- Second Ward of Bone and Soft Tissue Tumor Surgery, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning, China
Immunotherapies such as checkpoint blockade, adoptive cell transfer and vaccines can induce durable responses, yet most solid tumors remain refractory because the tumor immune microenvironment (TIME) is both immunosuppressive and physically difficult to access. In parallel, extracellular vesicles (EVs) and synthetic nanomaterials have emerged as complementary immune messengers and programmable carriers. Exo-nanomaterials, hybrids that fuse EV membranes with synthetic cores, aim to unite EV biocompatibility and trafficking with the loading capacity, modularity and stimulus-responsiveness of engineered nanomaterials. Here, we summarize how exosomes shape the TIME by distributing checkpoint ligands, reprogramming myeloid cells and modulating antigen presentation, and how nanomaterials are engineered to improve tumor-localized delivery of innate agonists and vaccine cargos. We then outline major construction routes (coating, loading and mimetic fabrication) and design modules that enable cold-to-hot conversion, sensitization to checkpoint blockade, and delivery of neoantigen and nucleic-acid vaccines. Finally, we discuss key translational challenges, including standardization, mechanism deconvolution, scalable manufacturing and safety, and propose immune-by-design principles to guide reproducible, mechanism-grounded development toward durable immunotherapy in solid tumors.
1 Introduction
Immune checkpoint blockade, adoptive cell transfer and cancer vaccines have delivered durable benefit in a subset of patients, yet most solid tumors remain refractory because the TIME is heterogeneous, suppressive and physically hard to access. In practice, two constraints repeatedly co-exist: (i) immune dysfunction and adaptive resistance within the TIME, and (ii) insufficient delivery of immunomodulators into excluded tumor niches. Recent clinical and preclinical advances indicate that responses deepen when antigen supply, T-cell reinvigoration and cytokine support can be coordinated in space and time rather than delivered as diffuse systemic exposure (1, 2). Spatially segregated “hot” and “cold” regions can also co-evolve under treatment pressure, creating new bottlenecks even after an initial response (3, 4). These realities motivate carrier technologies, increasingly including hybrid exo-nanomaterials, that can localize, sequence, and sustain immune cues within excluded niches with spatiotemporal control.
Programmable nanomaterials offer engineering control over size, surface chemistry and release kinetics, enabling delivery of innate agonists, co-delivery of adjuvants with checkpoint modulation and modular vaccination strategies designed to convert “cold” tumors into inflamed lesions and mitigate antigen escape (5–7). However, many nanosystems still face biological-interface limitations: opsonization and reticuloendothelial sequestration, incomplete penetration into stromal-excluded regions and off-target innate activation, so physicochemical precision does not always translate into in vivo immunological specificity or acceptable safety.
EVs, including exosomes, represent a biologically native communication and transport layer with favorable biocompatibility and tissue navigation. EV-assisted vaccination and innate-adaptive crosstalk can enhance antitumor immunity, and engineered exosomes can locally modulate checkpoints to improve CD8+ T-cell function (8–10). Importantly, EV therapeutics are entering the clinic: engineered exosomes delivering KRAS^G12D-targeting siRNA demonstrated feasible tumor delivery with immunological correlates in a first-in-human phase-I study (11), and cross-kingdom vesicles further expand sourcing strategies and cargo space (12). Yet EV platforms remain constrained by limited payload capacity, batch heterogeneity, standardization challenges and scalable GMP manufacturing, together with unresolved long-term safety questions across diverse sources.
These complementary strengths and limitations are now converging into exo-nanomaterials, hybrids that fuse EV membranes with synthetic cores to combine biological navigation/targeting with high loading capacity and stimulus-controlled release. Examples such as inhalable EV delivery of IL-12 mRNA and membrane-coated nanoparticles bearing multiple immunostimulatory ligands illustrate how potent immune activation can be localized while limiting systemic toxicity (13, 14). We therefore posit that immune-by-design exo-nanomaterials represent a next-generation platform to overcome the dual challenges of TIME heterogeneity and delivery barriers for precise TIME remodeling in solid tumors.
Accordingly, this review maps key TIME barriers to actionable design requirements (Section 2), summarizes nanomaterial-enabled immunomodulatory strategies (Section 3), details exo-nanomaterial construction routes and design modules (Section 4), surveys major immunotherapy applications by functional outcomes (Section 5), and discusses translational bottlenecks including standardization, mechanism deconvolution, scalable manufacturing and safety (Section 6).
2 Tumor immunity and TIME barriers as design requirements for EV-enabled engineering
Solid tumors respond incompletely to ICIs, adoptive cell therapies and vaccines because antitumor immunity is constrained by a small set of actionable, spatially organized barriers in the TIME. Here we distill these bottlenecks into design requirements that later sections translate into nanomaterial, EV and exo-nanomaterial engineering choices. Rather than exhaustively cataloging cell types, we focus on barriers that most directly dictate whether immune cues can reach tumor nests, reprogram suppressive circuits and sustain effector function in vivo.
2.1 TIME barriers that most strongly constrain durable immunotherapy
2.1.1 Barrier 1: suppressive myeloid-regulatory circuits and checkpoint reinforcement
A common TIME state is a suppressive, myeloid- and Treg-supported ecosystem that can maintain T-cell dysfunction even when effector cells are present. Checkpoint-linked regulatory programs can intensify this suppression, including PD-1-programmed Treg states (15), while macrophage-intrinsic PD-1 signaling can reinforce suppressive myeloid behavior through JAK2-STAT3 rewiring (16). Clinically relevant SPP1+ TAM programs align with CD8+ dysfunction and immunotherapy resistance (17), and suppressive myeloid burden can be causally tied to ICI failure; reducing MDSCs can directly rescue antitumor immunity and synergize with anti-PD-1 (18). Design implication: carriers should enable cell-selective and local delivery (e.g., TAM/MDSC/Treg targeting) to reprogram these circuits and reduce rebound suppression rather than relying on systemic exposure alone.
2.1.2 Barrier 2: stromal-metabolic exclusion and hostile niches
Immune dysfunction is stabilized by tissue architecture and microregional conditions. CAF-driven ECM remodeling restricts CD8+ infiltration and can confer ICI resistance (19). Even where infiltration occurs, nutrient-poor and lactate-rich niches promote metabolic adaptations that erode durable effector function (20). Design implication: delivery systems should prioritize penetration, retention, and in situ activation in excluded or metabolically hostile regions (via size/charge tuning, matrix-aware strategies, and/or locoregional administration) to ensure immune cues actually operate where suppression is maintained.
2.1.3 Barrier 3: impaired priming-presentation-effector coupling and dynamic resistance under treatment pressure
A second decisive bottleneck is the priming-presentation-effector loop, which can be throttled at multiple steps and can shift during therapy. cDC1 availability can gate ICI efficacy (21), and tumor-intrinsic restoration of antigen visibility (e.g., strengthening MHC-I machinery) can sensitize solid tumors to T cell-dependent immunotherapy (22); in patients, therapy-associated increases in B2M/HLA-A can track with response, reinforcing that antigen presentation is dynamic rather than fixed (23). Yet even with priming, persistent antigen exposure in suppressive niches drives exhaustion-like transcriptional programs (24), and resistance can emerge as distinct, selectable tumor-TIME programs under treatment pressure (25). Spatial organization is a unifying constraint across all three barriers, because it ultimately determines whether delivered cues can reach and operate within tumor nests; consistent with this, tumor–stroma interface modeling shows that stromal borders can slow immune motility and block deep infiltration (26). Design implication: platforms should be programmable and re-dosable, with spatially informed delivery/activation, to reinforce priming and antigen visibility while limiting exhaustion and adaptive resistance.
2.2 Exosomes: a mechanistic communication layer that can be exploited or reprogrammed
Exosomes (30–150 nm EVs) constitute a mobile communication layer that links tumor, stromal and immune niches. Importantly, immune escape can be encoded at the EV-sorting step: Munc13–4 promotes preferential PD-L1 loading into exosomes, and disrupting this pathway restores CD8+ function and improves checkpoint responsiveness in vivo (27). EVs can also impose exhaustion programs without direct tumor–T-cell contact; breast cancer EVs promote CD8+ exhaustion via TGF-β type II receptor signaling (28).
Beyond direct immune targeting, tumor exosomal tsRNA can induce fibroblast senescence and Galectin-9 secretion, amplifying tolerance through stromal reprogramming (29). Design implication: EV biology provides both (i) targets to neutralize EV-mediated suppression (e.g., EV PD-L1/decoy pathways) and (ii) templates for niche-local delivery when fused with programmable cores.
2.3 Tumor- versus immune-derived exosomes define both resistance modes and engineering blueprints
Tumor-derived exosomes (TEX) do not merely reflect suppression; they can actively amplify it and create resistance modes that classic dosing does not fully address. Exosomal PD-L1 can reinforce a Treg-M2 macrophage positive feedback loop (30), and TEX can blunt ICIs through antibody decoying that reduces functional drug availability at immune synapses (31). TEX also program innate dominance: exosomal miR-205 can drive M2 polarization via PTEN/PI3K–AKT–mTOR in ovarian cancer (32), and additional miRNA transfer routes sustain macrophage re-education in other tumor contexts (33). In parallel, TEX can expand suppressive pools by recruiting MDSCs via CXCR4 upregulation through TLR2/NF-κB signaling (34), remodel immune entry rules by reprogramming lymphatic endothelial cells toward IDO-linked tolerance (35), and even delete effector function directly; patient plasma small EVs can induce intrinsic apoptosis in activated T cells (36). These observations together motivate hybrid exo-nanomaterial solutions that combine EV-like trafficking and biocompatibility with programmable payload control, aiming to neutralize EV-mediated resistance (e.g., decoys), reprogram suppressive myeloid and stromal compartments, and protect effector function.
Conversely, immune-cell–derived EVs and EV vaccination strategies provide constructive “design blueprints” for therapeutic engineering. Circulating NK-cell exosomes can exhibit antitumoral activity in patient-derived settings (37), and cytokine conditioning can enhance NK-exosome cytotoxic loading and killing potency (38), implying that EV function can be tuned via controllable input rules. DC-derived EVs can be engineered to co-present IL-12 and an anti-CTLA-4 format on their surface to strengthen CD8+ activation (39), while CAR-T-derived EVs can retain antigen specificity and contribute directly to antineoplastic effects (40) with reports of potent activity and lower systemic toxicity than whole-cell approaches (41). Finally, in vivo EV vaccination that routes antigens into EV production pathways can elicit strong tumor-specific CD8+ immunity and near-complete tumor control in stringent dual-antigen models, underscoring how EV biology can be repurposed as a priming factory to address antigen presentation bottlenecks (42).
2.4 Design principles for exo-nanomaterials toward TIME remodeling: a mapping framework
Rather than cataloging exo-nanomaterials by material class, we use an “immune-by-design” mapping that connects TIME barriers to engineering levers, intended immunological effects, and minimal in vivo readouts. This rubric links physicochemical and pharmaceutic parameters (size/charge/shape, membrane source, surface ligands, stimulus-responsiveness, co-delivery and release kinetics, and administration route) to concrete bottlenecks (spatial exclusion, suppressive myeloid circuits, impaired antigen presentation, and systemic toxicity) and specifies what constitutes adequate in vivo evidence for TIME remodeling. Table 1 is used as the organizing scaffold and evaluation yardstick throughout Sections 3–5, enabling side-by-side comparison of systems by barrier targeted, design logic, mechanistic readouts, and translational trade-offs, rather than by materials taxonomy.
Table 1. Mapping TIME barriers to design levers for exo-nanomaterials and expected immunological outcomes.
3 Nanomaterials for immunomodulation
Nanomaterials have become central to tumor immunology because they can be engineered to (i) deliver immune drugs precisely into the TIME, (ii) trigger innate sensing pathways, and (iii) rewire suppressive cellular circuits that keep tumors “cold.” Unlike small-molecule or antibody drugs that rely on passive diffusion and broad systemic exposure, nanosystems are tunable in size, shape, surface chemistry and release behavior, so that where immune activation happens and how long it lasts can be programmed rather than left to chance. This design freedom is now being used to address the “last mile” of immunotherapy—getting the right signal into the right TIME niche at the right time. This nanomaterial logic also motivates exosome-guided or exosome-hybrid delivery concepts discussed earlier, where natural vesicle trafficking and engineered payloads can be combined to modulate the TIME (Figure 1).
Figure 1. Bidirectional immunological roles and therapeutic engineering of exosomes in the TIME. (A) Exosome biogenesis and release via the endosomal pathway: MVBs form ILVs through selective cargo sorting and release 30–150 nm exosomes. (B) Tumor-derived exosomes (TEX) disseminate inhibitory cues (e.g., PD-L1), skew macrophages toward M2-like states, and promote T-cell exhaustion, DC dysfunction, and immune exclusion. (C) Immune-cell-derived exosomes can mediate antitumor effects: NK exosomes deliver cytotoxic proteins, T-cell exosomes convey antigen-specific effector signals, and DC exosomes enhance cross-presentation and T-cell priming; CAR-T exosomes may retain antigen specificity with lower CRS risk. (D) Therapeutic engineering of exosomes: cargos (siRNA/mRNA, cytokines, STING agonists) and surface functionalization enable tumor homing. Fusion with synthetic cores yields hybrids that combine biocompatibility with programmable delivery to enhance antigen visibility, innate sensing, myeloid repolarization, and effector responses.
3.1 Nanodelivery improves the “on-target rate” of immunotherapeutics
A core limitation of many immunotherapies is that only a small fraction of the injected agent reaches tumors or the correct immune cell compartments. Nanomaterials increase this “on-target rate” by stabilizing fragile cargos, prolonging circulation and enabling both lymphoid trafficking and tumor deposition. Antigen-capturing nanoparticles (AC-NPs) that scavenge therapy-released tumor antigens and ferry them into cross-presenting DCs, related biomimetic nanovaccines cloaking immunogenic polymer cores with tumor membranes to broaden the antigen repertoire and preserve native epitope conformation, and intratumoral STING-activating nanovaccines built on synthetic polymer adjuvants that more effectively reprogram draining lymph nodes and the local TIME than systemic dosing collectively exemplify how nanodelivery can script the location and quality of immune activation rather than simply raise drug concentration (43–45).
3.2 Immune-activating nanomaterials: delivering and amplifying innate agonists
A second thrust is to design nanomaterials that directly engage innate immune pathways such as STING, TLR7/8 and cGAS-related sensors or that deliver these agonists into the cytosol with controlled kinetics. Polyvalent PC7A-based polymeric nanoparticles show how material properties can encode signal duration: by undergoing immune-dependent phase transitions they prolong STING activation and type-I IFN programs, with polymer architecture rather than dose alone dictating the temporal profile (46). Nanoparticles that encapsulate cyclic dinucleotide agonists in polymersome shells build on this logic, markedly improving pharmacokinetics, shifting biodistribution toward tumors and thereby opening an intravenous therapeutic window for systemic STING immunotherapy and checkpoint combinations (47). Chemically programmed STING-activating nano-liposomes (SAProsomes), in which agonists are covalently embedded in the liposomal membrane, further coordinate release and reduce systemic inflammation while maintaining strong intratumoral interferon responses (48).
Innate agonists can also be positioned in space using physical targeting and hybrid materials. Nucleotide nanocomplexes displayed on ultrasound microbubbles enable image-guided vascular extravasation and local cytosolic delivery of cGAMP, sharply enhancing STING activation in otherwise poorly penetrant tumors (49). Dual-STING-activating nanosystems such as D-SAM integrate direct receptor agonism with amplified intracellular trafficking, broadening the fraction of tumors that respond and helping to overcome resistance to checkpoint blockade in preclinical models (50). Hybrid manganese nanoparticles, which both debulk cancer stem cell populations and release Mn²+ as a cofactor for cGAS–STING signaling, couple physical tumor reduction to innate “ignition” in highly refractory carcinomas (51). Finally, implantable sandwich-structured dual-drug depots that release a non-nucleotide STING agonist first and an apoptosis inducer second create a staged local cascade particularly suited to TIME re-education after debulking surgery and to the prevention of post-surgical recurrence (52). Across these designs, nanomaterials converge on a shared logic: they enhance cytosolic access for agonists, shape the kinetics of innate signaling and localize activation to TIME niches where antigen presentation and T-cell priming are most effective.
3.3 Nanomaterials remodel suppressive TIME circuits
Even with strong innate triggers, immunotherapy fails if suppressive myeloid and stromal programs remain intact, so nanomaterials are increasingly being used to edit TIME cell states directly. Albumin-based nanoparticles co-delivering the photothermal sensitizer IR820 and the SHP2 inhibitor SHP099 can reorient M2-like TAMs toward M1-like phenotypes, restore macrophage phagocytosis and reinforce cytotoxic T-cell recruitment, jointly shifting the TIME from suppressive to inflamed while limiting systemic exposure to the inhibitor (53). In hepatocellular carcinoma, lipid-coated tannic-acid nanoparticles carrying a CXCR4 antagonist (807-NPs) disrupt the hypoxia-driven CXCL12/CXCR4 axis that supports M2 polarization and T-cell exclusion, yielding marked TAM repolarization and enhanced sensitivity to PD-1 blockade (54). Polymeric micellar nanoparticles that co-formulate a TLR7/8 agonist with a PI3Kδ inhibitor extend this concept into the context of radiotherapy: by reducing MDSCs and tissue-resident Tregs while promoting type-1 macrophages and adaptive T- and B-cell expansion, they “lock” immunostimulatory and anti-suppressive cues into a single spatiotemporal package and help prevent the TIME from re-establishing resistance after irradiation (55). In each case, nanomaterials are not simply adding more stimulatory signals but actively subtracting suppressive ones within the same anatomical compartment.
3.4 Material class–immune effect relationships
Finally, different nanomaterial classes tend to produce distinct immune signatures because they differ in uptake pathways and degradation kinetics. PPS-based polymeric nanoparticles carrying TLR7/8 agonists can be tuned to selectively prolong DC activation, maintaining IL-12-dominated priming while limiting systemic cytokine spillover; adjusting their degradation rate allows innate activation windows to be aligned with antigen presentation and T-cell priming (56). By contrast, amphiphilic prodrug self-assemblies of the TLR7/8 agonist R848 form carrier-free nanostructures whose disassembly is tied to intracellular enzymatic or redox environments, creating high local receptor potency with reduced off-target stimulation and minimal excipient burden (57). In practical terms, polymeric carriers excel at programmable multi-cargo release, whereas prodrug or coordination assemblies boost per-particle immunogenicity and simplify formulations. Recognizing these class-specific tendencies provides a useful framework for rational exo-nanomaterial design in subsequent sections.
4 Engineering exo-nanomaterials
4.1 Fusion rationale and complementary advantages
Exo-nanomaterials are hybrids that integrate natural exosomes (or exosome-like EVs) with synthetic nanomaterials into a single therapeutic unit. The logic is pragmatic: exosomes are biologically “native” carriers with low immunogenicity, long circulation, and inherent roles in immune communication, but their translation is often limited by low yield, heterogeneity, and modest cargo capacity. Scalable top-down production of exosome-mimetic nanovesicles by membrane extrusion can boost vesicle yield while preserving much of the parent-cell surface identity, helping address the manufacturing bottleneck (58). Reproducible wrapping of membranes onto cores has also been enabled by microfluidic sonication–driven fusion (59).
An overview of exo-nanomaterial engineering routes, surface design strategies and immune activation pathways is illustrated in Figure 2.
Figure 2. Exo-nanomaterial engineering for tumor immunotherapy: routes, surface design and immune activation pathways. (A) Engineering routes for constructing exo-nanomaterial hybrids. Coating strategies wrap pre-formed nanoparticle cores with exosomal membranes to generate NP–Exo core–shell hybrids; loading approaches introduce drugs or nucleic acids into exosomes to obtain cargo-loaded vesicles; mimetic fabrication uses synthetic lipids and polymers to build nano-exosome analogs with exosome-like size, composition, and functionality. (B) Surface modification and targeting toolbox. Inherited homing is conferred by donor-cell membranes (e.g., tumor-cell membranes) that carry integrins and other homing receptors. Additional ligands are introduced via lipid-anchored peptides, RGD peptides, Fc fragments, or genetically displayed targeting proteins, enabling refined tumor tropism and functionalization. (C) Main immune-activation pathways engaged by exo-nanomaterial hybrids. Immunogenic cell death (ICD) of tumor cells releases damage-associated molecular patterns (DAMPs; such as ATP and HMGB1), promotes DC activation, and primes tumor-specific T cells. In parallel, STING and TLR pathways are activated through cGAS–STING signaling and TLR engagement, inducing type I interferons and pro-inflammatory cytokines. (D) Immune reprogramming and tumor-immunotherapy outcomes. By integrating these routes and pathways, exo-nanomaterial hybrids remodel the TIME, decrease Tregs and MDSCs, enhance the activity of CD8+ T cells and NK cells, and promote tumor cell apoptosis, ultimately leading to strengthened antitumor immune responses and improved therapeutic efficacy.
On the other side, synthetic nanomaterials bring what exosomes usually lack: high loading density, precise control over size/shape/charge, and stimulus-responsive behaviors. When fused, the exosome shell supplies “self” markers and targeting ligands, while the core supplies programmable physics. Direct membrane-fusion techniques—like microfluidic sonication—allow exosome membranes to be wrapped onto diverse nanoparticle cores without fully disrupting the vesicle architecture, which is essential for reproducible hybrid assembly.
Functionally, the hybrid often outperforms either component. For instance, brain-targeted exosome-mimetic cell membrane nanovesicles use an internal nanocore to carry therapeutic oligonucleotides, while the exosome-mimetic cloak improves blood–brain barrier penetration and glioblastoma homing, resulting in higher intratumoral drug accumulation and better survival than free oligonucleotides; similarly, integrate chemotherapeutic and photothermal agents within a vesicular shell, coupling strong photothermal/chemo capacity with immune camouflage to amplify tumor penetration and tumor cell killing (60, 61). Overall, fusion is not a cosmetic add-on; it is a strategy to co-opt biology for navigation and physics for controllable killing/immune priming.
4.2 Three construction routes: coating, loading, and mimetic fabrication
4.2.1 Route I — coating (exosome membrane cloaking)
In coating strategies, a pre-fabricated nanoparticle (organic, inorganic, or hybrid) is wrapped with intact exosomes or purified exosomal membranes to form a core–shell structure. This route is ideal when the core contributes a strong modality (photothermal, magnetic, catalytic, radiosensitizing), while the shell contributes stealth and tropism. Exosome-coated Prussian Blue nanoparticles for glioblastoma exemplify this design, with a Prussian Blue core providing photothermal conversion and a tumor-derived exosome shell conferring glioma targeting and immune evasion–bypassing properties (62). Another coating-based strategy is an in situ sprayed nanovaccine that disorganizes the Golgi apparatus and suppresses exosomal PD-L1 in the postsurgical tumor bed, thereby enhancing local antigen presentation and improving postoperative melanoma immunotherapy (63).
4.2.2 Route II — loading (intraluminal or interfacial cargo insertion)
Loading routes start from intact exosomes and introduce therapeutic agents into the lumen or bilayer. Methods include electroporation, freeze–thaw, surfactant permeabilization, or parental-cell pre-loading (cells “pack” cargo into exosomes before secretion). This route is especially strong for soluble immune modulators that need protection and tumor retention. ExoSTING, an extracellular vesicle formulation loaded with a cyclic-dinucleotide STING agonist, efficiently traffics to antigen-presenting cells and drives strong type-I IFN responses compared with free agonist (64). Exosome–liposome hybrids co-delivering triptolide and miR-497 further demonstrate how an exosomal bilayer can act as a biological “outer layer” that stabilizes and retargets a high-capacity lipid core, overcoming chemoresistant ovarian cancer with improved safety (65). In a vaccine context, extracellular-vesicle–hybrid plasmid-loaded lipid nanovesicles (Lipo@HEV) package plasmid antigens and adjuvants into a vesicular nanovaccine that drains to lymph nodes and elicits synergistic cancer immunotherapy (66).
4.2.3 Route III — mimetic fabrication (top-down/bottom-up exosome analogs)
Mimetic routes reduce reliance on naturally secreted exosomes as the final carrier. Instead, they produce exosome-like shells by membrane extrusion or by assembling synthetic vesicles and inserting selected surface proteins or lipids. The main advantages are scalability and tighter compositional control. For example, exosome-mimetic nanovesicles generated by serial extrusion can be decorated with superparamagnetic iron oxide nanoparticles (SPIONs) and loaded with TNF-α, enabling magnetic guidance to cancer cell membranes where localized cytokine release induces potent cell death while limiting systemic toxicity (67). Mimetic logic is also expanding into route-specific delivery, such as inhalable nanovesicles loaded with a STING agonist that home to lung tumors, activate STING within the pulmonary microenvironment, and significantly enhance CAR-T-cell activity against solid tumors in the lung (68). Together, these three routes are not mutually exclusive—many advanced systems mix them (for example, mimetic shells combined with intraluminal loading).
4.2.4 Critical comparison and translational outlook across construction routes
While coating, loading, and biomimetic fabrication are often introduced as parallel options, they differ substantially in immune potency, safety liabilities, and CMC/GMP readiness. Coating (membrane cloaking of a well-defined synthetic core) is typically the most modular and formulation-stable route, because core composition, size distribution, and release behavior can be tightly controlled, and membrane wrapping mainly tunes biological interfacing and tropism (69). Its main translational risks are membrane-source safety and heterogeneity (donor cell identity, adventitious agents, residual bioactive proteins) and the need to define CQAs that capture membrane integrity and functional ligand display, consistent with community standardization guidance for EV characterization and reporting (70). In addition, incomplete or non-uniform membrane coverage can shift uptake and in vivo performance, making coating completeness and membrane integrity practical release attributes that require fit-for-purpose assays and process control (71).
Loading (intraluminal/interfacial cargo insertion into intact EVs) can achieve high biological relevance and strong immune activity for nucleic acids or cytokines, but it is often the most variable route, as loading efficiency, membrane damage/aggregation, cargo leakage, and batch heterogeneity complicate dose definition and reproducibility, motivating stricter method transparency and multi-parameter characterization aligned with updated EV best practices (72). Biomimetic fabrication improves scalability and compositional control by reducing reliance on naturally secreted EVs, enabling tighter specification of lipid/protein content and more straightforward QC release criteria; however, it may trade off some native trafficking features and can introduce new immunogenicity or clearance profiles if “exosome-like” surfaces are incompletely recapitulated (73). Overall, coating and biomimetic routes with standardized membrane sources and clearly defined synthetic cores are generally closer to GMP translation, whereas loading-forward designs may deliver higher immune potency but demand more stringent process controls and orthogonal QC to ensure consistency and safety.
4.3 Drug-loading and functionalization modules
After selecting a construction route, the choice of payload determines how a hybrid system reshapes the TIME. At the nucleic acid level, a pivotal direction is to use engineered exosomes to deliver RNA interference or gene-editing cargos. Preclinical work has already shown that exosomes engineered to deliver siRNA against mutant KRAS can achieve on-target pathway inhibition and tumor control in pancreatic cancer models, setting the conceptual stage for clinical translation (74). Building on this logic, many platforms now embed small, labile immune agonists—such as STING, TLR and cGAS–STING-axis activators—into exosomal or exosome-mimetic vesicles so that these molecules are protected during circulation, released where needed, and translated into heightened antigen presentation, elevated CXCL10 and IFN-β, and more robust CD8+ T-cell priming.
A complementary strategy is to exploit the membrane itself as an “active shell.” Exosomes derived from immune cells can carry intrinsic antitumor instructions through their surface receptors and cargo. Photosensitive hybrid γδ-T-cell exosomes, for example, insert a photosensitizer into γδ-T-derived vesicles so that light-triggered ROS induces immunogenic cell death, while γδ-T exosomal proteins simultaneously stimulate NK and CD8+ T-cell activity, producing both strong local tumor control and enhanced systemic antitumor immunity (75). Beneath these biological interfaces, metallic or oxide nano-cores can be introduced to add catalytic ROS generation, ferroptosis enhancement or photothermal conversion. When such cores are wrapped in an exosomal shell, they concentrate within tumors and “turn immune death on” without the usual off-target toxicity of free nano-agents; in this view, the inorganic core functions as a compact physical engine, whereas the exosomal surface negotiates biological access and immune dialogue.
4.4 Targeting and stimulus-responsive release engineering
Targeting in exo-nanomaterials works at two coupled levels. First, hybrids inherit homing from donor membranes (integrins, tetraspanins, chemokine receptors). Second, they add ligands through lipid-anchoring, click chemistry, or genetic display in parental cells. A chimeric exosome platform functionalized with STING activation for personalized glioblastoma immunotherapy shows that targeting and immune activation can be optimized together: the engineered exosomal membrane drives glioma homing, while the internal STING-activating cargo induces strong type-I IFN signaling and deep TIME reprogramming (76).
Stimulus-responsive release then decides when and where payloads unlock. Light-triggered systems are particularly mature: designer exosomes that co-deliver chemotherapeutics, gene cargos and photothermal agents can use near-infrared irradiation to induce local hyperthermia and controlled drug release, achieving efficient tumor-targeted chemo/gene/photothermal combination therapy (77). Endogenous triggers are equally important for deep lesions. Acidity-activatable dynamic hybrid nanoplatforms derived from M1 macrophage EVs remain stable in circulation but reconfigure in the acidic tumor microenvironment, boosting triple-synergistic cancer immunotherapy through checkpoint enhancement, myeloid reprogramming and effector T-cell activation (78).
Conceptually, the best hybrids orchestrate a tightly coupled cascade in which an initial stimulus leads to tumor cell killing, the release of tumor antigens, the activation of innate immune pathways and, ultimately, the expansion of adaptive antitumor responses. It is this closed immunological loop that transforms a nanomedicine into a genuine nano-immunotherapy.
5 Immunotherapy applications of exo-nanomaterials
Exo-nanomaterial platforms described above have now been tested across multiple tumor types and immunotherapy settings. To connect engineering logic with functional outcomes, Table 2 groups representative designs by immunological application rather than by individual construct.
5.1 Turning “cold” tumors “hot”
A core promise of exo-nanomaterials is that they can start immunity where tumors are silent. Cold tumors typically lack strong danger signals, so DCs stay immature and T cells fail to enter or persist. Exosome-hybrid platforms address this at two levels: (i) immunogenic tumor killing that releases antigens and DAMPs, and (ii) direct adjuvant delivery to APCs.
Photo-activated hybrids are a clean example. Exosome-encapsulated black phosphorus nanoparticles act as a photothermal/photodynamic core that triggers robust ICD, while the exosomal membrane improves intratumoral delivery and antigen capture, collectively boosting DC maturation and downstream CD8+ priming in multiple models (79). A complementary design uses tumor-exocytosed exosome/AIE luminogen hybrid nanovesicles that achieve deep tumor penetration before light activation; this sequence (penetration → ROS-mediated tumor cell death) markedly enhances photodynamic efficacy and is expected to increase the availability of tumor antigens in situ (80).
Cold-to-hot conversion can also be achieved by engineering the adjuvant directly onto/into exosome hybrids. In a representative glioma system, immune exosomes loading self-assembled therapeutic nanomicelles traverse the blood–brain barrier; once inside the brain, the combined chemo- and immunotherapeutic effects of the payload enhance glioblastoma control and promote local immune activation within the brain tumor microenvironment (81). Beyond exosome platforms, ferroptosis-augmented sonodynamic nanoplatforms further demonstrate that carefully tuned ROS/ferroptotic death can amplify sonodynamic tumor killing and provide a ferroptosis-augmented platform that could, in principle, be combined with immunotherapy (82). Exosome-coated nanoparticles for glioblastoma exemplify how cloaking inorganic or drug-loaded cores with tissue-homing exosomal membranes can improve intratumoral accumulation and treatment specificity (83).
5.2 Sensitizing immune checkpoint blockade and reversing resistance
Even in “hotter” tumors, ICI can fail because local suppressive cues and circulating exosomal checkpoints blunt T cells. Exo-nanomaterials attack both. First, hybrids can locally remove PD-L1 pressure. Biomimetic exosomal vesicles loaded with siRNA against PD-L1 have been used to inhibit tumor secretion of PD-L1-rich exosomes, thereby reducing systemic “decoy” suppression of PD-1+ T cells and improving CD8+ T-cell–mediated antitumor responses in preclinical models (84). Second, hybrids can reprogram suppressive myeloid checkpoints that sit upstream of PD-1 failure. Engineered exosome-like nanovesicles that promote tumor ferroptosis have been shown to remodel the tumor microenvironment and drive macrophages toward a more inflammatory, antigen-presenting phenotype, thereby creating conditions that are more permissive for effective checkpoint blockade (85). Together, these data suggest that exo-nanomaterials can create “ICI-ready TIMEs” by allowing checkpoint antibodies to act on a remodeled, less suppressive target.
5.3 Tumor vaccines and personalized antigen delivery
Exo-nanomaterials are especially well matched to vaccines because they can co-deliver antigen and adjuvant in the same lymph-node-draining particle, preserving native conformations and trafficking routes.
A clear personalized example is DC-derived exosome neoantigen nanovaccination, where exosomes loaded with neoantigenic peptide nanocomplexes drive strong CD8+ expansion and potent antitumor activity. The vesicular membrane promotes lymph node uptake and efficient cross-presentation compared with soluble peptides, improving primary tumor control and reducing metastatic burden in preclinical models (86). Complementarily, engineered exosome-like nanovesicles that reprogram the tumor microenvironment and promote ferroptosis provide a semi-biological vaccine-like effect: they carry tumor antigens while simultaneously modulating stromal and myeloid compartments, so that cytotoxic T lymphocytes (CTLs) attack both malignant cells and supportive stromal elements.
5.4 Combination therapies
Most successful exo-nanomaterial regimens now behave like “built-in combination therapies.” The hybrid supplies a physical trigger and a biological traffic map, so that killing and immune priming are inseparable in practice.
Phototherapy-driven exo-hybrids described above are not just cytotoxic; they are antigen-making machines that pulse danger signals at the exact time immune cells arrive. Thermosensitive exosome–liposome hybrid nanoparticles that co-deliver docetaxel and GM-CSF provide a similar proof-of-concept: under mild hyperthermia, a single vesicular platform can combine locoregional chemotherapy with systemic chemoimmunotherapy and significantly improve control of metastatic peritoneal carcinoma over chemotherapy alone (87). Sonodynamic and ferroptosis-coupled hybrids extend this logic to deep lesions by producing ROS and immunogenic death under ultrasound, while simultaneously reshaping local redox and lipid peroxidation pathways. Mechanistically, these systems illustrate a shared rule: the tighter the stimulus–killing–APC loop, the stronger the systemic immunity.
5.5 Representative evidence across tumor types
Evidence for immunotherapy-active exo-nanomaterials is no longer confined to one niche tumor. In glioblastoma, neural stem-cell-derived exosomes delivering CpG-STAT3 antisense oligonucleotides show that re-arming local myeloid/APC populations and relieving STAT3-driven suppression can convert a poorly immunogenic glioma into an immunotherapy-responsive state (88). In hepatocellular carcinoma, exosome-like photo-immunotherapy nanomedicines demonstrate that liver-tropic vesicular properties can be paired with external light triggers to induce potent intrahepatic tumor control and to remodel the immune microenvironment toward enhanced antitumor responses (89).
In fibroblast-rich solid tumors, ferroptosis-promoting exosome-like nanovesicles highlight a distinct advantage of exosome-mimetic hybrids: by targeting both tumor cells and suppressive stromal/myeloid components, they open the stromal barrier and increase ICI accessibility. Finally, in melanoma, breast and colon models, tumor-exosome-bionic nanozymes based on Type-I AIE photosensitizers induce ICD-associated DAMP release, promote DC maturation and enhance CD8+ T-cell–mediated antitumor immunity (90).
6 Conclusions and discussion
Exo-nanomaterials sit at the intersection of two rapidly maturing fields: exosome biology and cancer nanomedicine. Recent overviews of hybrid nanomaterials and nano-immunotherapy emphasize that combining immune-modulatory cargo with programmable carriers can convert otherwise marginal responses into durable tumor control, particularly when delivery is tailored to the TIME rather than to the tumor bulk alone (91, 92). These data support the central premise of this review: exosomes provide a biologically privileged interface with immune and stromal compartments, while synthetic nanomaterials contribute scalable loading, spatiotemporal control and multifunctionality; their integration offers capabilities that neither modality can achieve independently.
On the vesicle side, exosome-based delivery has moved beyond conceptual proof into increasingly sophisticated “smart” designs. Exosome-inspired platforms now routinely integrate targeting ligands, controlled-release modules and imaging handles within a single vesicle, demonstrating improved drug penetration, reduced systemic toxicity and better orchestration of immune activation in preclinical models (93). Parallel work on how EVs remodel the TIME shows that EV-mediated crosstalk can either propagate immune suppression or distribute antitumor signals across spatially separated niches (94). Together, these findings underscore a key translational lesson: therapeutic exo-nanomaterials must be constructed with explicit consideration of endogenous EV signaling circuits, or they risk reinforcing the very suppressive programs they are meant to overcome.
From the nanomaterial perspective, the last few years have clarified both the promise and the liabilities of nanoparticle-driven immunotherapy. Systematic analyses of nanoparticle platforms highlight their ability to co-deliver antigens, adjuvants and checkpoint modulators, but also caution that particle composition, size and surface chemistry can trigger unintended innate sensing or off-target accumulation (95). At the same time, focused reviews of STING agonist delivery reveal that rational nanoformulation is often the difference between intolerable systemic cytokine storm and therapeutically useful, tumor-restricted interferon programs (96). For exo-nanomaterial design, these insights argue for “immune-by-design” engineering: the inorganic or polymeric core must be optimized not only for drug loading and release, but also for a predictable and acceptable pattern of innate immune engagement.
Locoregional depots provide an additional layer of control that is highly compatible with exo-nanomedicine. Hydrogel-based delivery systems have emerged as versatile platforms for sustaining local concentrations of immunomodulators, promoting lymphoid drainage of antigens and minimizing systemic exposure (97). When exosomes or exo-coated nanoparticles are embedded in such hydrogels, it becomes possible to stage immune activation in a temporally extended fashion: early waves of ICD and antigen release can be followed by prolonged adjuvant and checkpoint modulation within the same anatomical space. Conceptually, this suggests a future in which exo-nanomaterials function not only as mobile carriers but also as modular components of injectable or implantable immune “micro-reactors” in the surgical cavity or tumor bed.
Sources of vesicles also deserve broader consideration. Plant-derived extracellular vesicles (PDEVs) and other non-mammalian EVs are being explored as low-cost, scalable and potentially less immunogenic carriers for nucleic acids and small molecules (98). Their natural stability across gastrointestinal and systemic routes, together with the possibility of agricultural-scale production, offers an attractive route to resolving current manufacturing bottlenecks in exosome therapy. However, differences in lipid composition, glycosylation and innate sensing raise unresolved questions about long-term safety, biodistribution and interaction with human immune cells. For exo-nanomaterials, PDEVs and other “cross-kingdom” vesicles may ultimately serve as customizable shells that combine unique tissue tropism with synthetic cores, but this will require much tighter mapping of their immunological fingerprints.
A recurring theme across successful platforms is the importance of spatiotemporal precision in immune stimulation. “Smart” on-demand release systems that respond to pH, enzymes, redox potential or external physical triggers can align antigen exposure, innate sensing and effector recruitment in ways that fixed-dose regimens cannot (99). Sequential delivery systems push this logic further by decoupling early priming signals (e.g., ICD inducer plus antigen capture) from later maintenance signals (e.g., checkpoint modulation or cytokine support) within one integrated carrier (100). When such sequential or stimulus-responsive strategies are implemented in exo-nanomaterials, they offer a route to dynamically adapt to TIME evolution—for example, by front-loading myeloid reprogramming in “cold” lesions and postponing T-cell boosting until sufficient antigen presentation has been restored.
Overall, the available evidence supports cautious optimism. Exo-nanomaterials have demonstrated the capacity to (i) enhance antigen visibility, (ii) concentrate potent innate agonists at otherwise inaccessible sites, and (iii) rewire suppressive myeloid and stromal compartments, thereby sensitizing tumors to checkpoint blockade and other systemic therapies. At the same time, major challenges remain, including standardizing vesicle isolation and characterization, deconvolving the contributions of exosomal versus synthetic components in complex hybrids, ensuring batch-to-batch reproducibility at clinical scale, and defining long-term safety in immunologically diverse patient populations. In the near term, translationally viable exo-nanomaterials will likely favor compositionally defined cores and standardized membrane sources, with critical quality attributes (CQAs) that link membrane integrity, targeting ligands, and immune readouts to reproducible in vivo activity.
Future progress will likely depend on iterative feedback between high-resolution TIME profiling, quantitative modeling of vesicle immune interactions, and carefully controlled early-phase trials. If these components can be aligned, exo-nanomaterials are well positioned to move from experimental tools to a coherent class of next-generation immunotherapies capable of addressing the spatial, temporal, and ecological complexity of solid tumors.
Author contributions
WF: Conceptualization, Writing – review & editing, Writing – original draft. EQ: Writing – review & editing, Methodology, Software. RL: Writing – original draft, Project administration, Methodology. SW: Writing – review & editing, Formal analysis, Project administration. TW: Writing – review & editing, Resources, Conceptualization. YW: Writing – review & editing, Investigation, Supervision, Software.
Funding
The author(s) declared that financial support was not received for this work and/or its publication.
Conflict of interest
The authors 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.
Generative AI statement
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References
1. Weber JS, Carlino MS, Khattak A, Meniawy T, Ansstas G, Taylor MH, et al. Individualised neoantigen therapy mRNA-4157 (V940) plus pembrolizumab versus pembrolizumab monotherapy in resected melanoma (KEYNOTE-942): a randomised, phase 2b study. Lancet. (2024) 403:632–44. doi: 10.1016/S0140-6736(23)02268-7
2. Murad JP, Christian L, Rosa R, Ren Y, Buckley AJ, Lee EHJ, et al. Solid tumour CAR-T cells engineered with fusion proteins targeting PD-L1 for localized IL-12 delivery. Nat BioMed Eng. (2025). doi: 10.1038/s41551-025-01509-2
3. Tanaka M, Lum L, Hu KH, Chaudhary P, Hughes S, Ledezma-Soto C, et al. Tumor cell heterogeneity drives spatial organization of the intratumoral immune response. J Exp Med. (2025) 222:e20242282. doi: 10.1084/jem.20242282
4. Barroux M, Househam J, Lakatos E, Ronel T, Baker AM, Salié H, et al. Evolutionary and immune microenvironment dynamics during neoadjuvant treatment of esophageal adenocarcinoma. Nat Cancer. (2025) 6:820–37. doi: 10.1038/s43018-025-00955-w
5. Kimmel BR, Arora K, Chada NC, Bharti V, Kwiatkowski AJ, Finkelstein JE, et al. Potentiating cancer immunotherapies with modular albumin-hitchhiking nanobody-STING agonist conjugates. Nat BioMed Eng. (2025) 9:1719–39. doi: 10.1038/s41551-025-01400-0
6. Zhao J, Tong A, Liu J, Xu M, and Mi P. Tumor-targeting nanocarriers amplified immunotherapy of cold tumors by STING activation and inhibiting immune evasion. Sci Adv. (2025) 11:eadr1728. doi: 10.1126/sciadv.adr1728
7. Li Y, Fang M, Yu H, Wang X, Xue S, Jiang Z, et al. Neoantigen enriched biomimetic nanovaccine for personalized cancer immunotherapy. Nat Commun. (2025) 16:4783. doi: 10.1038/s41467-025-59977-8
8. Wang R, Zhu T, Hou B, and Huang X. An iPSC-derived exosome-pulsed dendritic cell vaccine boosts antitumor immunity in melanoma. Mol Ther. (2023) 31:2376–90. doi: 10.1016/j.ymthe.2023.06.005
9. Hansen AS, Jensen LS, Gammelgaard KR, Ryttersgaard KG, Krapp C, Just J, et al. T-cell derived extracellular vesicles prime macrophages for improved STING based cancer immunotherapy. J Extracell Vesicles. (2023) 12:e12350. doi: 10.1002/jev2.12350
10. Li J, Chen Y, Liao M, Yu S, Yuan B, Jia Z, et al. Exosomes-delivered PD-L1 siRNA and CTLA-4 siRNA protect against growth and tumor immune escape in colorectal cancer. Genomics. (2023) 115:110646. doi: 10.1016/j.ygeno.2023.110646
11. Kalluri VS, Smaglo BG, Mahadevan KK, Kirtley ML, McAndrews KM, Mendt M, et al. Engineered exosomes with KrasG12D specific siRNA in pancreatic cancer: a phase I study with immunological correlates. Nat Commun. (2025) 16:8696. doi: 10.1038/s41467-025-63718-2
12. Liu J, Xiang J, Jin C, Ye L, Wang L, Gao Y, et al. Medicinal plant-derived mtDNA via nanovesicles induces the cGAS-STING pathway to remold tumor-associated macrophages for tumor regression. J Nanobiotechnol. (2023) 21:78. doi: 10.1186/s12951-023-01835-0
13. Liu M, Hu S, Yan N, Popowski KD, Cheng K, et al. Inhalable extracellular vesicle delivery of IL-12 mRNA to treat lung cancer and promote systemic immunity. Nat Nanotechnol. (2024) 19:565–75. doi: 10.1038/s41565-023-01580-3
14. Ito Y, Kasuya H, Kataoka M, Nakamura N, Yoshikawa T, Nakashima T, et al. Plasma membrane-coated nanoparticles and membrane vesicles to orchestrate multimodal antitumor immunity. J Immunother Cancer. (2025) 13:e010005. doi: 10.1136/jitc-2024-010005
15. Lim JX, McTaggart T, Jung SK, Smith KJ, Hulme G, Laba S, et al. PD-1 receptor deficiency enhances CD30+ Treg cell function in melanoma. Nat Immunol. (2025) 26:1074–86. doi: 10.1038/s41590-025-02172-0
16. Jiang H, Pang J, Li T, Akofala A, Zhou X, Yi C, et al. PD-1 regulates the anti-tumor immune function of macrophages through JAK2-STAT3 signaling pathway in colorectal cancer tumor microenvironment. J Transl Med. (2025) 23:502. doi: 10.1186/s12967-025-06469-4
17. Jiang W, Liu L, Xu Z, Qiu Y, Zhang B, Cheng J, et al. SPP1+ Tumor-associated macrophages drive immunotherapy resistance via CD8+ T-cell dysfunction in clear-cell renal cell carcinoma. Cancer Immunol Res. (2025) 13:1533–46. doi: 10.1158/2326-6066.CIR-24-1146
18. Mukherjee N, Katsnelson E, Brunetti TM, Michel K, Couts KL, Lambert KA, et al. MCL1 inhibition targets Myeloid Derived Suppressors Cells, promotes antitumor immunity and enhances the efficacy of immune checkpoint blockade. Cell Death Dis. (2024) 15:198. doi: 10.1038/s41419-024-06524-w
19. Jenkins L, Jungwirth U, Avgustinova A, Iravani M, Mills A, Haider S, et al. Cancer-associated fibroblasts suppress CD8+ T-cell infiltration and confer resistance to immune-checkpoint blockade. Cancer Res. (2022) 82:2904–17. doi: 10.1158/0008-5472.CAN-21-4141
20. Park J, Hsueh PC, Li Z, and Ho PC. Microenvironment-driven metabolic adaptations guiding CD8+ T cell anti-tumor immunity. Immunity. (2023) 56:32–42. doi: 10.1016/j.immuni.2022.12.008
21. Mahadevan KK, Dyevoich AM, Chen Y, Li B, Sugimoto H, Sockwell AM, et al. Type I conventional dendritic cells facilitate immunotherapy in pancreatic cancer. Science. (2024) 384:eadh4567. doi: 10.1126/science.adh4567
22. Li X, Yi H, Jin Z, Jiang K, Xue K, Wang J, et al. MCRS1 sensitizes T cell-dependent immunotherapy by augmenting MHC-I expression in solid tumors. J Exp Med. (2024) 221:e20240959. doi: 10.1084/jem.20240959
23. Reis B, Attig J, Dziadek S, Graefe N, Heller A, Rieder N, et al. Tumor beta2-microglobulin and HLA-A expression is increased by immunotherapy and can predict response to CIT in association with other biomarkers. Front Immunol. (2024) 15:1285049. doi: 10.3389/fimmu.2024.1285049
24. Caushi JX, Zhang J, Ji Z, Vaghasia A, Zhang B, Hsiue EH, et al. Transcriptional programs of neoantigen-specific TIL in anti-PD-1-treated lung cancers. Nature. (2021) 596:126–32. doi: 10.1038/s41586-021-03752-4
25. Lim SY, Shklovskaya E, Lee JH, Pedersen B, Stewart A, Ming Z, et al. The molecular and functional landscape of resistance to immune checkpoint blockade in melanoma. Nat Commun. (2023) 14:1516. doi: 10.1038/s41467-023-36979-y
26. Perucca A, Llonín AG, Benach OM, Hallopeau C, Rivas EI, Linares J, et al. Micro Immune Response On-chip (MIRO) models the tumour-stroma interface for immunotherapy testing. Nat Commun. (2025) 16:1279. doi: 10.1038/s41467-025-56275-1
27. Liu C, Liu D, Zheng X, Guan J, Zhou X, Zhang H, et al. Munc13–4 mediates tumor immune evasion by regulating the sorting and secretion of PD-L1 via exosomes. Nat Commun. (2025) 16:9080. doi: 10.1038/s41467-025-64149-9
28. Xie F, Zhou X, Su P, Li H, Tu Y, Du J, et al. Breast cancer cell-derived extracellular vesicles promote CD8+ T cell exhaustion via TGF-β type II receptor signaling. Nat Commun. (2022) 13:4461. doi: 10.1038/s41467-022-31250-2
29. Zhao G, Zhang Y, Zhang H, Guo Y, Xu C, Ge D, et al. Tumor-derived exosomal tsRNA 3’tiRNA-AlaCGC in promoting fibroblast senescence and Galectin-9 secretion to induce immune tolerance in lung adenocarcinoma. Cell Death Discov. (2025) 11:403. doi: 10.1038/s41420-025-02695-3
30. Wei F, Fang R, Lyu K, Liao J, Long Y, Yang J, et al. Exosomal PD-L1 derived from head and neck squamous cell carcinoma promotes immune evasion by activating the positive feedback loop of activated regulatory T cell-M2 macrophage. Oral Oncol. (2023) 145:106532. doi: 10.1016/j.oraloncology.2023.106532
31. Chen J, Yang J, Wang W, Guo D, Zhang C, Wang S, et al. Tumor extracellular vesicles mediate anti-PD-L1 therapy resistance by decoying anti-PD-L1. Cell Mol Immunol. (2022) 19:1290–301. doi: 10.1038/s41423-022-00926-6
32. He L, Chen Q, and Wu X. Tumour-derived exosomal miR-205 promotes ovarian cancer cell progression through M2 macrophage polarization via the PI3K/Akt/mTOR pathway. J Ovarian Res. (2025) 18:28. doi: 10.1186/s13048-025-01616-3
33. Li M, Xu H, Qi Y, Pan Z, Li B, Gao Z, et al. Tumor-derived exosomes deliver the tumor suppressor miR-3591-3p to induce M2 macrophage polarization and promote glioma progression. Oncogene. (2022) 41:4618–32. doi: 10.1038/s41388-022-02457-w
34. Li N, Wang Y, Xu H, Wang H, Gao Y, Zhang Y, et al. Exosomes Derived from RM-1 Cells Promote the Recruitment of MDSCs into Tumor Microenvironment by Upregulating CXCR4 via TLR2/NF-κB Pathway. J Oncol. (2021) 2021:5584406. doi: 10.1155/2021/5584406
35. Zhou C, Zhang Y, Yan R, Huang L, Mellor AL, Yang Y, et al. Exosome-derived miR-142-5p remodels lymphatic vessels and induces IDO to promote immune privilege in the tumour microenvironment. Cell Death Differ. (2021) 28:715–29. doi: 10.1038/s41418-020-00618-6
36. Mondal SK, Haas D, Han J, and Whiteside TL. Small EV in plasma of triple negative breast cancer patients induce intrinsic apoptosis in activated T cells. Commun Biol. (2023) 6:815. doi: 10.1038/s42003-023-05169-3
37. Kang YT, Niu Z, Hadlock T, Purcell E, Lo TW, Zeinali M, et al. On-chip biogenesis of circulating NK cell-derived exosomes in non-small cell lung cancer exhibits antitumoral activity. Adv Sci (Weinh). (2021) 8:2003747. doi: 10.1002/advs.202003747
38. Kim IY, Kim HY, Song HW, Park JO, Choi YH, Choi E, et al. Functional enhancement of exosomes derived from NK cells by IL-15 and IL-21 synergy against hepatocellular carcinoma cells: The cytotoxicity and apoptosis in vitro study. Heliyon. (2023) 9:e16962. doi: 10.1016/j.heliyon.2023.e16962
39. Chen J, Tan Q, Yang Z, Chen W, Zhou E, Li M, et al. Dendritic cell derived-extracellular vesicles engineered to express interleukin-12 and anti-CTLA-4 on their surface for combinational cancer immunotherapy. J Extracell Vesicles. (2025) 14:e70068. doi: 10.1002/jev2.70068
40. Lanuti P, Guardalupi F, Corradi G, Florio R, Brocco D, Veschi S, et al. CD19.CAR T-cell-derived extracellular vesicles express CAR and kill leukemic cells, contributing to antineoplastic therapy. Blood Adv. (2025) 9:2907–19. doi: 10.1182/bloodadvances.2024014860
41. Fu W, Lei C, Liu S, Cui Y, Wang C, Qian K, et al. CAR exosomes derived from effector CAR-T cells have potent antitumour effects and low toxicity. Nat Commun. (2019) 10:4355. doi: 10.1038/s41467-019-12321-3
42. Ferrantelli F, Manfredi F, Donnini M, Leone P, Pugliese K, Olivetta E, et al. Extracellular vesicle-based anti-HOXB7 CD8+ T cell-specific vaccination strengthens antitumor effects induced by vaccination against Her2/neu. Cancer Gene Ther. (2024) 31:1688–95. doi: 10.1038/s41417-024-00831-2
43. Chao CJ, Zhang E, Trinh DN, Udofa E, Lin H, Silvers C, et al. Integrating antigen capturing nanoparticles and type 1 conventional dendritic cell therapy for in situ cancer immunization. Nat Commun. (2025) 16:4578. doi: 10.1038/s41467-025-59840-w
44. Li T, Chen G, Lin L, Li B, Wang X, Chen Y, et al. Manganese oxide-constructed multifunctional biomimetic nanovaccine for robust tumor-specific T cell priming and chemodynamic therapy. Biomaterials. (2024) 309:122626. doi: 10.1016/j.biomaterials.2024.122626
45. Jiang X, Wang J, Zheng X, Liu Z, Zhang X, Li Y, et al. Intratumoral administration of STING-activating nanovaccine enhances T cell immunotherapy. J Immunother Cancer. (2022) 10:e003960. doi: 10.1136/jitc-2021-003960
46. Li S, Luo M, Wang Z, Feng Q, Wilhelm J, Wang X, et al. Prolonged activation of innate immune pathways by a polyvalent STING agonist. Nat BioMed Eng. (2021) 5:455–66. doi: 10.1038/s41551-020-00675-9
47. Wehbe M, Wang-Bishop L, Becker KW, Shae D, Baljon JJ, He X, et al. Nanoparticle delivery improves the pharmacokinetic properties of cyclic dinucleotide STING agonists to open a therapeutic window for intravenous administration. J Control Release. (2021) 330:1118–29. doi: 10.1016/j.jconrel.2020.11.017
48. Chen X, Meng F, Xu Y, Li T, Chen X, Wang H, et al. Chemically programmed STING-activating nano-liposomal vesicles improve anticancer immunity. Nat Commun. (2023) 14:4584. doi: 10.1038/s41467-023-40312-y
49. Li X, Khorsandi S, Wang Y, Santelli J, Huntoon K, Nguyen N, et al. Cancer immunotherapy based on image-guided STING activation by nucleotide nanocomplex-decorated ultrasound microbubbles. Nat Nanotechnol. (2022) 17:891–9. doi: 10.1038/s41565-022-01134-z
50. Wang J, Wang X, Xiong Q, Gao S, Wang S, Zhu S, et al. A dual-STING-activating nanosystem expands cancer immunotherapeutic temporal window. Cell Rep Med. (2024) 5:101797. doi: 10.1016/j.xcrm.2024.101797
51. Wu Y, Diao P, Peng Y, Yang Y, Wang Y, Lv P, et al. A hybrid manganese nanoparticle simultaneously eliminates cancer stem cells and activates STING pathway to potentiate cancer immunotherapy. ACS Nano. (2025) 19:12237–52. doi: 10.1021/acsnano.5c00322
52. Li K, Yu X, Xu Y, Wang H, Liu Z, Wu C, et al. Cascaded immunotherapy with implantable dual-drug depots sequentially releasing STING agonists and apoptosis inducers. Nat Commun. (2025) 16:1629. doi: 10.1038/s41467-025-56407-7
53. Gong Y, Gao W, Zhang J, Dong X, Zhu D, Ma G, et al. Engineering nanoparticles-enabled tumor-associated macrophages repolarization and phagocytosis restoration for enhanced cancer immunotherapy. J Nanobiotechnol. (2024) 22:341. doi: 10.1186/s12951-024-02622-1
54. Cheng SL, Wu CH, Tsai YJ, Song JS, Chen HM, Yeh TK, et al. CXCR4 antagonist-loaded nanoparticles reprogram the tumor microenvironment and enhance immunotherapy in hepatocellular carcinoma. J Control Release. (2025) 379:967–81. doi: 10.1016/j.jconrel.2025.01.066
55. Yazdimamaghani M, Kolupaev OV, Lim C, Hwang D, Laurie SJ, Perou CM, et al. Tumor microenvironment immunomodulation by nanoformulated TLR 7/8 agonist and PI3k delta inhibitor enhances therapeutic benefits of radiotherapy. Biomaterials. (2025) 312:122750. doi: 10.1016/j.biomaterials.2024.122750
56. Zhang Y, Li Y, Xu Z, Xu L, Wang Y, Li N, et al. PPS-TLR7/8 agonist nanoparticles equip robust anticancer immunity by selectively prolonged activation of dendritic cells. Biomaterials. (2025) 316:123032. doi: 10.1016/j.biomaterials.2024.123032
57. Li JX, Shu N, Zhang YJ, Tong QS, Wang L, Zhang J, et al. Self-assembled nanoparticles from the amphiphilic prodrug of resiquimod for improved cancer immunotherapy. ACS Appl Mater Interfaces. (2024) 16:25665–75. doi: 10.1021/acsami.4c01563
58. Wang X, Hu S, Zhu D, Li J, Cheng K, Liu G, et al. Comparison of extruded cell nanovesicles and exosomes in their molecular cargos and regenerative potentials. Nano Res. (2023) 16:7248–59. doi: 10.1007/s12274-023-5374-3
59. Liu C, Zhang W, Li Y, Chang J, Tian F, Zhao F, et al. Microfluidic sonication to assemble exosome membrane-coated nanoparticles for immune evasion-mediated targeting. Nano Lett. (2019) 19:7836–44. doi: 10.1021/acs.nanolett.9b02841
60. Lee Y, Kim M, Ha J, and Lee M. Brain-targeted exosome-mimetic cell membrane nanovesicles with therapeutic oligonucleotides elicit anti-tumor effects in glioblastoma animal models. Bioeng Transl Med. (2022) 8:e10426. doi: 10.1002/btm2.10426
61. Tian R, Wang Z, Niu R, Wang H, Guan W, Chang J, et al. Tumor exosome mimicking nanoparticles for tumor combinatorial chemo-photothermal therapy. Front Bioeng Biotechnol. (2020) 8:1010. doi: 10.3389/fbioe.2020.01010
62. Hill ML, Chung SJ, Woo HJ, Park CR, Hadrick K, Nafiujjaman M, et al. Exosome-coated PRussian blue nanoparticles for specific targeting and treatment of glioblastoma. ACS Appl Mater Interfaces. (2024) 16:20286–301. doi: 10.1021/acsami.4c02364
63. Ye H, Wang K, Zhao J, Lu Q, Wang M, Sun B, et al. In situ sprayed nanovaccine suppressing exosomal PD-L1 by Golgi apparatus disorganization for postsurgical melanoma immunotherapy. ACS Nano. (2023) 17:10637–50. doi: 10.1021/acsnano.3c01733
64. Jang SC, Economides KD, Moniz RJ, Sia CL, Lewis N, McCoy C, et al. ExoSTING, an extracellular vesicle loaded with STING agonists, promotes tumor immune surveillance. Commun Biol. (2021) 4:497. doi: 10.1038/s42003-021-02004-5
65. Li L, He D, Guo Q, Zhang Z, Ru D, Wang L, et al. Exosome-liposome hybrid nanoparticle codelivery of TP and miR497 conspicuously overcomes chemoresistant ovarian cancer. J Nanobiotechnol. (2022) 20:50. doi: 10.1186/s12951-022-01264-5
66. Tong Q, Li K, Huang F, Dai Y, Zhang T, Muaibati M, et al. Extracellular vesicles hybrid plasmid-loaded lipid nanovesicles for synergistic cancer immunotherapy. Mater Today Bio. (2023) 23:100845. doi: 10.1016/j.mtbio.2023.100845
67. Zhuang M, Chen X, Du D, Shi J, Deng M, Long Q, et al. SPION decorated exosome delivery of TNF-α to cancer cell membranes through magnetism. Nanoscale. (2020) 12:173–88. doi: 10.1039/c9nr05865f
68. Zhu T, Xiao Y, Chen Z, Ding H, Chen S, Jiang G, et al. Inhalable nanovesicles loaded with a STING agonist enhance CAR-T cell activity against solid tumors in the lung. Nat Commun. (2025) 16:262. doi: 10.1038/s41467-024-55751-4
69. Fang RH, Kroll AV, Gao W, and Zhang L. Cell membrane coating nanotechnology. Adv Mater. (2018) 30:e1706759. doi: 10.1002/adma.201706759
70. Théry C, Witwer KW, Aikawa E, Alcaraz MJ, Anderson JD, Andriantsitohaina R, et al. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines. J Extracell Vesicles. (2018) 7:1535750. doi: 10.1080/20013078.2018.1535750
71. Choi B, Park W, Park SB, Rhim WK, and Han DK. Recent trends in cell membrane-cloaked nanoparticles for therapeutic applications. Methods. (2020) 177:2–14. doi: 10.1016/j.ymeth.2019.12.004
72. Welsh JA, Goberdhan DCI, O’Driscoll L, Buzas EI, Blenkiron C, Bussolati B, et al. Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches. J Extracell Vesicles. (2024) 13:e12404. doi: 10.1002/jev2.12404
73. Zeng Y, Li S, Zhang S, Wang L, Yuan H, Hu F, et al. Cell membrane coated-nanoparticles for cancer immunotherapy. Acta Pharm Sin B. (2022) 12:3233–54. doi: 10.1016/j.apsb.2022.02.023
74. Kamerkar S, LeBleu VS, Sugimoto H, Yang S, Ruivo CF, Melo SA, et al. Exosomes facilitate therapeutic targeting of oncogenic KRAS in pancreatic cancer. Nature. (2017) 546:498–503. doi: 10.1038/nature22341
75. Gao Y, Liu J, Wu M, Zhang Y, Wang M, Lyu Q, et al. Photosensitive hybrid γδ-T exosomes for targeted cancer photoimmunotherapy. ACS Nano. (2025) 19:4251–68. doi: 10.1021/acsnano.4c11024
76. Bao P, Gu HY, Ye JJ, He JL, Zhong Z, Yu AX, et al. Chimeric exosomes functionalized with STING activation for personalized glioblastoma immunotherapy. Adv Sci (Weinh). (2024) 11:e2306336. doi: 10.1002/advs.202306336
77. Wang J, Chen P, Dong Y, Xie H, Wang Y, Soto F, et al. Designer exosomes enabling tumor targeted efficient chemo/gene/photothermal therapy. Biomaterials. (2021) 276:121056. doi: 10.1016/j.biomaterials.2021.121056
78. Guo Y, Lv T, Li Z, Wei X, Yang C, Li W, et al. Acidity-activatable dynamic hybrid nanoplatforms derived from extracellular vesicles of M1 macrophages enhance cancer immunotherapy through synergistic triple immunotherapy. J Nanobiotechnol. (2024) 22:430. doi: 10.1186/s12951-024-02719-7
79. Liu Q, Fan T, Zheng Y, Yang SL, Yu Z, Duo Y, et al. Immunogenic exosome-encapsulated black phosphorus nanoparticles as an effective anticancer photo-nanovaccine. Nanoscale. (2020) 12:19939–52. doi: 10.1039/d0nr05953f
80. Zhu D, Duo Y, Suo M, Zhao Y, Xia L, Zheng Z, et al. Tumor-exocytosed exosome/aggregation-induced emission luminogen hybrid nanovesicles facilitate efficient tumor penetration and photodynamic therapy. Angew Chem Int Ed Engl. (2020) 59:13836–43. doi: 10.1002/anie.202003672
81. Cui J, Wang X, Li J, Zhu A, Du Y, Zeng W, et al. Immune exosomes loading self-assembled nanomicelles traverse the blood–brain barrier for chemo-immunotherapy against glioblastoma. ACS Nano. (2023). doi: 10.1021/acsnano.2c10219
82. Li D, Fan M, Wang H, Zhu Y, Yu B, Zhang P, et al. Facile synthesis of a hydrazone-based zinc(II) complex for ferroptosis-augmented sonodynamic therapy. Chem Sci. (2024) 15:10027–35. doi: 10.1039/d4sc02102a
83. Zhang C, Song J, Lou L, Qi X, Zhao L, Fan B, et al. Doxorubicin-loaded nanoparticle coated with endothelial cells-derived exosomes for immunogenic chemotherapy of glioblastoma. Bioeng Transl Med. (2020) 6:e10203. doi: 10.1002/btm2.10203
84. Zhang C, Wu Q, Gong Y, Qin Q, Han Q, Cheng Z, et al. Biomimetic exosomal vesicles loaded with siRNA improves antitumor immune responses by inhibiting the secretion of tumor-derived exosome PD-L1. Int Immunopharmacol. (2024) 129:111659. doi: 10.1016/j.intimp.2024.111659
85. Hu S, Ma J, Su C, Chen Y, Shu Y, Qi Z, et al. Engineered exosome-like nanovesicles suppress tumor growth by reprogramming tumor microenvironment and promoting tumor ferroptosis. Acta Biomater. (2021) 135:567–81. doi: 10.1016/j.actbio.2021.09.003
86. Li J, Li J, Peng Y, Du Y, Yang Z, Qi X, et al. Dendritic cell-derived exosomes loaded with neoantigen nanocomplexes for personalized cancer immunotherapy. J Control Release. (2023) 353:423–33. doi: 10.1016/j.jconrel.2022.11.053
87. Lv Q, Cheng L, Lu Y, Zhang X, Wang Y, Deng J, et al. Thermosensitive exosome-liposome hybrid nanoparticle-mediated chemoimmunotherapy for improved treatment of metastatic peritoneal cancer. Adv Sci (Weinh). (2020) 7:2000515. doi: 10.1002/advs.202000515
88. Adamus T, Hung CY, Yu C, Kang E, Hammad M, Flores L, et al. Glioma-targeted delivery of exosome-encapsulated antisense oligonucleotides using neural stem cells. Mol Ther Nucleic Acids. (2021) 27:611–20. doi: 10.1016/j.omtn.2021.12.029
89. Chen Y, Li X, Shang H, Sun Y, Wang C, Wang X, et al. Mechanism exploration of synergistic photo-immunotherapy strategy based on a novel exosome-like nanosystem for remodeling the immune microenvironment of HCC. Nano Converg. (2024) 11(1):31. doi: 10.1186/s40580-024-00441-6
90. Huang C, Zhang T, Li Y, Lyu M, Suo M, Xia L, et al. Type-I AIE photosensitizer triggered cascade catalysis system for tumor targeted therapy and postoperative recurrence suppression. Chem Eng J. (2022) 446:136381. doi: 10.1016/j.cej.2022.136381
91. Li J, Lu W, Yang Y, Xiang R, Ling Y, Yu C, et al. Hybrid nanomaterials for cancer immunotherapy. Adv Sci (Weinh). (2023) 10:e2204932. doi: 10.1002/advs.202204932
92. Gao Z, Wan D, Luo M, Wei X, et al. Application of nanomedicines in tumor immunotherapy. J Mol Cell Biol. (2025) 16:mjae055. doi: 10.1093/jmcb/mjae055
93. Kar R, Dhar R, Mukherjee S, Nag S, Gorai S, Mukerjee N, et al. Exosome-based smart drug delivery tool for cancer theranostics. ACS Biomater Sci Eng. (2023) 9:577–94. doi: 10.1021/acsbiomaterials.2c01329
94. Yue M, Hu S, Sun H, Tuo B, Jia B, Chen C, et al. Extracellular vesicles remodel tumor environment for cancer immunotherapy. Mol Cancer. (2023) 22:203. doi: 10.1186/s12943-023-01898-5
95. Fallatah MM, Alradwan I, Alfayez N, Aodah AH, Alkhrayef M, Majrashi M, et al. Nanoparticles for cancer immunotherapy: innovations and challenges. Pharm (Basel). (2025) 18:1086. doi: 10.3390/ph18081086
96. Nerdinger YG, Binder AK, Bremm F, Feuchter N, Schaft N, Dörrie J, et al. STINGing cancer: development, clinical application, and targeted delivery of STING agonists. Int J Mol Sci. (2025) 26:9008. doi: 10.3390/ijms26189008
97. Mohammadzadeh V, Atapour-Mashhad H, Shahvali S, Salehi B, Shaban M, Shirzad M, et al. Hydrogels as advanced drug delivery platforms for cancer immunotherapy: promising innovations and future outlook. J Nanobiotechnol. (2025) 23:545. doi: 10.1186/s12951-025-03613-6
98. Lian MQ, Chng WH, Liang J, Yeo HQ, Lee CK, Belaid M, et al. Plant-derived extracellular vesicles: Recent advancements and current challenges on their use for biomedical applications. J Extracell Vesicles. (2022) 11:e12283. doi: 10.1002/jev2.12283
99. Huang X, Ji M, Shang X, Zhang H, Zhang X, Zhou J, et al. Smart on-demand drug release strategies for cancer combination therapy. J Control Release. (2025) 383:113782. doi: 10.1016/j.jconrel.2025.113782
Keywords: exosomes, extracellular vesicles, nanomaterials, solid tumors, tumor immunity
Citation: Fang W, Qiu E, Liu R, Wang S, Wang T and Wang Y (2026) Exo-nanomaterials in cancer immunotherapy: reprogramming the tumor immune microenvironment. Front. Immunol. 16:1764525. doi: 10.3389/fimmu.2025.1764525
Received: 10 December 2025; Accepted: 29 December 2025; Revised: 28 December 2025;
Published: 19 January 2026.
Edited by:
Teruyoshi Sasayama, Kyushu University, JapanReviewed by:
Jun Long, Shenzhen University, ChinaCopyright © 2026 Fang, Qiu, Liu, Wang, Wang and Wang. 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: YuMing Wang, bDMzMDQwMTM3ODhAMTYzLmNvbQ==; TianFu Wang, d3RmZG11QDE2My5jb20=
†These authors have contributed equally to this work
EnDuo Qiu†