紫杉烷
紫杉醇
焦点粘着
蛋白激酶B
卵巢癌
癌症研究
医学
细胞凋亡
激酶
化学
癌症
内科学
内分泌学
磷酸化
肿瘤科
乳腺癌
生物化学
作者
Yu Kang,Wei Hu,Cristina Ivan,Heather J. Dalton,Takahito Miyake,Chad V. Pecot,Behrouz Zand,Tao Liu,Jie Huang,Nicholas B. Jennings,Rajesha Rupaimoole,Morgan Taylor,Sunila Pradeep,Sherry Y. Wu,Chunhua Lü,Yunfei Wen,Jianfei Huang,Jinsong Liu,Anil K. Sood
摘要
We previously found focal adhesion kinase (FAK) inhibition sensitizes ovarian cancer to taxanes; however, the mechanisms are not well understood.We characterized the biologic response of taxane-resistant and taxane-sensitive ovarian cancer models to a novel FAK inhibitor (VS-6063). We used reverse-phase protein arrays (RPPA) to identify novel downstream targets in taxane-resistant cell lines. Furthermore, we correlated clinical and pathological data with nuclear and cytoplasmic expression of FAK and YB-1 in 105 ovarian cancer samples. Statistical tests were two-sided, and P values were calculated with Student t test or Fisher exact test.We found that VS-6063 inhibited FAK phosphorylation at the Tyr397 site in a time- and dose-dependent manner. The combination of VS-6063 and paclitaxel markedly decreased proliferation and increased apoptosis, which resulted in 92.7% to 97.9% reductions in tumor weight. RPPA data showed that VS-6063 reduced levels of AKT and YB-1 in taxane-resistant cell lines. FAK inhibition enhanced chemosensitivity in taxane-resistant cells by decreasing YB-1 phosphorylation and subsequently CD44 in an AKT-dependent manner. In human ovarian cancer samples, nuclear FAK expression was associated with increased nuclear YB-1 expression (χ²) = 37.7; P < .001). Coexpression of nuclear FAK and YB-1 was associated with statistically significantly worse median overall survival (24.9 vs 67.3 months; hazard ratio = 2.64; 95% confidence interval = 1.38 to 5.05; P = .006).We have identified a novel pathway whereby FAK inhibition with VS-6063 overcomes YB-1-mediated paclitaxel resistance by an AKT-dependent pathway. These findings have implications for clinical trials aimed at targeting FAK.
科研通智能强力驱动
Strongly Powered by AbleSci AI