title: Gene expression profiling of ovarian carcinomas and prognostic analysis of outcome.
abstract: BACKGROUND
  Ovarian cancer (OCA), the fifth leading deaths cancer to women, is famous for its low survival rate in epithelial ovarian cancer cases, which is very complicated and hard to be diagnosed from asymptomatic nature in the early stage. Thus, it is urgent to develop an effective genetic prognostic strategy.
  
  
  METHODS
  Current study using the Database for Annotation, Visualization and Integrated Discovery tool for the generation and analysis of quantitative gene expression profiles; all the annotated gene and biochemical pathway membership realized according to shared categorical data from Pathway and Kyoto Encyclopedia of Genes and Genomes; correlation networks based on current gene screening actualize by Weighted correlation network analysis to identify therapeutic targets gene and candidate bio-markers.
  
  
  RESULTS
  3095 differentially expressed genes were collected from genome expression profiles of OCA patients (n = 53, 35 advanced, 8 early and 10 normal). By pathway enrichment, most genes showed contribution to cell cycle and chromosome maintenance.1073 differentially expression genes involved in the 4 dominant network modules are further generated for prognostic pattern establish, we divided a dataset with random OCA cases (n = 80) into 3 groups efficiently (p = 0.0323, 95% CIs in Kaplan-Meier). Finally, 6 prognosis related genes were selected out by COX regression analysis, TFCP2L1 related to cancer-stem cell, probably contributes to chemotherapy efficiency.
  
  
  CONCLUSIONS
  Our study presents an integrated original model of the differentially expression genes related to ovarian cancer progressing, providing the identification of genes relevant for its pathological physiology which can potentially be new clinical markers.
authors.affiliation: Department of Obstetrics & Gynecology, Changhai Hospital, Second Military Medical University, No.168, Changhai Road, Shanghai, 200433, China. caisysys@126.com.
authors.forename: Sheng-Yun
authors.initials: SY
authors.lastname: Cai
authors.affiliation: Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, No.225, Changhai Road, Shanghai, 200438, China. tianwnsdhh@163.com.
authors.forename: Tian
authors.initials: T
authors.lastname: Yang
authors.affiliation: Department of Obstetrics & Gynecology, Changhai Hospital, Second Military Medical University, No.168, Changhai Road, Shanghai, 200433, China. yuchhcahjsg@yeah.net.
authors.forename: Yu
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Department of Obstetrics & Gynecology, Changhai Hospital, Second Military Medical University, No.168, Changhai Road, Shanghai, 200433, China. wanghghg@126.com.
authors.forename: Jing-Wen
authors.initials: JW
authors.lastname: Wang
authors.affiliation: Department of Obstetrics & Gynecology, Changhai Hospital, Second Military Medical University, No.168, Changhai Road, Shanghai, 200433, China. lilillggh@163.com.
authors.forename: Li
authors.initials: L
authors.lastname: Li
authors.affiliation: Department of Obstetrics & Gynecology, Changhai Hospital, Second Military Medical University, No.168, Changhai Road, Shanghai, 200433, China. xumingjjdj@126.com.
authors.forename: Ming-Juan
authors.initials: MJ
authors.lastname: Xu
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics; D000077216:Carcinoma, Ovarian Epithelial; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D006801:Humans; D009363:Neoplasm Proteins / Q000096:biosynthesis* / Q000235:genetics; D009375:Neoplasms, Glandular and Epithelial / Q000235:genetics* / Q000473:pathology; D010051:Ovarian Neoplasms / Q000235:genetics* / Q000473:pathology; D011379:Prognosis; D016019:Survival Analysis
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins