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Mapping genetic interactions in cancer: a road to rational combination therapies
The discovery of synthetic lethal interactions between poly (ADP-ribose) polymerase (PARP) inhibitors and BRCA genes, which are involved in homologous recombination, led to the approval of PARP inhibition as a monotherapy for patients with BRCA1/2-mutated breast or ovarian cancer. Studies following...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805649/ https://www.ncbi.nlm.nih.gov/pubmed/31640753 http://dx.doi.org/10.1186/s13073-019-0680-4 |
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author | Tutuncuoglu, Beril Krogan, Nevan J. |
author_facet | Tutuncuoglu, Beril Krogan, Nevan J. |
author_sort | Tutuncuoglu, Beril |
collection | PubMed |
description | The discovery of synthetic lethal interactions between poly (ADP-ribose) polymerase (PARP) inhibitors and BRCA genes, which are involved in homologous recombination, led to the approval of PARP inhibition as a monotherapy for patients with BRCA1/2-mutated breast or ovarian cancer. Studies following the initial observation of synthetic lethality demonstrated that the reach of PARP inhibitors is well beyond just BRCA1/2 mutants. Insights into the mechanisms of action of anticancer drugs are fundamental for the development of targeted monotherapies or rational combination treatments that will synergize to promote cancer cell death and overcome mechanisms of resistance. The development of targeted therapeutic agents is premised on mapping the physical and functional dependencies of mutated genes in cancer. An important part of this effort is the systematic screening of genetic interactions in a variety of cancer types. Until recently, genetic-interaction screens have relied either on the pairwise perturbations of two genes or on the perturbation of genes of interest combined with inhibition by commonly used anticancer drugs. Here, we summarize recent advances in mapping genetic interactions using targeted, genome-wide, and high-throughput genetic screens, and we discuss the therapeutic insights obtained through such screens. We further focus on factors that should be considered in order to develop a robust analysis pipeline. Finally, we discuss the integration of functional interaction data with orthogonal methods and suggest that such approaches will increase the reach of genetic-interaction screens for the development of rational combination therapies. |
format | Online Article Text |
id | pubmed-6805649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68056492019-10-24 Mapping genetic interactions in cancer: a road to rational combination therapies Tutuncuoglu, Beril Krogan, Nevan J. Genome Med Review The discovery of synthetic lethal interactions between poly (ADP-ribose) polymerase (PARP) inhibitors and BRCA genes, which are involved in homologous recombination, led to the approval of PARP inhibition as a monotherapy for patients with BRCA1/2-mutated breast or ovarian cancer. Studies following the initial observation of synthetic lethality demonstrated that the reach of PARP inhibitors is well beyond just BRCA1/2 mutants. Insights into the mechanisms of action of anticancer drugs are fundamental for the development of targeted monotherapies or rational combination treatments that will synergize to promote cancer cell death and overcome mechanisms of resistance. The development of targeted therapeutic agents is premised on mapping the physical and functional dependencies of mutated genes in cancer. An important part of this effort is the systematic screening of genetic interactions in a variety of cancer types. Until recently, genetic-interaction screens have relied either on the pairwise perturbations of two genes or on the perturbation of genes of interest combined with inhibition by commonly used anticancer drugs. Here, we summarize recent advances in mapping genetic interactions using targeted, genome-wide, and high-throughput genetic screens, and we discuss the therapeutic insights obtained through such screens. We further focus on factors that should be considered in order to develop a robust analysis pipeline. Finally, we discuss the integration of functional interaction data with orthogonal methods and suggest that such approaches will increase the reach of genetic-interaction screens for the development of rational combination therapies. BioMed Central 2019-10-22 /pmc/articles/PMC6805649/ /pubmed/31640753 http://dx.doi.org/10.1186/s13073-019-0680-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Tutuncuoglu, Beril Krogan, Nevan J. Mapping genetic interactions in cancer: a road to rational combination therapies |
title | Mapping genetic interactions in cancer: a road to rational combination therapies |
title_full | Mapping genetic interactions in cancer: a road to rational combination therapies |
title_fullStr | Mapping genetic interactions in cancer: a road to rational combination therapies |
title_full_unstemmed | Mapping genetic interactions in cancer: a road to rational combination therapies |
title_short | Mapping genetic interactions in cancer: a road to rational combination therapies |
title_sort | mapping genetic interactions in cancer: a road to rational combination therapies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805649/ https://www.ncbi.nlm.nih.gov/pubmed/31640753 http://dx.doi.org/10.1186/s13073-019-0680-4 |
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