A novel nomogram based on cell cycle-related genes for predicting overall survival in early-onset colorectal cancer.

ABSTRACT:

Background

Although the incidence of late-onset colorectal cancer (LOCRC) has decreased, the incidence of early-onset colorectal cancer (EOCRC) is still rising dramatically. Heterogeneity in the genomic, biological, and clinicopathological characteristics between EOCRC and LOCRC has been revealed. Therefore, the previous prognostic models based on the total CRC patient population might not be suitable for EOCRC patients. Here, we constructed a prognostic classifier to enhance the precision of individualized treatment and management of EOCRC patients.

Methods

EOCRC expression data were downloaded from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. The regulatory pathways were explored by gene set enrichment analysis (GSEA). The prognostic mode

SUBMITTER: Xiang M 

PROVIDER: S-EPMC10303343 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature