Abstract A57: Identification of novel targets for ovarian cancer treatment

Abstract

Ovarian cancer remains one of the most lethal diseases for the female reproductive system with 22,530 new cases and more than 13,980 deaths predicted for 2019 in the United States alone, according to the American Cancer Society. Currently, there is no effective therapy for ovarian cancer patients, in particular for those who become resistant to chemotherapy (cisplatin). We need to identify novel targets for ovarian cancer therapy. We performed RNA deep-sequencing studies in cisplatin-sensitive and cisplatin-resistant ovarian cancer cells. Several RNA (messengers and long noncoding) were differentially abundant in cisplatin-resistant versus cisplatin-sensitive cells. Many of these RNAs have not been previously studied in ovarian cancer. Therefore, we performed rigorous bioinformatic studies that included data filtering and survival rates (using Kaplan-Meier plot analysis) and IPA (Ingenuity Pathway Analysis) to select key candidate genes that can be used as potential targets for ovarian cancer therapy. Additional data filtering was used to select a list of candidate genes whose expression correlates with the overall survival and progression-free survival of ovarian cancer patients. Future experiments will investigate the biologic consequence of targeting each of these candidate genes in ovarian cancer cells and ovarian cancer mouse models. Citation Format: Ricardo Noriega, Jeyshka Reyes, Blanca Quiñones, Joseline Serrano, Pablo Vivas, Josué Pérez. Identification of novel targets for ovarian cancer treatment [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research; 2019 Sep 13-16, 2019; Atlanta, GA. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(13_Suppl):Abstract nr A57.