利用癌症基因组图谱（TCGA）数据库，筛选结肠癌显著差异表达进而显著影响结肠癌患者预后的基因突变群。

从TCGA数据库下载结肠癌单核苷酸突变数据和表达谱数据，在R 3.5.0环境下，利用wilcoxon秩和检验法筛选单核苷酸突变后表达显著差异的基因，利用survival程序包筛选单核苷酸突变后显著影响生存预后的基因，最后将两者结果取交集，为突变后表达水平有显著性差异合并生存率有显著差异的基因。对该基因群进行瀑布图可视化，分析其主要突变类型、突变影响、突变和临床病理因素相关性。

共发现42个差异具有统计学意义的基因，包括MBD6，BCR，ZNF407，ZC3H18等，主要突变类型为错义突变，部分突变基因和TNM分期、性别相关。

挖掘结肠癌显著差异表达合并生存率显著差异的突变基因，有助于帮助我们深入理解结肠癌发生、发展过程中的关键基因突变群，从而从整体上把控基因突变群对结肠癌发生、发展、转归的影响，并为将来的调控机制研究提供参考，有可能作为结肠癌预后标志物和治疗靶点应用于临床。

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.

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.

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.

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.