Intratumoral microbiome is driven by metastatic site and associated with immune histopathological parameters: An ancillary study of the SHIVA clinical trial

微生物群 活检 肺癌 免疫系统 癌症 医学 内科学 β多样性 肿瘤科 生物 病理 物种丰富度 免疫学 生物信息学 古生物学
作者
Marc Hilmi,Maud Kamal,Sophie Vacher,Célia Dupain,Sabrina Ibadioune,Maral Halladjian,Marie Paule Sablin,Grégoire Marret,Zahra Ajgal,Michèle Nijnikoff,Anne Vincent‐Salomon,Zakhia El Beaino,Nicolas Servant,Sylvain Dureau,Harry Sokol,Rémy Nicolle,Christophe Le Tourneau,Ivan Bièche,Cindy Neuzillet
出处
期刊:European Journal of Cancer [Elsevier BV]
卷期号:183: 152-161 被引量:21
标识
DOI:10.1016/j.ejca.2023.01.024
摘要

Abstract

Background

Data on the role of the microbiota in cancer have accumulated in recent years, with particular interest in intratumoral bacteria. Previous results have shown that the composition of intratumoral microbiome is different depending on the type of primary tumour and that bacteria from the primary tumour could migrate to metastatic sites.

Methods

Seventy-nine patients with breast, lung, or colorectal cancer and available biopsy samples from lymph node, lung, or liver site, treated in the SHIVA01 trial were analysed. We performed bacterial 16S rRNA gene sequencing on these samples to characterise the intratumoral microbiome. We assessed the association between microbiome composition, clinicopathological characteristics, and outcomes.

Results

Microbial richness (Chao1 index), evenness (Shannon index) and beta-diversity (Bray Curtis distance) were associated with biopsy site (p = 0.0001, p = 0.03 and p < 0.0001, respectively) but not with primary tumour type (p = 0.52, p = 0.54 and p = 0.82, respectively). Furthermore, microbial richness was inversely associated with tumour-infiltrating lymphocytes (TILs, p = 0.02), and PD-L1 expression on immune cells (p = 0.03), or assessed by Tumor Proportion Score (TPS, p = 0.02) or Combined Positive Score (CPS, p = 0.04). Beta-diversity was also associated with these parameters (p < 0.05). Patients with lower intratumoral microbiome richness had shorter overall survival (p = 0.03) and progression-free survival (p = 0.02) in multivariate analysis.

Conclusion

Biopsy site, rather than primary tumour type, was strongly associated with microbiome diversity. Immune histopathological parameters such as PD-L1 expression and TILs were significantly associated with alpha and beta-diversity supporting the cancer-microbiome-immune axis hypothesis.

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