Multi-omics integration and machine learning-driven construction of an immunogenic cell death prognostic model for colon cancer and functional validation of FCGR2A

The 15-gene ICD-based model effectively predicts COAD prognosis, reflects immune microenvironment heterogeneity, and offers insights for individualized treatment planning.

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Publication Details

Journal
Frontiers in Pharmacology
Published
2026-01-22
DOI
https://doi.org/10.3389/fphar.2025.1746907
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
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article

Multi-omics integration and machine learning-driven construction of an immunogenic cell death prognostic model for colon cancer and functional validation of FCGR2A

Haipeng Wang, Weijia Wang, N. Chen
Frontiers in Pharmacology
Cancer Immunotherapy and Biomarkers
article

Multi-omics integration and machine learning-driven construction of an immunogenic cell death prognostic model for colon cancer and functional validation of FCGR2A

Haipeng Wang, Weijia Wang, N. Chen
article en

Abstract

The 15-gene ICD-based model effectively predicts COAD prognosis, reflects immune microenvironment heterogeneity, and offers insights for individualized treatment planning.

Frontiers in PharmacologyVol. 16
Shanxi Medical University (CN), Shaanxi Provincial People's Hospital (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN), Shanxi Provincial People’s Hospital (CN)
Good health and well-being
Openalex Percentile: Top 81%
Cancer Immunotherapy and Biomarkers
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