单位：[1]State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, Peking Union Medical College and Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing, China[2]Department of Respiratory and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China[3]Department of Gynecology and Obstetrics, Maternal and Child Health Care Hospital of Haidian, Beijing, China[4]Department of Endoscopy, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China
Similarities in gene expression between both developing embryonic and precancerous tissues and cancer tissues may help identify much-needed biomarkers and therapeutic targets in lung squamous carcinoma. In this study, human lung samples representing ten successive time points, from embryonic development to carcinogenesis, were used to construct global gene expression profiles. Differentially expressed genes with similar expression in precancerous and cancer samples were identified. Using a network-based greedy searching algorithm to analyze the training cohort (n = 69) and three independent testing cohorts, we successfully identified a significant 22-gene module in which expression levels were correlated with overall survival in lung squamous carcinoma patients.
基金：
National High Technology Research and Development Program of ChinaNational High Technology Research and Development Program of China [2014AA-020602]
第一作者单位：[1]State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, Peking Union Medical College and Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing, China
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Feng Lin,Tong Run,Liu Xiaohong,et al.A network-based method for identifying prognostic gene modules in lung squamous carcinoma[J].ONCOTARGET.2016,7(14):18006-18020.doi:10.18632/oncotarget.7632.
APA：
Feng, Lin,Tong, Run,Liu, Xiaohong,Zhang, Kaitai,Wang, Guiqi...&Cheng, Shujun.(2016).A network-based method for identifying prognostic gene modules in lung squamous carcinoma.ONCOTARGET,7,(14)
MLA：
Feng, Lin,et al."A network-based method for identifying prognostic gene modules in lung squamous carcinoma".ONCOTARGET 7..14(2016):18006-18020
医学