Literature DB >> 28321040

Whole exome sequencing detects variants of genes that mediate response to anticancer drugs.

Sumiko Ohnami1, Takeshi Nagashima, Kenichi Urakami, Yuji Shimoda, Fukumi Kamada, Junko Saito, Akane Naruoka, Masakuni Serizawa, Yoko Masuda, Shumpei Ohnami, Masatoshi Kusuhara, Ken Yamaguchi.   

Abstract

Certain interindividual differences affecting the efficacy of drug treatment and adverse drug reactions are caused by genetic variants, and their phenotypic effects differ among ethnic groups. In this study, we used whole exome sequencing (WES) systematically to identify germline mutations that influence the activities of drug-metabolizing enzymes, as well as that of a transporter. We analyzed DNA isolated from blood samples from 2,042 Japanese patients with diverse cancers. We identified sequence variants of CYP2B6 (rs3745274), CYP2C9 (rs1057910), CYP2C19 (rs4986893), CYP2C19 (rs4244285), TPMT (rs1142345), NAT2 (rs1799930), NAT2 (rs1799931), UGT1A1 (rs4148323), COMT (rs4680), ABCB1 (rs1045642), and CDA (rs60369023). Wider application of WES will help to determine the effects of mutations on the activities of proteins encoded by drug response genes, and the information gained will accelerate the development of personalized therapies for patients with cancer. Moreover, this knowledge may provide clues for preventing cancer before the onset of symptoms.

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Year:  2017        PMID: 28321040     DOI: 10.2131/jts.42.137

Source DB:  PubMed          Journal:  J Toxicol Sci        ISSN: 0388-1350            Impact factor:   2.196


  2 in total

1.  Decoding variants in drug-metabolizing enzymes and transporters in solid tumor patients by whole-exome sequencing.

Authors:  Mourad A M Aboul-Soud; Alhussain J Alzahrani; Amer Mahmoud
Journal:  Saudi J Biol Sci       Date:  2020-11-05       Impact factor: 4.219

2.  Influence of genetic variants of opioid-related genes on opioid-induced adverse effects in patients with lung cancer: A STROBE-compliant observational study.

Authors:  Rei Tanaka; Junya Sato; Hiroshi Ishikawa; Tetsu Sato; Michihiro Shino; Yasuhisa Ohde; Tetsumi Sato; Keita Mori; Akifumi Notsu; Sumiko Ohnami; Maki Mizuguchi; Takeshi Nagashima; Ken Yamaguchi
Journal:  Medicine (Baltimore)       Date:  2021-11-05       Impact factor: 1.817

  2 in total

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