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通过全外显子组测序解码实体瘤患者药物代谢酶和转运蛋白中的变异体

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

作者信息

Aboul-Soud Mourad A M, Alzahrani Alhussain J, Mahmoud Amer

机构信息

Chair of Medical and Molecular Genetics Research, Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh 11433, Saudi Arabia.

Department of Microbiology, College of Applied Medical Sciences, University of Hafre Al Batin, Hafre Al Batin, Saudi Arabia.

出版信息

Saudi J Biol Sci. 2021 Jan;28(1):628-634. doi: 10.1016/j.sjbs.2020.10.052. Epub 2020 Nov 5.

Abstract

BACKGROUND

Pharmacogenetics is involved in customizing therapy according to the genetic makeup of an individual, and is applicable for chemotherapy, radiotherapy as well as targeted therapy. Drug metabolizing enzymes (DMEs) involving both phase I, and phase II reactions are widely studied. Our study was involved in whole exome sequencing (WES) of cancer patients, followed by analysis for identifying key variations in DMEs, and associated transporters that have a potential impact on treatment outcome.

METHODOLOGY

A total of 181 solid tumor patients at stage >/= III were subjected to WES by the SureSelect Human All Exon V6 + UTR library preparation kit, and sequencing in the Illumina NextSeq 550 system. Bioinformatics analysis involved use of GATK pipeline, and the variants were further assessed for population frequency, functional impact with annovar insilico algorithms. Further variant information from significant DMEs, and transporters were extracted and analyzed with PharmGKB to assess level of evidence and infer their impact on the pathways involved in drug response.

RESULTS

The total study cohort of 181 solid tumor patients included 60 males, and 121 females respectively. Among DMEs, deleterious mutation in dihydropyrimidine dehydrogenase ( rs67376798), solute carrier organic anion transporter family member 1B1 (), and cytochrome P450 2D6 () associated with metabolism of anticancer drugs was detected to be in high frequency of 26%, 21% and 25% respectively.

CONCLUSION

Our analysis detected variations in both phase I and phase II DMEs, as well as associated transporter genes which has been documented to reduce drug efficacy, as well as cause grade 3 and 4 toxicity. Our study reiterates the significance of pharmacogenomics in stratifying patients for appropriate therapy regimen focused at better treatment outcome and quality of life.

摘要

背景

药物遗传学涉及根据个体的基因构成定制治疗方案,适用于化疗、放疗以及靶向治疗。对参与I期和II期反应的药物代谢酶(DME)进行了广泛研究。我们的研究涉及癌症患者的全外显子组测序(WES),随后进行分析以确定DME以及相关转运蛋白中的关键变异,这些变异可能对治疗结果产生潜在影响。

方法

总共181例III期及以上的实体瘤患者使用SureSelect Human All Exon V6 + UTR文库制备试剂盒进行WES,并在Illumina NextSeq 550系统中进行测序。生物信息学分析使用GATK流程,并且使用annovar计算机算法进一步评估变异的人群频率和功能影响。从重要的DME和转运蛋白中提取进一步的变异信息,并使用PharmGKB进行分析,以评估证据水平并推断它们对药物反应所涉及途径的影响。

结果

181例实体瘤患者的总研究队列中分别包括60名男性和121名女性。在DME中,检测到与抗癌药物代谢相关的二氢嘧啶脱氢酶(rs67376798)、溶质载体有机阴离子转运蛋白家族成员1B1()和细胞色素P450 2D6()中的有害突变,其高频分别为26%、21%和25%。

结论

我们的分析检测到I期和II期DME以及相关转运蛋白基因的变异,这些变异已被证明会降低药物疗效,并导致3级和4级毒性。我们的研究重申了药物基因组学在为患者分层以制定合适治疗方案方面的重要性,该方案旨在获得更好的治疗结果和生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29e/7783809/3fd00dca7069/gr1a.jpg

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