Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response
High-grade serous ovarian cancers (HGS-OvCa) frequently develop chemotherapy resistance. Here, the authors through a systematic analysis of proteomic and drug response data of 14 HGS-OvCa PDXs demonstrate that targeting apoptosis regulators can improve response of these tumors to inhibitors of the P...
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Nature Portfolio
2017
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oai:doaj.org-article:bef99f7f9cf545ffab161533fef245e32021-12-02T17:06:27ZSystems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response10.1038/s41467-017-00263-72041-1723https://doaj.org/article/bef99f7f9cf545ffab161533fef245e32017-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-00263-7https://doaj.org/toc/2041-1723High-grade serous ovarian cancers (HGS-OvCa) frequently develop chemotherapy resistance. Here, the authors through a systematic analysis of proteomic and drug response data of 14 HGS-OvCa PDXs demonstrate that targeting apoptosis regulators can improve response of these tumors to inhibitors of the PI3K/mTOR pathway.Ioannis K. ZervantonakisClaudia IavaroneHsing-Yu ChenLaura M. SelforsSangeetha PalakurthiJoyce F. LiuRonny DrapkinUrsula MatulonisJoel D. LeversonDeepak SampathGordon B. MillsJoan S. BruggeNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-13 (2017) |
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Science Q |
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Science Q Ioannis K. Zervantonakis Claudia Iavarone Hsing-Yu Chen Laura M. Selfors Sangeetha Palakurthi Joyce F. Liu Ronny Drapkin Ursula Matulonis Joel D. Leverson Deepak Sampath Gordon B. Mills Joan S. Brugge Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response |
description |
High-grade serous ovarian cancers (HGS-OvCa) frequently develop chemotherapy resistance. Here, the authors through a systematic analysis of proteomic and drug response data of 14 HGS-OvCa PDXs demonstrate that targeting apoptosis regulators can improve response of these tumors to inhibitors of the PI3K/mTOR pathway. |
format |
article |
author |
Ioannis K. Zervantonakis Claudia Iavarone Hsing-Yu Chen Laura M. Selfors Sangeetha Palakurthi Joyce F. Liu Ronny Drapkin Ursula Matulonis Joel D. Leverson Deepak Sampath Gordon B. Mills Joan S. Brugge |
author_facet |
Ioannis K. Zervantonakis Claudia Iavarone Hsing-Yu Chen Laura M. Selfors Sangeetha Palakurthi Joyce F. Liu Ronny Drapkin Ursula Matulonis Joel D. Leverson Deepak Sampath Gordon B. Mills Joan S. Brugge |
author_sort |
Ioannis K. Zervantonakis |
title |
Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response |
title_short |
Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response |
title_full |
Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response |
title_fullStr |
Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response |
title_full_unstemmed |
Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response |
title_sort |
systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/bef99f7f9cf545ffab161533fef245e3 |
work_keys_str_mv |
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