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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Autores principales: 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
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/bef99f7f9cf545ffab161533fef245e3
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle 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
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