title: Pathway crosstalk analysis based on protein-protein network analysis in ovarian cancer.
abstract: Ovarian cancer is the fifth leading cause of cancer death in women aged 35 to 74 years. Although there are several popular hypothesis of ovarian cancer pathogenesis, the genetic mechanisms are far from being clear. Recently, systems biology approaches such as network-based methods have been successfully applied to elucidate the mechanisms of diseases. In this study, we constructed a crosstalk network among ovarian cancer related pathways by integrating protein-protein interactions and KEGG pathway information. Several significant pathways were identified to crosstalk with each other in ovarian cancer, such as the chemokine, Notch, Wnt and NOD-like receptor signaling pathways. Results from these studies will provide the groundwork for a combination therapy approach targeting multiple pathways which will likely be more effective than targeting one pathway alone.
authors.affiliation: Department of Obstetrics and Gynecology, first Affiliated Hospital of Anhui Medical University, China. hukw@sina.com
authors.forename: Xiao-Hua
authors.initials: XH
authors.lastname: Pan
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics*; D005260:Female; D020869:Gene Expression Profiling; D053263:Gene Regulatory Networks; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D010051:Ovarian Neoplasms / Q000235:genetics / Q000378:metabolism*; D060066:Protein Interaction Maps; D015398:Signal Transduction / Q000502:physiology*
chemical_list: D014408:Biomarkers, Tumor