Chemotherapy-induced gut microbiota taxonomic deviation and its association with outcomes and toxicities in breast cancer: CANTO microbiota.

J Joana M. Ribeiro (Gustave Roussy and Paris-Saclay University, Villejuif, France) A Antonio Di Meglio M Marine Fidelle (Gustave Roussy) J Julie Havas A Anne-Laure Martin C Catherine Gaudin (Unicancer, Paris, France) W William Jacot C Claire Cheymol (Centre Oscar Lambret, Lille, France) C Coureche-Guillaume Kaderbhai (Medical Oncology Department, Université Bourgogne-Europe, Centre Georges-François Leclerc, Dijon, France) A Anne Kieffer (Institut de Cancerologie de Lorraine, Vandoeuvre, France) O Olivier Tredan P Paul H. Cottu (Medical Oncology, Institut Curie, Universite, Paris, France) F François Cherifi M Mario Campone (Institut de Cancérologie de l’Ouest Angers-Nantes, Saint-Herblain, France) C Carole Tarpin (Institut Paoli-Calmettes, Marseille, France) O Olivier Rigal (Centre Henri Becquerel, Rouen, France) I Ines Luis (Cancer Survivorship Program, Université Paris-Saclay, UVSQ, Gustave Roussy, Inserm, CESP, Villejuif, France) L Lisa Derosa (Gustave Roussy) L Laurence Zitvogel

Abstract

2589 Background: Gut microbiota (GM) modulates immunotherapy (IT) efficacy and toxicity, but its impact on outcomes in breast cancer (BC) patients (pts) remains unclear. TOPOSCORE is a GM-derived score reflecting the ecosystem structure that classifies pts into SIG1+ or SIG2+ profiles, the latter being enriched in obligate anaerobes with immunostimulatory proprieties and associated with favorable IT outcomes. Methods: CANTO-Microbiota (target N=1000) is an ongoing substudy of the prospective CANTO cohort (NCT01993498). Stool samples were available from 209 pts (202 pre-treatment (Tx) and 94 post-Tx [after surgery, chemotherapy (CT) ±targeted-, and/or radiotherapy]), enrolled 2015-2024. GM was profiled by shotgun metagenomics and assessed as TOPOSCORE (SIG1+ vs. SIG2+) pre- and post-Tx. Associations of GM with invasive (iDFS), distant disease-free (DDFS), and overall survival (OS) (Kaplan–Meier and Cox regression models), and with treatment-related toxicities (multivariable logistic regression). Post-treatment analyses were landmark-based. Results: Median age was 46.6 years, 72% were premenopausal, 79% had stage II-III, 36% HER2+, 34% HR+/HER2-, and 30% TN, 89% received (neo)adjuvant CT, 15% IT and 33% anti-HER2-therapy. Median follow-up was 2.2 years. At baseline, 74% of pts had a SIG2+ profile. This profile was not associated with clinicopathologic features or clinical outcomes; however, SIG2+ was associated with a reduced incidence of post-treatment diarrhea and long-term neuropathy, and remained independently protective against neuropathy (OR 0.25, 95% CI 0.09–0.64; p=0.005). Paired analyses (n=87) revealed a significant shift in TOPOSCORE signatures post-treatment, resulting in an increase in SIG1+ prevalence from 28% to 47% (p=0.004), In univariable landmark Cox analyses, post-treatment SIG1+ was associated with worse iDFS (HR 5.0, 95% CI 1.1–4.2; p=0.04), DDFS (p=0.0053) and OS (p=0.04). In multivariate model adjusted for age, stage, and subtype, post-treatment SIG2+ remained independently protective for iDFS (HR 0.17, 95% CI 0.03–0.88; p=0.035). Assessing longitudinal GM trajectories, worsening patterns (SIG2+→SIG1+ in 28% and persistent SIG1+→SIG1+ in 20% of pts ) were associated with an increased risk of iDFS (HR 5.25, 95% CI 1.11–24.7; p = 0.036). Post-treatment TOPOSCORE associations with outcomes were validated in two independent prospective cohorts outside France. Conclusions: Chemotherapy is associated with measurable shifts in GM composition that correlated with treatment-related long-term toxicity and outcomes. These findings support the evaluation of microbiota centered interventions during treatment in eBC.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 2589-2589
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (19)

J

Joana M. Ribeiro

Gustave Roussy and Paris-Saclay University, Villejuif, France

A

Antonio Di Meglio

M

Marine Fidelle

Gustave Roussy

J

Julie Havas

A

Anne-Laure Martin

C

Catherine Gaudin

Unicancer, Paris, France

W

William Jacot

C

Claire Cheymol

Centre Oscar Lambret, Lille, France

C

Coureche-Guillaume Kaderbhai

Medical Oncology Department, Université Bourgogne-Europe, Centre Georges-François Leclerc, Dijon, France

A

Anne Kieffer

Institut de Cancerologie de Lorraine, Vandoeuvre, France

O

Olivier Tredan

P

Paul H. Cottu

Medical Oncology, Institut Curie, Universite, Paris, France

F

François Cherifi

M

Mario Campone

Institut de Cancérologie de l’Ouest Angers-Nantes, Saint-Herblain, France

C

Carole Tarpin

Institut Paoli-Calmettes, Marseille, France

O

Olivier Rigal

Centre Henri Becquerel, Rouen, France

I

Ines Luis

Cancer Survivorship Program, Université Paris-Saclay, UVSQ, Gustave Roussy, Inserm, CESP, Villejuif, France

L

Lisa Derosa

Gustave Roussy

L

Laurence Zitvogel