Large-Scale Profiling of Kinase Dependencies in Cancer Cell Lines

Campbell, J, Ryan, CJ, Brough, R, Bajrami, I, Pemberton, HN, Chong, IY, Costa-Cabral, S, Frankum, J, Gulati, A, Holme, H, and others. (2016) Large-Scale Profiling of Kinase Dependencies in Cancer Cell Lines. Cell Reports, 14 (10). pp. 2490-2501. ISSN 2211-1247. (doi:10.1016/j.celrep.2016.02.023) (KAR id:61503)

PDF (Full text pdf from Cell Reports) Publisher pdf Language: English This work is licensed under a Creative Commons Attribution 4.0 International License.
Download this file (PDF/6MB)	Preview
Request a format suitable for use with assistive technology e.g. a screenreader
Official URL: http://dx.doi.org/10.1016/j.celrep.2016.02.023

Abstract

One approach to identifying cancer-specific vulnerabilities and therapeutic targets is to profile genetic dependencies in cancer cell lines. Here, we describe data from a series of siRNA screens that identify the kinase genetic dependencies in 117 cancer cell lines from ten cancer types. By integrating the siRNA screen data with molecular profiling data, including exome sequencing data, we show how vulnerabilities/genetic dependencies that are associated with mutations in specific cancer driver genes can be identified. By integrating additional data sets into this analysis, including protein-protein interaction data, we also demonstrate that the genetic dependencies associated with many cancer driver genes form dense connections on functional interaction networks. We demonstrate the utility of this resource by using it to predict the drug sensitivity of genetically or histologically defined subsets of tumor cell lines, including an increased sensitivity of osteosarcoma cell lines to FGFR inhibitors and SMAD4 mutant tumor cells to mitotic inhibitors.

Item Type:	Article
DOI/Identification number:	10.1016/j.celrep.2016.02.023
Additional information:	This is an open access article under the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0/).
Divisions:	Divisions > Division of Natural Sciences > Biosciences
Depositing User:	Tim Fenton
Date Deposited:	21 Apr 2017 13:46 UTC
Last Modified:	08 Jan 2022 23:11 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/61503 (The current URI for this page, for reference purposes)

University of Kent Author Information

Fenton, TR.

Creator's ORCID:	https://orcid.org/0000-0002-4737-8233
CReDIT Contributor Roles:

Depositors only (login required):

Altmetric

Download Statistics

Total unique views for this document in KAR since July 2020. For more details click on the image.