基因签名
生物
腺癌
氧化磷酸化
逻辑回归
比例危险模型
肿瘤科
肺癌
基因
癌症研究
计算生物学
生物信息学
癌症
内科学
基因表达
遗传学
医学
生物化学
作者
Zihao Xu,Zilong Wu,Jingtao Zhang,Ruihao Zhou,Ling Ye,Ping Yang,Bentong Yu
出处
期刊:Epigenomics
[Future Medicine]
日期:2020-08-01
卷期号:12 (15): 1333-1348
被引量:10
标识
DOI:10.2217/epi-2020-0217
摘要
Aim: To develop an oxidative phosphorylation (OXPHOS)-related gene signature of lung adenocarcinoma (LUAD). Materials & methods: We split The Cancer Genome Atlas LUAD cohort into a training set and a test set; we used the least absolute shrinkage and selection operator Cox method to structure the OXPHOS-related prognostic signature in the training set and verified in the test set and GSE30219 dataset. Meanwhile, the diagnostic model was constructed using the logistic Cox method. Results: The signature consisted of seven genes ( LDHA, CFTR, HSPD1, SNHG3, MAP1LC3C, COX6B2, and TWIST1). LUAD patients were divided into high- and low-risk groups, demonstrating good diagnostic and prognostic capabilities. Conclusion: We developed the first-ever OXPHOS-related signature with both prognostic predictive power and diagnostic efficacy.
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