Identification of prognostic biomarkers in colorectal cancer through multi-omics profiling of programmed cell death pathways.

ABSTRACT:

Background

Programmed cell death (PCD) pathways, including autophagy, ferroptosis, cuproptosis, neutrophil extracellular trap formation (NETosis), and paraptosis, are central to tumor biology and hold potential as therapeutic targets in colorectal cancer (CRC). The aim of this study is to use multi-omics data to analyze the role of PCD in CRC.

Methods

We conducted a multi-omics analysis using data from The Cancer Genome Atlas (TCGA), single-cell sequencing, and spatial transcriptomics to investigate the expression profiles, prognostic significance, and functional effects of PCD-associated genes in CRC. Key prognostic genes were identified through gene set variation analysis (GSVA), single-sample gene set enrichment analysis (ssGSEA), univariate Cox regression, and least abso

SUBMITTER: Qiao S 

PROVIDER: S-EPMC12432933 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature