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Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens
High-throughput drug screens in cancer cell lines test compounds at low concentrations, thereby enabling the identification of drug-sensitivity biomarkers, while resistance biomarkers remain underexplored. Dissecting meaningful drug responses at high concentrations is challenging due to cytotoxicity...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660407/ https://www.ncbi.nlm.nih.gov/pubmed/33205120 http://dx.doi.org/10.1016/j.patter.2020.100065 |
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author | Ayestaran, Iñigo Galhoz, Ana Spiegel, Elmar Sidders, Ben Dry, Jonathan R. Dondelinger, Frank Bender, Andreas McDermott, Ultan Iorio, Francesco Menden, Michael P. |
author_facet | Ayestaran, Iñigo Galhoz, Ana Spiegel, Elmar Sidders, Ben Dry, Jonathan R. Dondelinger, Frank Bender, Andreas McDermott, Ultan Iorio, Francesco Menden, Michael P. |
author_sort | Ayestaran, Iñigo |
collection | PubMed |
description | High-throughput drug screens in cancer cell lines test compounds at low concentrations, thereby enabling the identification of drug-sensitivity biomarkers, while resistance biomarkers remain underexplored. Dissecting meaningful drug responses at high concentrations is challenging due to cytotoxicity, i.e., off-target effects, thus limiting resistance biomarker discovery to frequently mutated cancer genes. To address this, we interrogate subpopulations carrying sensitivity biomarkers and consecutively investigate unexpectedly resistant (UNRES) cell lines for unique genetic alterations that may drive resistance. By analyzing the GDSC and CTRP datasets, we find 53 and 35 UNRES cases, respectively. For 24 and 28 of them, we highlight putative resistance biomarkers. We find clinically relevant cases such as EGFR(T790M) mutation in NCI-H1975 or PTEN loss in NCI-H1650 cells, in lung adenocarcinoma treated with EGFR inhibitors. Interrogating the underpinnings of drug resistance with publicly available CRISPR phenotypic assays assists in prioritizing resistance drivers, offering hypotheses for drug combinations. |
format | Online Article Text |
id | pubmed-7660407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-76604072020-11-16 Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens Ayestaran, Iñigo Galhoz, Ana Spiegel, Elmar Sidders, Ben Dry, Jonathan R. Dondelinger, Frank Bender, Andreas McDermott, Ultan Iorio, Francesco Menden, Michael P. Patterns (N Y) Article High-throughput drug screens in cancer cell lines test compounds at low concentrations, thereby enabling the identification of drug-sensitivity biomarkers, while resistance biomarkers remain underexplored. Dissecting meaningful drug responses at high concentrations is challenging due to cytotoxicity, i.e., off-target effects, thus limiting resistance biomarker discovery to frequently mutated cancer genes. To address this, we interrogate subpopulations carrying sensitivity biomarkers and consecutively investigate unexpectedly resistant (UNRES) cell lines for unique genetic alterations that may drive resistance. By analyzing the GDSC and CTRP datasets, we find 53 and 35 UNRES cases, respectively. For 24 and 28 of them, we highlight putative resistance biomarkers. We find clinically relevant cases such as EGFR(T790M) mutation in NCI-H1975 or PTEN loss in NCI-H1650 cells, in lung adenocarcinoma treated with EGFR inhibitors. Interrogating the underpinnings of drug resistance with publicly available CRISPR phenotypic assays assists in prioritizing resistance drivers, offering hypotheses for drug combinations. Elsevier 2020-07-02 /pmc/articles/PMC7660407/ /pubmed/33205120 http://dx.doi.org/10.1016/j.patter.2020.100065 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ayestaran, Iñigo Galhoz, Ana Spiegel, Elmar Sidders, Ben Dry, Jonathan R. Dondelinger, Frank Bender, Andreas McDermott, Ultan Iorio, Francesco Menden, Michael P. Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens |
title | Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens |
title_full | Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens |
title_fullStr | Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens |
title_full_unstemmed | Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens |
title_short | Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens |
title_sort | identification of intrinsic drug resistance and its biomarkers in high-throughput pharmacogenomic and crispr screens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660407/ https://www.ncbi.nlm.nih.gov/pubmed/33205120 http://dx.doi.org/10.1016/j.patter.2020.100065 |
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