Research On The Specific Down-regulation Of LncRNA In Gastric Cancer Based On WGCNA

Gastric cancer,one of the common malignant tumors of the digestive system,has severely affected human health.Traditional gastric cancer diagnosis methods often bring certain physical and psychological pain to patients due to its uncertainty and repetitiveness.In order to reduce the burden on patients and obtain a higher diagnosis rate and penetration rate,this article uses WGCNA and enrichment analysis and other biological methods to explore in depth through differential gene utilization,aiming to find a new type of biomarker-long non-coding RNA(lncRNA),as a specific indicator that can determine the occurrence of gastric cancer.Firstly,this paper used the gastric cancer gene expression data in the GEO gene database to perform differential analysis to screen for down-regulated lncRNAs with differential expression after preprocessing.Then use the multi-group gene database to verify the common differential nature of gastric cancer,and use the gene expression data of gastrointestinal tumor tissue and the gene expression data of non-gastrointestinal tumor tissue to determine the specificity of the common differential gene.This resulted in two biomarker candidates,PCAT18 and LINC01133.Secondly,we use R language to process the gene data of outlier sample removal and scale-free network determination,and then construct a gene co-expression network of gastric cancer gene expression data by weighted gene co-expression network analysis(WGCNA).With the help of the dynamic shear tree method,the network is divided into 5 effective clustering modules with the highest connectivity,and the modules where the two candidates are located are obtained.Then use Cytoscape to visualize the modules with PCAT18 and LINC01133 as key genes.Finally,based on the principle that the expression patterns in the same module are highly similar,the co-expression module is used as the basis for exploring the biological function and metabolic pathway connections between the two candidate markers and gastric cancer,and GO enrichment analysis and KEGG pathway analysis are performed.In this way,30 molecular functions and 10 major metabolic pathways related to the co-expression module and gastric cancer were analyzed.We understand the mechanism of action of two specifically down-regulated lncRNAs in the occurrence and development of gastric cancer,and explore the possible biologically significant relationship between them and gastric cancer.It is proposed that PCAT18 and LINC01133 have great potential as diagnostic biomarkers for gastric cancer.