Development and validation of a prognostic model for colon cancer based on mitotic gene signatures and immune microenvironment analysis.

ABSTRACT:

Background

Mitotic processes play a pivotal role in tumor progression and immune responses. However, the correlation between mitosis-related genes, clinical outcomes, and the tumor microenvironment (TME) in colon cancer remains unclear. This study aims to develop a prognostic and therapeutic significance model for colon cancer based on mitosis-related genes.

Methods

RNA expression profiles and clinical data of 453 colon cancer patients were downloaded from The Cancer Genome Atlas (TCGA). Mitosis-related genes were selected from the MsigDb database. The gene model was constructed using differential analysis, univariate and multivariate Cox regression, and Lasso regression analyses. The predictive model was validated using data from the GSE17536, GSE17537, and GSE39582 dataset

SUBMITTER: Gu C 

PROVIDER: S-EPMC11464972 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature