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Profiling of Ovarian Cancer Reveals Common Features Shared by Sub-types of Ovarian Cancer: A network biology approach towards finding therapeutic drug targets

Authors :
Rinki Singh
Anup Som
Source :
2018 International Conference on Bioinformatics and Systems Biology (BSB).
Publication Year :
2018
Publisher :
IEEE, 2018.

Abstract

Ovarian cancer is the most lethal gynecological cancer affecting women and hence an important public health issue. Identifying the underlying biology and neoplastic progression of ovarian cancer is very important to understand and advancing the treatment of the disease. The aim of this study is to identify the crucial genes which are common in all the cases of ovarian cancer irrespective of their subtypes, suggesting essential neoplastic progression and the common molecular mechanism through which cancer cells progress. These genes might prove to be good therapeutic drug targets. Our analysis revealed 320 genes, which functionally interacted among different subtypes of epithelial ovarian cancer. JUN, FOS, MYC, STAT5B, NR3C1, KRAS, PNN, SFN, SMARCA4, GSK3B, JUND, CAV1, and MAPK13 are genes played crucial role in ovarian cancer progression and thus can act as good therapeutic targets.

Details

Database :
OpenAIRE
Journal :
2018 International Conference on Bioinformatics and Systems Biology (BSB)
Accession number :
edsair.doi...........23fb2140e4a95fd9c9f86324488a8a62