Integrating prognosis-related genes with immune-related gene signature for development and validation of a survival stratification model for early-stage colorectal cancer.

ABSTRACT:

Background

Current prognostic factors are inadequate for identifying patients at risk of disease recurrence after treatment for early-stage colorectal cancer (CRC). Integrating genes into gene pairs, considering the relative ranking of gene expression levels, can effectively avoid the bias due to different sequencing platforms when using the absolute values of gene expression levels. The aim of this study is to build an individualized gene index based on gene-pairs to estimate prognosis in patients with early-stage CRC and to assist in the decision-making of adjuvant chemotherapy.

Methods

Clinical samples and gene expression data are acquired from public datasets including Gene Expression Omnibus (GEO) GSE39582, GSE17536, GSE33113, GSE39084, and The Cancer Genome Atlas (TCGA

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC12554489 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature