GSTDTAP  > 资源环境科学
DOI10.1038/s41467-018-05086-8
Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response
Zervantonakis, Ioannis K.1; Iavarone, Claudia1; Chen, Hsing-Yu1; Selfors, Laura M.1; Palakurthi, Sangeetha2; Liu, Joyce F.3; Drapkin, Ronny4; Matulonis, Ursula3; Leverson, Joel D.5; Sampath, Deepak6; Mills, Gordon B.7; Brugge, Joan S.1
2017-08-28
发表期刊NATURE COMMUNICATIONS
ISSN2041-1723
出版年2017
卷号8
文章类型Article
语种英语
国家USA
英文摘要

The lack of effective chemotherapies for high-grade serous ovarian cancers (HGS-OvCa) has motivated a search for alternative treatment strategies. Here, we present an unbiased systems-approach to interrogate a panel of 14 well-annotated HGS-OvCa patient-derived xenografts for sensitivity to PI3K and PI3K/mTOR inhibitors and uncover cell death vulnerabilities. Proteomic analysis reveals that PI3K/mTOR inhibition in HGS-OvCa patient-derived xenografts induces both pro-apoptotic and anti-apoptotic signaling responses that limit cell killing, but also primes cells for inhibitors of anti-apoptotic proteins. In-depth quantitative analysis of BCL-2 family proteins and other apoptotic regulators, together with computational modeling and selective anti-apoptotic protein inhibitors, uncovers new mechanistic details about apoptotic regulators that are predictive of drug sensitivity (BIM, caspase-3, BCL-XL) and resistance (MCL-1, XIAP). Our systems-approach presents a strategy for systematic analysis of the mechanisms that limit effective tumor cell killing and the identification of apoptotic vulnerabilities to overcome drug resistance in ovarian and other cancers.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000408440700002
WOS关键词XENOGRAFT MODELS ; PI3K/AKT PATHWAY ; BIM EXPRESSION ; BREAST-CANCER ; PATIENT ; INHIBITION ; RESISTANCE ; PI3K/MTOR ; KINASE ; TARGET
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
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引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/203869
专题资源环境科学
作者单位1.Harvard Med Sch, Ludwig Ctr Harvard, Dept Cell Biol, Boston, MA 02115 USA;
2.Dana Farber Canc Inst, Belfer Ctr Appl Canc Res, Boston, MA 02115 USA;
3.Dana Farber Canc Inst, Dept Med Oncol, Boston, MA 02115 USA;
4.Univ Penn, Sch Med, Dept Obstet & Gynecol, Penn Ovarian Canc Res Ctr, Philadelphia, PA 19104 USA;
5.AbbVie Inc, Oncol Dev, N Chicago, IL 60064 USA;
6.Genentech Inc, Translat Oncol, San Francisco, CA 94080 USA;
7.Univ Texas MD Anderson Canc Ctr, Dept Syst Biol, Houston, TX 77030 USA
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GB/T 7714
Zervantonakis, Ioannis K.,Iavarone, Claudia,Chen, Hsing-Yu,et al. Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response[J]. NATURE COMMUNICATIONS,2017,8.
APA Zervantonakis, Ioannis K..,Iavarone, Claudia.,Chen, Hsing-Yu.,Selfors, Laura M..,Palakurthi, Sangeetha.,...&Brugge, Joan S..(2017).Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response.NATURE COMMUNICATIONS,8.
MLA Zervantonakis, Ioannis K.,et al."Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response".NATURE COMMUNICATIONS 8(2017).
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