The DOI matches its Crossref record; 53 of the 54 references it cites were found in a registry or an index.
Gut Microbiota Condition the Therapeutic Efficacy of Trastuzumab in HER2-Positive Breast Cancer
Open accessPublished version of a preprint
Abstract
Abstract Emerging evidence indicates that gut microbiota affect the response to anticancer therapies by modulating the host immune system. In this study, we investigated the impact of gut microbiota on immune-mediated trastuzumab antitumor efficacy in preclinical models of HER2-positive breast cancer and in 24 patients with primary HER2-positive breast cancer undergoing trastuzumab-containing neoadjuvant treatment. In mice, the antitumor activity of trastuzumab was impaired by antibiotic administration or fecal microbiota transplantation from antibiotic-treated donors. Modulation of the intestinal microbiota was reflected in tumors by impaired recruitment of CD4+ T cells and granzyme B–positive cells after trastuzumab treatment. Antibiotics caused reductions in dendritic cell (DC) activation and the release of IL12p70 upon trastuzumab treatment, a mechanism that was necessary for trastuzumab effectiveness in our model. In patients, lower α-diversity and lower abundance of Lachnospiraceae, Turicibacteraceae, Bifidobacteriaceae, and Prevotellaceae characterized nonresponsive patients (NR) compared with those who achieved pathologic complete response (R), similar to antibiotic-treated mice. The transfer of fecal microbiota from R and NR into mice bearing HER2-positive breast cancer recapitulated the response to trastuzumab observed in patients. Fecal microbiota β-diversity segregated patients according to response and positively correlated with immune signature related to interferon (IFN) and NO2-IL12 as well as activated CD4+ T cells and activated DCs in tumors. Overall, our data reveal the direct involvement of the gut microbiota in trastuzumab efficacy, suggesting that manipulation of the gut microbiota is an optimal future strategy to achieve a therapeutic effect or to exploit its potential as a biomarker for treatment response. Significance: Evidence of gut microbiota involvement in trastuzumab efficacy represents the foundation for new therapeutic strategies aimed at manipulating commensal bacteria to improve response in trastuzumab-resistant patients. See related commentary by Sharma, p. 1937
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“In breast cancer, high baseline gut microbiota alpha diversity has been associated with response to both neoadjuvant HER2 blockade and neoadjuvant chemotherapy [8, 12].”
From Gut microbiota diversity is prognostic and associated with benefit from chemo-immunotherapy in metastatic triple-negative breast cancer (2025) · cites this paper as [12]
In the citing paper
“Additionally, families like Lachnospiraceae, Turicibacteraceae, and Prevotellaceae are more abundant in breast cancer patients achieving pathologic complete responses to trastuzumab-containing regimens (Di Modica et al., 2021).”
From Microbiota-centered interventions to boost immune checkpoint blockade therapies (2025) · cites this paper as Di Modica et al., 2021
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Metagenomic biomarker discovery and explanation
Segata, N., Izard, J., Waldron, L., Gevers, D., Miropolsky, L., Garrett, W. S., & Huttenhower, C. (2011) · Genome Biology · doi:10.1186/gb-2011-12-6-r60 · Cited by 16,192
Slamon, D. J., Clark, G. M., Wong, S. G., Levin, W. J., Ullrich, A., & McGuire, W. L. (1987) · Science · doi:10.1126/science.3798106 · Cited by 11,760
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors
Routy, B., Le Chatelier, E., Derosa, L., Duong, C. P. M., Alou, M. T., Daillère, R., Fluckiger, A., Messaoudene, M., Rauber, C., Roberti, M. P., et al. (2018) · Science · doi:10.1126/science.aan3706 · Cited by 5,671
Charoentong, P., Finotello, F., Angelova, M., Mayer, C., Efremova, M., Rieder, D., Hackl, H., & Trajanoski, Z. (2017) · Cell Reports · doi:10.1016/j.celrep.2016.12.019 · Cited by 5,041
Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients
Gopalakrishnan, V., Spencer, C. N., Nezi, L., Reuben, A., Andrews, M. C., Karpinets, T. V., Prieto, P. A., Vicente, D., Hoffman, K., Wei, S. C., et al. (2018) · Science · doi:10.1126/science.aan4236 · Cited by 4,812 · cited 2×
“This intervention has also been under investigation for immune checkpoint inhibitor agents (49) based on a similar reduction in bacteria associated with fiber consumption found in NR patients (15).”
BackgroundRecognition of Commensal Microflora by Toll-Like Receptors Is Required for Intestinal Homeostasis
Rakoff-Nahoum, S., Paglino, J., Eslami-Varzaneh, F., Edberg, S., & Medzhitov, R. (2004) · Cell · doi:10.1016/j.cell.2004.07.002 · Cited by 4,251
Cited by
Sorted by citations
Modulating gut microbiome in cancer immunotherapy: Harnessing microbes to enhance treatment efficacy
Kang, X., Lau, H. C.-H., & Yu, J. Q. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101478 · Cited by 172
Cheng, Y., Tan, G., Zhu, Q., Wang, C., Ruan, G., Ying, S., Qie, J., Hu, X., Xiao, Z., Xu, F., et al. (2023) · Gut Microbes · doi:10.1080/19490976.2023.2284247 · Cited by 147
Wu, H., Leng, X., Liu, Q., Mao, T., Jiang, T., Liu, Y., Li, F., Cao, C., Fan, J., Chen, L., et al. (2023) · Cancer Research · doi:10.1158/0008-5472.can-22-2593 · Cited by 154
Bouyahya, A., Omari, N. E., Hachlafi, N. E., Jemli, M. E., Hakkour, M., Balahbib, A., Menyiy, N. E., Bakrim, S., Mrabti, H. N., Khouchlaa, A., et al. (2022) · Molecules · doi:10.3390/molecules27103286 · Cited by 123
The gut microbiome and cancer: from tumorigenesis to therapy
Nobels, A., van Marcke, C., Jordan, B. F., Hul, M. V., & Cani, P. D. (2025) · Nature Metabolism · doi:10.1038/s42255-025-01287-w · Cited by 126
Metadata
- Authors
- Di Modica, M., Gargari, G., Regondi, V., Bonizzi, A., Arioli, S., Belmonte, B., De Cecco, L., Fasano, E., Bianchi, F., Bertolotti, A., Tripodo, C., Villani, L., Corsi, F., Guglielmetti, S., Balsari, A., Triulzi, T., & Tagliabue, E.
- Affiliations
- 1Molecular Targeting Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
- University of Milan (IT)
- University of Palermo (IT)
- 5Platform of Integrated Biology, Department of Applied Research and Technology Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
- IFOM (IT)
- Istituti Clinici Scientifici Maugeri (IT)
- Corresponding author
- Tagliabue, Elda
- ORCID
- Venue
- Cancer Research
- Published
- 2021-01-22
- Volume
- 81
- Issue
- 8
- Pages
- 2195-2206
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W3122301327
- Cited by
- 184
- References
- 54
- Citations by year
- 2026: 29 · 2025: 42 · 2024: 45 · 2023: 38 · 2022: 23 · 2021: 7
- FWCI
- 9.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- BOA (University of Milano-Bicocca) (submittedVersion)
- Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion)
- Funders
- AIRC (IG 2017, ID. 20264)
- FIRC-AIRC fellowship (ID. 22304)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Oncology › HER2/EGFR in Cancer Research
- Keywords
- gut microbiota, trastuzumab, HER2-positive breast cancer, antibiotic-induced dysbiosis, fecal microbiota transplantation, neoadjuvant therapy, treatment response biomarkers, dendritic cell activation, IL-12, CD4+ T cells, interferon signature, microbiome diversity, trastuzumab resistance, immunotherapy
- MeSH terms
- Trastuzumab, Gastrointestinal Microbiome, Fecal Microbiota Transplantation, Antineoplastic Agents, Immunological, Animals, Anti-Bacterial Agents, Breast Neoplasms, Bridged-Ring Compounds, Cyclophosphamide, Dendritic Cells, Doxorubicin, Female, Humans, Immune System, Interferons, Nitric Oxide, Streptomycin, Vancomycin, CD4-Positive T-Lymphocytes, Cytokines, Treatment Outcome, Interleukin-12, Erb-b2 Receptor Tyrosine Kinases, Immunity, Mucosal, Neoadjuvant Therapy, Taxoids, Mice, Granzymes, Tumor Microenvironment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review