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New evidence-based adaptive clinical trial methods for optimally integrating predictive biomarkers into oncology clinical development programs

机译:新的基于证据的适应性临床试验方法可将预测生物标记物最佳地整合到肿瘤学临床开发计划中

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摘要

Predictive biomarkers are important to the future of oncology; they can be used to identify patient populations who will benefit from therapy, increase the value of cancer medicines, and decrease the size and cost of clinical trials while increasing their chance of success. But predictive biomarkers do not always work. When unsuccessful, they add cost, complexity, and time to drug development. This perspective describes phases 2 and 3 development methods that efficiently and adaptively check the ability of a biomarker to predict clinical outcomes. In the end, the biomarker is emphasized to the extent that it can actually predict.
机译:预测性生物标志物对于肿瘤学的未来至关重要。它们可用于识别将从治疗中受益,增加抗癌药物价值,减小临床试验规模和成本,同时增加其成功机会的患者人群。但是预测性生物标记并不总是有效。如果不成功,它们会增加药物开发的成本,复杂性和时间。该观点介绍了第2和第3阶段开发方法,这些方法可以有效地自适应检查生物标志物预测临床结果的能力。最后,对生物标志物的重视程度应在其可以实际预测的范围内。

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