Stomach adenocarcinoma (STAD), which accounts for approximately 95% of gastric cancer types, is a malignancy cancer with high morbidity and mortality. Tumor angiogenesis plays important roles in the progression and pathogenesis of STAD, in which long noncoding RNAs (lncRNAs) have been verified to be crucial for angiogenesis. | Han et al. BMC Cancer 2021 21 1312 https s12885-021-08987-y RESEARCH Open Access Angiogenesis-related lncRNAs predict the prognosis signature of stomach adenocarcinoma Chen Han Cong Zhang Huixia Wang Kexin Li and Lianmei Zhao Abstract Background Stomach adenocarcinoma STAD which accounts for approximately 95 of gastric cancer types is a malignancy cancer with high morbidity and mortality. Tumor angiogenesis plays important roles in the progression and pathogenesis of STAD in which long noncoding RNAs lncRNAs have been verified to be crucial for angiogenesis. Our study sought to construct a prognostic signature of angiogenesis-related lncRNAs ARLncs to accurately predict the survival time of STAD. Methods The RNA-sequencing dataset and corresponding clinical data of STAD were acquired from The Cancer Genome Atlas TCGA . ARLnc sets were obtained from the Ensemble genome database and Molecular Signatures Database MSigDB Angiogenesis M14493 INTegrin pathway M160 . A ARLnc-related prognostic signature was then constructed via univariate Cox and multivariate Cox regression analysis in the training cohort. Survival analysis and Cox regression were performed to assess the performance of the prognostic signature between low- and high-risk groups which was validated in the validation cohort. Furthermore a nomogram that combined the clinical patho- logical characteristics and risk score conducted to predict the overall survival OS of STAD. In addition ARLnc-mRNA coexpression pairs were constructed with Pearson s correlation analysis and visualized to infer the functional annota- tion of the ARLncs by gene ontology GO and Kyoto Encyclopedia of Genes and Genomes KEGG pathway analysis. The expression of four ARLncs in STAD and their correlation with the angiogenesis markers CD34 and CD105 were also validated by RT qPCR in a clinical cohort. Results A prognostic prediction signature including four ARLncs PVT1 LINC01315 and was identified and
