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Mini Review

Synthetic Lethality in Cancer Therapeutics: The Next Generation

Jeremy Setton, Michael Zinda, Nadeem Riaz, Daniel Durocher, Michal Zimmermann, Maria Koehler, Jorge S. Reis-Filho and Simon N. Powell
Jeremy Setton
1Memorial Sloan Kettering Cancer Center, New York, New York.
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Michael Zinda
2Repare Therapeutics, Cambridge, Massachusetts.
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Nadeem Riaz
1Memorial Sloan Kettering Cancer Center, New York, New York.
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Daniel Durocher
3Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
4Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
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  • ORCID record for Daniel Durocher
Michal Zimmermann
5Repare Therapeutics, St-Laurent, Quebec, Canada.
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Maria Koehler
2Repare Therapeutics, Cambridge, Massachusetts.
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Jorge S. Reis-Filho
1Memorial Sloan Kettering Cancer Center, New York, New York.
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Simon N. Powell
1Memorial Sloan Kettering Cancer Center, New York, New York.
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  • For correspondence: powells@mskcc.org
DOI: 10.1158/2159-8290.CD-20-1503
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Abstract

Synthetic lethality (SL) provides a conceptual framework for tackling targets that are not classically “druggable,” including loss-of-function mutations in tumor suppressor genes required for carcinogenesis. Recent technological advances have led to an inflection point in our understanding of genetic interaction networks and ability to identify a wide array of novel SL drug targets. Here, we review concepts and lessons emerging from first-generation trials aimed at testing SL drugs, discuss how the nature of the targeted lesion can influence therapeutic outcomes, and highlight the need to develop clinical biomarkers distinct from those based on the paradigms developed to target activated oncogenes.

Significance: SL offers an approach for the targeting of loss of function of tumor suppressor and DNA repair genes, as well as of amplification and/or overexpression of genes that cannot be targeted directly. A next generation of tumor-specific alterations targetable through SL has emerged from high-throughput CRISPR technology, heralding not only new opportunities for drug development, but also important challenges in the development of optimal predictive biomarkers.

Footnotes

  • Cancer Discov 2021;11:1–10

  • Received October 16, 2020.
  • Revision received January 1, 2021.
  • Accepted February 23, 2021.
  • Published first April 1, 2021.
  • ©2021 American Association for Cancer Research.
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This OnlineFirst version was published on April 1, 2021
doi: 10.1158/2159-8290.CD-20-1503

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Synthetic Lethality in Cancer Therapeutics: The Next Generation
Jeremy Setton, Michael Zinda, Nadeem Riaz, Daniel Durocher, Michal Zimmermann, Maria Koehler, Jorge S. Reis-Filho and Simon N. Powell
Cancer Discov April 1 2021 DOI: 10.1158/2159-8290.CD-20-1503

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Synthetic Lethality in Cancer Therapeutics: The Next Generation
Jeremy Setton, Michael Zinda, Nadeem Riaz, Daniel Durocher, Michal Zimmermann, Maria Koehler, Jorge S. Reis-Filho and Simon N. Powell
Cancer Discov April 1 2021 DOI: 10.1158/2159-8290.CD-20-1503
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