A Novel Glycolysis-Related Long Noncoding RNA Signature for Predicting Overall Survival in Gastric Cancer

• DOI: 10.3389/pore.2022.1610643
• Publication Date: 2022-11-07T04:11:20Z
• Authors: Jianmin Zeng; Man Li; Kefan Dai; Bingyu Zuo; Jianhui Guo; Lu Zang
• Keywords: Univariate; Nomogram; Gene signature

Background: The aim of this study was to construct a glycolysis-related long noncoding RNA (lncRNA) signature predict the prognosis patients with gastric cancer (GC). Methods: Glycolysis-related genes were obtained from Molecular Signatures Database (MSigDB), lncRNA expression profiles and clinical data GC Cancer Genome Atlas database (TCGA). Furthermore, univariate Cox regression analysis, Least Absolute Shrinkage Selection Operator (LASSO) multivariate analysis used prognostic signature. specificity sensitivity verified by receiver operating characteristic (ROC) curves. We constructed nomogram 1-year, 3-year, 5-year survival rates patients. Besides, relationship between immune infiltration risk score analyzed in high low groups. Multi Experiment Matrix (MEM) analyze target genes. R "limma" package mRNA levels TCGA. Gene set enrichment (GSEA) employed further explore biological pathways high-risk group gene. Results: A conducted based on nine lncRNAs, which are AL391152.1, AL590705.3, RHOXF1-AS1, CFAP61-AS1, LINC00412, AC005165.1, AC110995.1, AL355574.1 SCAT1. area under ROC curve (AUC) values at 0.765, 0.828 0.707 training set, 0.669, 740 0.807 testing respectively. In addition, could efficaciously Then, we discovered that scores more likely respond immunotherapy. GSEA revealed mainly associated calcium signaling pathway, extracellular matrix (ECM) receptor interaction, focal adhesion group, also indicated SBSPON is related aminoacyl-tRNA biosynthesis, citrate cycle, fructose mannose metabolism, pentose phosphate pathway pyrimidine metabolism. Conclusion: Our shows can may provide new insights into immunotherapeutic strategies.