A Novel Matrisomal-Related LncRNA Signature Associated With Survival Outcome and Immune Evasion in Patients With Gastric Cancer

Abstract

BackgroundDifferent matrisomal patterns are shared across carcinomas. However, little is known about whether there exists a unique tumor matrisome that modulates GC progression and immune regulation.MethodsWe conducted a genome-wide analysis based on matrisomal-related lncRNAs (MRLs) in 375 patients with GC from the Cancer Genome Atlas (TCGA) database. Patients were split into the training set and validation set at a ratio of 1:1 using the R package cart. Pearson correlation analysis (PCA) was performed to identify lncRNAs that correlated with matrisome based on differential expression genes. Subsequently, we performed univariate Cox regression analyses and lasso Cox analysis on these lncRNAs to construct a risk model. Considering the primary effect of GRASLND on the GC prognosis, we chose it for further validation in an experimental setting.ResultsWe identified a 15-MRL signature to predict overall survival and immune cell infiltration of patients with GC. The AUC values to predict 5-year outcome in three sets were 0.89, 0.65, and 0.78, respectively. Further analyses suggested that the high-risk group showed more obvious immune cell infiltration, and demonstrated an immunologically “cold” profile. In vitro, knockdown of GRASLND could inhibit the invasion capability of GC cells, and downregulate the protein expression of crucial matrisomal-related gene MMP9.ConclusionsThe 15-MRL gene signature might serve as a relatively good predictive tool to manage patients with GC.

Comprehensive analysis to identify pseudogenes/lncRNAs-hsa-miR-200b-3p-COL5A2 network as a prognostic biomarker in gastric cancer

“…MiR-150 is involved in ECM-dependent biological processes in hepatocellular carcinoma [ 63 ]. A study has constructed a prognostic model for gastric cancer based on maternally related lncRNAs, providing a new perspective for the prognostic judgment of gastric cancer [ 64 ]. Because of the importance of lncRNAs, we predicted the pseudogenes/lncRNAs bound to miRNAs and conducted correlation and clinical correlation analyses between the predicted pseudogenes/lncRNAs and miR-200b-3p.…”

Comprehensive transcriptomic analysis of immune-related eRNAs associated with prognosis and immune microenvironment in melanoma

“…A total of 1,580 eRNAs were identified in cutaneous melanoma using the PreSTIGE algorithm as previously described ( 20 ), and the ireRNAs were further screened using correlation analysis with correlation coefficient >0.4 and P -value <0.05 as the thresholds ( 21 ). After performing univariate Cox regression analysis, those ireRNAs with P -value of <0.05 were identified as OS-associated ireRNAs (OS-ireRNAs) and included subsequent analysis.…”