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An Interactive Resource to Identify Cancer Genetic and Lineage Dependencies Targeted by Small Molecules

Authors :
C. Suk-Yee Hon
Joshua A. Bittker
Vlado Dančík
Michelle Stewart
Amrita Basu
Richard Y. Ebright
Gregory V. Kryukov
Daisuke Ito
Andrew M. Stern
Brent R. Stockwell
Jordi Barretina
Stuart L. Schreiber
Giannina Ines Schaefer
Mathias Wawer
Paul A. Clemons
Benito Munoz
Ted Liefeld
Edmund Price
Levi A. Garraway
Jaime H. Cheah
Nicole E. Bodycombe
Alykhan F. Shamji
Ke Liu
Abigail L. Bracha
Dineo Khabele
Nicolas Stransky
Joshua C. Gilbert
Stephanie Wang
Andrew J. Wilson
Source :
Cell. 154(5):1151-1161
Publication Year :
2013
Publisher :
Elsevier BV, 2013.

Abstract

SummaryThe high rate of clinical response to protein-kinase-targeting drugs matched to cancer patients with specific genomic alterations has prompted efforts to use cancer cell line (CCL) profiling to identify additional biomarkers of small-molecule sensitivities. We have quantitatively measured the sensitivity of 242 genomically characterized CCLs to an Informer Set of 354 small molecules that target many nodes in cell circuitry, uncovering protein dependencies that: (1) associate with specific cancer-genomic alterations and (2) can be targeted by small molecules. We have created the Cancer Therapeutics Response Portal (http://www.broadinstitute.org/ctrp) to enable users to correlate genetic features to sensitivity in individual lineages and control for confounding factors of CCL profiling. We report a candidate dependency, associating activating mutations in the oncogene β-catenin with sensitivity to the Bcl-2 family antagonist, navitoclax. The resource can be used to develop novel therapeutic hypotheses and to accelerate discovery of drugs matched to patients by their cancer genotype and lineage.

Details

ISSN :
00928674
Volume :
154
Issue :
5
Database :
OpenAIRE
Journal :
Cell
Accession number :
edsair.doi.dedup.....2809375f78ae3a90b80b7477610ffae6
Full Text :
https://doi.org/10.1016/j.cell.2013.08.003