Targeted inhibition of FAK, PYK2 and BCL-XL synergistically enhances apoptosis in ovarian clear cell carcinoma cell lines.
Targeted inhibition of FAK, PYK2 and BCL-XL synergistically enhances apoptosis in ovarian clear cell carcinoma cell lines.
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DOI:
10.1371/journal.pone.0088587
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Kim BG
中科院分区:
文献类型:
--
作者:
Yoon H;Choi YL;Song JY;Do I;Kang SY;Ko YH;Song S;Kim BG
Ovarian clear cell carcinoma (OCCC) displays a higher resistance to first line chemotherapy, requiring the development of new therapeutics. We previously identified a frequent chromosomal gain at 8q24 that harbors the focal-adhesion kinase (FAK) gene; the potential of this gene as a therapeutic target remains to be evaluated in OCCCs. We first examined the dependence of OCCCs on FAK and the PI3K/AKT signaling pathway. FAK was overexpressed in 20% of 67 OCCC samples, and this overexpression was correlated with its copy number gain. FAK copy number gains and mutations in PIK3CA accounted for about 40% of OCCC samples, suggesting that the FAK/PI3K/AKT axis is an attractive candidate for targeted therapeutics. We, therefore, treated ovarian cancer cell lines, including OCCC subtypes, with the FAK inhibitors PF-562,271 (PF271), and PF-573,228 (PF228). Ovarian cancer cells were more sensitive to PF271 than PF228. We then searched for single agents that exhibited a synergistic effect on cell death in combination with PF271. We found that co-treatment of PF271 with ABT-737, a BCL-2/BCL-XL antagonist, was profoundly effective at inducing apoptosis. RMGI and OVISE cells were more sensitive to ABT-737 than OVMANA and SKOV3 cells, which have PIK3CA mutations. Mechanistically, PF271 treatment resulted in the transient down-regulation of the anti-apoptotic protein MCL1 via the PI3K/AKT pathway. Therefore, PF271/ABT-737 treatment led to the inhibition of the anti-apoptotic proteins MCL1 and BCL-XL/BCL-2. We suggest that pharmacological inhibition of BCL-XL and FAK/PYK2 can be a potential therapeutic strategy for the treatment of OCCC.
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影响因子:
64.8
作者:
Inuzuka, Hiroyuki;Shaik, Shavali;Onoyama, Ichiro;Gao, Daming;Tseng, Alan;Maser, Richard S.;Zhai, Bo;Wan, Lixin;Gutierrez, Alejandro;Lau, Alan W.;Xiao, Yonghong;Christie, Amanda L.;Aster, Jon;Settleman, Jeffrey;Gygi, Steven P.;Kung, Andrew L.;Look, Thomas;Nakayama, Keiichi I.;DePinho, Ronald A.;Wei, Wenyi
通讯作者:
Wei, Wenyi
影响因子:
11.2
作者:
Roberts, Walter Gregory;Ung, Ethan;Vajdos, Felix
通讯作者:
Vajdos, Felix
影响因子:
4.8
作者:
Slack-Davis, Jill K.;Martin, Karen H.;Parsons, J. Thomas
通讯作者:
Parsons, J. Thomas
影响因子:
4.7
作者:
Dodier, P;Piché, A
通讯作者:
Piché, A
DOI:
10.1126/science.1196333
发表时间:
2010-10-08
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Jones S;Wang TL;Shih IeM;Mao TL;Nakayama K;Roden R;Glas R;Slamon D;Diaz LA Jr;Vogelstein B;Kinzler KW;Velculescu VE;Papadopoulos N
通讯作者:
Papadopoulos N