Prediction Of LncRNA Regulating Autophagy-related Gene ATG5 In Gastric Cance Based On WGCNA Method

Objective: Based on bioinformatics methods,it predicts the possible mechanism of autophagy-related gene ATG5 regulated by lnc RNA in gastric cancer,looking for potential biomarkers and therapeutic targets for gastric cancer.Methods: Download gene expression data and clinical information of gastric cancer samples in the TCGA database;use DEseq2 data package to perform differential gene analysis on gastric cancer gene expression data;weighted gene co-expression regulatory network analysis(WGCNA)method to analyze differentially expressed genes and clinical feature information to obtain Co-expressed gene collection,find the gene module where ATG5 is located;draw ATG5 gene module co-expression network diagram and protein interaction network diagram through Cytoscape,String;use online tool Lnc Tar D to predict the regulatory relationship between lnc RNA and m RNA in ATG5 gene module;for ATG5 The m RNA of the gene module is enriched and analyzed to predict its biological function.Results: TCGA database obtained sample data,including 375 gastric cancer samples and 32 normal tissue samples.Differential gene analysis was performed.A total of 4113 m RNAs were down-regulated in gastric cancer and4258 m RNAs were up-regulated in gastric cancer;3770 lnc RNAs were downregulated in gastric cancer,and 1,520 lnc RNA is upregulated in gastric cancer.The function of tumor-related gene modules obtained by WGCNA analysis is related to the metabolic process of non-coding RNA.ATG5 has a protein interaction relationship with IGF1 R in the co-expression network.PVT1 has a targeted regulatory effect on IGF1R;ATG5 is co-expressed Gene function enrichment items include multiple signaling pathways or biological events closely related to autophagy.Conclusion: PVT1 may be the regulatory lnc RNA of ATG5,and PVT1 may affect the autophagy process of gastric cancer through its target genes IGF1 R and ATG5.