Identification and Validation of a Novel Prognostic Gene Model for Colorectal Cancer.

ABSTRACT:

Aims

Colon cancer (CRC), with high morbidity and mortality, is a common and highly malignant cancer, which always has a bad prognosis. So it is urgent to employ a reasonable manner to assess the prognosis of patients. We developed and validated a gene model for predicting CRC risk.

Methods

The Gene Expression Omnibus (GEO) database was used to extract the gene expression profiles of CRC patients (N = 181) from GEO to identify genes that were differentially expressed between CRC patients and controls and then stable signature genes by firstly using both robust likelihood-based modeling with 1000 iterations and random survival forest variable hunting algorithms. Cluster analysis using the longest distance method was drawn out, and Kaplan-Meier (KM) survival analysis was

SUBMITTER: Meng Y 

PROVIDER: S-EPMC9343208 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature