A novel prognostic risk score model based on immune-related genes in patients with stage IV colorectal cancer.

ABSTRACT:

Purpose

The aims of the present study were to explore immune-related genes (IRGs) in stage IV colorectal cancer (CRC) and construct a prognostic risk score model to predict patient overall survival (OS), providing a reference for individualized clinical treatment.

Methods

High-throughput RNA-sequencing, phenotype, and survival data from patients with stage IV CRC were downloaded from TCGA. Candidate genes were identified by screening for differentially expressed IRGs (DE-IRGs). Univariate Cox regression, LASSO, and multivariate Cox regression analyses were used to determine the final variables for construction of the prognostic risk score model. GSE17536 from the GEO database was used as an external validation dataset to evaluate the predictive power of the model.

Results

SUBMITTER: Xu K 

PROVIDER: S-EPMC7584813 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature