Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, 147002, Patiala, Punjab, India.
Clin Pharmacokinet. 2022 Nov;61(11):1495-1517. doi: 10.1007/s40262-022-01174-7. Epub 2022 Sep 30.
The inter-individual differences in cancer susceptibility are somehow correlated with the genetic differences that are caused by the polymorphisms. These genetic variations in drug-metabolizing enzymes/drug-inactivating enzymes may negatively or positively affect the pharmacokinetic profile of chemotherapeutic agents that eventually lead to pharmacokinetic resistance and toxicity against anti-cancer drugs. For instance, the CYP1B1*3 allele is associated with CYP1B1 overexpression and consequent resistance to a variety of taxanes and platins, while 496T>G is associated with lower levels of dihydropyrimidine dehydrogenase, which results in severe toxicities related to 5-fluorouracil. In this context, a pharmacogenomics approach can be applied to ascertain the role of the genetic make-up in a person's response to any drug. This approach collectively utilizes pharmacology and genomics to develop effective and safe medications that are devoid of resistance problems. In addition, recently reported genomics studies revealed the impact of many single nucleotide polymorphisms in tumors. These studies emphasized the importance of single nucleotide polymorphisms in drug-metabolizing enzymes on the effect of anti-tumor drugs. In this review, we discuss the pharmacogenomics aspect of polymorphisms in detail to provide an insight into the genetic manipulations in drug-metabolizing enzymes that are responsible for pharmacokinetic resistance or toxicity against well-known anti-cancer drugs. Special emphasis is placed on different deleterious single nucleotide polymorphisms and their effect on pharmacokinetic resistance. The information provided in this report may be beneficial to researchers, especially those who are working in the field of biotechnology and human genetics, in rationally manipulating the genetic information of patients with cancer who are undergoing chemotherapy to avoid the problem of pharmacokinetic resistance/toxicity associated with drug-metabolizing enzymes.
个体间癌症易感性的差异与由多态性引起的遗传差异有关。这些药物代谢酶/药物失活酶中的遗传变异可能会对化学治疗药物的药代动力学特征产生负面影响或正面影响,最终导致对癌症药物的药代动力学耐药性和毒性。例如,CYP1B1*3 等位基因与 CYP1B1 过表达有关,从而导致对多种紫杉烷类和铂类药物的耐药性,而 496T>G 与二氢嘧啶脱氢酶水平降低有关,这会导致与 5-氟尿嘧啶相关的严重毒性。在这种情况下,可以应用药物基因组学方法来确定遗传构成在个体对任何药物反应中的作用。这种方法综合利用药理学和基因组学来开发有效和安全的药物,而不会产生耐药问题。此外,最近报道的基因组学研究揭示了肿瘤中许多单核苷酸多态性的影响。这些研究强调了药物代谢酶中单核苷酸多态性对抗肿瘤药物作用的重要性。在这篇综述中,我们详细讨论了多态性的药物基因组学方面,以深入了解负责药代动力学耐药性或毒性的药物代谢酶中的遗传操作,特别是针对不同有害的单核苷酸多态性及其对药代动力学耐药性的影响。本报告提供的信息可能对研究人员,特别是从事生物技术和人类遗传学领域的研究人员有益,有助于对正在接受化疗的癌症患者的遗传信息进行合理操作,以避免与药物代谢酶相关的药代动力学耐药性/毒性问题。
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