Identification and validation of a novel cellular senescence-related lncRNA prognostic signature for predicting immunotherapy response in stomach adenocarcinoma

• DOI: 10.3389/fgene.2022.935056
• Publication Date: 2022-08-25T08:18:36Z
• Authors: Cheng Zeng; Yu Liu; Rong He; Xiaohuan Lu; Yuyang Dai; Guoping Qi; Jingsong Liu; Jianzhong Deng; Wenbin Lu; Jianhua Jin; Qian Liu
• Keywords: Nomogram; Senescence

Background: Cellular senescence is a novel hallmark of cancer associated with patient outcomes and tumor immunotherapy. However, the value cellular senescence-related long non-coding RNAs (lncRNAs) in predicting prognosis immunotherapy response for stomach adenocarcinoma (STAD) patients needs further investigation. Methods: The transcriptome corresponding clinical information STAD genes were, respectively, downloaded from Cancer Genome Atlas (TCGA) CellAge databases. Differential expression analysis coexpression were performed to obtain lncRNAs. Univariate regression least absolute shrinkage selection operator (LASSO) Cox conducted establish lncRNA prognostic signature (CSLPS). Next, survival curve, ROC nomogram developed assess capacity predictive models. Moreover, principal component (PCA), gene set enrichment (GSEA), microenvironment (TME), mutation burden (TMB), microsatellite instability (MSI), immune dysfunction exclusion (TIDE) score between high- low-risk groups. Results: A CSLPS involving fifteen lncRNAs (REPIN1-AS1, AL355574.1, AC104695.3, AL033527.2, AC083902.1, TYMSOS, LINC00460, AC005165.1, AL136115.1, AC007405.2, AL391152.1, SCAT1, AC129507.1, AL121748.1, ADAMTS9-AS1) was developed. According nomogram, risk model based on an independent factor could predict 1-, 3-, 5-year overall patients. GSEA suggested that high-risk group mainly Toll-like receptor, JAK/STAT, NOD-like chemokine signaling pathways. Further revealed better had higher TMB, proportion high (MSI-H), infiltration, lower TIDE scores. Conclusion: fifteen-CSlncRNA outcomes, may be more sensitive