Fecal, Duodenal and Tumor Microbiota Composition of Esophageal Carcinoma Patients, a Longitudinal Prospective Cohort
Menée à partir d'échantillons fécaux, tumoraux ou duodénaux prélevés sur 172 patients atteints d'un carcinome de l'oesophage et ayant reçu une chimioradiothérapie en combinaison ou non avec un inhibiteur de point de contrôle immunitaire, cette étude compare les profils microbiotiques des différents échantillons
Résumé en anglais
BACKGROUND : The microbiome has been associated with chemotherapy and immune checkpoint inhibitor (ICI) efficacy. How this pertains to resectable esophageal carcinoma (EC) is unknown. Our aim was to identify microbial signatures in resectable EC associated with response to neoadjuvant chemoradiotherapy (nCRT) with or without ICI.
METHODS : From two prospectively collected EC cohorts (n = 172 in total) treated with nCRT alone (n = 132) or a combination of nCRT and ICI (n = 40), fecal samples were available at baseline, during treatment, and pre-surgery. Additionally, in the ICI treated patients, tumor and duodenal snap frozen biopsies were collected over time. Fecal, tumor and duodenal DNA were extracted for 16S rRNA sequencing. Associations were investigated between microbiome composition pathological complete response (pCR) and progression-free survival (PFS).
RESULTS : There was a significant shift in the microbiota profile of the fecal, tumor and duodenal microbiota over time. In the total cohort, patients with a pCR had a stable fecal alpha diversity, while the diversity of poor responders decreased during treatment, p = 0.036. Pre-surgery, lower alpha diversity (<4.12) was related to worse PFS, log-rank p = 0.025. Baseline tumor biopsies of patients with short PFS had more Fusobacterium. A low baseline duodenal alpha diversity (<3.96) was associated with worse PFS, log-rank p = 0.012.
CONCLUSIONS : Lower intestinal alpha diversity was associated with worse response and survival of EC patients. In tumor biopsies Fusobacterium was more abundant in patients with poor PFS. After further mechanistic validation, these findings may aid in response prediction and the design of novel microbiome modulating treatments for EC patients.