Pharmacogenomics-Based Detection of Variants Involved in Pain, Anti-inflammatory and Immunomodulating Agents Pathways by Whole Exome Sequencing and Deep in Silico Investigations Revealed Novel Chemical Carcinogenesis and Cancer Risks.

IF 1.6 Q2 MEDICINE, GENERAL & INTERNAL
Alireza Sharafshah, Majid Motovali-Bashi, Parvaneh Keshavarz
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引用次数: 0

Abstract

Background: Next-Generation Sequencing (NGS) methods specifically Whole-Exome Sequencing (WES) have demonstrated promising findings with a high accuracy of 91%-99% in Pharmacogenomics (PGx). A PGx-based panel can be utilized to minimize adverse drug reactions (ADRs) and maximize the treatment efficacy. Remarkably, Cancer Pain Management (CPM) is a cutting-edge concept in modern medicine. Thus, this study aimed to investigate the WES results by a PGx-based panel containing genes involved in Pain, Anti-inflammatory, and Immunomodulating agents (PAIma) signaling pathways.

Methods: A total of 200 unrelated Iranians (100 western and 100 northern) were included. 100 WES results were analyzed through the PAIma panel. After DNA extraction, 100 samples were genotyped by Multiplex-Amplification-Refractory Mutation System (ARMS) PCR. A primary in silico investigation performed on 128 candidate genes through Protein-Protein Interactions (PPIs) and Gene-miRNA Interactions (GMIs) via the STRING database, and miRTargetLink2, respectively. Additionally, Enrichment Analysis (EA) was applied to find the unknown interplays among these three major pathways by Enrichr.

Results: 55,590 annotations through 21 curated pathways were filtered, 900 variants were found, and 128 genes were refined. Finally, 54 candidate variants (48 non-synonymous single nucleotide variants (nsSNVs), 2 stop-gained, 1 frameshift, and 3 splicing) remained.

Conclusion: Conclusively, six potentially actionable variants including rs1695 (GSTP1), rs628031 (SLC22A1), rs17863778 (UGT1A7), rs16947 (CYP2D6), rs2257401 (CYP3A7), and rs2515641 (CYP2E1) had the most deviations among Iranians, compared with the reference genome, which should be genotyped for drug prescribing. Remarkably, PPIs, GMIs, and EA revealed potential risks of carcinogenesis and cancer phenotypes resulting from PAIma pathways genes.

通过全外显子组测序和深度硅学调查,基于药物基因组学的疼痛、抗炎和免疫调节药物通路变异的检测揭示了新型化学致癌物质和癌症风险。
背景:新一代测序(NGS)方法,特别是全外显子组测序(WES)在药物基因组学(PGx)中具有91%-99%的高准确性。以pgx为基础的面板可以最大限度地减少药物不良反应(adr),最大限度地提高治疗效果。值得注意的是,癌症疼痛管理(CPM)是现代医学的前沿概念。因此,本研究旨在通过一个包含疼痛、抗炎和免疫调节剂(PAIma)信号通路相关基因的基于pgx的小组来研究WES结果。方法:共纳入200名无血缘关系的伊朗人(西部和北部各100名)。通过PAIma面板对100例WES结果进行分析。提取DNA后,对100份样品进行多重扩增-难解突变系统(ARMS) PCR分型。通过STRING数据库和miRTargetLink2分别通过蛋白-蛋白相互作用(PPIs)和基因- mirna相互作用(GMIs)对128个候选基因进行了初步的计算机研究。此外,富集分析(EA)应用富集分析发现这三个主要途径之间未知的相互作用。结果:通过21个筛选途径筛选了55,590个注释,发现了900个变体,并精炼了128个基因。最后,保留了54个候选变异(48个非同义单核苷酸变异(nssnv), 2个停止获得,1个移码和3个剪接)。结论:与参考基因组相比,伊朗人中rs1695 (GSTP1)、rs628031 (SLC22A1)、rs17863778 (UGT1A7)、rs16947 (CYP2D6)、rs2257401 (CYP3A7)和rs2515641 (CYP2E1) 6个潜在可操作变异偏差最大,应对其进行基因分型以确定处方。值得注意的是,PPIs、GMIs和EA揭示了由PAIma通路基因引起的致癌和癌症表型的潜在风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Iranian Journal of Medical Sciences
Iranian Journal of Medical Sciences MEDICINE, GENERAL & INTERNAL-
CiteScore
3.20
自引率
0.00%
发文量
84
审稿时长
12 weeks
期刊介绍: The Iranian Journal of Medical Sciences (IJMS) is an international quarterly biomedical publication, which is sponsored by Shiraz University of Medical Sciences. The IJMS intends to provide a scientific medium of com­muni­cation for researchers throughout the globe. The journal welcomes original clinical articles as well as clinically oriented basic science re­search experiences on prevalent diseases in the region and analysis of various regional problems.
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