Simulation of drug-drug interactions between breast cancer chemotherapeutic agents and antiemetic drugs.

Subrata Deb, Robert Hopefl
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Abstract

Background: Chemotherapy-induced nausea and vomiting are commonly experienced side effects in breast cancer (BCa) patients. Antiemetic drugs used in BCa treatment are either inhibitors or inducers of cytochrome P450 (CYP) enzymes, while anticancer drugs are metabolized by CYPs.

Objectives: The purpose of the present work was to evaluate in silico drug-drug interaction (DDI) potential between BCa chemotherapeutic drugs and antiemetic agents.

Methods: The Drug-Drug Interaction™ module of GastroPlus™ was employed to assess CYP-related interactions between antiemetic and anticancer therapy combinations. The CYP inhibitory or inducing parameters (IC50, Ki, EC50) used in simulations were obtained from the literature.

Results: Analyses of twenty-three BCa drugs indicated that 22% of the chemotherapeutic drugs do not need an antiemetic agent due to their low emetogenicity, whereas 30% of the anticancer drugs are not metabolized by CYPs. The remaining eleven anticancer drugs metabolized by CYPs generated ninety-nine combinations with nine antiemetics. Simulation of DDIs suggest that about half of the pairs did not demonstrate any potential for DDI, whereas 30%, 10%, and 9% of the pairs showed weak, moderate, and strong interaction potential, respectively. In the present study, netupitant was the only antiemetic that showed strong inhibitory interactions (predicted AUC ratio > 5) with CYP3A4-metabolzied anticancer therapies (e.g., docetaxel, ribociclib, olaparib). Moderate to no interactions were observed with ondansetron, aprepitant, rolapitant, and dexamethasone in combination with anticancer agents.

Conclusion: It is critical to recognize that these interactions can get amplified in cancer patients because of the severity of the disease and chemotherapy toxicities. Clinicians need to be aware of the DDI likelihood of the drug combinations used in BCa treatment.

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癌症化疗药物和止吐药物之间药物相互作用的模拟。
背景:化疗引起的恶心和呕吐是癌症(BCa)患者常见的副作用。用于BCa治疗的止吐药物是细胞色素P450(CYP)酶的抑制剂或诱导剂,而抗癌药物则由CYP代谢。目的:本工作的目的是评估BCa化疗药物和止吐药物之间的计算机药物相互作用(DDI)潜力。方法:药物相互作用™ GastroPlus模块™ 用于评估止吐和抗癌治疗组合之间CYP相关的相互作用。模拟中使用的CYP抑制或诱导参数(IC50、Ki、EC50)来自文献。结果:对23种BCa药物的分析表明,22%的化疗药物由于其低吐出性而不需要止吐剂,而30%的抗癌药物不通过CYP代谢。其余11种由CYP代谢的抗癌药物产生了99种与9种止吐药的组合。DDI的模拟表明,大约一半的对没有表现出任何DDI的潜力,而30%、10%和9%的对分别表现出弱、中等和强的相互作用潜力。在本研究中,netupitant是唯一表现出强烈抑制相互作用的止吐药(预测AUC比率 > 5) CYP3A4代谢组化抗癌疗法(例如,多西他赛、核糖ciclib、奥拉帕尼)。观察到昂丹司琼、阿普雷平、外消旋体和地塞米松与抗癌药物的中度至无相互作用。结论:重要的是要认识到,由于疾病的严重性和化疗毒性,这些相互作用在癌症患者中可能会被放大。临床医生需要意识到BCa治疗中使用的药物组合的DDI可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Correction: Flavonoid as possible therapeutic targets against COVID-19: a scoping review of in silico studies. A rare case of phenobarbital-induced leukocytoclastic vasculitis. Deciphering the similarities and disparities of molecular mechanisms behind respiratory epithelium response to HCoV-229E and SARS-CoV-2 and drug repurposing, a systems biology approach. Simulation of drug-drug interactions between breast cancer chemotherapeutic agents and antiemetic drugs. The use of therapeutic drug monitoring to highlight an over-looked drug-drug interaction leading to imatinib treatment failure.
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