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Clinically relevant cancer biomarkers and pharmacogenetic assays

机译:临床相关的癌症生物标志物和药物遗传学测定

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Background: The number of pharmacogenetic assays available is continuously expanding as more molecularly targeted anticancer drugs are under clinical development. While the literature regarding drug-gene associations and therapeutic implications is often robust, reviews regarding clinical assay availability and profiling methodologies of commonly used cancer biomarkers are often lacking. Objective: To concisely identify and describe cancer biomarkers and their respective pharmacogenetic assays currently available in clinical practice. Discussion: Analysis of germ-line DNA mutations can often help to predict pharmacokinetic and pharmacodynamic responses, whereas somatic DNA mutations are particularly useful in predicting tumor response. Molecular profiling and pre-emptive identification of cancer biomarkers can help to predict disease prognosis as well as response to anticancer therapy. Dozens of pharmacogenetic assays, utilizing several common methodologies, are currently available in clinical practice. It is essential for clinicians to understand the molecular pathways for anticancer drugs, the therapeutic implications of mutations within these pathways, the clinical assay(s) available to test for pharmacogenetic differences, and the common profiling methodology employed. Conclusion: As research continues to unveil more drug-gene and disease-gene associations, it is critical that clinicians understand which pharmacogenetic assays are available to identify inter-individual differences that predict safety and efficacy of anticancer drugs as we move toward the concept of personalized medicine.
机译:背景:随着更多分子靶向的抗癌药物正在临床开发中,可用的药物遗传学检测方法的数量正在不断扩大。尽管关于药物基因关联和治疗意义的文献通常是可靠的,但通常缺乏关于临床测定可用性和常用癌症生物标记物分析方法的综述。目的:简明地鉴定和描述目前在临床实践中可用的癌症生物标志物及其各自的药物遗传学测定。讨论:生殖系DNA突变的分析通常可以帮助预测药代动力学和药效动力学反应,而体细胞DNA突变在预测肿瘤反应中特别有用。癌症生物标志物的分子谱分析和先发鉴定可以帮助预测疾病的预后以及对抗癌疗法的反应。目前,在临床实践中可以利用数十种常用的方法学进行数十种药物遗传学测定。对于临床医生而言,了解抗癌药物的分子途径,这些途径中的突变的治疗意义,可用于测试药物遗传学差异的临床分析方法以及所采用的常用分析方法至关重要。结论:随着研究不断揭示更多的药物基因和疾病基因关联,至关重要的是,在我们朝着个性化概念迈进的过程中,临床医生了解哪些药物遗传学测定方法可用于识别个体间差异,从而预测抗癌药物的安全性和有效性。药物。

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