A multi-omic machine learning approach deconstructs the role of amino acid metabolism in the immune microenvironment and prognosis of colon adenocarcinoma

Histidine metabolism is a critical regulator of the COAD immune microenvironment. Our prognostic model, the HRM, provides a clinically relevant tool for risk stratification, while its key mediator, TRIP6, represents a novel therapeutic target linking tumor metabolism to immune evasion.

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Publication Details

Journal
Frontiers in Immunology
Published
2025-12-08
DOI
https://doi.org/10.3389/fimmu.2025.1719555
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00
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article

A multi-omic machine learning approach deconstructs the role of amino acid metabolism in the immune microenvironment and prognosis of colon adenocarcinoma

Chenfei Jiang, Hua Zhong, Yi Zhang, Wenbing Zhang et al.
Frontiers in Immunology
Ferroptosis and cancer prognosis
article

A multi-omic machine learning approach deconstructs the role of amino acid metabolism in the immune microenvironment and prognosis of colon adenocarcinoma

Chenfei Jiang, Hua Zhong, Yi Zhang, Wenbing Zhang, Nuo Chen, A. Liu, Zirui He, J. Jin
article en

Abstract

Histidine metabolism is a critical regulator of the COAD immune microenvironment. Our prognostic model, the HRM, provides a clinically relevant tool for risk stratification, while its key mediator, TRIP6, represents a novel therapeutic target linking tumor metabolism to immune evasion.

Frontiers in ImmunologyVol. 16
Ruijin Hospital (CN), Anqing City Hospital (CN), First People's Hospital of Nanning (CN), Nanjing Medical University (CN), Air Force Medical University (CN)
Openalex Percentile: Top 43%
Ferroptosis and cancer prognosis
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A multi-omic machine learning approach deconstructs the role of amino acid metabolism in the immune microenvironment and prognosis of colon adenocarcinoma — Chenfei Jiang, Hua Zhong, et al. · Frontiers in Immunology (2025) | TGRS Research Map | TGRS