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Predictable regulation of survival by intratumoral microbe-immune crosstalk in patients with lung adenocarcinoma

Authors :
Shuo Shi
Yuwen Chu
Haiyan Liu
Lan Yu
Dejun Sun
Jialiang Yang
Geng Tian
Lei Ji
Cong Zhang
Xinxin Lu
Source :
Microbial Cell, Vol 11, Pp 29-40 (2024)
Publication Year :
2024
Publisher :
Shared Science Publishers OG, 2024.

Abstract

Intratumoral microbiota can regulate the tumor immune microenvironment (TIME) and mediate tumor prognosis by promoting inflammatory response or inhibiting anti-tumor effects. Recent studies have elucidated the potential role of local tumor microbiota in the development and progression of lung adenocarcinoma (LUAD). However, whether intratumoral microbes are involved in the TIME that mediates the prognosis of LUAD remains unknown. Here, we obtained the matched tumor microbiome and host transcriptome and survival data of 478 patients with LUAD in The Cancer Genome Atlas (TCGA). Machine learning models based on immune cell marker genes can predict 1- to 5-year survival with relative accuracy. Patients were stratified into high- and low-survival-risk groups based on immune cell marker genes, with significant differences in intratumoral microbial communities. Specifically, patients in the high-risk group had significantly higher alpha diversity (p < 0.05) and were characterized by an enrichment of lung cancer-related genera such as Streptococcus. However, network analysis highlighted a more active pattern of dominant bacteria and immune cell crosstalk in TIME in the low-risk group compared to the high-risk group. Our study demonstrated that intratumoral microbiota-immune crosstalk was strongly associated with prognosis in LUAD patients, which would provide new targets for the development of precise therapeutic strategies.

Details

Language :
English
ISSN :
23112638
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Microbial Cell
Publication Type :
Academic Journal
Accession number :
edsdoj.55b43cce1dc140e69845da1d36ee7653
Document Type :
article
Full Text :
https://doi.org/10.15698/mic2024.02.813