Identification and validation of a novel angiogenesis-related gene signature for predicting prognosis in gastric adenocarcinoma

• DOI: 10.3389/fonc.2022.965102
• Publication Date: 2023-01-16T05:46:26Z
• Authors: Peipei Xu; Sailiang Liu; Shu Song; Xiang yao; Xuechuan Li; Jie Zhang; Yinbing Liu; Ye Zheng; Ganglong Gao; Jingjing Xu
• Keywords: Gene signature; Nomogram

Background Angiogenesis is a major promotor of tumor progression and metastasis in gastric adenocarcinoma (STAD). We aimed to develop novel lncRNA gene signature by identifying angiogenesis-related genes better predict prognosis STAD patients. Methods The expression profiles mRNA were collected from Cancer Genome Atlas (TCGA). Then, the “limma” package was used identify differentially expressed (DEGs). clustered consumusclusterplus. Pearson correlation coefficient further lncRNAs coexpressed with clustere genes. Lasso Cox regression analysis construct signature. Furthermore, diagnostic accuracy prognostic risk validated TCGA training set, internal test sets external set. multifactor determine that score an independent factor different clinical characteristics. Nomogram has been quantitatively personal environment. ssGSEA method or GSE176307 data evaluate infiltration state immune cells predictive ability for benefit immunotherapy Finally, function these explored RT–PCR colony formation assays. Results Among clusters, stable number clusters 2. A total 289 DEGs identified 116 screened have significant coexpression relationship angiogenic (P value<0.001 |R| >0.5). six-gene comprising LINC01579, LINC01094, RP11.497E19.1, AC093850.2, RP11.613D13.8, RP11.384P7.7 constructed analysis. results showed our good some factors. For immune, had efficiently 23 immunotherapy. qPCR levels six all higher tissues than adjacent tissues. functional experiment indicated downregulation suppressed proliferation ASG MKN45 cells. Conclusion Six integrated into can effectively assess provide potential therapeutic targets