title: Discover the molecular biomarker associated with cell death and extracellular matrix module in ovarian cancer.
abstract: High throughput technologies have provided many new research methods for ovarian cancer investigation. In tradition, in order to find the underlying functional mechanisms of the survival-associated genes, gene sets enrichment analysis (GSEA) is always regarded as the important choice. However, GSEA produces too many candidate genes and cannot discover the signaling transduction cascades. In this work, we have used a network-based strategy to optimize the discovery of biomarkers using multifactorial data, including patient expression, clinical survival, and protein-protein interaction (PPI) data. The biomarkers discovered by this strategy belong to the network-based biomarker, which is apt to reveal the underlying functional mechanisms of the biomarker. In this work, over 400 expression arrays in ovarian cancer have been analyzed: the results showed that cell death and extracellular module are the main themes related to ovarian cancer progression.
authors: Department of Obstetrics and Gynecology, Research Institute of Surgery, Daping Hospital, Third Military Medical University, Chongqing 40042, China.
authors: Qiang
authors: Q
authors: Liu
authors: Department of Obstetrics and Gynecology, Research Institute of Surgery, Daping Hospital, Third Military Medical University, Chongqing 40042, China.
authors: Jianxin
authors: J
authors: Guo
authors: Department of Obstetrics and Gynecology, Research Institute of Surgery, Daping Hospital, Third Military Medical University, Chongqing 40042, China.
authors: Jinghong
authors: J
authors: Cui
authors: Department of Obstetrics and Gynecology, Research Institute of Surgery, Daping Hospital, Third Military Medical University, Chongqing 40042, China.
authors: Jing
authors: J
authors: Wang
authors: Department of Obstetrics and Gynecology, Research Institute of Surgery, Daping Hospital, Third Military Medical University, Chongqing 40042, China.
authors: Ping
authors: P
authors: Yi
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics*; D016923:Cell Death / Q000235:genetics*; D018450:Disease Progression; D005109:Extracellular Matrix / Q000235:genetics*; D005260:Female; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D010051:Ovarian Neoplasms / Q000235:genetics* / Q000473:pathology; D054730:Protein Interaction Domains and Motifs / Q000235:genetics; D015398:Signal Transduction / Q000235:genetics
chemical_list: D014408:Biomarkers, Tumor