International Journal of General Medicine (Apr 2022)
Construction of a Prognostic Signature of 10 Autophagy-Related lncRNAs in Gastric Cancer
Abstract
Wenwen Wang,1,2 Qingshan Pei,1 Lifen Wang,1 Tong Mu,1 Hua Feng1 1Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China; 2Shandong Provincial Engineering and Technological Research Center for Liver Diseases Prevention and Control, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of ChinaCorrespondence: Hua Feng, Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jing 5 Road, Jinan, Shandong, 250021, People’s Republic of China, Tel +86 531-68773293, Fax +86 531-87906348, Email [email protected]: Autophagy plays a double-edged sword role in cancers. LncRNAs could regulate cancer initiation and development at various levels. However, the role of autophagy-related lncRNAs (ARlncs) in gastric cancer (GC) remains indistinct.Methods: GC gene expression profile and clinical data were acquired from the Cancer Genome Atlas (TCGA). The prognostic signature composed of ARlncs was established via cox regression analysis. Kaplan–Meier (K-M) survival curve was adopted to show overall survival (OS). Independence and reliability of risk signature were visualized by cox regression analysis and ROC curve. A nomogram was constructed and the reliability was analyzed by ROC curve. Immune infiltrating cells and check points were also analyzed.Results: A prognostic signature was constructed which stratified GC patients into high- and low-risk groups according to risk score calculated via the 10 ARlncs including LINC01094, AC068790.7, AC090772.1, AC005165.1, PVT1, LINC00106, AC026368.1, AC090912.3, AC013652.1, UICLM. Patients in high-risk group showed a poor prognosis (p< 0.001). Cox regression analysis showed signature was an independent prognostic factor (p< 0.001). Areas under curves (AUC) of ROC for risk signature for predicting OS outweighed age, gender, grade, T, M and N, which suggested the reliability of the signature. A nomogram was constructed with risk signature, T, M, N and age and its AUC of ROC for 1-, 3-, and 5-year was 0.700, 0.730, 0.757 respectively, which showed good reliability. Macrophage M2, T cell CD8+ and T cell CD4+ memory resting had greatest difference between the two risk groups according to CIBERSORE-ABS algorithm (p< 0.001). CD274 (PD-L1), PDCD1 (PD-1) and PDCD1LG2 (PD-L2) were expressed higher in the high-risk group (p< 0.05), which implied that immunotherapy may be a good choice for these patients.Conclusion: The risk signature based on 10 ARlncs can serve as an efficacious prognostic predictor and guide the immunotherapies and precise treatment for GC patients.Keywords: gastric cancer, autophagy, TCGA, prognostic signature, immunotherapy
