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Functional Polymorphisms in Xenobiotic Metabolizing Enzymes and Their Impact on the Therapy of Breast Cancer

机译:异源代谢酶中的功能多态性及其对乳腺癌治疗的影响

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摘要

Breast cancer is the top cancer among women, and its incidence is increasing worldwide. Although the mortality tends to decrease due to early detection and treatment, there is great variability in the rates of clinical response and survival, which makes breast cancer one of the most appealing targets for pharmacogenomic studies. The recognition that functional CYP2D6 polymorphisms affect tamoxifen pharmacokinetics has motivated the attempts of using CYP2D6 genotyping for predicting breast cancer outcomes. In addition to tamoxifen, the chemotherapy of breast cancer includes combinations of cytotoxic drugs, which are substrates for various xenobiotic metabolizing enzymes. Because of these drugs’ narrow therapeutic window, it has been postulated that impaired biotransformation could lead to increased toxicity. In the present review, we performed a systematic search of all published data exploring associations between polymorphisms in xenobiotic metabolizing enzymes and clinical outcomes of breast cancer. We retrieved 43 original articles involving either tamoxifen or other chemotherapeutic protocols, and compiled all information regarding response or toxicity. The data indicate that, although CYP2D6 polymorphisms can indeed modify tamoxifen pharmacokinetics, CYP2D6 genotyping alone is not enough for predicting breast cancer outcomes. The studies involving other chemotherapeutic protocols explored a great diversity of pharmacogenetic targets, but the number of studies for each functional polymorphism is still very limited, with usually no confirmation of positive associations. In conclusion, the application of pharmacogenetics to predict breast cancer outcomes and to select one individual’s chemotherapeutic protocol is still far from clinical routine. Although some very interesting results have been produced, no clear practical recommendations are recognized yet.
机译:乳腺癌是女性中头号癌症,其发病率在全世界范围内正在上升。尽管由于早期发现和治疗,死亡率趋于降低,但是临床反应和生存率存在很大差异,这使乳腺癌成为药物基因组学研究中最有吸引力的靶标之一。认识到功能性CYP2D6多态性会影响他莫昔芬的药代动力学,这促使人们尝试使用CYP2D6基因分型来预测乳腺癌的预后。除他莫昔芬外,乳腺癌的化学疗法还包括细胞毒性药物的组合,这些药物是各种异源生物代谢酶的底物。由于这些药物的治疗窗口狭窄,因此推测生物转化受损会导致毒性增加。在本综述中,我们对所有已发表的数据进行了系统的搜索,探讨了异种代谢酶中多态性与乳腺癌临床结局之间的关联。我们检索了43篇涉及他莫昔芬或其他化疗方案的原始文章,并汇总了有关反应或毒性的所有信息。数据表明,尽管CYP2D6多态性确实可以改变他莫昔芬的药代动力学,但仅靠CYP2D6基因分型还不足以预测乳腺癌的预后。涉及其他化学治疗方案的研究探索了多种药物遗传学靶标,但是每种功能多态性的研究数量仍然非常有限,通常没有阳性关联的证实。总之,药物遗传学在预测乳腺癌预后和选择个体化疗方案方面的应用还远远没有达到临床常规。尽管已经产生了一些非常有趣的结果,但尚无明确的实用建议。

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