Ontology highlight
ABSTRACT:
SUBMITTER: Jing Y
PROVIDER: S-EPMC4823054 | biostudies-literature | 2016 Jan
REPOSITORIES: biostudies-literature
Jing Ying Y Zhang Zhenfeng Z Ma Pengfei P An Shimin S Shen Ying Y Zhu Liang L Zhuang Guanglei G
Oncotarget 20160101 3
Ovarian cancer is the most lethal gynecologic malignancy, and it is imperative to develop new treatments to ameliorate patient survival. Using an anti-cancer drug library containing 180 small molecule inhibitors, we performed a high-content image-based screen and found that BET and MEK inhibitors are among the candidates which were able to effectively inhibit ovarian cancer cell growth. However, BET inhibition alone was largely cytostatic, possibly due to feedback activation of the MAPK pathway. ...[more]