Functional Genomic Landscape of Human Breast Cancer Drivers, Vulnerabilities, and Resistance
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- 作者：Richard Marcotte1 ; 9 ; 12 ; Azin Sayad1 ; 9 ; Kevin R. Brown2 ; Felix Sanchez-Garcia4 ; Jü ; ri Reimand2 ; 10 ; Maliha Haider1 ; Carl Virtanen1 ; James E. Bradner5 ; 6 ; Gary D. Bader2 ; Gordon B. Mills7 ; Dana Pe&rsquo ; er4 ; Jason Moffat2 ; 3 ; Benjamin G. Neel1 ; 8 ; 11 ; benjamin.neel@nyumc.org" class="auth_mail" title="E-mail the corresponding author
- 刊名：Cell
- 出版年：2016
- 出版时间：14 January 2016
- 年：2016
- 卷：164
- 期：1-2
- 页码：293-309
- 全文大小：6286 K
文摘
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We screened 77 breast cancer lines using a genome-wide pooled shRNA library
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We developed an algorithm (siMEM) to improve identification of context-dependent genes
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Integrating screen results with genomic data reveals potential “drivers”
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BRD4 is essential for luminal cancer, and mutant PIK3CA confers BET-I resistance