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首页> 外文期刊>Current topics in medicinal chemistry >Polymorphisms to predict outcome to the tyrosine kinase inhibitors gefitinib, erlotinib, sorafenib and sunitinib
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Polymorphisms to predict outcome to the tyrosine kinase inhibitors gefitinib, erlotinib, sorafenib and sunitinib

机译:多态性可预测酪氨酸激酶抑制剂吉非替尼,厄洛替尼,索拉非尼和舒尼替尼的疗效

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Conventional chemotherapeutic regimens have limited impact against most solid tumors and deal with significant toxicity. During the last years novel anticancer treatments targeting specific molecules or genes involved in cancer development are being developed to improve outcome and reduce side-effects. In particular several tyrosine-kinase inhibitors (TKIs, gefitinib, erlotinib, sorafenib and sunitinib) have been approved for the treatment of different solid tumors. Their clinical activity has been related to different clinical and biological parameters, such as the EGFR-activating mutations for gefitinib and erlotinib. However, not all clinical outcomes, including tolerability, are explained, and the identification/validation of novel biomarkers is a viable area of research. Germline polymorphisms can be easily assessed in blood samples, and polymorphisms in EGFR, AKT1 and ABCG2 have been correlated with outcome and toxicity in lung cancer patients given EGFR-TKIs therapies. However, there are several controversial findings, influenced by differences in study design/analysis, while the prognostic/predictive role of these polymorphisms still needs to be evaluated within prospective studies. More studies on the relationship of the genotype with drug pharmacokinetics and mechanism of action are also warranted. All these studies, as well as further development and application of novel technologies to decipher genetic alterations, might contribute to the validation of selected polymorphisms as molecular markers predictive of drug activity and help in the selection of TKIs best suited to the individual patient.
机译:常规化学疗法对大多数实体瘤的影响有限,并且具有明显的毒性。在最近几年中,正在开发针对癌症发展中涉及的特定分子或基因的新型抗癌治疗方法,以改善治疗效果并减少副作用。特别地,已经批准了几种酪氨酸激酶抑制剂(TKI,吉非替尼,厄洛替尼,索拉非尼和舒尼替尼)用于治疗不同的实体瘤。它们的临床活性与不同的临床和生物学参数有关,例如吉非替尼和厄洛替尼的EGFR激活突变。然而,并未解释包括耐受性在内的所有临床结果,并且新型生物标志物的鉴定/验证是一个可行的研究领域。可以很容易地在血液样本中评估种系多态性,并且EGFR,AKT1和ABCG2的多态性与接受EGFR-TKIs治疗的肺癌患者的预后和毒性相关。然而,受研究设计/分析差异的影响,存在一些有争议的发现,而这些多态性的预后/预测作用仍需在前瞻性研究中进行评估。还需要对基因型与药物药代动力学的关系和作用机理进行更多的研究。所有这些研究以及破译基因改变的新技术的进一步开发和应用,可能有助于验证选定的多态性作为预测药物活性的分子标记,并有助于选择最适合个体患者的TKI。

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