title: Cancer-risk module identification and module-based disease risk evaluation: a case study on lung cancer.
abstract: Gene expression profiles have drawn broad attention in deciphering the pathogenesis of human cancers. Cancer-related gene modules could be identified in co-expression networks and be applied to facilitate cancer research and clinical diagnosis. In this paper, a new method was proposed to identify lung cancer-risk modules and evaluate the module-based disease risks of samples. The results showed that thirty one cancer-risk modules were closely related to the lung cancer genes at the functional level and interactional level, indicating that these modules and genes might synergistically lead to the occurrence of lung cancer. Our method was proved to have good robustness by evaluating the disease risk of samples in eight cancer expression profiles (four for lung cancer and four for other cancers), and had better performance than the WGCNA method. This method could provide assistance to the diagnosis and treatment of cancers and a new clue for explaining cancer mechanisms.
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Xu
authors.initials: X
authors.lastname: Jia
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Zhengqiang
authors.initials: Z
authors.lastname: Miao
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Wan
authors.initials: W
authors.lastname: Li
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Liangcai
authors.initials: L
authors.lastname: Zhang
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Chenchen
authors.initials: C
authors.lastname: Feng
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Yuehan
authors.initials: Y
authors.lastname: He
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Xiaoman
authors.initials: X
authors.lastname: Bi
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Liqiang
authors.initials: L
authors.lastname: Wang
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Youwen
authors.initials: Y
authors.lastname: Du
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Min
authors.initials: M
authors.lastname: Hou
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Dapeng
authors.initials: D
authors.lastname: Hao
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Yun
authors.initials: Y
authors.lastname: Xiao
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Lina
authors.initials: L
authors.lastname: Chen
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University,Harbin,Hei Longjiang Province, China.
authors.forename: Kongning
authors.initials: K
authors.lastname: Li
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics* / Q000378:metabolism; D016022:Case-Control Studies; D063990:Gene Ontology; D006801:Humans; D008175:Lung Neoplasms / Q000175:diagnosis / Q000235:genetics* / Q000378:metabolism; D012372:ROC Curve; D018570:Risk Assessment; D059467:Transcriptome
chemical_list: D014408:Biomarkers, Tumor