Your new experience awaits. Try the new design now and help us make it even better

MINI REVIEW article

Front. Immunol., 26 November 2025

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | https://doi.org/10.3389/fimmu.2025.1711415

This article is part of the Research TopicExploring immune low-response states through single-cell technologies and spatial transcriptomicsView all 33 articles

Integrating molecular targeting and immune modulation in triple-negative breast cancer: from mechanistic insights to therapeutic innovation

Yueren FanYueren FanHe WangHe WangHongyu ZhangHongyu ZhangTianfei MaTianfei MaYihang Zhao*Yihang Zhao*
  • Department of Breast Oncology II, Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital), Shenyang, Liaoning, China

Triple-negative breast cancer (TNBC) remains a clinically aggressive subtype of breast cancer, defined by the absence of estrogen receptor, progesterone receptor, and HER2 amplification, and disproportionately affecting younger and racially diverse populations. Despite conventional chemotherapy, TNBC patients often face poor prognoses due to the lack of actionable molecular targets and early metastatic potential. Advances in molecular profiling have unveiled distinct TNBC subtypes and actionable vulnerabilities, including BRCA1/2 mutations and PI3K/AKT/mTOR dysregulation. Therapies targeting DNA repair pathways, angiogenesis, and androgen receptor signaling—particularly via PARP inhibitors and antibody–drug conjugates like sacituzumab govitecan—have demonstrated clinical benefit. Concurrently, TNBC’s immunogenic nature, reflected in dense tumor-infiltrating lymphocytes (TILs), has driven the integration of immune checkpoint inhibitors. However, both primary and acquired resistance remain major barriers. This review delineates recent developments in targeted and immunotherapeutic strategies, emphasizing the role of TILs in shaping treatment response and highlighting combinatorial approaches that synergize molecular targeting with immunomodulation. Through a comprehensive understanding of TNBC’s molecular and immune landscape, we propose new therapeutic trajectories to improve clinical outcomes in this challenging malignancy.

1 Introduction

Breast cancer persists as the most frequently diagnosed malignancy among women on a global scale, with incidence rates demonstrating a consistent upward trend in recent years (1). Among its subtypes, triple-negative breast cancer (TNBC) accounts for approximately 15% of cases and is marked by unique epidemiological features, showing higher prevalence in younger, premenopausal women and specific racial minorities (1). The absence of actionable molecular targets, such as hormone receptors and HER2 amplification, renders endocrine therapy and anti-HER2 strategies largely ineffective (2, 3). Even when aggressive multimodal treatment is employed, patients with advanced TNBC face significantly worse survival outcomes compared to those with other breast cancer subtypes (4, 5). The current therapeutic impasse underscores the urgent demand for innovative interventions capable of improving prognosis in this biologically aggressive disease.

Comprehensive molecular profiling has uncovered the intrinsic heterogeneity of TNBC, leading to its subclassification into distinct molecular entities, including basal-like, mesenchymal-like, immunomodulatory, androgen receptor-positive, and HER2-enriched phenotypes, each governed by separate signaling mechanisms (68). Notably, TNBC exhibits heightened immunogenicity, as evidenced by the dense infiltration of tumor-infiltrating lymphocytes (TILs), providing a biological basis for the application of immune checkpoint inhibitors. Multiple clinical studies have demonstrated promising therapeutic responses to such immunomodulatory strategies (1). This review synthesizes recent advancements in molecularly tailored treatments and TIL-focused immunotherapies, with particular emphasis on their translational value and potential trajectories for future clinical development in TNBC.

2 Advances in molecularly oriented therapeutics

2.1 Intervening in DNA repair pathways and growth factor cascades

A subset of TNBC, approximately 15%, carry inherited mutations in the BRCA1 or BRCA2 genes, which disrupt the homologous recombination (HR) pathway and render tumor cells especially susceptible to agents inducing DNA damage (9). This molecular vulnerability has been clinically harnessed through the application of platinum-based drugs and poly (ADP-ribose) polymerase (PARP) inhibitors, which have demonstrated significant efficacy in BRCA-mutated TNBC populations (10, 11). The Phase II trial broadened the therapeutic scope by administering olaparib to patients with advanced TNBC characterized by homologous recombination deficiency (HRD) yet lacking germline BRCA1/2 mutations. The trial reported a clinical response rate of 50%, thereby supporting the extension of PARP inhibitor use to HRD-positive, BRCA-wild-type individuals (12). Beyond their genotoxic effects, PARP inhibitors contribute to immunogenic tumor remodeling. The accumulation of DNA damage promotes the release of neoantigens, thereby enhancing antigen uptake and presentation by dendritic cells, which subsequently activate T cells (13, 14). This cascade primes adaptive immune responses, increasing the cytotoxic potential of effector lymphocytes. Concurrently, the presence of unrepaired DNA fragments in the cytoplasm activates the cGAS–STING signaling axis, which functions as a sentinel for genomic perturbation (15). Under persistent genotoxic stress, PARP1 localizes to DNA lesions, facilitating cyclic GMP–AMP production by cGAS. This second messenger binds to and activates STING, leading to phosphorylation cascades involving IRF3 and NF-κB (16). As a result, type I interferons (notably IFN-β) and pro-inflammatory mediators such as TNF-α and IL-6 are transcriptionally upregulated, bolstering immune surveillance and anti-tumor responses (1719). Simultaneously, PARP inhibition increases MHC class I surface expression on malignant cells (20), thereby improving recognition by cytotoxic CD8+ T lymphocytes (2124). IFN-γ further amplifies this antigen-presenting capacity and stimulates effector immune cell infiltration within the tumor microenvironment (25, 26). DNA damage response pathways, including ATM and ATR signaling, are also activated and propagate downstream via CHK1 and CHK2, orchestrating cell cycle arrest and DNA repair mechanisms (2729). These pathways not only maintain genomic integrity but also modulate the immune landscape by influencing leukocyte recruitment and functionality, thus enhancing conditions conducive to T cell–mediated cytotoxicity (30). Furthermore, PARP-induced DNA lesions may drive phenotypic shifts in tumor-associated macrophages, promoting a transition from the immunosuppressive M2 phenotype toward the pro-inflammatory M1 subtype. This macrophage repolarization serves to reinforce anti-tumor immunity and contributes to tumor regression (31). Notably, increasing evidence supports the synergistic antitumor efficacy of combining PARP inhibitors with ICIs in TNBC. Preclinical models have shown that PARP inhibition enhances immune checkpoint blockade (ICB) efficacy by promoting neoantigen release, activating the cGAS–STING–IFN axis, and upregulating PD-L1 expression, thereby creating a more immunostimulatory tumor microenvironment (32, 33). In murine TNBC models, the combination of olaparib with anti–PD-L1 therapy led to improved tumor regression and increased infiltration of functional CD8+ T cells compared to either agent alone (34). These findings validate the mechanistic rationale and provide a clinical framework for the integration of PARP–ICI combinations in biomarker-defined TNBC subsets.

2.2 Angiogenesis and proliferative signaling pathways

TNBC is frequently characterized by pronounced overexpression of vascular endothelial growth factor (VEGF), a key driver of pathological neovascularization within tumors (35). Anti-angiogenic therapies, however, have shown only limited clinical success in this context (36, 37). A phase III clinical trial demonstrated that combining bevacizumab, a monoclonal antibody targeting VEGF, with standard chemotherapy resulted in a significant extension of progression-free survival compared to chemotherapy alone in patients with advanced TNBC, although this did not translate into a statistically significant improvement in overall survival (38). However, the limited survival benefit of anti-VEGF therapy in TNBC can be attributed to several factors. First, tumor angiogenesis is often mediated by multiple redundant pathways beyond VEGF alone, such as fibroblast growth factor (FGF) and angiopoietin signaling, which may compensate upon VEGF blockade (39). Second, adaptive resistance mechanisms—such as increased pericyte coverage, vessel co-option, and hypoxia-induced pro-invasive gene expression—may enable tumors to circumvent the anti-angiogenic effects (40). Third, the inherently immunosuppressive tumor microenvironment in TNBC, exacerbated by abnormal vasculature, can impair immune cell infiltration and blunt the potential synergy between anti-angiogenic and immunotherapeutic agents (41). These limitations highlight the need for rational combination strategies and biomarker-guided patient selection to optimize clinical outcomes. Despite this drawback, the therapeutic combination continues to be administered in select regions, where certain patient subpopulations derive measurable benefit (4244). In addition to antibody-based interventions, broad-spectrum tyrosine kinase inhibitors such as sunitinib—which concurrently inhibit VEGF and platelet-derived growth factor (PDGF) receptors—have shown efficacy in preclinical models by disrupting angiogenic signaling and reducing tumor mass (45). These agents are designed to remodel disorganized vasculature, thereby enhancing oxygen delivery and improving the penetration of co-administered treatments (46). Aberrant activation of the PI3K/AKT/mTOR signaling cascade represents another critical feature of TNBC, sustaining proliferative advantage, metabolic shifts, and resistance to programmed cell death (47, 48). Targeted blockade of this axis has yielded encouraging results; for instance, the mTOR inhibitor everolimus was found to suppress proliferation in basal-like TNBC cell cultures, and early-phase clinical investigations involving its combination with cytotoxic agents have achieved disease control in specific patient cohorts (49). Furthermore, advanced-generation inhibitors of PI3K and AKT are undergoing clinical trials, with the objective of enhancing therapeutic index while limiting adverse effects (5053). Nonetheless, due to the fundamental involvement of this signaling network in normal cellular function, careful stratification of patients and vigilant toxicity monitoring are indispensable for clinical translation.

2.3 Antibody–drug conjugates and androgen receptor

Antibody–drug conjugates (ADCs) represent a transformative class of therapeutics, coupling monoclonal antibody specificity with potent cytotoxic payloads. In TNBC, Trop-2 is overexpressed in >90% of tumors, rendering it a compelling target. Sacituzumab govitecan, comprising an anti–Trop-2 antibody linked to SN-38 (the active metabolite of irinotecan), induces DNA double-strand breaks and apoptosis in Trop-2+ cells (54). Phase II (IMMU-132-01) and phase III (ASCENT) trials demonstrated substantial efficacy and survival benefits in heavily pretreated metastatic TNBC cohorts (55). A distinct TNBC subset expresses androgen receptor (AR), enabling endocrine-targeted interventions (56). Enzalutamide, a first-generation AR antagonist, achieved a 35% clinical benefit rate in metastatic TNBC (57, 58). However, transient efficacy has prompted investigation of next-generation AR inhibitors (darolutamide, apalutamide), which exhibit superior preclinical activity and may synergize with chemotherapy or immune checkpoint inhibitors to suppress AR-driven signaling and overcome resistance (5961). Preclinical studies suggest that AR inhibition can reprogram the immunosuppressive tumor microenvironment, enhancing T cell cytotoxicity and potentiating ICI efficacy (62). Mechanistically, tumor-derived exosomal miR-205-3p downregulates AR, promoting epithelial–mesenchymal transition (EMT) and metastatic spread (6365), while C/EBPβ-mediated activation of kinesin family member C1 (KIFC1) drives EMT and invasiveness in AR+ TNBC (64, 66). Bidirectional crosstalk between AR and epidermal growth factor receptor (EGFR) pathways further implicates therapeutic synergy, suggesting that androgen deprivation therapy (ADT), established in prostate cancer, may offer utility in AR+ TNBC either concurrently or sequentially (6769). Collectively, these findings emphasize the clinical promise of AR-targeted interventions, especially when rationally combined with established or emerging agents, in refining therapeutic regimens for TNBC subtypes characterized by AR expression.

3 TILs and their clinical significance in TNBC

3.1 Immune cell landscape and evaluation strategies

TNBC is distinguished by a tumor microenvironment (TME) rich in infiltrating immune cells, collectively known as TILs (70, 71). These lymphocyte populations—comprising primarily T cells, along with B lymphocytes and natural killer (NK) cells—are located both within the malignant epithelial compartments and adjacent stromal zones, serving as key indicators of endogenous antitumor immune surveillance (72, 73). Compared to other breast cancer subtypes, TNBC exhibits the most substantial immune cell infiltration, reinforcing its classification as the most immunogenic form of breast malignancy (74). Clinically, an increased density of TILs has been associated with superior responses to chemotherapy and improved long-term outcomes. This relationship is particularly evident in the neoadjuvant setting, where elevated baseline TIL levels reliably forecast a higher likelihood of achieving pathological complete response (pCR) and extended survival (75, 76). Within this immunological context, T cells represent the dominant fraction, with CD8+ cytotoxic and CD4+ helper subsets comprising the majority of the lymphocytic infiltrate. CD8+ cytotoxic T lymphocytes (CTLs) represent the principal effector population mediating direct tumor cell lysis and are strongly associated with improved prognosis in TNBC (77). Conversely, CD4+ T helper cells exhibit context-dependent roles—Th1 cells secrete IFN-γ and bolster antitumor immunity, while Th2 and Th17 subsets may contribute to tumor inflammation and immune escape (78). Although less abundant, B lymphocytes are consistently detected and may contribute to the overall antitumor immune activity (79).

3.2 TILs in shaping immunotherapy outcomes

Despite the dense infiltration of TILs and elevated inflammatory gene expression that render TNBCs highly immunogenic (80, 81), a substantial subset of patients exhibits primary or acquired resistance to immune checkpoint inhibitors (82). A key driver of primary resistance is the downregulation of major histocompatibility complex class I (MHC-I), which impairs cytotoxic T lymphocyte (CTL) recognition and facilitates immune escape (8385), often via genetic alterations or cytokine-mediated pathways disrupting MHC-I regulation (86). Central to this regulation is the IFN-γ/JAK/STAT axis (8790), wherein prolonged activation paradoxically suppresses MHC-I expression, diminishing CD8+ T cell recognition (91, 92). To counteract this, epigenetic modulators such as histone deacetylase inhibitors (HDACis) and DNA methyltransferase inhibitors (DNMTis) have shown promise in restoring MHC-I transcription (93, 94), while exogenous type I and II interferons (IFN-α/β and IFN-γ) are under clinical evaluation for enhancing antigen presentation through JAK/STAT signaling (95, 96). These strategies may synergize with ICIs to re-enable tumor immune visibility. Acquired resistance frequently involves exclusion of effector T cells from tumor parenchyma, typifying immunologically “cold” tumors shielded by stromal barriers and immunoregulatory components (97, 98). In parallel, immunosuppressive infiltrates—most notably myeloid-derived suppressor cells (MDSCs) and M2-polarized tumor-associated macrophages (TAMs)—further attenuate immune efficacy (99102). MDSCs suppress T cell activation via reactive oxygen species (ROS) and cytokines such as IL-10 and TGF-β (103107). Mechanistically, ROS disrupt T cell receptor (TCR) signaling, impair IL-2 production, and nitrate the CD3ζ chain, compromising cytotoxic function (108). Concurrently, IL-10 impairs antigen-presenting cell (APC) activity and promotes M2 TAM polarization (109). Additionally, MDSC-expressed arginase-1 (ARG1) depletes extracellular L-arginine, arresting T cell proliferation and inducing anergy (110). These converging suppressive circuits—spanning impaired antigen presentation, T cell exclusion, and immunosuppressive cell accumulation—jointly reinforce immune resistance. This complex immunological crosstalk within the TNBC tumor microenvironment presents a major challenge for improving ICI efficacy and underscores the need for integrative therapeutic approaches (Figure 1).

Figure 1
Diagram illustrating the interplay between tumor cells, immunotherapy, and biomarkers. Key elements include PARP inhibitors, the cGAS-STING axis, and IFN-γ/JAK/STAT activation. TNBC cells undergo EMT and metastasis, influenced by AR and miR-205-3p. MHC I impacts antigen presentation activating CD8+ T cells. TIL-based immunotherapy includes ICIs and combinatorial approaches. Predictive biomarkers highlighted are TIL density and PD-L1 expression. Other terms include TAMs, MDSCs, and immunosuppressive TME.

Figure 1. Integrated molecular signaling and immune surveillance pathways in triple-negative breast cancer.

3.3 Synergistic approaches in immunotherapy combinations based on TIL

To overcome the inherent limitations of monotherapeutic approaches, increasing attention has shifted toward combinatorial immunotherapy frameworks. Among the most thoroughly validated regimens is the co-administration of ICIs alongside conventional chemotherapy (111). Cytotoxic agents can provoke immunogenic forms of tumor cell death, facilitating the release of tumor-associated antigens, which in turn activates antigen-presenting cells such as dendritic cells, triggers T-cell priming, and heightens tumor immunogenicity (112, 113). This cascade of immune activation forms the mechanistic basis for the clinical efficacy observed in trials assessing chemo-immunotherapy combinations. A landmark Phase III trial, KEYNOTE-522, illustrated that incorporating pembrolizumab with neoadjuvant chemotherapy substantially enhanced both pCR and event-free survival (EFS) in early-stage, high-risk TNBC patients. These benefits were sustained regardless of whether pembrolizumab was continued postoperatively or confined to the neoadjuvant setting, underscoring the synergistic potential of PD-1 inhibition in this context (114). Reinforcing these findings, an open-label Phase II study (NCT03639948) confirmed that combining pembrolizumab with an anthracycline-based chemotherapeutic backbone yielded superior pCR rates and extended EFS in individuals with TNBC, thereby validating the therapeutic contribution of checkpoint blockade (115).

In addition to chemotherapy, a broad array of adjunctive strategies is under active clinical exploration. Dual immune checkpoint inhibition, which has shown additive or synergistic effects in other immunogenic tumors, is currently being evaluated in TNBC cohorts (116, 117). Radiotherapy represents another complementary modality; apart from directly inducing tumor cell death, it reshapes the immune landscape by promoting cross-presentation of antigens and depleting immunosuppressive cell subsets (118, 119). Furthermore, co-targeting DNA damage repair pathways through poly (ADP-ribose) polymerase (PARP) inhibition in combination with ICIs offers a dual mechanism: destabilizing the tumor genome while concurrently enhancing immune visibility (120, 121). Emerging avenues also involve personalized neoantigen-based vaccines aimed at activating CD8+ T cells with tumor specificity, as well as adoptive immunotherapies including infusion of TILs and chimeric antigen receptor T (CAR-T) cells approaches designed to expand and diversify the cytotoxic immune repertoire (122124). When integrated with checkpoint inhibitors, these interventions hold potential to overcome both intrinsic and adaptive resistance mechanisms that diminish the efficacy of monotherapies (125). Nevertheless, the enhanced efficacy achieved through combination regimens must be weighed against the increased risk of toxicity. Overlapping adverse effects, particularly immune-related toxicities (irAEs), necessitate careful dosing strategies and stringent clinical monitoring (126). Going forward, clinical trial designs should prioritize biomarker-guided patient stratification and evidence-based sequencing strategies to optimize therapeutic efficacy while maintaining drug tolerability (Supplementary Table S1).

3.4 Tumor-infiltrating lymphocytes: pivotal biomarkers for immunotherapeutic outcomes in TNBC

As immunotherapy gains prominence in TNBC, identifying reliable biomarkers to guide therapeutic stratification remains a critical priority. Although ICB has reshaped clinical paradigms, patient responses remain heterogeneous, underscoring the limitations of current predictors. Programmed death-ligand 1 (PD-L1) is widely used, yet variability in detection methods, scoring thresholds, and cellular compartments analyzed complicates standardization and cross-trial comparison (127, 128). TILs, strongly correlated with ICB benefit in immunogenic tumors, have emerged as robust prognostic markers. Integrative models combining TIL quantification and PD-L1 expression offer enhanced predictive resolution. Concurrently, tumor mutational burden (TMB) and microsatellite instability (MSI) are gaining traction as surrogate indicators of immune responsiveness (129). Elevated TMB is hypothesized to increase neoantigen load, thereby enhancing immune system visibility, while MSI-high status, previously validated in other malignancies as predictive of ICB sensitivity, may also define responsive TNBC subgroups. The immunological architecture of TNBC is increasingly understood to be modulated by emerging inhibitory receptors, including LAG-3, TIM-3, TIGIT, and VISTA, which collectively orchestrate immune evasion (130132). These co-inhibitory molecules are frequently co-expressed with PD-1 on dysfunctional T cells, exerting suppressive effects within the TME (133, 134). Notably, LAG-3 blockade has demonstrated efficacy in melanoma, prompting investigation in breast cancer. TIM-3 and TIGIT impair CD8+ T cell cytotoxicity and contribute to resistance in immunologically “cold” tumors (135). The TIGIT/CD155 axis in particular has been implicated in metabolic suppression of CD8+ T cells via PI3K/AKT/mTOR signaling (132). VISTA, expressed on myeloid and dendritic cell subsets, exerts broad immunoregulatory effects. Its inhibition reprograms tumor-associated macrophages toward pro-inflammatory phenotypes, enhances CD8+ T cell infiltration, and amplifies effector responses (136). These mechanistic insights underscore the therapeutic rationale for combining next-generation checkpoint inhibitors with existing immunotherapies to overcome resistance. Optimizing TNBC treatment will require comprehensive immune profiling strategies that integrate TIL density, PD-L1 status, TMB, and emerging immunogenomic markers. A deeper understanding of immune escape pathways will inform rational design of combination regimens and accelerate precision immunotherapy. The strategic incorporation of immune modulators, such as bispecific antibodies and engineered cell therapies, into current frameworks holds substantial promise for improving clinical outcomes in TNBC (137, 138).

4 Conclusion

TNBC presents a major therapeutic challenge due to its aggressive biology, absence of hormone receptors, and pronounced heterogeneity. Recent molecular insights, such as DNA repair defects, PI3K/AKT/mTOR dysregulation, and androgen receptor expression, have reshaped therapeutic strategies. Targeted agents including PARP inhibitors and ADCs demonstrate efficacy in biomarker-defined subsets, while combinatorial approaches aim to overcome resistance and extend response durability. Angiogenesis modulation and intracellular pathway blockade offer additional avenues for precision therapy, contingent upon rational molecular stratification. Concurrently, TNBC’s immunogenic landscape, typified by abundant TILs and immune checkpoint expression, supports the integration of immunotherapies. However, resistance, driven by defective antigen presentation, T cell exclusion, and immunosuppressive infiltrates, necessitates combination strategies. Synergistic regimens combining immune checkpoint inhibitors with chemotherapy, radiotherapy, PARP inhibition, or emerging modulators hold potential to reshape the tumor microenvironment and augment cytotoxic immunity. Biomarker-guided immunotherapy, leveraging TIL density, PD-L1 status, TMB, and next-generation targets such as LAG-3 and TIGIT, is crucial to patient selection. Future research should emphasize rational treatment sequencing and toxicity mitigation in combination regimens. Additionally, dynamic biomarker platforms, including longitudinal immune profiling and spatial transcriptomics, may refine therapeutic timing and responsiveness. Integrative innovations such as next-generation ADCs, bispecific antibodies, and engineered cellular therapies (such as TILs and CAR-T) offer a path to consolidating targeted and immune-based modalities. Together, these evolving paradigms chart a path toward transforming TNBC into a model for immunogenomic precision oncology.

Author contributions

YF: Writing – original draft. HW: Writing – original draft. HZ: Writing – original draft. TM: Writing – original draft. YZ: Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

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.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2025.1711415/full#supplementary-material

References

1. Finkelman BS, Zhang H, Hicks DG, Rimm DL, and Turner BM. Tumor infiltrating lymphocytes in breast cancer: A narrative review with focus on analytic validity, clinical validity, and clinical utility. Hum Pathol. (2025) 162:105866. doi: 10.1016/j.humpath.2025.105866

PubMed Abstract | Crossref Full Text | Google Scholar

2. Idamakanti M, Bijjam RI, Kumar M, and Mukkamalla SK. Long durable response with trastuzumab deruxtecan monotherapy in a triple-negative metastatic breast cancer patient with human epidermal growth factor receptor 2 mutation: A long-term follow-up and literature review. J Med cases. (2025) 16:212–21. doi: 10.14740/jmc5136

PubMed Abstract | Crossref Full Text | Google Scholar

3. Cheng TC, Hung MC, Wang LH, Tu SH, Wu CH, Yen Y, et al. Histamine N-methyltransferase (HNMT) as a potential auxiliary biomarker for predicting adaptability to anti-HER2 drug treatment in breast cancer patients. biomark Res. (2025) 13:7. doi: 10.1186/s40364-024-00715-5

PubMed Abstract | Crossref Full Text | Google Scholar

4. Wang CQ, Shao JK, Wang Y, Lu SP, Jiang LJ, Du ZQ, et al. Expression of Insulin-like growth factor 2 mRNA-binding protein 3 and its diagnostic value in breast cancer. Front Oncol. (2025) 15:1624870. doi: 10.3389/fonc.2025.1624870

PubMed Abstract | Crossref Full Text | Google Scholar

5. Zhang T and Lu X. Preoperative inflammatory status as a positive prognostic factor for triple-negative breast cancer patients receiving neoadjuvant therapy. Med (Baltimore). (2025) 104:e42208. doi: 10.1097/MD.0000000000042208

PubMed Abstract | Crossref Full Text | Google Scholar

6. Uchida N, Takeshita M, Suda T, Matsui Y, and Yoshida M. HER2-positive breast cancer in a germline BRCA1 gene large deletion carrier. Int Cancer Conf J. (2021) 10:181–5. doi: 10.1007/s13691-021-00481-3

PubMed Abstract | Crossref Full Text | Google Scholar

7. Zeng Y, Liu R, and Rong L. Predictive value of androgen receptor in distant metastasis of triple-negative breast cancer: a retrospective multi-center study. BMC Cancer. (2025) 25:1115. doi: 10.1186/s12885-025-14422-3

PubMed Abstract | Crossref Full Text | Google Scholar

8. Mishra SD, Mendonca P, Kaur S, and Soliman KFA. Silibinin anticancer effects through the modulation of the tumor immune microenvironment in triple-negative breast cancer. Int J Mol Sci. (2025) 26:6265. doi: 10.3390/ijms26136265

PubMed Abstract | Crossref Full Text | Google Scholar

9. Agelidis A, Ter-Zakarian A, and Jaloudi M. Triple-negative breast cancer on the rise: breakthroughs and beyond. Breast Cancer (Dove Med Press). (2025) 17:523–9. doi: 10.2147/BCTT.S516125

PubMed Abstract | Crossref Full Text | Google Scholar

10. Li Y, Xu G, Zhang L, Zhao K, Zhao Y, and Han D. Multiple drug resistance caused by germline mutation of exon 27 of BRCA2 gene in triple-negative breast cancer: a case report and literature review. Front Oncol. (2025) 15:1602870. doi: 10.3389/fonc.2025.1602870

PubMed Abstract | Crossref Full Text | Google Scholar

11. Wang CC, Duan J, Mao ND, He M, Zhang PP, Yuan Y, et al. A novel PARP-ATR dual inhibitor exhibits anti-triple-negative breast cancer activity by inducing excessive DNA damage in the mitotic phase. Biochem Pharmacol. (2025) 241:117160. doi: 10.1016/j.bcp.2025.117160

PubMed Abstract | Crossref Full Text | Google Scholar

12. Cortés A, López-Miranda E, Fernández-Ortega A, Carañana V, Servitja S, Urruticoechea A, et al. Olaparib monotherapy in advanced triple-negative breast cancer patients with homologous recombination deficiency and without germline mutations in BRCA1/2: The NOBROLA phase 2 study. Breast. (2024) 78:103834. doi: 10.1016/j.breast.2024.103834

PubMed Abstract | Crossref Full Text | Google Scholar

13. Zhu S, Sun C, Cai Z, Wu J, Han X, Wang J, et al. Multifunctional nanoparticle-mediated targeting of metabolic reprogramming and DNA damage response pathways to treat drug-resistant triple-negative breast cancer. J Control Release. (2025) 381:113601. doi: 10.1016/j.jconrel.2025.113601

PubMed Abstract | Crossref Full Text | Google Scholar

14. Sabit H, Adel A, Abdelfattah MM, Ramadan RM, Nazih M, Abdel-Ghany S, et al. The role of tumor microenvironment and immune cell crosstalk in triple-negative breast cancer (TNBC): Emerging therapeutic opportunities. Cancer Lett. (2025) 628:217865. doi: 10.1016/j.canlet.2025.217865

PubMed Abstract | Crossref Full Text | Google Scholar

15. Pedretti F, Abdalfttah M, Pellegrino B, Mateo F, Martínez-Sanz P, Herencia-Ropero A, et al. Harnessing STING signaling and natural killer cells overcomes PARP inhibitor resistance in homologous recombination-deficient breast cancer. Cancer Res. (2025) 85:1888–908. doi: 10.1158/0008-5472.CAN-24-2531

PubMed Abstract | Crossref Full Text | Google Scholar

16. Guo H, Han Y, Yao S, Chen B, Zhao H, Jia J, et al. Decrotonylation of cGAS K254 prompts homologous recombination repair by blocking its DNA binding and releasing PARP1. J Biol Chem. (2024) 300:107554. doi: 10.1016/j.jbc.2024.107554

PubMed Abstract | Crossref Full Text | Google Scholar

17. Wang S, Wu Y, Zong W, and Wang ZQ. Yin-Yang” of PARP1 in genotoxic and inflammatory response. DNA Repair (Amst). (2025) 152:103858. doi: 10.1016/j.dnarep.2025.103858

PubMed Abstract | Crossref Full Text | Google Scholar

18. Shen M, Jiang X, Peng Q, Oyang L, Ren Z, Wang J, et al. The cGAS–STING pathway in cancer immunity: mechanisms, challenges, and therapeutic implications. J Hematol Oncol. (2025) 18:40. doi: 10.1186/s13045-025-01691-5

PubMed Abstract | Crossref Full Text | Google Scholar

19. Wang X, Yang Y, Wang P, Li Q, Gao W, Sun Y, et al. Oxygen self-supplying nanoradiosensitizer activates cGAS-STING pathway to enhance radioimmunotherapy of triple negative breast cancer. J Control Release. (2024) 376:794–805. doi: 10.1016/j.jconrel.2024.10.049

PubMed Abstract | Crossref Full Text | Google Scholar

20. Juncheng P, Joseph A, Lafarge A, Martins I, Obrist F, Pol J, et al. Cancer cell-autonomous overactivation of PARP1 compromises immunosurveillance in non-small cell lung cancer. J Immunother Cancer. (2022) 10:e004280. doi: 10.1136/jitc-2021-004280

PubMed Abstract | Crossref Full Text | Google Scholar

21. Taylor BC, Sun X, Gonzalez-Ericsson PI, Sanchez V, Sanders ME, Wescott EC, et al. NKG2A is a therapeutic vulnerability in immunotherapy resistant MHC-I heterogeneous triple-negative breast cancer. Cancer Discov. (2024) 14:290–307. doi: 10.1158/2159-8290.CD-23-0519

PubMed Abstract | Crossref Full Text | Google Scholar

22. Tay ASS, Amano T, Edwards LA, and Yu JS. CD133 mRNA-transfected dendritic cells induce coordinated cytotoxic and helper T cell responses against breast cancer stem cells. Mol Ther Oncolytics. (2021) 22:64–71. doi: 10.1016/j.omto.2021.05.006

PubMed Abstract | Crossref Full Text | Google Scholar

23. Xu S, Chen Z, Chen X, Chu H, Huang X, Chen C, et al. Interplay of disulfidptosis and the tumor microenvironment across cancers: implications for prognosis and therapeutic responses. BMC Cancer. (2025) 25:1113. doi: 10.1186/s12885-025-14246-1

PubMed Abstract | Crossref Full Text | Google Scholar

24. Xie H, Xi X, Lei T, Liu H, and Xia Z. CD8(+) T cell exhaustion in the tumor microenvironment of breast cancer. Front Immunol. (2024) 15:1507283. doi: 10.3389/fimmu.2024.1507283

PubMed Abstract | Crossref Full Text | Google Scholar

25. Zhao MZ, Zheng HC, Sun Y, Jiang XF, Liu L, Dang CY, et al. IFN-γ downregulates miR-4319 to enhance NLRC5 and MHC-I expression in MHC-I-deficient breast cancer cells. Cancer Biol Ther. (2025) 26:2523621. doi: 10.1080/15384047.2025.2523621

PubMed Abstract | Crossref Full Text | Google Scholar

26. Xu S, Liang J, Shen T, Zhang D, and Lu Z. Causal links between immune cells and asthma: Insights from a Mendelian Randomization analysis. J Asthma. (2025) 62:346–53. doi: 10.1080/02770903.2024.2403740

PubMed Abstract | Crossref Full Text | Google Scholar

27. Fernandez A, Artola M, Leon S, Otegui N, Jimeno A, Serrano D, et al. Cancer vulnerabilities through targeting the ATR/chk1 and ATM/chk2 axes in the context of DNA damage. Cells. (2025) 14:748. doi: 10.3390/cells14100748

PubMed Abstract | Crossref Full Text | Google Scholar

28. Wang MJ, Xia Y, and Gao QL. DNA damage-driven inflammatory cytokines: reprogramming of tumor immune microenvironment and application of oncotherapy. Curr Med Sci. (2024) 44:261–72. doi: 10.1007/s11596-024-2859-1

PubMed Abstract | Crossref Full Text | Google Scholar

29. Hamaya S, Fujihara S, Iwama H, Fujita K, Shi T, Nakabayashi R, et al. Characterization of cisplatin effects in lenvatinib-resistant hepatocellular carcinoma cells. Anticancer Res. (2022) 42:1263–75. doi: 10.21873/anticanres.15593

PubMed Abstract | Crossref Full Text | Google Scholar

30. Zhang L, Wang Y, Qiao R, Zhang Y, Qiang H, Du H, et al. Synthetic lethal co-mutations in DNA damage response pathways predict response to immunotherapy in pan-cancer. JCO Precis Oncol. (2025) 9:e2500035. doi: 10.1200/PO-25-00035

PubMed Abstract | Crossref Full Text | Google Scholar

31. Du Q, Ning N, Zhao X, Liu F, Zhang S, Xia Y, et al. Acylglycerol kinase inhibits macrophage anti-tumor activity via limiting mtDNA release and cGAS-STING-type I IFN response. Theranostics. (2025) 15:1304–19. doi: 10.7150/thno.101298

PubMed Abstract | Crossref Full Text | Google Scholar

32. Li A, Yi M, Qin S, Chu Q, Luo S, and Wu K. Prospects for combining immune checkpoint blockade with PARP inhibition. J Hematol Oncol. (2019) 12:98. doi: 10.1186/s13045-019-0784-8

PubMed Abstract | Crossref Full Text | Google Scholar

33. Franzese O and Graziani G. Role of PARP inhibitors in cancer immunotherapy: potential friends to immune activating molecules and foes to immune checkpoints. Cancers (Basel). (2022) 14:5633. doi: 10.3390/cancers14225633

PubMed Abstract | Crossref Full Text | Google Scholar

34. Staniszewska AD, Armenia J, King M, Michaloglou C, Reddy A, Singh M, et al. PARP inhibition is a modulator of anti-tumor immune response in BRCA-deficient tumors. Oncoimmunology. (2022) 11:2083755. doi: 10.1080/2162402X.2022.2083755

PubMed Abstract | Crossref Full Text | Google Scholar

35. Li Y, Zhang MZ, Zhang SJ, Sun X, Zhou C, Li J, et al. HIF-1α inhibitor YC-1 suppresses triple-negative breast cancer growth and angiogenesis by targeting PlGF/VEGFR1-induced macrophage polarization. BioMed Pharmacother. (2023) 161:114423. doi: 10.1016/j.biopha.2023.114423

PubMed Abstract | Crossref Full Text | Google Scholar

36. Xu R, Guo S, Song Q, Wang X, and Li Q. PD-1/PD-L1 inhibitors combined with anti-angiogenic drugs for advanced triple-negative breast cancer: Synergistic mechanisms and research progress. Crit Rev Oncol Hematol. (2025) 211:104740. doi: 10.1016/j.critrevonc.2025.104740

PubMed Abstract | Crossref Full Text | Google Scholar

37. Gu Y, Tang T, Qiu M, Wang H, Ampofo E, Menger MD, et al. Clioquinol inhibits angiogenesis by promoting VEGFR2 degradation and synergizes with AKT inhibition to suppress triple-negative breast cancer vascularization. Angiogenesis. (2025) 28:13. doi: 10.1007/s10456-024-09965-1

PubMed Abstract | Crossref Full Text | Google Scholar

38. Yadav BS, Sharma SC, Chanana P, and Jhamb S. Systemic treatment strategies for triple-negative breast cancer. World J Clin Oncol. (2014) 5:125–33. doi: 10.5306/wjco.v5.i2.125

PubMed Abstract | Crossref Full Text | Google Scholar

39. Liu ZL, Chen HH, Zheng LL, Sun LP, and Shi L. Angiogenic signaling pathways and anti-angiogenic therapy for cancer. Signal Transduct Target Ther. (2023) 8:198. doi: 10.1038/s41392-023-01460-1

PubMed Abstract | Crossref Full Text | Google Scholar

40. Haibe Y, Kreidieh M, El Hajj H, Khalifeh I, Mukherji D, Temraz S, et al. Resistance mechanisms to anti-angiogenic therapies in cancer. Front Oncol. (2020) 10:221. doi: 10.3389/fonc.2020.00221

PubMed Abstract | Crossref Full Text | Google Scholar

41. Chen W, Shen L, Jiang J, Zhang L, Zhang Z, Pan J, et al. Antiangiogenic therapy reverses the immunosuppressive breast cancer microenvironment. biomark Res. (2021) 9:59. doi: 10.1186/s40364-021-00312-w

PubMed Abstract | Crossref Full Text | Google Scholar

42. Chen M, Huang R, Rong Q, Yang W, Shen X, Sun Q, et al. Bevacizumab, tislelizumab and nab-paclitaxel for previously untreated metastatic triple-negative breast cancer: a phase II trial. J Immunother Cancer. (2025) 13:e011314. doi: 10.1136/jitc-2024-011314

PubMed Abstract | Crossref Full Text | Google Scholar

43. Abuhadra N, Sun R, Bassett RL Jr., Huo L, Chang JT, Teshome M, et al. Targeting chemotherapy resistance in mesenchymal triple-negative breast cancer: a phase II trial of neoadjuvant angiogenic and mTOR inhibition with chemotherapy. Invest New Drugs. (2023) 41:391–401. doi: 10.1007/s10637-023-01357-4

PubMed Abstract | Crossref Full Text | Google Scholar

44. Leonard S, Jones AN, Newman L, Chavez-MacGregor M, Freedman RA, Mayer EL, et al. Racial disparities in outcomes of patients with stage I-III triple-negative breast cancer after adjuvant chemotherapy: a post-hoc analysis of the E5103 randomized trial. Breast Cancer Res Treat. (2024) 206:185–93. doi: 10.1007/s10549-024-07308-8

PubMed Abstract | Crossref Full Text | Google Scholar

45. Qin T, Xu X, Zhang Z, Li J, You X, Guo H, et al. Paclitaxel/sunitinib-loaded micelles promote an antitumor response in vitro through synergistic immunogenic cell death for triple-negative breast cancer. Nanotechnology. (2020) 31:365101. doi: 10.1088/1361-6528/ab94dc

PubMed Abstract | Crossref Full Text | Google Scholar

46. Ma X, Cao D, Zhang Y, Ding X, Hu Z, and Wang J. Apatinib combined with paclitaxel suppresses synergistically TNBC progression through enhancing ferroptosis susceptibility regulated SLC7A11/GPX4/ACSL4 axis. Cell Signal. (2025) 131:111760. doi: 10.1016/j.cellsig.2025.111760

PubMed Abstract | Crossref Full Text | Google Scholar

47. Hassan A and Aubel C. The PI3K/akt/mTOR signaling pathway in triple-negative breast cancer: A resistance pathway and a prime target for targeted therapies. Cancers (Basel). (2025) 17:2232. doi: 10.3390/cancers17132232

PubMed Abstract | Crossref Full Text | Google Scholar

48. Yuan L, Bao Y, Liu J, and Sun P. STEAP3 promotes triple-negative breast cancer growth through the FGFR1-mediated activation of PI3K/AKT/mTOR signaling. iScience. (2025) 28:112526. doi: 10.1016/j.isci.2025.112526

PubMed Abstract | Crossref Full Text | Google Scholar

49. Sahoo S, Kumari S, Neeli PK, Pulipaka S, Kuncha M, Chandra Y, et al. MTDHΔ7-mediated mTOR activation drives doxorubicin resistance in triple-negative breast cancer: Relevance of mTORC1 inhibition on chemosensitization. Cell Signal. (2025) 132:111864. doi: 10.1016/j.cellsig.2025.111864

PubMed Abstract | Crossref Full Text | Google Scholar

50. Herzog TJ, Liao JB, Finkelstein K, Willmott L, Duan W, Moroney JW, et al. An open-label randomized active-controlled phase II clinical study to assess the efficacy and safety of afuresertib plus paclitaxel versus paclitaxel in patients with platinum-resistant ovarian cancer (PROFECTA-II/GOG-3044). Gynecol Oncol. (2025) 194:145–52. doi: 10.1016/j.ygyno.2025.03.001

PubMed Abstract | Crossref Full Text | Google Scholar

51. Yin Y, Xu H, He L, Brown JR, Mato AR, Aittokallio T, et al. Protein profiles predict treatment responses to the PI3K inhibitor umbralisib in patients with chronic lymphocytic leukemia. Clin Cancer Res. (2025) 31:1943–55. doi: 10.1158/1078-0432.CCR-24-2911

PubMed Abstract | Crossref Full Text | Google Scholar

52. Zhai X, Xia Z, Du G, Zhang X, Xia T, Ma D, et al. LRP1B suppresses HCC progression through the NCSTN/PI3K/AKT signaling axis and affects doxorubicin resistance. Genes Dis. (2023) 10:2082–96. doi: 10.1016/j.gendis.2022.10.021

PubMed Abstract | Crossref Full Text | Google Scholar

53. Li Z, Zhou H, Xia Z, Xia T, Du G, Franziska SD, et al. HMGA1 augments palbociclib efficacy via PI3K/mTOR signaling in intrahepatic cholangiocarcinoma. biomark Res. (2023) 11:33. doi: 10.1186/s40364-023-00473-w

PubMed Abstract | Crossref Full Text | Google Scholar

54. Shimizu T, Sands J, Yoh K, Spira A, Garon EB, Kitazono S, et al. First-in-human, phase I dose-escalation and dose-expansion study of trophoblast cell-surface antigen 2-directed antibody-drug conjugate datopotamab deruxtecan in non-small-cell lung cancer: TROPION-panTumor01. J Clin Oncol. (2023) 41:4678–87. doi: 10.1200/JCO.23.00059

PubMed Abstract | Crossref Full Text | Google Scholar

55. Cortes J, Rugo HS, Cescon DW, Im SA, Yusof MM, Gallardo C, et al. Pembrolizumab plus chemotherapy in advanced triple-negative breast cancer. N Engl J Med. (2022) 387:217–26. doi: 10.1056/NEJMoa2202809

PubMed Abstract | Crossref Full Text | Google Scholar

56. Dogra A, Krishna V, Doval DC, and Mehta A. Androgen receptor expression in triple negative breast cancer: A report from a tertiary care center. J Cancer Res Ther. (2025) 21:551–7. doi: 10.4103/jcrt.jcrt_461_24

PubMed Abstract | Crossref Full Text | Google Scholar

57. Shenderov E, Boudadi K, Fu W, Wang H, Sullivan R, Jordan A, et al. Nivolumab plus ipilimumab, with or without enzalutamide, in AR-V7-expressing metastatic castration-resistant prostate cancer: A phase-2 nonrandomized clinical trial. Prostate. (2021) 81:326–38. doi: 10.1002/pros.24110

PubMed Abstract | Crossref Full Text | Google Scholar

58. McGhan LJ, McCullough AE, Protheroe CA, Dueck AC, Lee JJ, Nunez-Nateras R, et al. Androgen receptor-positive triple negative breast cancer: a unique breast cancer subtype. Ann Surg Oncol. (2014) 21:361–7. doi: 10.1245/s10434-013-3260-7

PubMed Abstract | Crossref Full Text | Google Scholar

59. Chesner LN, Polesso F, Graff JN, Hawley JE, Smith AK, Lundberg A, et al. Androgen receptor inhibition increases MHC class I expression and improves immune response in prostate cancer. Cancer Discov. (2025) 15:481–94. doi: 10.1158/2159-8290.CD-24-0559

PubMed Abstract | Crossref Full Text | Google Scholar

60. He Y, Xu W, Xiao YT, Huang H, Gu D, and Ren S. Targeting signaling pathways in prostate cancer: mechanisms and clinical trials. Signal Transduct Target Ther. (2022) 7:198. doi: 10.1038/s41392-022-01042-7

PubMed Abstract | Crossref Full Text | Google Scholar

61. Hawley JE, Obradovic AZ, Dallos MC, Lim EA, Runcie K, Ager CR, et al. Anti-PD-1 immunotherapy with androgen deprivation therapy induces robust immune infiltration in metastatic castration-sensitive prostate cancer. Cancer Cell. (2023) 41:1972–1988.e1975. doi: 10.1016/j.ccell.2023.10.006

PubMed Abstract | Crossref Full Text | Google Scholar

62. Ding W, Liu S, Liu W, Zhang Z, Zhao J, Zhang X, et al. Chirality-guided optimization of A(2A) adenosine receptor antagonists for enhanced metabolic stability and antitumor efficacy. J Med Chem. (2025) 68:14962–80. doi: 10.1021/acs.jmedchem.5c01141

PubMed Abstract | Crossref Full Text | Google Scholar

63. You CP, Tsoi H, Man EPS, Leung MH, and Khoo US. Modulating the activity of androgen receptor for treating breast cancer. Int J Mol Sci. (2022) 23:15342. doi: 10.3390/ijms232315342

PubMed Abstract | Crossref Full Text | Google Scholar

64. Joshi S, Garlapati C, Nguyen T, Sharma S, Chandrashekar DS, Bhattarai S, et al. C/EBPβ increases tumor aggressiveness by enhancing KIFC1 expression in androgen receptor negative triple negative breast cancer. Cell Commun Signal. (2025) 23:255. doi: 10.1186/s12964-025-02243-7

PubMed Abstract | Crossref Full Text | Google Scholar

65. Ahram M, Abu Alragheb B, Abushukair H, Bawadi R, and Al-Hussaini M. MicroRNAs associated with androgen receptor and metastasis in triple-negative breast cancer. Cancers (Basel). (2024) 16:665. doi: 10.3390/cancers16030665

PubMed Abstract | Crossref Full Text | Google Scholar

66. Dai C and Ellisen LW. Revisiting androgen receptor signaling in breast cancer. Oncologist. (2023) 28:383–91. doi: 10.1093/oncolo/oyad049

PubMed Abstract | Crossref Full Text | Google Scholar

67. Forooshani MK, Scarpitta R, Fanelli GN, Miccoli M, Naccarato AG, and Scatena C. Is it time to consider the androgen receptor as a therapeutic target in breast cancer? Anticancer Agents Med Chem. (2022) 22:775–86. doi: 10.2174/1871520621666211201150818

PubMed Abstract | Crossref Full Text | Google Scholar

68. Fizazi K, Foulon S, Carles J, Roubaud G, McDermott R, Fléchon A, et al. Abiraterone plus prednisone added to androgen deprivation therapy and docetaxel in de novo metastatic castration-sensitive prostate cancer (PEACE-1): a multicentre, open-label, randomised, phase 3 study with a 2 × 2 factorial design. Lancet. (2022) 399:1695–707. doi: 10.1016/S0140-6736(22)00367-1

PubMed Abstract | Crossref Full Text | Google Scholar

69. Hussain M, Tombal B, Saad F, Fizazi K, Sternberg CN, Crawford ED, et al. Darolutamide plus androgen-deprivation therapy and docetaxel in metastatic hormone-sensitive prostate cancer by disease volume and risk subgroups in the phase III ARASENS trial. J Clin Oncol. (2023) 41:3595–607. doi: 10.1200/JCO.23.00041

PubMed Abstract | Crossref Full Text | Google Scholar

70. So JY, Ohm J, Lipkowitz S, and Yang L. Triple negative breast cancer (TNBC): Non-genetic tumor heterogeneity and immune microenvironment: Emerging treatment options. Pharmacol Ther. (2022) 237:108253. doi: 10.1016/j.pharmthera.2022.108253

PubMed Abstract | Crossref Full Text | Google Scholar

71. Guo S, Liu X, Zhang J, Huang Z, Ye P, Shi J, et al. Integrated analysis of single-cell RNA-seq and bulk RNA-seq unravels T cell-related prognostic risk model and tumor immune microenvironment modulation in triple-negative breast cancer. Comput Biol Med. (2023) 161:107066. doi: 10.1016/j.compbiomed.2023.107066

PubMed Abstract | Crossref Full Text | Google Scholar

72. Xu B, Sun H, Song X, Liu Q, and Jin W. Mapping the tumor microenvironment in TNBC and deep exploration for M1 macrophages-associated prognostic genes. Front Immunol. (2022) 13:923481. doi: 10.3389/fimmu.2022.923481

PubMed Abstract | Crossref Full Text | Google Scholar

73. Huang P, Zhou X, Zheng M, Yu Y, Jin G, and Zhang S. Regulatory T cells are associated with the tumor immune microenvironment and immunotherapy response in triple-negative breast cancer. Front Immunol. (2023) 14:1263537. doi: 10.3389/fimmu.2023.1263537

PubMed Abstract | Crossref Full Text | Google Scholar

74. Bao X, Shi R, Zhao T, Wang Y, Anastasov N, Rosemann M, et al. Integrated analysis of single-cell RNA-seq and bulk RNA-seq unravels tumour heterogeneity plus M2-like tumour-associated macrophage infiltration and aggressiveness in TNBC. Cancer Immunol Immunother. (2021) 70:189–202. doi: 10.1007/s00262-020-02669-7

PubMed Abstract | Crossref Full Text | Google Scholar

75. Leon-Ferre RA, Jonas SF, Salgado R, Loi S, de Jong V, Carter JM, et al. Tumor-infiltrating lymphocytes in triple-negative breast cancer. Jama. (2024) 331:1135–44. doi: 10.1001/jama.2024.3056

PubMed Abstract | Crossref Full Text | Google Scholar

76. Lotfinejad P, Asghari Jafarabadi M, Abdoli Shadbad M, Kazemi T, Pashazadeh F, Sandoghchian Shotorbani S, et al. Prognostic role and clinical significance of tumor-infiltrating lymphocyte (TIL) and programmed death ligand 1 (PD-L1) expression in triple-negative breast cancer (TNBC): A systematic review and meta-analysis study. Diagnostics (Basel). (2020) 10:704. doi: 10.3390/diagnostics10090704

PubMed Abstract | Crossref Full Text | Google Scholar

77. Serrano García L, Jávega B, Llombart Cussac A, Gión M, Pérez-García JM, Cortés J, et al. Patterns of immune evasion in triple-negative breast cancer and new potential therapeutic targets: a review. Front Immunol. (2024) 15:1513421. doi: 10.3389/fimmu.2024.1513421

PubMed Abstract | Crossref Full Text | Google Scholar

78. Ryba-Stanisławowska M. Unraveling Th subsets: insights into their role in immune checkpoint inhibitor therapy. Cell Oncol (Dordr). (2025) 48:295–312. doi: 10.1007/s13402-024-00992-0

PubMed Abstract | Crossref Full Text | Google Scholar

79. Kuroda H, Jamiyan T, Yamaguchi R, Kakumoto A, Abe A, Harada O, et al. Tumor microenvironment in triple-negative breast cancer: the correlation of tumor-associated macrophages and tumor-infiltrating lymphocytes. Clin Transl Oncol. (2021) 23:2513–25. doi: 10.1007/s12094-021-02652-3

PubMed Abstract | Crossref Full Text | Google Scholar

80. Harris RJ, Cheung A, Ng JCF, Laddach R, Chenoweth AM, Crescioli S, et al. Tumor-infiltrating B lymphocyte profiling identifies igG-biased, clonally expanded prognostic phenotypes in triple-negative breast cancer. Cancer Res. (2021) 81:4290–304. doi: 10.1158/0008-5472.CAN-20-3773

PubMed Abstract | Crossref Full Text | Google Scholar

81. Ciarka A, Piątek M, Pęksa R, Kunc M, and Senkus E. Tumor-infiltrating lymphocytes (TILs) in breast cancer: prognostic and predictive significance across molecular subtypes. Biomedicines. (2024) 12:763. doi: 10.3390/biomedicines12040763

PubMed Abstract | Crossref Full Text | Google Scholar

82. Ge LP, Jin X, Ma D, Wang ZY, Liu CL, Zhou CZ, et al. ZNF689 deficiency promotes intratumor heterogeneity and immunotherapy resistance in triple-negative breast cancer. Cell Res. (2024) 34:58–75. doi: 10.1038/s41422-023-00909-w

PubMed Abstract | Crossref Full Text | Google Scholar

83. Zhang Z, Rohweder PJ, Ongpipattanakul C, Basu K, Bohn MF, Dugan EJ, et al. A covalent inhibitor of K-Ras(G12C) induces MHC class I presentation of haptenated peptide neoepitopes targetable by immunotherapy. Cancer Cell. (2022) 40:1060–1069.e1067. doi: 10.1016/j.ccell.2022.07.005

PubMed Abstract | Crossref Full Text | Google Scholar

84. Mistretta B, Rankothgedera S, Castillo M, Rao M, Holloway K, Bhardwaj A, et al. Chimeric RNAs reveal putative neoantigen peptides for developing tumor vaccines for breast cancer. Front Immunol. (2023) 14:1188831. doi: 10.3389/fimmu.2023.1188831

PubMed Abstract | Crossref Full Text | Google Scholar

85. DhatChinamoorthy K, Colbert JD, and Rock KL. Cancer immune evasion through loss of MHC class I antigen presentation. Front Immunol. (2021) 12:636568. doi: 10.3389/fimmu.2021.636568

PubMed Abstract | Crossref Full Text | Google Scholar

86. Lau VWC, Mead GJ, Varyova Z, Mazet JM, Krishnan A, Roberts EW, et al. Remodelling of the immune landscape by IFNγ counteracts IFNγ-dependent tumour escape in mouse tumour models. Nat Commun. (2025) 16:2. doi: 10.1038/s41467-024-54791-0

PubMed Abstract | Crossref Full Text | Google Scholar

87. Liu X, Ye L, Bai Y, Mojidi H, Simister NE, and Zhu X. Activation of the JAK/STAT-1 signaling pathway by IFN-gamma can down-regulate functional expression of the MHC class I-related neonatal Fc receptor for IgG. J Immunol. (2008) 181:449–63. doi: 10.4049/jimmunol.181.1.449

PubMed Abstract | Crossref Full Text | Google Scholar

88. Ren J, Li N, Pei S, Lian Y, Li L, Peng Y, et al. Histone methyltransferase WHSC1 loss dampens MHC-I antigen presentation pathway to impair IFN-γ-stimulated antitumor immunity. J Clin Invest. (2022) 132:e153167. doi: 10.1172/JCI153167

PubMed Abstract | Crossref Full Text | Google Scholar

89. Brune MM, Juskevicius D, Haslbauer J, Dirnhofer S, and Tzankov A. Genomic landscape of hodgkin lymphoma. Cancers (Basel). (2021) 13:682. doi: 10.3390/cancers13040682

PubMed Abstract | Crossref Full Text | Google Scholar

90. Liang YH, Chen KH, Tsai JH, Cheng YM, Lee CC, Kao CH, et al. Proteasome inhibitors restore the STAT1 pathway and enhance the expression of MHC class I on human colon cancer cells. J BioMed Sci. (2021) 28:75. doi: 10.1186/s12929-021-00769-9

PubMed Abstract | Crossref Full Text | Google Scholar

91. Alizadeh-Ghodsi M, Owen KL, Townley SL, Zanker D, Rollin SPG, Hanson AR, et al. Potent stimulation of the androgen receptor instigates a viral mimicry response in prostate cancer. Cancer Res Commun. (2022) 2:706–24. doi: 10.1158/2767-9764.CRC-21-0139

PubMed Abstract | Crossref Full Text | Google Scholar

92. Zhou F. Molecular mechanisms of IFN-γ to up-regulate MHC class I antigen processing and presentation. Int Rev Immunol. (2009) 28:239–60. doi: 10.1080/08830180902978120

PubMed Abstract | Crossref Full Text | Google Scholar

93. Keshari S, Barrodia P, and Singh AK. Epigenetic perspective of immunotherapy for cancers. Cells. (2023) 12:365. doi: 10.3390/cells12030365

PubMed Abstract | Crossref Full Text | Google Scholar

94. Yin J, Gu T, Chaudhry N, Davidson NE, and Huang Y. Epigenetic modulation of antitumor immunity and immunotherapy response in breast cancer: biological mechanisms and clinical implications. Front Immunol. (2024) 14:1325615. doi: 10.3389/fimmu.2023.1325615

PubMed Abstract | Crossref Full Text | Google Scholar

95. Shi LZ and Bonner JA. Bridging radiotherapy to immunotherapy: the IFN-JAK-STAT axis. Int J Mol Sci. (2021) 22:12295. doi: 10.3390/ijms222212295

PubMed Abstract | Crossref Full Text | Google Scholar

96. Massa C, Wang Y, Marr N, and Seliger B. Interferons and resistance mechanisms in tumors and pathogen-driven diseases-focus on the major histocompatibility complex (MHC) antigen processing pathway. Int J Mol Sci. (2023) 24:6736. doi: 10.3390/ijms24076736

PubMed Abstract | Crossref Full Text | Google Scholar

97. Wu Y, Yi Z, Li J, Wei Y, Feng R, Liu J, et al. FGFR blockade boosts T cell infiltration into triple-negative breast cancer by regulating cancer-associated fibroblasts. Theranostics. (2022) 12:4564–80. doi: 10.7150/thno.68972

PubMed Abstract | Crossref Full Text | Google Scholar

98. Mlynska A, Dobrovolskiene N, Suveizde K, Lukaseviciute G, Sagini K, Gracia BM, et al. Exercise-induced extracellular vesicles delay tumor development by igniting inflammation in an immunologically cold triple-negative breast cancer mouse model. J Sport Health Sci. (2025) 14:101041. doi: 10.1016/j.jshs.2025.101041

PubMed Abstract | Crossref Full Text | Google Scholar

99. Mabrouk N, Racoeur C, Shan J, Massot A, Ghione S, Privat M, et al. GTN enhances antitumor effects of doxorubicin in TNBC by targeting the immunosuppressive activity of PMN-MDSC. Cancers (Basel). (2023) 15:3129. doi: 10.3390/cancers15123129

PubMed Abstract | Crossref Full Text | Google Scholar

100. Mehta AK, Cheney EM, Hartl CA, Pantelidou C, Oliwa M, Castrillon JA, et al. Targeting immunosuppressive macrophages overcomes PARP inhibitor resistance in BRCA1-associated triple-negative breast cancer. Nat Cancer. (2021) 2:66–82. doi: 10.1038/s43018-020-00148-7

PubMed Abstract | Crossref Full Text | Google Scholar

101. Hirano R, Okamoto K, Shinke M, Sato M, Watanabe S, Watanabe H, et al. Tissue-resident macrophages are major tumor-associated macrophage resources, contributing to early TNBC development, recurrence, and metastases. Commun Biol. (2023) 6:144. doi: 10.1038/s42003-023-04525-7

PubMed Abstract | Crossref Full Text | Google Scholar

102. Yang S, Liu H, Zheng Y, Chu H, Lu Z, Yuan J, et al. The role of PLIN3 in prognosis and tumor-associated macrophage infiltration: A pan-cancer analysis. J Inflammation Res. (2025) 18:3757–77. doi: 10.2147/JIR.S509245

PubMed Abstract | Crossref Full Text | Google Scholar

103. Alvear-Arias JJ, Carrillo C, Villar JP, Garcia-Betancourt R, Peña-Pichicoi A, Fernandez A, et al. Expression of H(v)1 proton channels in myeloid-derived suppressor cells (MDSC) and its potential role in T cell regulation. Proc Natl Acad Sci U.S.A. (2022) 119:e2104453119. doi: 10.1073/pnas.2104453119

PubMed Abstract | Crossref Full Text | Google Scholar

104. Li M, Xie Y, Zhang J, Zhou X, Gao L, He M, et al. Intratumoral injection of mRNA encoding survivin in combination with STAT3 inhibitor stattic enhances antitumor effects. Cancer Lett. (2024) 598:217111. doi: 10.1016/j.canlet.2024.217111

PubMed Abstract | Crossref Full Text | Google Scholar

105. Sarkar M, Bhuniya A, Ghosh S, Sarkar A, Saha A, Dasgupta S, et al. Neem leaf glycoprotein salvages T cell functions from Myeloid-derived suppressor cells-suppression by altering IL-10/STAT3 axis in melanoma tumor microenvironment. Melanoma Res. (2021) 31:130–9. doi: 10.1097/CMR.0000000000000721

PubMed Abstract | Crossref Full Text | Google Scholar

106. Wang L, Wang H, Zhu M, Ni X, Sun L, Wang W, et al. Platelet-derived TGF-β1 induces functional reprogramming of myeloid-derived suppressor cells in immune thrombocytopenia. Blood. (2024) 144:99–112. doi: 10.1182/blood.2023022738

PubMed Abstract | Crossref Full Text | Google Scholar

107. Deng Y, Shi M, Yi L, Naveed Khan M, Xia Z, and Li X. Eliminating a barrier: Aiming at VISTA, reversing MDSC-mediated T cell suppression in the tumor microenvironment. Heliyon. (2024) 10:e37060. doi: 10.1016/j.heliyon.2024.e37060

PubMed Abstract | Crossref Full Text | Google Scholar

108. Ya G, Ren W, Qin R, He J, and Zhao S. Role of myeloid-derived suppressor cells in the formation of pre-metastatic niche. Front Oncol. (2022) 12:975261. doi: 10.3389/fonc.2022.975261

PubMed Abstract | Crossref Full Text | Google Scholar

109. Lakshmanachetty S, Cruz-Cruz J, Hoffmeyer E, Cole AP, and Mitra SS. New insights into the multifaceted role of myeloid-derived suppressor cells (MDSCs) in high-grade gliomas: from metabolic reprograming, immunosuppression, and therapeutic resistance to current strategies for targeting MDSCs. Cells. (2021) 10:893. doi: 10.3390/cells10040893

PubMed Abstract | Crossref Full Text | Google Scholar

110. Lorentzen CL, Martinenaite E, Kjeldsen JW, Holmstroem RB, Mørk SK, Pedersen AW, et al. Arginase-1 targeting peptide vaccine in patients with metastatic solid tumors - A phase I trial. Front Immunol. (2022) 13:1023023. doi: 10.3389/fimmu.2022.1023023

PubMed Abstract | Crossref Full Text | Google Scholar

111. Pan F, Liu J, Chen Y, Zhu B, Chen W, Yang Y, et al. Chemotherapy-induced high expression of IL23A enhances efficacy of anti-PD-1 therapy in TNBC by co-activating the PI3K-AKT signaling pathway of CTLs. Sci Rep. (2024) 14:14248. doi: 10.1038/s41598-024-65129-7

PubMed Abstract | Crossref Full Text | Google Scholar

112. Fabian KP, Kowalczyk JT, Reynolds ST, and Hodge JW. Dying of stress: chemotherapy, radiotherapy, and small-molecule inhibitors in immunogenic cell death and immunogenic modulation. Cells. (2022) 11:3826. doi: 10.3390/cells11233826

PubMed Abstract | Crossref Full Text | Google Scholar

113. Wang Y, Lu K, Xu Y, Xu S, Chu H, and Fang X. Antibody-drug conjugates as immuno-oncology agents in colorectal cancer: targets, payloads, and therapeutic synergies. Front Immunol. (2025) 16:1678907. doi: 10.3389/fimmu.2025.1678907

PubMed Abstract | Crossref Full Text | Google Scholar

114. Pusztai L, Denkert C, O’Shaughnessy J, Cortes J, Dent R, McArthur H, et al. Event-free survival by residual cancer burden with pembrolizumab in early-stage TNBC: exploratory analysis from KEYNOTE-522. Ann Oncol. (2024) 35:429–36. doi: 10.1016/j.annonc.2024.02.002

PubMed Abstract | Crossref Full Text | Google Scholar

115. Sharma P, Stecklein SR, Yoder R, Staley JM, Schwensen K, O’Dea A, et al. Clinical and biomarker findings of neoadjuvant pembrolizumab and carboplatin plus docetaxel in triple-negative breast cancer: neoPACT phase 2 clinical trial. JAMA Oncol. (2024) 10:227–35. doi: 10.1001/jamaoncol.2023.5033

PubMed Abstract | Crossref Full Text | Google Scholar

116. Bian Y, Lin T, Jakos T, Xiao X, and Zhu J. The generation of dual-targeting fusion protein PD-L1/CD47 for the inhibition of triple-negative breast cancer. Biomedicines. (2022) 10:1843. doi: 10.3390/biomedicines10081843

PubMed Abstract | Crossref Full Text | Google Scholar

117. Rivoltini L, Camisaschi C, Fucà G, Paolini B, Vergani B, Beretta V, et al. Immunological characterization of a long-lasting response in a patient with metastatic triple-negative breast cancer treated with PD-1 and LAG-3 blockade. Sci Rep. (2024) 14:3379. doi: 10.1038/s41598-024-54041-9

PubMed Abstract | Crossref Full Text | Google Scholar

118. Manukian G, Kivolowitz C, DeAngelis T, Shastri AA, Savage JE, Camphausen K, et al. Caloric Restriction Impairs Regulatory T cells Within the Tumor Microenvironment After Radiation and Primes Effector T cells. Int J Radiat Oncol Biol Phys. (2021) 110:1341–9. doi: 10.1016/j.ijrobp.2021.02.029

PubMed Abstract | Crossref Full Text | Google Scholar

119. Wang S, Wang Y, Bu Y, Duan X, Guo X, Wu W, et al. ISLR knockdown enhances radiotherapy-induced anti-tumor immunity by disrupting the Treg-mregDC-lymphoid niche in triple-negative breast cancer. Int Immunopharmacol. (2025) 161:114988. doi: 10.1016/j.intimp.2025.114988

PubMed Abstract | Crossref Full Text | Google Scholar

120. Yap TA, Bardia A, Dvorkin M, Galsky MD, Beck JT, Wise DR, et al. Avelumab plus talazoparib in patients with advanced solid tumors: the JAVELIN PARP medley nonrandomized controlled trial. JAMA Oncol. (2023) 9:40–50. doi: 10.1001/jamaoncol.2022.5228

PubMed Abstract | Crossref Full Text | Google Scholar

121. Desai NV and Tan AR. Targeted therapies and the evolving standard of care for triple-negative and germline BRCA1/2-mutated breast cancers in the high-risk, early-stage setting. JCO Precis Oncol. (2023) 7:e2200446. doi: 10.1200/PO.22.00446

PubMed Abstract | Crossref Full Text | Google Scholar

122. Karim AM, Eun Kwon J, Ali T, Jang J, Ullah I, Lee YG, et al. Triple-negative breast cancer: epidemiology, molecular mechanisms, and modern vaccine-based treatment strategies. Biochem Pharmacol. (2023) 212:115545. doi: 10.1016/j.bcp.2023.115545

PubMed Abstract | Crossref Full Text | Google Scholar

123. Huang L, Rong Y, Tang X, Yi K, Qi P, Hou J, et al. Engineered exosomes as an in situ DC-primed vaccine to boost antitumor immunity in breast cancer. Mol Cancer. (2022) 21:45. doi: 10.1186/s12943-022-01515-x

PubMed Abstract | Crossref Full Text | Google Scholar

124. Burn OK, Farrand K, Pritchard T, Draper S, Tang CW, Mooney AH, et al. Glycolipid-peptide conjugate vaccines elicit CD8(+) T-cell responses and prevent breast cancer metastasis. Clin Transl Immunol. (2022) 11:e1401. doi: 10.1002/cti2.1401

PubMed Abstract | Crossref Full Text | Google Scholar

125. Brito Baleeiro R, Liu P, Chard Dunmall LS, Di Gioia C, Nagano A, Cutmore L, et al. Personalized neoantigen viro-immunotherapy platform for triple-negative breast cancer. J Immunother Cancer. (2023) 11:e007336. doi: 10.1136/jitc-2023-007336

PubMed Abstract | Crossref Full Text | Google Scholar

126. Rios-Hoyo A, Dai J, Noel T, Blenman KRM, Park T, and Pusztai L. Immune-related adverse events are associated with better event-free survival in a phase I/II clinical trial of durvalumab concomitant with neoadjuvant chemotherapy in early-stage triple-negative breast cancer. ESMO Open. (2025) 10:104494. doi: 10.1016/j.esmoop.2025.104494

PubMed Abstract | Crossref Full Text | Google Scholar

127. Ren X, Wu H, Lu J, Zhang Y, Luo Y, Xu Q, et al. PD1 protein expression in tumor infiltrated lymphocytes rather than PDL1 in tumor cells predicts survival in triple-negative breast cancer. Cancer Biol Ther. (2018) 19:373–80. doi: 10.1080/15384047.2018.1423919

PubMed Abstract | Crossref Full Text | Google Scholar

128. Tarantino P and Curigliano G. Defining the immunogram of breast cancer: a focus on clinical trials. Expert Opin Biol Ther. (2019) 19:383–5. doi: 10.1080/14712598.2019.1598372

PubMed Abstract | Crossref Full Text | Google Scholar

129. Tovey H and Cheang MCU. Identifying biomarkers to pair with targeting treatments within triple negative breast cancer for improved patient stratification. Cancers (Basel). (2019) 11:1864. doi: 10.3390/cancers11121864

PubMed Abstract | Crossref Full Text | Google Scholar

130. Hu G, Wang S, Wang S, Ding Q, and Huang L. LAG-3(+) tumor-infiltrating lymphocytes ameliorates overall survival in triple-negative breast cancer patients. Front Oncol. (2022) 12:986903. doi: 10.3389/fonc.2022.986903

PubMed Abstract | Crossref Full Text | Google Scholar

131. Asano Y, Kashiwagi S, Takada K, Ishihara S, Goto W, Morisaki T, et al. Clinical significance of expression of immunoadjuvant molecules (LAG-3, TIM-3, OX-40) in neoadjuvant chemotherapy for breast cancer. Anticancer Res. (2022) 42:125–36. doi: 10.21873/anticanres.15466

PubMed Abstract | Crossref Full Text | Google Scholar

132. Huang M, Yu X, Wang Q, Jiang Z, Li X, Chen W, et al. The immune checkpoint TIGIT/CD155 promotes the exhaustion of CD8 + T cells in TNBC through glucose metabolic reprogramming mediated by PI3K/AKT/mTOR signaling. Cell Commun Signal. (2024) 22:35. doi: 10.1186/s12964-023-01455-z

PubMed Abstract | Crossref Full Text | Google Scholar

133. Huang S, Zhao Y, Liao P, Wang J, Li Z, Tan J, et al. Different expression patterns of VISTA concurrent with PD-1, Tim-3, and TIGIT on T cell subsets in peripheral blood and bone marrow from patients with multiple myeloma. Front Oncol. (2022) 12:1014904. doi: 10.3389/fonc.2022.1014904

PubMed Abstract | Crossref Full Text | Google Scholar

134. Liang R, Zhu X, Lan T, Ding D, Zheng Z, Chen T, et al. TIGIT promotes CD8(+)T cells exhaustion and predicts poor prognosis of colorectal cancer. Cancer Immunol Immunother. (2021) 70:2781–93. doi: 10.1007/s00262-021-02886-8

PubMed Abstract | Crossref Full Text | Google Scholar

135. Imani S, Farghadani R, Roozitalab G, Maghsoudloo M, Emadi M, Moradi A, et al. Reprogramming the breast tumor immune microenvironment: cold-to-hot transition for enhanced immunotherapy. J Exp Clin Cancer Res. (2025) 44:131. doi: 10.1186/s13046-025-03394-8

PubMed Abstract | Crossref Full Text | Google Scholar

136. Abudula M, Astuti Y, Raymant M, Sharma V, Schmid MC, and Mielgo A. Macrophages suppress CD8 + T cell cytotoxic function in triple negative breast cancer via VISTA. Br J Cancer. (2025) 133:40–51. doi: 10.1038/s41416-025-03013-5

PubMed Abstract | Crossref Full Text | Google Scholar

137. Bareche Y, Buisseret L, Gruosso T, Girard E, Venet D, Dupont F, et al. Unraveling triple-negative breast cancer tumor microenvironment heterogeneity: towards an optimized treatment approach. J Natl Cancer Inst. (2020) 112:708–19. doi: 10.1093/jnci/djz208

PubMed Abstract | Crossref Full Text | Google Scholar

138. Emens LA, Cruz C, Eder JP, Braiteh F, Chung C, Tolaney SM, et al. Long-term clinical outcomes and biomarker analyses of atezolizumab therapy for patients with metastatic triple-negative breast cancer: A phase 1 study. JAMA Oncol. (2019) 5:74–82. doi: 10.1001/jamaoncol.2018.4224

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: triple-negative breast cancer, tumor-infiltrating lymphocytes, antibody-drug conjugates, immunotherapy, antitumor immunity

Citation: Fan Y, Wang H, Zhang H, Ma T and Zhao Y (2025) Integrating molecular targeting and immune modulation in triple-negative breast cancer: from mechanistic insights to therapeutic innovation. Front. Immunol. 16:1711415. doi: 10.3389/fimmu.2025.1711415

Received: 23 September 2025; Accepted: 10 November 2025; Revised: 08 November 2025;
Published: 26 November 2025.

Edited by:

Shangke Huang, Southwest Medical University, China

Reviewed by:

Artur Augusto Paiva, Coimbra Hospital and University Center, Portugal
Shengshan Xu, Jiangmen Central Hospital, China

Copyright © 2025 Fan, Wang, Zhang, Ma and Zhao. 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: Yihang Zhao, em91Y3VvLmNvb2xAMTYzLmNvbQ==

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.