Haploinsufficiency networks identify targetable patterns of allelic deficiency in low mutation ovarian cancer

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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Bibliographic Details
Main Authors: 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
Format: article
Language:EN
Published: Nature Portfolio 2017
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Science
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Online Access:https://doaj.org/article/4693ab4669b34978ad4a226632a7b4a7
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Summary: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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