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Dataset Information

Characterization of a cuproptosis-related signature to evaluate immune features and predict prognosis in colorectal cancer.


ABSTRACT:

Purpose

Cuproptosis is a newly discovered type of cell death. Little is known about the roles that cuproptosis related genes (CRGs) play in colorectal cancer (CRC). The aim of this study is to evaluate the prognostic value of CRGs and their relationship with tumor immune microenvironment.

Methods

TCGA-COAD dataset was used as the training cohort. Pearson correlation was employed to identify CRGs and paired tumor-normal samples were used to identify those CRGs with differential expression pattern. A risk score signature was constructed using LASSO regression and multivariate Cox stepwise regression methods. Two GEO datasets were used as validation cohorts for confirming predictive power and clinical significance of this model. Expression patterns of seven CRGs were evaluated

SUBMITTER: Li L 

PROVIDER: S-EPMC10299831 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature