Construction and validation of prognostic model based on autophagy-related lncRNAs in gastric cancer

Biocell

article

MENGQIU CHENG¹  WEI CAO¹  GUODONG CAO¹  XIN XU¹  BO CHEN¹ 

[1] Department of General Surgery, The First Affiliated Hospital of Anhui Medical University;Anhui Medical University

关键词: Gastric cancer;    Prognosis;    Autophagy;    Nomogram;    Long non-coding RNAs;   

DOI  :  10.32604/biocell.2021.015608

学科分类：仪器

来源: Biocell

【 摘 要 】

Gastric cancer (GC) is one of the most common cancer worldwide. Although emerging evidence indicates thatautophagy-related long non-coding RNA (lncRNA) plays an important role in the progression of GC, the prognosis ofGC based on autophagy is still deficient. The Cancer Genome of Atlas stomach adenocarcinoma (TCGA-STAD) datasetwas downloaded and separated into a training set and a testing set randomly. Then, 24 autophagy-related lncRNAs werefound strongly associated with the survival of the TCGA-STAD dataset. 11 lncRNAs were selected to build the risk scoremodel through the least absolute shrinkage and selection operator (LASSO) regression. Every patient got a risk score (RS),and patients were separated into a high-risk group and a low-risk group due to the median RS. The multivariate Coxanalysis showed that the RS could be an independent prognosis predictor. The Kaplan-Meier survival analysis and theReceiver Operating Characteristic (ROC) curve indicated the model had an excellent prediction effect. Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the mRNAs in the prognosticnetwork were mainly involved in the autophagy and ubiquitin-like protein ligase binding. Gene Set EnrichmentAnalysis (GSEA) analysis uncovered that the differentially expressed genes (DEGs) in the high-risk group partiallyparticipated in the ECM receptor interaction and other signaling pathways. Our results indicated that the risk scoremodel based on the autophagy-related lncRNAs performed well in the prediction of prognosis for patients with GC.

【 授权许可】

CC BY