基于TCGA和HADb数据库筛选自噬相关基因 在舌癌中的差异表达及对预后的影响

Abstract

Abstract: Objective:? To explore the role of autophagy related genes (ATGs) in the pathogenesis of tongue cancer based on TCGA and HADb database, and to establish a prognosis prediction model of tongue cancer patients based on ATGs expression profile. Methods:?The differential expression of ATGs in tongue cancer was determined by Wilcox test, and the correlation between ATGs and overall survival rate was analyzed by Cox regression. Go and KEGG analysis revealed the signal pathway and biological process related to autophagy gene in tongue cancer. Finally, the relationship between ATGs and clinical characteristics of tongue cancer patients was evaluated. Results:? ATGs in tongue cancer and adjacent tissues were differentially expressed. Five differentially expressed genes (VEGFA, ATG9B, WDR45, BAK1, VAMP3) were significantly related to the overall survival rate of patients with tongue cancer, which could predict the prognosis of survival. Go and KEGG showed significant enrichment of several key autophagy related pathways, such as apoptosis, P53 signaling pathway, autophagy function, EGFR tyrosine kinase inhibitor resistance,etc. Three ATGs (ATG9B, VEGFA, WDR45) were significantly correlated with different clinicopathological features. Conclusions:?We identified five differential autophagy genes, VEGFA, ATG9B, WDR45, BAK1 and VAMP3, which can predict the prognosis of tongue cancer, and have reference value for autophagy research in the field of tongue cancer.

Key words: autophagy, tongue cancer, prognosis, apoptosis, signal pathway

References 21

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Differential expression of autophagy related genes in tongue cancer and its influence on prognosis based on TCGA and HADb database

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