Haploinsufficiency networks identify targetable patterns of allelic deficiency in low mutation ovarian cancer
Cancers accumulate multiple single copy number alterations, but their impact is unclear. Here, the authors computationally demonstrate a disruption of genes associated with autophagy in ovarian cancer, show impact on autophagic flux, and note the efficacy of autophagy drugs in preclinical models.
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Nature Portfolio
2017
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oai:doaj.org-article:4693ab4669b34978ad4a226632a7b4a72021-12-02T15:39:00ZHaploinsufficiency networks identify targetable patterns of allelic deficiency in low mutation ovarian cancer10.1038/ncomms144232041-1723https://doaj.org/article/4693ab4669b34978ad4a226632a7b4a72017-02-01T00:00:00Zhttps://doi.org/10.1038/ncomms14423https://doaj.org/toc/2041-1723Cancers accumulate multiple single copy number alterations, but their impact is unclear. Here, the authors computationally demonstrate a disruption of genes associated with autophagy in ovarian cancer, show impact on autophagic flux, and note the efficacy of autophagy drugs in preclinical models.Joe Ryan DelaneyChandni B. PatelKatelyn McCabe WillisMina HaghighiabyanehJoshua AxelrodIsabelle TancioniDan LuJaidev BapatShanique YoungOctavia CadassouAlena BartakovaParthiv ShethCarley HaftSandra HuiCheryl SaenzDavid D. SchlaepferOlivier HarismendyDwayne G. StupackNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-11 (2017) |
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Science Q Joe Ryan Delaney Chandni B. Patel Katelyn McCabe Willis Mina Haghighiabyaneh Joshua Axelrod Isabelle Tancioni Dan Lu Jaidev Bapat Shanique Young Octavia Cadassou Alena Bartakova Parthiv Sheth Carley Haft Sandra Hui Cheryl Saenz David D. Schlaepfer Olivier Harismendy Dwayne G. Stupack Haploinsufficiency networks identify targetable patterns of allelic deficiency in low mutation ovarian cancer |
description |
Cancers accumulate multiple single copy number alterations, but their impact is unclear. Here, the authors computationally demonstrate a disruption of genes associated with autophagy in ovarian cancer, show impact on autophagic flux, and note the efficacy of autophagy drugs in preclinical models. |
format |
article |
author |
Joe Ryan Delaney Chandni B. Patel Katelyn McCabe Willis Mina Haghighiabyaneh Joshua Axelrod Isabelle Tancioni Dan Lu Jaidev Bapat Shanique Young Octavia Cadassou Alena Bartakova Parthiv Sheth Carley Haft Sandra Hui Cheryl Saenz David D. Schlaepfer Olivier Harismendy Dwayne G. Stupack |
author_facet |
Joe Ryan Delaney Chandni B. Patel Katelyn McCabe Willis Mina Haghighiabyaneh Joshua Axelrod Isabelle Tancioni Dan Lu Jaidev Bapat Shanique Young Octavia Cadassou Alena Bartakova Parthiv Sheth Carley Haft Sandra Hui Cheryl Saenz David D. Schlaepfer Olivier Harismendy Dwayne G. Stupack |
author_sort |
Joe Ryan Delaney |
title |
Haploinsufficiency networks identify targetable patterns of allelic deficiency in low mutation ovarian cancer |
title_short |
Haploinsufficiency networks identify targetable patterns of allelic deficiency in low mutation ovarian cancer |
title_full |
Haploinsufficiency networks identify targetable patterns of allelic deficiency in low mutation ovarian cancer |
title_fullStr |
Haploinsufficiency networks identify targetable patterns of allelic deficiency in low mutation ovarian cancer |
title_full_unstemmed |
Haploinsufficiency networks identify targetable patterns of allelic deficiency in low mutation ovarian cancer |
title_sort |
haploinsufficiency networks identify targetable patterns of allelic deficiency in low mutation ovarian cancer |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/4693ab4669b34978ad4a226632a7b4a7 |
work_keys_str_mv |
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1718385985001095168 |