Analysis of Commonly and Specifically Dysregulated Pathways in Three Women Cancers. Issue 5 (1st September 2018)

• Record Type: Journal Article
• Authors: Liu, Xiyang; An, Yingying; Yu, Baoguo; Qin, Guimin
• Is Part Of: Chinese journal of electronics. Volume 27:Issue 5(2018)
• Page Start: 1043
• Page End: 1049
• Publication Date: 2018-09-01
• Subjects: Dysregulated pathway -- Female cancers -- Driver gene; bioinformatics -- biological organs -- blood vessels -- cancer -- cellular biophysics -- genetics -- genomics -- gynaecology -- medical computing -- molecular biophysics -- proteins; breast cancer -- ovarian cancer -- blood vascular‐related systems -- renin‐angiotensin system -- coagulation system -- cancer therapy -- gynaecological malignancies -- genomic data -- Type II diabetes -- immune system -- topological structure -- biological information -- cell cycle‐related biology processes -- female cancers -- molecular interaction data -- scoring pathways -- cancer prediction -- specific biomarkers -- common biomarkers -- endometrial cancer -- women cancers -- specifically dysregulated pathways -- commonly dysregulated pathways; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2017.09.028
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : Breast, ovarian and endometrial cancer are three most prevalent gynaecological malignancies. Identifying their common and specific biomarkers is significant for cancer prediction and therapy in females. We propose a method to identify dysregulated pathways in cancer through scoring pathways based on the molecular interaction data and genomic data. Commonly and specifically dysregulated pathways are analyzed across the above three female cancers, which have not been studied as a whole to the best of our knowledge. Our results demonstrate that all the three cancers have close relationships with Type II diabetes and cell cycle‐related biology processes. Breast cancer is specifically related to immune system while ovarian cancer and endometrial cancer are associated with blood vascular‐related systems such as renin‐angiotensin system and coagulation system. In addition, dysregulated pathways are used to predict potential driver genes effiectively according to their topological structure and biological information.