biostudies-literatureUnknown13Hou LBackground: Colon cancer is the fifth most common cause of cancer-related death worldwide, and despite significant advances in related treatment, the prognosis of colon cancer patients remains poor. Objective: This study performs systematic bioinformatics analysis of prognostic-associated RNA processing factor genes in colon cancer using the Cancer Related Genome Atlas database to explore their role in colon carcinogenesis and prognosis and excavate potential therapeutic targets. Methods: Data sets of colon cancer patients were obtained from GEO and TCGA databases. Univariate cox analysis was performed on the GSE39582 training set to identify prognosis-associated RNA processing factor genes and constructed a muticox model. The predictive performance of the model was vaFrontiers in genetics979001https://www.ebi.ac.uk/biostudies/studies/S-EPMC9538339biostudies-literatureApplication of RNA processing factors for predicting clinical outcomes in colon cancer.PMC9538339Hou LHuang FQiu JLiu YChen GWang ZZhao HfalseApplication of RNA processing factors for predicting clinical outcomes in colon cancer.Background: Colon cancer is the fifth most common cause of cancer-related death worldwide, and despite significant advances in related treatment, the prognosis of colon cancer patients remains poor. Objective: This study performs systematic bioinformatics analysis of prognostic-associated RNA processing factor genes in colon cancer using the Cancer Related Genome Atlas database to explore their role in colon carcinogenesis and prognosis and excavate potential therapeutic targets. Methods: Data sets of colon cancer patients were obtained from GEO and TCGA databases. Univariate cox analysis was performed on the GSE39582 training set to identify prognosis-associated RNA processing factor genes and constructed a muticox model. The predictive performance of the model was va2022-01-01T00:00:00Z20222026-05-28T03:28:34.124Z2024-11-20T17:13:08.825ZS-EPMC95383393621215710.3389/fgene.2022.979001