生物
组学
计算生物学
亚型
DNA甲基化
鉴定(生物学)
癌症
单变量
生物信息学
肿瘤科
遗传学
基因
医学
基因表达
多元统计
程序设计语言
统计
数学
植物
计算机科学
作者
Haoqin Jiang,Jun Wang,Yingxiao Song,Jian Chen,Liu Dong,Qianqian Xu,Ruoshui Cao,Yuting Wang,Xiao Xu,Xinju Zhang,Fanyang Kong,Ming Guan,Xuan Deng
出处
期刊:Epigenomics
[Future Medicine]
日期:2023-12-01
卷期号:15 (24): 1293-1308
标识
DOI:10.2217/epi-2023-0349
摘要
Aims: The systematic identification of molecular features correlated with the clinical status of gastric cancer (GC) in patients is significant, although such investigation remains insufficient. Methods: GC subtyping based on RNA sequencing, copy number variation and DNA methylation data were derived from The Cancer Genome Atlas program. Prognostics lncRNA biomarkers for GC were identified by univariate Cox, LASSO and SVM-RFE analysis. Results: Three molecular subtypes with significant survival discrepancies, and their specific DEmRNAs and DElncRNAs were identified. Three reliable prognostic-associated lncRNA, including LINC00670, LINC00452 and LINC00160, were selected for GC. Conclusion: Our findings expanded the understanding on the regulatory network of lncRNAs in GC, providing potential targets for prognosis and treatment of GC patients.
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