangPWangLPengHHeYet al. Nano-delivery systems focused on tumor microenvironment regulation and biomimetic strategies for treatment of breast cancer metastasis. J Controlled Release. (2021) 333:374–90. doi: 10.1016/j.jconrel.2021.03.039
216
WangBSunTZhaoYWangSZhangJWangZet al. A randomized phase 3 trial of gemcitabine or nab-paclitaxel combined with cisplatin as first-line treatment in patients with metastatic triple-negative breast cancer. Nat Commun. (2022) 13:4025. doi: 10.1038/s41467-022-31704-7
217
GradisharWJTjulandinSDavidsonNShawHDesaiNBharPet al. Phase iii trial of nanoparticle albumin-bound paclitaxel compared with polyethylated castor oil–based paclitaxel in women with breast cancer. J Clin Oncol. (2005) 23:7794–803. doi: 10.1200/JCO.2005.04.937
218
WuDSiMXueH-YWongHL. Nanomedicine applications in the treatment of breast cancer: current state of the art. IJN. (2017) 12:5879–92. doi: 10.2147/IJN.S123437
219
KhallafSMRoshdyJIbrahimA. Pegylated liposomal doxorubicin in patients with metastatic triple-negative breast cancer: 8-year experience of a single center. J Egypt Natl Cancer Inst. (2020) 32:20. doi: 10.1186/s43046-020-00034-4
220
Miller-KleinhenzJMBozemanENYangL. Targeted nanoparticles for image-guided treatment of triple-negative breast cancer: clinical significance and technological advances. WIREs Nanomed Nanobiotechnol. (2015) 7:797–816. doi: 10.1002/wnan.1343
221
AwadaABondarenkoINBonneterreJNowaraEFerreroJMBakshiAVet al. A randomized controlled phase ii trial of a novel composition of paclitaxel embedded into neutral and cationic lipids targeting tumor endothelial cells in advanced triple-negative breast cancer (tnbc). Ann Oncol. (2014) 25:824–31. doi: 10.1093/annonc/mdu025
222
LiQLiuJZhangQOuyangQZhangYLiuQet al. The anti-pd-l1/ctla-4 bispecific antibody kn046 in combination with nab-paclitaxel in first-line treatment of metastatic triple-negative breast cancer: a multicenter phase ii trial. Nat Commun. (2024) 15:1015. doi: 10.1038/s41467-024-45160-y
223
EmensLAAdamsSBarriosCHDiérasVIwataHLoiSet al. First-line atezolizumab plus nab-paclitaxel for unresectable, locally advanced, or metastatic triple-negative breast cancer: impassion130 final overall survival analysis. Ann Oncol. (2021) 32:983–93. doi: 10.1016/j.annonc.2021.05.355
224
SunBHyunHLiLWangAZ. Harnessing nanomedicine to overcome the immunosuppressive tumor microenvironment. Acta Pharmacol Sin. (2020) 41:971–85. doi: 10.1038/s41401-020-0424-4
225
ChenXXuZLiTThakurAWenYZhangKet al. Nanomaterial-encapsulated sting agonists for immune modulation in cancer therapy. biomark Res. (2024) 12:2. doi: 10.1186/s40364-023-00551-z
226
MoonYShimMKChoiJYangSKimJYunWSet al. Anti-pd-l1 peptide-conjugated prodrug nanoparticles for targeted cancer immunotherapy combining pd-l1 blockade with immunogenic cell death. Theranostics. (2022) 12:1999–2014. doi: 10.7150/thno.69119
227
DuanXChanCLinW. Nanoparticle-mediated immunogenic cell death enables and potentiates cancer immunotherapy. Angew Chem Int Ed. (2019) 58:671–80. doi: 10.1002/anie.201804882
228
ZhuYYuXThamphiwatanaSDZhengYPangZ. Nanomedicines modulating tumor immunosuppressive cells to enhance cancer immunotherapy. Acta Pharm Sin B. (2020) 10:2054–74. doi: 10.1016/j.apsb.2020.08.010
229
WilsonDRSenRSunshineJCPardollDMGreenJJKimYJ. Biodegradable sting agonist nanoparticles for enhanced cancer immunotherapy. Nanomed Nanotechnol Biol Med. (2018) 14:237–46. doi: 10.1016/j.nano.2017.10.013
230
XiaCYinSToKKWFuL. CD39/cd73/a2ar pathway and cancer immunotherapy. Mol Cancer. (2023) 22:44. doi: 10.1186/s12943-023-01733-x
231
O’ConnellBCHubbardCZizlspergerNFitzgeraldDKutokJLVarnerJet al. Eganelisib combined with immune checkpoint inhibitor therapy and chemotherapy in frontline metastatic triple-negative breast cancer triggers macrophage reprogramming, immune activation and extracellular matrix reorganization in the tumor microenvironment. J Immunother Cancer. (2024) 12:e009160. doi: 10.1136/jitc-2024-009160
232
ZhaoMLiJChenFHanYChenDHuH. Engineering nanoparticles boost tnbc therapy by cd24 blockade and mitochondrial dynamics regulation. J Controlled Release. (2023) 355:211–27. doi: 10.1016/j.jconrel.2023.01.075
233
ZhangJ-YChenF-MLiuRLuoJ-QHuangY-CShuNet al. Nanoparticle-enabled concurrent modulation of phagocytosis and repolarization of macrophages for enhanced cancer immunotherapy. Nano Today. (2022) 47:101651. doi: 10.1016/j.nantod.2022.101651
234
GuoSGuanTKeYLinYTaiRYeJet al. Biologically logic-gated trojan-horse strategy for personalized triple-negative breast cancer precise therapy by selective ferroptosis and sting pathway provoking. Biomaterials. (2025) 315:122905. doi: 10.1016/j.biomaterials.2024.122905
235
YePWangCWenYFangKLiQZhangXet al. A positive-feedback loop suppresses tnbc tumour growth by remodeling tumour immune microenvironment and inducing ferroptosis. Biomaterials. (2025) 315:122960. doi: 10.1016/j.biomaterials.2024.122960
236
LiWTanikawaTKryczekIXiaHLiGWuKet al. Aerobic glycolysis controls myeloid-derived suppressor cells and tumor immunity via a specific cebpb isoform in triple-negative breast cancer. Cell Metab. (2018) 28:87–103.e6. doi: 10.1016/j.cmet.2018.04.022
237
BuisseretLPommeySAllardBGaraudSBergeronMCousineauIet al. Clinical significance of cd73 in triple-negative breast cancer: multiplex analysis of a phase iii clinical trial. Ann Oncol. (2018) 29:1056–62. doi: 10.1093/annonc/mdx730
238
LoiSPommeySHaibe-KainsBBeavisPADarcyPKSmythMJet al. CD73 promotes anthracycline resistance and poor prognosis in triple negative breast cancer. Proc Natl Acad Sci. (2013) 110:11091–6. doi: 10.1073/pnas.1222251110
239
SheWLiHWangZLiuTZhaoDGuoZet al. Site-specific controlled-release nanoparticles for immune reprogramming via dual metabolic inhibition against triple-negative breast cancer. J Controlled Release. (2024) 366:204–20. doi: 10.1016/j.jconrel.2023.12.022
240
BrandASingerKKoehlGEKolitzusMSchoenhammerGThielAet al. LDHA-associated lactic acid production blunts tumor immunosurveillance by t and nk cells. Cell Metab. (2016) 24:657–71. doi: 10.1016/j.cmet.2016.08.011
241
JiangKLiuHChenXWangZWangXGuXet al. Reprogramming of glucose metabolism by nanocarriers to improve cancer immunotherapy: recent advances and applications. IJN. (2025) 20:4201–34. doi: 10.2147/IJN.S513207
242
ShenNKormSKarantanosTLiDZhangXRitouEet al. DLST-dependence dictates metabolic heterogeneity in tca-cycle usage among triple-negative breast cancer. Commun Biol. (2021) 4:1289. doi: 10.1038/s42003-021-02805-8
243
ZhangWZhaiYCaiYGongXJiangYRongRet al. Enhancing immunotherapy efficacy against mhc-i deficient triple-negative breast cancer using lcl161-loaded macrophage membrane-decorated nanoparticles. Acta Pharm Sin B. (2024) 14:3218–31. doi: 10.1016/j.apsb.2024.04.009
244
KimJChoHLimD-KJooMKKimK. Perspectives for improving the tumor targeting of nanomedicine via the epr effect in clinical tumors. Int J Mol Sci. (2023) 24:10082. doi: 10.3390/ijms241210082
245
De SouzaRSpenceTHuangHAllenC. Preclinical imaging and translational animal models of cancer for accelerated clinical implementation of nanotechnologies and macromolecular agents. J Controlled Release. (2015) 219:313–30. doi: 10.1016/j.jconrel.2015.09.041
246
ZiYYangKHeJWuZLiuJZhangW. Strategies to enhance drug delivery to solid tumors by harnessing the epr effects and alternative targeting mechanisms. Adv Drug Delivery Rev. (2022) 188:114449. doi: 10.1016/j.addr.2022.114449
247
TongFWangYGaoH. Progress and challenges in the translation of cancer nanomedicines. Curr Opin Biotechnol. (2024) 85:103045. doi: 10.1016/j.copbio.2023.103045
248
ĐorđevićSGonzalezMMConejos-SánchezICarreiraBPozziSAcúrcioRCet al. Current hurdles to the translation of nanomedicines from bench to the clinic. Drug Delivery Transl Res. (2022) 12:501–25. doi: 10.1007/s13346-021-01024-2
249
SouriMSoltaniMMoradi KashkooliFKiani ShahvandiMChianiMShariatiFSet al. Towards principled design of cancer nanomedicine to accelerate clinical translation. Mater Today Bio. (2022) 13:100208. doi: 10.1016/j.mtbio.2022.100208
250
LiuYZhangYLiHHuTY. Recent advances in the bench-to-bedside translation of cancer nanomedicines. Acta Pharm Sin B. (2025) 15:97–122. doi: 10.1016/j.apsb.2024.12.007
251
AnselmoACMitragotriS. Nanoparticles in the clinic: an update. Bioeng Transl Med. (2019) 4:e10143. doi: 10.1002/btm2.10143
252
JoycePAllenCJAlonsoMJAshfordMBradburyMSGermainMet al. A translational framework to deliver nanomedicines to the clinic. Nat Nanotechnol. (2024) 19:1597–611. doi: 10.1038/s41565-024-01754-7
253
BreznicaPKoliqiRDakaA. A review of the current understanding of nanoparticles protein corona composition. Med Pharm Rep. (2020) 93:342–50. doi: 10.15386/mpr-1756
254
El BairiKHaynesHRBlackleyEFinebergSShearJTurnerSet al. The tale of tils in breast cancer: a report from the international immuno-oncology biomarker working group. NPJ Breast Cancer. (2021) 7:150. doi: 10.1038/s41523-021-00346-1
255
LehmannBDColapricoASilvaTCChenJAnHBanYet al. Multi-omics analysis identifies therapeutic vulnerabilities in triple-negative breast cancer subtypes. Nat Commun. (2021) 12:6276. doi: 10.1038/s41467-021-26502-6
256
CisnerosEPMorseBASavkAMalikKPeppasNALanierOL. The role of patient-specific variables in protein corona formation and therapeutic efficacy in nanomedicine. J Nanobiotechnol. (2024) 22:714. doi: 10.1186/s12951-024-02954-y
257
SunRXiangJZhouQPiaoYTangJShaoSet al. The tumor epr effect for cancer drug delivery: current status, limitations, and alternatives. Adv Drug Delivery Rev. (2022) 191:114614. doi: 10.1016/j.addr.2022.114614
258
TariDUSantonastasoRDe LuciaDRSantarsiereMPintoF. Breast density evaluation according to bi-rads 5th edition on digital breast tomosynthesis: ai automated assessment versus human visual assessment. J Pers Med. (2023) 13:609. doi: 10.3390/jpm13040609
259
MaedaH. Vascular permeability in cancer and infection as related to macromolecular drug delivery, with emphasis on the epr effect for tumor-selective drug targeting. Proc Jpn Acad B. (2012) 88:53–71. doi: 10.2183/pjab.88.53
260
KumarMKulkarniPLiuSChemuturiNShahDK. Nanoparticle biodistribution coefficients: a quantitative approach for understanding the tissue distribution of nanoparticles. Adv Drug Delivery Rev. (2023) 194:114708. doi: 10.1016/j.addr.2023.114708
261
DamascoJARaviSPerezJDHagamanDEMelanconMP. Understanding nanoparticle toxicity to direct a safe-by-design approach in cancer nanomedicine. Nanomaterials. (2020) 10:2186. doi: 10.3390/nano10112186
262
La-BeckNMIslamMMarkiewskiMM. Nanoparticle-induced complement activation: implications for cancer nanomedicine. Front Immunol. (2021) 11:603039. doi: 10.3389/fimmu.2020.603039
263
ClogstonJDFossWHarrisDOberoiHPanJPuEet al. Current state of nanomedicine drug products: an industry perspective. J Pharm Sci. (2024) 113:3395–405. doi: 10.1016/j.xphs.2024.09.005
264
CaputoFFavreGBorchardGCalzolaiLFisicaroPFrejafonEet al. Toward an international standardisation roadmap for nanomedicine. Drug Delivery Transl Res. (2024) 14:2578–88. doi: 10.1007/s13346-024-01646-2
265
HareJILammersTAshfordMBPuriSStormGBarryST. Challenges and strategies in anti-cancer nanomedicine development: an industry perspective. Adv Drug Delivery Rev. (2017) 108:25–38. doi: 10.1016/j.addr.2016.04.025
266
HuTHuangYLiuJShenCWuFHeZ. Biomimetic cell-derived nanoparticles: emerging platforms for cancer immunotherapy. Pharmaceutics. (2023) 15:1821. doi: 10.3390/pharmaceutics15071821
267
TiwariPKChaudharyAAGuptaSChouhanMSinghHNRustagiSet al. Extracellular vesicles in triple-negative breast cancer: current updates, challenges and future prospects. Front Mol Biosci. (2025) 12:1561464. doi: 10.3389/fmolb.2025.1561464
268
TianJChinYZNgMHPangKLLawJX. Extracellular vesicles as emerging drug delivery platforms in triple-negative breast cancer: a systematic review. Int J Nanomed. (2026) 21:1–22. doi: 10.2147/IJN.S570252
269
ChouW-CCancholaAZhangFLinZ. Machine learning and artificial intelligence in nanomedicine. WIREs Nanomed Nanobiotechnol. (2025) 17:e70027. doi: 10.1002/wnan.70027
270
AhmadiMAyyoubzadehSMArdekaniSAGhaedrahmatZMasoumiNFarniaMMet al. A review on protein corona formation on nanoparticles and prediction of its composition using artificial intelligence tools. Int J Pharm. (2025) 683:126094. doi: 10.1016/j.ijpharm.2025.126094
271
AnJLuYChenYChenYZhouZChenJet al. Spatial transcriptomics in breast cancer: providing insight into tumor heterogeneity and promoting individualized therapy. Front Immunol. (2024) 15:1499301. doi: 10.3389/fimmu.2024.1499301
272
LeJDianYZhaoDGuoZLuoZChenXet al. Single-cell multi-omics in cancer immunotherapy: from tumor heterogeneity to personalized precision treatment. Mol Cancer. (2025) 24:221. doi: 10.1186/s12943-025-02426-3
273
TcyganovENSansevieroEMarvelDBeerTTangH-YHembachPet al. Peroxynitrite in the tumor microenvironment changes the profile of antigens allowing escape from cancer immunotherapy. Cancer Cell. (2022) 40:1173–1189.e6. doi: 10.1016/j.ccell.2022.09.001
Summary
Keywords
drug delivery, EPR effect, nanocarrier, triple-negative breast cancer, tumor immune microenvironment
Citation
Dong X, Cui F, Wang L, Wu M, Liu Y, Gao L, Xie J, Lin X, Sun J, Zhou X and Meng R (2026) Latest advances in nanodrug delivery systems for modulating the immune microenvironment in triple-negative breast cancer. Front. Immunol. 17:1793737. doi: 10.3389/fimmu.2026.1793737
Received
22 January 2026
Revised
11 June 2026
Accepted
15 June 2026
Published
17 July 2026
Volume
17 - 2026
Edited by
Veronika Lukacs-Kornek, University of Bonn, Germany
Reviewed by
Desh Deepak Singh, Amity University Jaipur, India
Sutapa Biswas Majee, NSHM Knowledge Campus, India
Suphiya Parveen, Jain University, India
Updates
Copyright
© 2026 Dong, Cui, Wang, Wu, Liu, Gao, Xie, Lin, Sun, Zhou and Meng.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Run Meng, mengrun@ntu.edu.cn; mengrun_cqu@163.com; Xiaorong Zhou, zhouxiaorong@ntu.edu.cn; Jianming Sun, sunjm67@126.com
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.