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High-throughput screening and genome-wide analyses of 44 anticancer drugs in the 1000 Genomes cell lines reveals an association of the NQO1 gene with the response of multiple anticancer drugs.
Akhtari, Farida S; Green, Adrian J; Small, George W; Havener, Tammy M; House, John S; Roell, Kyle R; Reif, David M; McLeod, Howard L; Wiltshire, Timothy; Motsinger-Reif, Alison A.
Afiliação
  • Akhtari FS; Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.
  • Green AJ; Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, United States of America.
  • Small GW; Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.
  • Havener TM; Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, United States of America.
  • House JS; Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Roell KR; Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Reif DM; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina, United States of America.
  • McLeod HL; Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, United States of America.
  • Wiltshire T; Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.
  • Motsinger-Reif AA; Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, United States of America.
PLoS Genet ; 17(8): e1009732, 2021 08.
Article em En | MEDLINE | ID: mdl-34437536
Cancer patients exhibit a broad range of inter-individual variability in response and toxicity to widely used anticancer drugs, and genetic variation is a major contributor to this variability. To identify new genes that influence the response of 44 FDA-approved anticancer drug treatments widely used to treat various types of cancer, we conducted high-throughput screening and genome-wide association mapping using 680 lymphoblastoid cell lines from the 1000 Genomes Project. The drug treatments considered in this study represent nine drug classes widely used in the treatment of cancer in addition to the paclitaxel + epirubicin combination therapy commonly used for breast cancer patients. Our genome-wide association study (GWAS) found several significant and suggestive associations. We prioritized consistent associations for functional follow-up using gene-expression analyses. The NAD(P)H quinone dehydrogenase 1 (NQO1) gene was found to be associated with the dose-response of arsenic trioxide, erlotinib, trametinib, and a combination treatment of paclitaxel + epirubicin. NQO1 has previously been shown as a biomarker of epirubicin response, but our results reveal novel associations with these additional treatments. Baseline gene expression of NQO1 was positively correlated with response for 43 of the 44 treatments surveyed. By interrogating the functional mechanisms of this association, the results demonstrate differences in both baseline and drug-exposed induction.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: NAD(P)H Desidrogenase (Quinona) / Biomarcadores Farmacológicos / Antineoplásicos Tipo de estudo: Diagnostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: NAD(P)H Desidrogenase (Quinona) / Biomarcadores Farmacológicos / Antineoplásicos Tipo de estudo: Diagnostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article