Mining and analysis of prognosis-related mutant gene groups in colon cancer based on The Cancer Genome Atlas

Objective The Cancer Genome Atlas (TCGA) database was used to screen for gene mutations that significantly differentiated colon cancer and significantly affected the prognosis of colon cancer patients. Methods The colon cancer single nucleotide mutation data and expression profile data were downloaded from the TCGA database, and the genes with significant differences after single nucleotide mutations were screened by the Wilcoxon rank sum test in the R 3.5.0 environment, and the survival package was used to screen for genes that significantly affected survival prognosis after single nucleotide mutations. Finally, the results were taken as the intersection, and there were significant differences in the expression levels after mutation, and the genes with significant differences in survival rate. The gene map was visualized by waterfall plots to analyze the main mutation types, mutation effects, mutations and clinical pathological factors. Results A total of 42 genes with statistically significant differences were found, including MBD6, BCR, ZNF407, ZC3H18, etc. The main mutation types were missense mutations, and some of the mutations were related to TNM staging and gender. Conclusions Excavating a significant difference in the expression of colon cancer with a significant difference in the survival rate of the mutant gene helps us to understand the key gene mutations in the development and progression of colon cancer. Therefore, the influence of gene mutation group on the occurrence, development and outcome of colon cancer is grasped, and it provides a reference for future research on the regulation mechanism. It may be used as a prognostic marker and therapeutic target for colon cancer. Key words: Colonic neoplasms; Gene mutation; Prognosis; Biomarker