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Integrative Analysis of Multi-Omics Data and Gut Microbiota Composition Reveals Prognostic Subtypes and Predicts Immunotherapy Response in Colorectal Cancer Using Machine Learning

2025-04-28

Abstract excerpt

<title>Abstract</title> <p>Colorectal cancer (CRC) exhibits substantial heterogeneity in molecular subtypes and clinical outcomes. We performed an integrative analysis of multi-omics data from 274 CRC patients to investigate the impact of gut microbiota composition on prognosis, identify novel subtypes, and develop a machine learning-based prognostic model. Our microbiome analysis revealed significant differences...

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Literature Corpus work
e67cd5d9-afed-57ac-9aa7-39d705077b08
DOI
10.21203/rs.3.rs-5669193/v1
Open publication

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Integrative Analysis of Multi-Omics Data and Gut Microbiota Composition Reveals Prognostic Subtypes and Predicts Immunotherapy Response in Colorectal Cancer Using Machine LearningDOI 10.21203/rs.3.rs-5669193/v1
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