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首页> 外文期刊>Blood: The Journal of the American Society of Hematology >Drug response in a genetically engineered mouse model of multiple myeloma is predictive of clinical efficacy
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Drug response in a genetically engineered mouse model of multiple myeloma is predictive of clinical efficacy

机译:基因工程小鼠多发性骨髓瘤模型中的药物反应可预测临床疗效

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The attrition rate for anticancer drugs entering clinical trials is unacceptably high. For multiple myeloma (MM), we postulate that this is because of preclinical models that overemphasize the antiproliferative activity of drugs, and clinical trials performed in refractory end-stage patients. We validate the Vk*MYC transgenic mouse as a faithful model to predict single-agent drug activity in MM with a positive predictive value of 67% (4 of 6) for clinical activity, and a negative predictive value of 86% (6 of 7) for clinical inactivity. We identify 4 novel agents that should be prioritized for evaluation in clinical trials. Transplantation of Vk*MYC tumor cells into congenic mice selected for a more aggressive disease that models end-stage drug-resistant MM and responds only to combinations of drugs with single-agent activity in untreated Vk*MYC MM. We predict that combinations of standard agents, histone deacetylase inhibitors, bromodomain inhibitors, and hypoxia-activated prodrugs will demonstrate efficacy in the treatment of relapsed MM.
机译:进入临床试验的抗癌药物损耗率很高,令人无法接受。对于多发性骨髓瘤(MM),我们推测这是由于临床前模型过分强调了药物的抗增殖活性,并且在难治性晚期患者中进行了临床试验。我们验证了Vk * MYC转基因小鼠是预测MM中单药药物活性的可靠模型,其临床活性的阳性预测值为67%(6/4),而阴性预测值为86%(6/7) ),以减少临床活动。我们确定了在临床试验中应优先评估的4种新型药物。将Vk * MYC肿瘤细胞移植到为更具侵略性疾病而选择的同类小鼠中,该模型模拟晚期耐药性MM,并且仅对未经治疗的Vk * MYC MM中具有单药活性的药物组合产生反应。我们预测标准药物,组蛋白脱乙酰基酶抑制剂,溴结构域抑制剂和低氧激活的前药的组合将在复发性MM的治疗中显示出疗效。

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