In:
Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 2344-2344
Kurzfassung:
Although most canonical somatic cancer mutations have now been cataloged, only a fraction are amenable to drug discovery efforts. These are limited to targets with gain of function mutations and druggable protein domains. Examples include kinases such as FLT3 and metabolic enzymes such as IDH1/2. However, excluded from this list are undruggable protein targets with gain of function mutations, such as KRAS, or tumor suppressors which acquire loss of function mutations, such as APC. The concept of synthetic lethality is being used to address this gap in cancer discovery. Cells which carry these directly undruggable somatic mutations become susceptible to inhibition of secondary targets. This susceptibility is specific in context to cells carrying the cancer associated mutation, offering both a novel approach for establishing efficacy as well as a potential therapeutic window for normal cells. The successful development of PARP inhibitors for BRCA mutant ovarian and breast cancers has provided the first clinical validation of this idea. Pooled, genome-wide knock out experiments are being pursued to systematically discover more of these types of synthetic lethalities. Typically, a sgRNA library is used to transfect a CAS9 expressing cancer cell line, and sequencing of the guides over time identifies lethalities specific to the cell line. Once this experiment is repeated over hundreds of cell lines, one can use the genomic information of the cell lines, such as mutations or copy number aberrations, to identify potential new combinations of molecular lethality. We have analyzed pooled CRISPR knockout data in a large panel of cancer cell lines generated from two independent sources (Broad Institute and Open Targets) to identify these types of lethality. Besides identifying targets for prevalent cancer mutations, we have also identified lethal combinations based on genes aberrantly deleted/silenced in cancers, termed “collateral lethality.” These include pairs of paralogs, many of which code enzymes with redundant functions. In this presentation we will outline our analysis strategies and methods, and describe the development of a downstream experimental validation pipeline, using a specific target/predictor pair to exemplify our approach. Citation Format: Benjamin Schwartz, Junping Jing, Euan Stronach, David Cooper, Boris Wilson, Sarah Middleton, Mugdha Khaladkar, Coco Dong, Usman Shabon, Yanhua Rao, Stefanie Riesenberg. Identification and validation of synthetic lethal cancer pairs from genome-wide CRISPR screens [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2344.
Materialart:
Online-Ressource
ISSN:
0008-5472
,
1538-7445
DOI:
10.1158/1538-7445.AM2018-2344
Sprache:
Englisch
Verlag:
American Association for Cancer Research (AACR)
Publikationsdatum:
2018
ZDB Id:
2036785-5
ZDB Id:
1432-1
ZDB Id:
410466-3
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