title: A network-based method for identifying prognostic gene modules in lung squamous carcinoma.
abstract: 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.
authors.affiliation: 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.
authors.forename: Lin
authors.initials: L
authors.lastname: Feng
authors.affiliation: Department of Respiratory and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
authors.forename: Run
authors.initials: R
authors.lastname: Tong
authors.affiliation: Department of Gynecology and Obstetrics, Maternal and Child Health Care Hospital of Haidian, Beijing, China.
authors.forename: Xiaohong
authors.initials: X
authors.lastname: Liu
authors.affiliation: 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.
authors.forename: Kaitai
authors.initials: K
authors.lastname: Zhang
authors.affiliation: Department of Endoscopy, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China.
authors.forename: Guiqi
authors.initials: G
authors.lastname: Wang
authors.affiliation: Department of Endoscopy, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Zhang
authors.affiliation: 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.
authors.forename: Ning
authors.initials: N
authors.lastname: An
authors.affiliation: 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.
authors.forename: Shujun
authors.initials: S
authors.lastname: Cheng
mesh_terms: D000328:Adult; D000368:Aged; D002294:Carcinoma, Squamous Cell / Q000235:genetics* / Q000473:pathology; D005260:Female; D020869:Gene Expression Profiling; D053263:Gene Regulatory Networks; D006801:Humans; D008175:Lung Neoplasms / Q000235:genetics* / Q000473:pathology; D008297:Male; D008875:Middle Aged; D011379:Prognosis
keywords: greedy searching; lung squamous carcinoma; multi-stage carcinogenesis; network-based; prognostic module