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ABSTRACT: Background
We used bioinformatic tools to dichotomize 157 non-M3 AML patients from the TCGA dataset based on the presence or absence of TP53 mutations, and screened out a key gene related to TP53 mutation for future analysis.Methods
DEGs were analyzed by R package "DESeq2" and then run GSEA, GO enrichment, KEGG pathway and PPI network. Hub genes were selected out according to MCC. Log-rank (Mantel-Cox) test was used for survival analysis. Mann-Whitney U's nonparametric t test and Fisher's exact test was used for continuous and categorical variables respectively. p value< 0.05 was considered to be statistical significance.Results
TNFRSF4 was final screened out as a key gene. Besides TP53 mutation (p = 0.0118), high TNFRSF4
SUBMITTER: Gu S
PROVIDER: S-EPMC7197135 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature