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Largest Breast Cancer Study of its Kind Suggests Several New Potential Drug Targets and Combinations; results will be seized on by labs worldwide to identify new drug candidates and pinpoint mechanisms by which cancer cells resist treatment

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Clinical Data •We screened 77 breast cancer lines using a genome-wide pooled shRNA library •We developed an algorithm (siMEM) to improve identification of context-dependent genes •Integrating screen results with genomic data reveals potential “drivers” •BRD4 is essential for luminal cancer, and mutant PIK3CA confers BET-I resistance
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Occurred on:
Jan 14, 2016
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Related Keywords Breast Cancer, Study, Drug Combinations