Literature DB >> 25379720

Copy number variability analysis of pharmacogenes in patients with lymphoma, leukemia, hepatocellular, and lung carcinoma using The Cancer Genome Atlas data.

In-Wha Kim1, Nayoung Han, Myeong Gyu Kim, Therasa Kim, Jung Mi Oh.   

Abstract

OBJECTIVE: Individual differences in drug efficacy and toxicity remain an important clinical concern. We investigated copy number variation (CNV) frequencies for pharmacogenes using The Cancer Genome Atlas dataset.
MATERIALS AND METHODS: One hundred and fifty-two pharmacogenes were selected from liver hepatocellular carcinoma, lung squamous cell carcinoma (LUSC), acute myeloid leukemia, and lymphoid neoplasm diffuse large B-cell lymphoma (DLBL). The germ line and somatic CNV frequencies were analyzed.
RESULTS: We found CNVs with more than 1% frequency in drug-metabolizing enzymes including CYP2A6, CYP2D6, GSTP1, CYP2E1, GSTM1, GSTT1, and SULT1A1, drug transporters such as SLC19A1 and SLC28A1, and targets such as FHIT in normal tissue or blood. GSTM1 had the highest frequency for gene gain (45.45, 39.18, 31.01, and 34.77%, respectively) and for gene loss (18.18, 29.38, 20.89, and 26.68%, respectively) in DLBL, acute myeloid leukemia, liver hepatocellular carcinoma, and LUSC. P2RY12 and P2RY1 had the highest frequency for gene gain in LUSC (26.95 and 26.68%, respectively) whereas ABCB1 and ABL2 had the highest frequency for gene gain in DLBL (27.27%) in cancer tissue or blood.
CONCLUSION: Germ line and somatic CNVs of pharmacogenes may play a role in determining individual variations in drug responses. Inclusion of CNVs in pharmacogenetic variations holds promise as biomarkers that can increase the benefits and reduce the risks of drug therapy on an individual level.

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Year:  2015        PMID: 25379720     DOI: 10.1097/FPC.0000000000000097

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  8 in total

Review 1.  The impact of the Cancer Genome Atlas on lung cancer.

Authors:  Jeremy T-H Chang; Yee Ming Lee; R Stephanie Huang
Journal:  Transl Res       Date:  2015-08-10       Impact factor: 7.012

2.  Copy number variations' effect on drug response still overlooked.

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3.  Copy number variation profiling in pharmacogenes using panel-based exome resequencing and correlation to human liver expression.

Authors:  Roman Tremmel; Kathrin Klein; Florian Battke; Sarah Fehr; Stefan Winter; Tim Scheurenbrand; Elke Schaeffeler; Saskia Biskup; Matthias Schwab; Ulrich M Zanger
Journal:  Hum Genet       Date:  2019-11-30       Impact factor: 4.132

4.  Relationship of SULT1A1 copy number variation with estrogen metabolism and human health.

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Review 5.  P2Y receptors for extracellular nucleotides: Contributions to cancer progression and therapeutic implications.

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Journal:  BMC Med Genomics       Date:  2019-07-19       Impact factor: 3.063

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Authors:  Nikolai V Litviakov; Nadezhda V Cherdyntseva; Matvey M Tsyganov; Elena M Slonimskaya; Marina K Ibragimova; Polina V Kazantseva; Julia Kzhyshkowska; Eugeniy L Choinzonov
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Review 8.  Roles of Sorcin in Drug Resistance in Cancer: One Protein, Many Mechanisms, for a Novel Potential Anticancer Drug Target.

Authors:  Theo Battista; Annarita Fiorillo; Valerio Chiarini; Ilaria Genovese; Andrea Ilari; Gianni Colotti
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  8 in total

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