Enriched Pathways in Gut Microbiome Predict Response to Immune Checkpoint Inhibitor Treatment Across Demographic Regions and Various Cancer Types

Authors

Xunhui Cai
Jennifer Y Cho
Lijun Chen
Yufeng Liu
Fenghu Ji
Katia Salgado
Siyi Ge
Dehua Yang
Hui Yu
Jianbo Shao
P Andrew Futreal
Boris Sepesi
Don Gibbons
Yaobing Chen
Guoping Wang
Chao Cheng
Meng Wu
Jianjun Zhang
Ansel Hsiao
Tian Xia

Publication Date

4-18-2025

Journal

iScience

DOI

10.1016/j.isci.2025.112162

PMID

40151642

PMCID

PMC11937697

PubMedCentral® Posted Date

3-4-2025

PubMedCentral® Full Text Version

Post-print

Abstract

Understanding the effect of gut microbiota function on immune checkpoint inhibitor (ICI) responses is urgently needed. Here, we integrated 821 fecal metagenomes from 12 datasets to identify differentially abundant genes and construct random forest models to predict ICI response. Gene markers demonstrated excellent predictive performance, with an average area under the curve (AUC) of 0.810. Pathway analyses revealed that quorum sensing (QS), ABC transporters, flagellar assembly, and amino acid biosynthesis pathways were enriched between responders (R) and non-responders (NRs) across 12 datasets. Furthermore,

Keywords

Microbiology, Bioinformatics, Cancer

Published Open-Access

yes

Recommended Citation

Cai, Xunhui; Cho, Jennifer Y; Chen, Lijun; et al., "Enriched Pathways in Gut Microbiome Predict Response to Immune Checkpoint Inhibitor Treatment Across Demographic Regions and Various Cancer Types" (2025). Faculty, Staff and Student Publications. 3158.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/3158