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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.
Afiliação
  • Ayestaran I; Institute of Computational Biology, Helmholtz Zentrum München GmbH-German Research Center for Environmental Health, Neuherberg 85764, Germany.
  • Galhoz A; CRUK Cambridge Centre Early Detection Programme, Department of Oncology, University of Cambridge, Cambridge, UK.
  • Spiegel E; Institute of Computational Biology, Helmholtz Zentrum München GmbH-German Research Center for Environmental Health, Neuherberg 85764, Germany.
  • Sidders B; Department of Biology, Ludwig-Maximilians University Munich, Martinsried 82152, Germany.
  • Dry JR; Institute of Computational Biology, Helmholtz Zentrum München GmbH-German Research Center for Environmental Health, Neuherberg 85764, Germany.
  • Dondelinger F; Research and Early Development, Oncology, AstraZeneca, Cambridge CB4 0WG, UK.
  • Bender A; Research and Early Development, Oncology, AstraZeneca, Boston, MA 02451, USA.
  • McDermott U; Tempus Labs, Boston, MA, USA.
  • Iorio F; Centre for Health Informatics, Computation and Statistics, Lancaster Medical School, Lancaster University, Lancaster LA1 4YW, UK.
  • Menden MP; Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.
Patterns (N Y) ; 1(5): 100065, 2020 Aug 14.
Article em En | MEDLINE | ID: mdl-33205120
ABSTRACT
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 EGFRT790M 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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article