Programa de Farmacologia, Coordenação de Pesquisa, Instituto Nacional do Câncer Rio de Janeiro, Brazil ; Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro Rio de Janeiro, Brazil.
Front Genet. 2013 Jan 22;3:329. doi: 10.3389/fgene.2012.00329. eCollection 2012.
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.
乳腺癌是女性中最常见的癌症,其发病率在全球范围内呈上升趋势。尽管由于早期发现和治疗,死亡率趋于下降,但临床反应和生存的比率存在很大差异,这使得乳腺癌成为药物基因组学研究最有吸引力的目标之一。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结局。除了他莫昔芬,乳腺癌的化疗还包括细胞毒性药物的组合,这些药物是各种外源性代谢酶的底物。由于这些药物的治疗窗较窄,因此有人假设生物转化受损可能导致毒性增加。在本综述中,我们对所有已发表的探索外源性代谢酶多态性与乳腺癌临床结局之间关联的研究数据进行了系统搜索。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,并汇编了所有关于反应或毒性的信息。这些数据表明,尽管 CYP2D6 多态性确实可以改变他莫昔芬的药代动力学,但仅 CYP2D6 基因分型不足以预测乳腺癌的结局。涉及其他化疗方案的研究探索了广泛的药物遗传学靶点,但针对每个功能性多态性的研究数量仍然非常有限,通常无法确认阳性关联。总之,将药物遗传学应用于预测乳腺癌的结局和选择个体的化疗方案仍远未达到临床常规。尽管已经产生了一些非常有趣的结果,但尚未得到明确的实际建议。