Skip to main content
iMeta logoLink to iMeta
. 2026 Jun 14;5(4):e70142. doi: 10.1002/imt2.70142

The role of human microbiota in breast cancer pathogenesis and treatment

Jie Qiu 1,2, Xiaojia Wang 3, Man Li 4, Jing Guo 5, Shipeng Ning 6, Yi‐Zhou Gao 7, Xinyi Zhang 8,9, Xuli Meng 10,✉, Yiding Chen 11,12,✉, Yunxiang Zhou 11,12,✉
PMCID: PMC13519087  PMID: 42661868

Abstract

The human microbiota contributes to breast cancer pathogenesis and treatment response through interactions involving the oral, gut, and breast microbial niches. (Left) Multi‐site dysbiosis is characterized by altered microbial composition and abundance across different anatomical sites. (Middle) Microbial components and metabolites influence tumor progression and the tumor microenvironment through mechanisms including immune, metabolic, and inflammatory regulation. (Right) The microbiota and their metabolites further affect therapeutic efficacy and toxicity in immunotherapy, chemotherapy, endocrine therapy, and human epidermal growth factor receptor 2 (HER2)‐targeted therapy, highlighting the translational potential of microbiota‐targeted strategies in breast cancer.

graphic file with name IMT2-5-e70142-g002.webp


Breast cancer remains a leading cause of cancer‐related mortality in women worldwide [1]. Historically, the breast was considered a sterile organ. Recent studies have demonstrated that breast tissue harbors a low‐biomass microbiota with distinct compositional differences between healthy and malignant tissues [2]. These microorganisms may modulate the tumor microenvironment (TME) through interactions with epithelial, stromal, and immune cells. Oral and gut microbiota may further influence breast cancer biology through local and systemic crosstalk, thereby affecting disease initiation and therapeutic response (Figure 1) [2, 3]. Notably, tumor–microbiota interactions are relevant in breast cancer from a translational perspective, as both estrogen metabolism and systemic therapies (e.g., endocrine therapy and immunotherapy) may be modulated by the microbiota [2, 3]. Understanding these complex interactions offers opportunities to identify biomarkers, optimize current treatments, and develop microbiota‐targeted interventions, thereby potentially improving diagnosis, prognosis, and therapeutic precision in breast cancer management.

Figure 1.

Figure 1

Crosstalk between the microbiota and the malignant progression of breast cancer. Microbiota from the gut, oral cavity, and intratumoral sites are implicated in breast cancer pathogenesis. Microbial phyla, such as Firmicutes (e.g., Streptococcus, Staphylococcus), Bacteroidetes (e.g., Porphyromonas), Proteobacteria (e.g., Pseudomonas, Proteus), Actinobacteria (e.g., Propionibacterium, Corynebacterium), Verrucomicrobia, and Fusobacteria (e.g., Fusobacterium), show altered relative abundance patterns between breast tumor and non‐tumor tissues (although inconsistencies remain across studies). These taxa influence tumor initiation, progression, and metastasis through distinct or overlapping molecular mechanisms, including regulation of apoptosis, proliferation, immune infiltration, inflammation, epithelial‐to‐mesenchymal transition (EMT), and DNA damage. BFT, Bacteroides fragilis toxin; DC, dendritic cell; ER, estrogen receptor; LPS, lipopolysaccharide; MAM, microbial anti‐inflammatory molecule; MMP9, matrix metalloproteinase‐9; NK, natural killer cell; NOD1, nucleotide‐binding oligomerization domain‐containing protein 1; PA‐MSHA, Pseudomonas aeruginosa‐mannose‐sensitive hemagglutinin; PARP, poly (ADP‐ribose) polymerase; PCN, phenazine‐1‐carboxamide; PSA, polysaccharide A; ROS, reactive oxygen species; TcdB, Clostridioides difficile toxin B; Treg, regulatory T cell; TLR, Toll‐like receptor; VEGFD, vascular endothelial growth factor‐D.

BREAST MICROBIOTA DYSBIOSIS IN BREAST CANCER

The human breast microbiota is distinct from that of other organs, although a fully defined core profile has not yet been established. Proteobacteria is the dominant phylum in breast tissue, with additional contributions from Firmicutes, Actinobacteria, and Bacteroidetes [2]. In breast cancer, the microbial composition of tumor tissue differs significantly from that of normal tissue (Figure 1) [4]. Subtype‐specific microbial patterns have also been reported, including lower abundance of genera within the class Alphaproteobacteria in hormone receptor‐positive tissues, although such patterns are largely inconsistent across studies [5]. Beyond compositional alterations, emerging evidence suggests that breast microbiota dysbiosis is closely linked to the local immune microenvironment. Notably, Propionibacterium and Staphylococcus, both depleted in tumor tissue, show inverse associations with oncogenic immune features. Moreover, Propionibacterium and Streptococcus correlate positively with T‐cell activation‐related genes [4]. These findings support a potential role for the breast microbiota in shaping tumor–immune interactions and influencing breast cancer progression.

EXTRAMAMMARY MICROBIOTA AND BREAST CANCER PATHOGENESIS

Beyond the local breast microbiota, accumulating evidence suggests that extramammary microbial niches contribute to breast cancer development and progression, with the gut microbiota being the most extensively investigated. In the healthy intestine, Firmicutes and Bacteroidetes are the dominant phyla and contribute to intestinal homeostasis. Gut microbial dysbiosis, often characterized by altered Firmicutes/Bacteroidetes balance, decreased diversity, and expansion of potentially pathogenic taxa, may promote tumorigenesis through enterotoxin production and chronic inflammation [6, 7]. For instance, enterotoxigenic Bacteroides fragilis secretes Bacteroides fragilis toxin‐1 (BFT‐1), which binds to nucleotide‐binding oligomerization domain‐containing protein 1 (NOD1) in breast cancer cells, stabilizes NOD1, and activates Notch homolog 1 (NOTCH1) signaling pathway, thereby promoting breast cancer cell stemness and chemoresistance [7]. Notably, not all gut microbiota alterations observed in breast cancer are pro‐tumorigenic. Faecalibacterium prausnitzii, a Firmicutes member depleted in breast cancer patients, has been associated with anti‐tumor effects through inhibition of IL‐6 secretion and JAK2/STAT3 signaling [6]. In addition, gut microbiota may influence breast cancer pathogenesis by modulating estrogen deconjugation and enterohepatic recycling [8].

Compared with the gut microbiota, evidence linking oral microbiota to breast cancer remains limited. Fusobacterium nucleatum, a common oral microorganism, has been detected in breast tumors and is associated with tumor growth and metastatic progression. Mechanistically, Fusobacterium nucleatum binds tumor‐displayed Gal‐GalNAc via its Fap2 lectin, promoting breast tumor colonization. It subsequently suppresses the accumulation of tumor‐infiltrating T cells and drives tumor growth and metastasis, and these effects can be counteracted by antibiotic treatment [3]. These findings suggest that oral microbiota may also contribute to breast cancer pathogenesis, although further mechanistic and clinical studies are needed.

MICROBIOTA‐DERIVED METABOLITES AND BREAST CANCER PATHOGENESIS

Beyond direct host–microbiota interactions, accumulating evidence suggests that microbiota‐derived metabolites play multifaceted roles in breast cancer progression (Table S1). For instance, secondary bile acids, produced by the gut microbiota, including Clostridium species, exert divergent effects in breast cancer: lithocholic acid suppresses tumor cell proliferation, inhibits the production of vascular endothelial growth factor, and promotes antitumor immunity, whereas deoxycholic acid has been implicated as a procarcinogenic agent [9]. Although some studies have implicated the gut microbial metabolite trimethylamine N‐oxide in promoting tumor progression, Wang et al. found that it can suppress triple‐negative breast cancer by inducing endoplasmic reticulum stress‐mediated pyroptosis, which subsequently activates CD8+ T cell antitumor immunity [10]. Enterolactone is a gut microbiota‐derived metabolite of dietary flaxseed lignans. In breast cancer, enterolactone suppresses tumor progression by downregulating CD38, a key immunosuppressive molecule, thereby partially reversing the immunosuppressive TME [11]. Altered short‐chain fatty acid (SCFA) profiles have been observed in breast cancer, reflecting both microbiota dysbiosis and host metabolic reprogramming, with individual metabolites exerting context‐dependent effects on tumor biology [9, 12]. Notably, butyrate, among these SCFAs, can enhance cytotoxic CD8+ T‐cell responses via an epigenetic mechanism that promotes IL‐12 signaling, thereby strengthening antitumor immunity [12]. Other metabolites, including urolithin A, have also been implicated in modulating breast cancer progression [13]. Collectively, microbiota‐derived metabolites represent an important mechanistic link between microbial dysbiosis and breast cancer progression, and may serve as potential predictive and prognostic biomarkers.

MICROBIOTA AND IMMUNOTHERAPY RESPONSE IN BREAST CANCER

Accumulating evidence supports a role for microbiota in modulating therapeutic responses in breast cancer (Figure 2). Among these, immunotherapy has attracted considerable attention (Figure 2A). In particular, both microbiota‐derived metabolites (e.g., enterolactone) and compositional shifts (e.g., Akkermansia enrichment) have been associated with enhanced responsiveness to PD‐1/PD‐L1 blockade in breast cancer [11]. In contrast, intratumoral Sphingobacterium multivorum reduces the efficacy of anti‐PD‐1 therapy by promoting the recruitment of regulatory T cells via chemokines (e.g., CCL20) and decreasing CD8+ T‐cell infiltration [14]. Collectively, these findings highlight the therapeutic potential of microbiota‐directed strategies for enhancing immunotherapy efficacy.

Figure 2.

Figure 2

Microbiota and their metabolites in breast cancer therapy. (A) Microbiota‐derived metabolites and bacterial taxa modulate immune responses and influence the efficacy of immune checkpoint blockade in immunotherapy. (B) Microbiota composition and metabolites affect chemotherapy efficacy and toxicity through regulation of apoptosis, autophagy, immune cell infiltration, and inflammatory responses. (C) Microbial enzymes, particularly β‐glucuronidase, regulate estrogen deconjugation and enterohepatic circulation, thereby modulating responsiveness to endocrine therapy. Representative microbial taxa and metabolites are mapped across the three therapeutic contexts, highlighting their potential roles in modulating treatment response. c‐di‐AMP, cyclic di‐adenosine monophosphate; DC, dendritic cell; ER, estrogen receptor; GM‐CSF, granulocyte macrophage colony‐stimulating factor; GPCR, G‐protein coupled receptor; HSDs, hydroxysteroid dehydrogenases; LCA, lithocholic acid; NK, natural killer cell; SCFAs, short‐chain fatty acids; STING, stimulator of interferon genes; TAM, tumor‐associated macrophage; TILs, tumor‐infiltrating lymphocytes; TMAO, trimethylamine N‐oxide; Treg, regulatory T cell.

MICROBIOTA AND TARGETED THERAPY RESPONSE IN BREAST CANCER

Gut microbiota may also influence the efficacy of human epidermal growth factor receptor 2 (HER2)‐targeted therapy in breast cancer. In HER2‐positive breast cancer, disruption of gut microbiota by antibiotic treatment impairs trastuzumab antitumor activity and is associated with reduced dendritic‐cell activation, decreased IL‐12p70 production, and diminished recruitment of activated CD4+ T cells within the TME [15]. Consistently, trastuzumab‐nonresponsive patients exhibit lower gut microbial diversity and reduced abundance of several commensal bacterial families compared with responders [15]. These findings suggest that gut microbiota may modulate HER2‐targeted therapy responsiveness, warranting further investigation to elucidate underlying mechanisms and clinical implications.

MICROBIOTA AND CHEMOTHERAPY RESPONSE AND TOXICITY IN BREAST CANCER

Microbiota may play a role in modulating chemotherapy outcomes (Figure 2B). The gut microbiota contributes to chemotherapy efficacy and treatment tolerance through regulation of drug metabolism and host immune responses. Ma et al. observed that enterotoxigenic Bacteroides fragilis was enriched in breast tumors of patients resistant to taxane‐based neoadjuvant chemotherapy, and further demonstrated in mouse models and cell lines that enterotoxigenic Bacteroides fragilis and its secreted toxin BFT‐1 contribute to resistance to chemotherapy [7]. In terms of toxicity, a prospective cohort of 301 breast cancer patients demonstrated that lower baseline gut microbial α‐diversity and enrichment of specific Firmicutes‐related taxa, including class Bacilli A and order Paenibacillales, are associated with a higher risk of severe hematological toxicity, whereas higher abundance of phylum Synergistota is associated with a reduced risk of severe neutropenia [16]. Collectively, these findings suggest that the gut microbiota has potential as a biomarker and therapeutic target in breast cancer chemotherapy management.

MICROBIOTA AND ENDOCRINE THERAPY RESPONSE IN BREAST CANCER

For patients with estrogen receptor‐positive breast cancer, microbiota‐mediated estrogen metabolism may play an important role in endocrine therapy response (Figure 2C). Bacterial β‐glucuronidase enzymes catalyze the deconjugation of estrogens in the intestine, facilitating their reabsorption via enterohepatic circulation and thereby influencing systemic estrogen exposure and endocrine responsiveness [8]. Beyond the gut axis, evidence also suggests potential local estrogen reactivation within the breast microenvironment. Genes encoding β‐glucuronidase enzymes are enriched in nipple aspirate fluid from breast cancer patients, suggesting an increased capacity for conjugated estrogen reactivation [9]. Functionally, enhanced estrogen reactivation may promote tumor proliferation, metabolic reprogramming, epithelial–mesenchymal transition, and therapy resistance, including tamoxifen resistance [9]. Collectively, these findings suggest that microbiota‐mediated estrogen metabolism may contribute to endocrine therapy response heterogeneity in breast cancer, highlighting its potential for treatment stratification.

MICROBIOTA‐TARGETED THERAPEUTIC STRATEGIES IN BREAST CANCER

Microbiota‐targeted interventions in breast cancer can be broadly categorized into microbiota modulation, microbiota depletion or reshaping, and engineered microbiota‐based platforms [17, 18]. Among these, microbiota modulation (e.g., probiotics and dietary interventions) represents the most accessible and safest strategy, but with relatively limited clinical efficacy evidence [17, 18, 19, 20]. Microbiota reshaping approaches, particularly fecal microbiota transplantation (FMT), have shown promising therapeutic potential in preclinical models, especially in combination with immune checkpoint blockade and HER2‐targeted therapy [17]. In contrast, antibiotic‐induced microbiota depletion remains controversial because of its potential to impair antitumor immunity and disrupt microbial homeostasis [17]. To overcome the limitations of conventional depletion, nanotechnology‐based platforms offer precision approaches [17]. Engineered nanovehicles can selectively target pro‐tumorigenic bacteria while preserving commensal microbiota. Furthermore, bacterial–nanomaterial hybrids and oncolytic viruses (e.g., T‐VEC or MV‐s‐NAP) enable delivery of therapeutic cargo into hypoxic tumor regions, potentially overcoming microenvironmental barriers and broadening the therapeutic scope of microbiota‐based strategies [17, 18].

Despite this substantial therapeutic potential, microbiota‐based interventions in breast cancer remain largely confined to preclinical and early exploratory clinical stages [17, 19]. Ongoing trials are evaluating probiotics for immune modulation (NCT03358511) and engineered viral or microbial platforms for safety and feasibility (NCT04521764), yet clinical translation still lags behind other malignancies, such as melanoma, where FMT combined with anti‐PD‐1 therapy has achieved objective response rates of up to 65% in a multicenter phase I trial [19]. Key barriers include safety concerns (e.g., uncontrolled microbial expansion, mutation, and horizontal gene transfer), as well as substantial interindividual variability in baseline microbiota composition and dietary background [17, 18, 19]. Future development will likely depend on personalized microbiota‐based stratification and integrative “One Health” frameworks, together with precision‐engineered microbial or nanotechnology‐based systems enabling biomarker‐guided therapeutic delivery [17, 18].

SHORT SUMMARY

Increasing evidence supports an association between the human microbiota and breast cancer biology across breast, gut, and oral microbial niches. These microbial communities and their metabolites may influence tumor progression and the tumor microenvironment through immune‐, metabolic‐, and inflammation‐related pathways. Emerging evidence suggests potential links between microbiota composition and responses to systemic therapies, including immunotherapy, HER2‐targeted therapy, chemotherapy, and endocrine therapy, although current data remain largely observational and heterogeneous. To date, no microbiota‐based biomarker or intervention has been validated for routine clinical use in breast cancer. Future studies should integrate mechanistic investigations with translational research to clarify causal relationships and clinical relevance.

AUTHOR CONTRIBUTIONS

Jie Qiu: Conceptualization; writing—original draft. Xiaojia Wang: Supervision; writing—review and editing. Man Li: Writing—review and editing; methodology. Jing Guo: Writing—original draft; data curation. Shipeng Ning: Writing—review and editing. Yi‐Zhou Gao: Writing—review and editing; data curation. Xinyi Zhang: Writing—original draft; visualization. Xuli Meng: Writing—review and editing. Yiding Chen: Funding acquisition; supervision; writing—review and editing. Yunxiang Zhou: Conceptualization; data curation; supervision; project administration; writing—review and editing; funding acquisition.

CONFLICT OF INTEREST STATEMENT

The authors declare no conflicts of interest.

ETHICS STATEMENT

No animals or humans were involved in this study.

Supporting information

Table S1: Representative microbial taxa and microbiota‐derived metabolites implicated in breast cancer progression and therapeutic response.

IMT2-5-e70142-s001.xlsx (13.6KB, xlsx)

ACKNOWLEDGMENTS

This work was supported by grants from the Medical and Health Science Program of Zhejiang Province (2025HY0407), the Key Research and Development Program of Zhejiang Province (Grant No. 2024C03183), the National Natural Science Foundation of China (Grant No. 82373437), and Jingyi Research Fund Phase II of Beijing Vlove Charity Foundation (Grant No. JVII2025‐0200304035). We apologize for not being able to cite additional work owing to space limitations.

Qiu, Jie , Wang Xiaojia, Li Man, Guo Jing, Ning Shipeng, Gao Yi‐Zhou, Zhang Xinyi, Meng Xuli, Chen Yiding, and Zhou Yunxiang. 2026. “The Role of Human Microbiota in Breast Cancer Pathogenesis and Treatment.” iMeta 5, e70142. 10.1002/imt2.70142

Jie Qiu, Xiaojia Wang, and Man Li contributed equally to this study.

Contributor Information

Xuli Meng, Email: mxlmail@126.com.

Yiding Chen, Email: ydchen@zju.edu.cn.

Yunxiang Zhou, Email: yxzhou@zju.edu.cn.

DATA AVAILABILITY STATEMENT

Data sharing is not applicable to this article, as no datasets were generated or analyzed during the current study. No new data and scripts were generated in this Commentary. Supplementary information (tables, graphical abstract, slides, videos, Chinese translated version, and updated materials) may be found in the online DOI or iMeta Science https://www.imeta.science/.

REFERENCES

  • 1. Siegel, Rebecca L. , Kratzer Tyler B., Giaquinto Angela N., Sung Hyuna, and Jemal Ahmedin. 2025. “Cancer Statistics, 2025.” CA Cancer Journal for Clinicians 75: 10–45. 10.3322/caac.21871 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Tang, Grace , Millar Ewan K. A., Graham Peter H., and Beretov Julia. 2025. “Interaction Between the Breast Tumor Microenvironment and Gut Microbiome.” Gut Microbes 17: 2514136. 10.1080/19490976.2025.2514136 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Parhi, Lishay , Tamar, Alon‐Maimon , Sol Asaf, Nejman Deborah, Shhadeh Amjad, Fainsod‐Levi Tanya, Yajuk Olga, et al. 2020. “Breast Cancer Colonization by Fusobacterium Nucleatum Accelerates Tumor Growth and Metastatic Progression.” Nature Communications 11: 3259. 10.1038/s41467-020-16967-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Tzeng, Alice , Sangwan Naseer, Jia Margaret, Liu Chin‐Chih, Keslar Karen S., Downs‐Kelly Erinn, and Fairchild Robert L., Zahraa Al‐Hilli, Stephen R. Grobmyer, and Charis Eng. 2021. “Human Breast Microbiome Correlates With Prognostic Features and Immunological Signatures in Breast Cancer.” Genome Medicine 13: 60. 10.1186/s13073-021-00874-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Bose, Chandrani , Uczkowski Natalia Gontarczyk, Sukla Krishna, Raval Nilixa, Haque Mohammed Monzoorul, Zhang Yingting, Varma Binuja, and Satagopan Jaya M.. 2025. “Breast Cancer and Microbiome: A Systematic Review Highlighting Challenges for Clinical Translation.” BMC Womens Health 25: 416. 10.1186/s12905-025-03843-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Ma, Ji , Sun Lingqi, Liu Ying, Ren Hui, Shen Yali, Bi Feng, Zhang Tao, and Wang Xin. 2020. “Alter between Gut Bacteria and Blood Metabolites and the Anti‐Tumor Effects of Faecalibacterium Prausnitzii in Breast Cancer.” BMC Microbiology 20: 82. 10.1186/s12866-020-01739-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Ma, Wei , Zhang Lu, Chen Weilong, Chang Zhaoxia, Tu Juchuanli, Qin Yuanyuan, Yao Yuwen, et al. 2024. “Microbiota Enterotoxigenic Bacteroides Fragilis‐Secreted BFT‐1 Promotes Breast Cancer Cell Stemness and Chemoresistance Through Its Functional Receptor NOD1.” Protein Cell 15: 419–440. 10.1093/procel/pwae005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Heath, Hannah , Mogol Ayca Nazli, Santaliz Casiano Ashlie, Zuo Qianying, and Madak‐Erdogan Zeynep. 2024. “Targeting Systemic and Gut Microbial Metabolism in ER(+) Breast Cancer.” Trends in Endocrinology & Metabolism 35: 321–330. 10.1016/j.tem.2023.12.008 [DOI] [PubMed] [Google Scholar]
  • 9. Kovács, Tünde , Mikó Edit, Ujlaki Gyula, Yousef Heba, Csontos Viktória, Uray Karen, and Bai Peter. 2021. “The Involvement of Oncobiosis and Bacterial Metabolite Signaling in Metastasis Formation in Breast Cancer.” Cancer Metastasis Reviews 40: 1223–1249. 10.1007/s10555-021-10013-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Wang, Hai , Rong Xingyu, Zhao Gan, Zhou Yifan, Xiao Yi, Ma Ding, Jin Xi, et al. 2022. “The Microbial Metabolite Trimethylamine N‐Oxide Promotes Antitumor Immunity in Triple‐Negative Breast Cancer.” Cell Metabolism 34: 581–594.e8. 10.1016/j.cmet.2022.02.010 [DOI] [PubMed] [Google Scholar]
  • 11. Wu, Hao , Liu Jiena, Zhang Xing‐Hua, Jin Shengye, Li Ping, Liu Huidi, Zhao Liuying, et al. 2025. “The Combination of Flaxseed Lignans and PD‐1/PD‐L1 Inhibitor Inhibits Breast Cancer Growth via Modulating Gut Microbiome and Host Immunity.” Drug Resistance Updates 80: 101222. 10.1016/j.drup.2025.101222 [DOI] [PubMed] [Google Scholar]
  • 12. He, Yao , Fu Liuhui, Li Yiping, Wang Wenyan, Gong Mingli, Zhang Jing, Dong Xin, et al. 2021. “Gut Microbial Metabolites Facilitate Anticancer Therapy Efficacy By Modulating Cytotoxic CD8(+) T Cell Immunity.” Cell Metabolism 33: 988–1000.e7. 10.1016/j.cmet.2021.03.002 [DOI] [PubMed] [Google Scholar]
  • 13. Zheng, Bowen , Wang Yuying, Zhou Baian, Qian Fengyuan, Liu Diya, Ye Danrong, Zhou Xiqian, and Fang Lin. 2025. “Urolithin A Inhibits Breast Cancer Progression via Activating TFEB‐Mediated Mitophagy in Tumor Macrophages.” Journal of Advanced Research 69: 125–138. 10.1016/j.jare.2024.04.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Mai, Zhikai , Fu Liwu, Su Jiyan, To Kenneth K. W., Yang Chuansheng, and Xia Chenglai. 2025. “Intra‐Tumoral Sphingobacterium Multivorum Promotes Triple‐Negative Breast Cancer Progression by Suppressing Tumor Immunosurveillance.” Molecular Cancer 24: 6. 10.1186/s12943-024-02202-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Di Modica, Martina , Gargari Giorgio, Regondi Viola, Bonizzi Arianna, Arioli Stefania, Belmonte Beatrice, De Cecco Loris, et al. 2021. “Gut Microbiota Condition the Therapeutic Efficacy of Trastuzumab in HER2‐Positive Breast Cancer.” Cancer Research 81: 2195–2206. 10.1158/0008-5472.Can-20-1659 [DOI] [PubMed] [Google Scholar]
  • 16. Nguyen, Sang M. , Tran Huong T. T., Long Jirong, Shrubsole Martha J., Cai Hui, Yang Yaohua, Cai Qiuyin, et al. 2024. “Gut Microbiome in Association With Chemotherapy‐Induced Toxicities Among Patients With Breast Cancer.” Cancer 130: 2014–2030. 10.1002/cncr.35229 [DOI] [PubMed] [Google Scholar]
  • 17. Sabeel, Zufa , and Yang Zhao. 2025. “Microbiome‐Targeted Nanoplatforms and Engineering Approaches in Breast Cancer Therapy.” Molecular Cancer 24: 276. 10.1186/s12943-025-02456-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Filippou, Charalampos , Themistocleous Sophia C., Marangos Giorgos, Panayiotou Yiannis, Fyrilla Maria, Kousparou Christina A., Pana Zoi‐Dorothea, Constantinos Tsioutis, Elizabeth O. Johnson, and Andreas Yiallouris. 2024. “Microbial Therapy and Breast Cancer Management: Exploring Mechanisms, Clinical Efficacy, and Integration Within the One Health Approach.” International Journal of Molecular Sciences 25(2): 1110. 10.3390/ijms25021110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Xia, Fada , Yi Qiaoli, Xu Zhijie, Zhou Zhiyang, Tang Hailin, Zhang Kejing, and Yan Yuanliang. 2025. “Microbial Modulation as a Game Changer: Boosting Immunotherapy Efficacy in Breast Cancer.” Seminars in Cancer Biology 117: 152–167. 10.1016/j.semcancer.2025.10.006 [DOI] [PubMed] [Google Scholar]
  • 20. Nandi, Deeptashree , Parida Sheetal, and Sharma Dipali. 2023. “The Gut Microbiota in Breast Cancer Development and Treatment: The Good, the Bad, and the Useful!” Gut Microbes 15: 2221452. 10.1080/19490976.2023.2221452 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1: Representative microbial taxa and microbiota‐derived metabolites implicated in breast cancer progression and therapeutic response.

IMT2-5-e70142-s001.xlsx (13.6KB, xlsx)

Data Availability Statement

Data sharing is not applicable to this article, as no datasets were generated or analyzed during the current study. No new data and scripts were generated in this Commentary. Supplementary information (tables, graphical abstract, slides, videos, Chinese translated version, and updated materials) may be found in the online DOI or iMeta Science https://www.imeta.science/.


Articles from iMeta are provided here courtesy of Wiley

RESOURCES