Results of GSVA for TCGA-COAD.

<div><p>Background</p><p>The exact mechanisms driving colorectal cancer (CRC) are yet to be fully elucidated. This study aims to confirm the reliability of a prognostic model for colon adenocarcinoma (COAD) by analyzing the varied expression levels of Glycolysis & Pyropto...

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Main Author:	Yongling Wang (13261656) (author)
Other Authors:	Zan Yuan (15253045) (author), Yi Lao (430082) (author), Jiangtao He (2477872) (author), Shufen Mo (21743543) (author), Kangbiao Chen (20400917) (author), Yanyan Ye (2993613) (author), Lu Huang (211625) (author)
Published:	2025
Subjects:	Medicine Cell Biology Genetics Biotechnology Immunology Developmental Biology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified receiver operating characteristic cancer genome atlas negative groups based immune cell soakage exhibits predictive capability derived risk scores varied expression levels survival rates revealed risk groups exhibited differentially expressed genes developed using g colon adenocarcinoma tissues set enrichment analysis tcga database (< coad prognosis model risk groups expressed differentially colon adenocarcinoma two groups risk cohort prognostic analysis predictive model immune cells pathway enrichment enrichment identified xlink "> tcga database study aims space beneath sample gene prognostic model offers utility meier curves mechanistic investigation hazard ratio functions associated fully elucidated curve indicated curve greater coad sufferers coad patients clinical parameters clinical details ci 2 alongside single
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Results of GSVA for TCGA-COAD.

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