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胶质母细胞瘤的适应性全球创新学习环境:GBM AGILE。

Adaptive Global Innovative Learning Environment for Glioblastoma: GBM AGILE.

机构信息

Center for Neuro-Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.

National Foundation for Cancer Research, Bethesda, Maryland.

出版信息

Clin Cancer Res. 2018 Feb 15;24(4):737-743. doi: 10.1158/1078-0432.CCR-17-0764. Epub 2017 Aug 16.

DOI:10.1158/1078-0432.CCR-17-0764
PMID:28814435
Abstract

Glioblastoma (GBM) is a deadly disease with few effective therapies. Although much has been learned about the molecular characteristics of the disease, this knowledge has not been translated into clinical improvements for patients. At the same time, many new therapies are being developed. Many of these therapies have potential biomarkers to identify responders. The result is an enormous amount of testable clinical questions that must be answered efficiently. The GBM Adaptive Global Innovative Learning Environment (GBM AGILE) is a novel, multi-arm, platform trial designed to address these challenges. It is the result of the collective work of over 130 oncologists, statisticians, pathologists, neurosurgeons, imagers, and translational and basic scientists from around the world. GBM AGILE is composed of two stages. The first stage is a Bayesian adaptively randomized screening stage to identify effective therapies based on impact on overall survival compared with a common control. This stage also finds the population in which the therapy shows the most promise based on clinical indication and biomarker status. Highly effective therapies transition in an inferentially seamless manner in the identified population to a second confirmatory stage. The second stage uses fixed randomization to confirm the findings from the first stage to support registration. Therapeutic arms with biomarkers may be added to the trial over time, while others complete testing. The design of GBM AGILE enables rapid clinical testing of new therapies and biomarkers to speed highly effective therapies to clinical practice. .

摘要

胶质母细胞瘤(GBM)是一种致命的疾病,治疗方法有限。尽管人们已经对该疾病的分子特征有了很多了解,但这些知识并未转化为患者的临床改善。与此同时,许多新的治疗方法正在开发中。其中许多治疗方法都有潜在的生物标志物来识别应答者。结果是产生了大量需要高效回答的可测试临床问题。GBM 适应性全球创新学习环境(GBM AGILE)是一种新颖的、多臂、平台试验,旨在应对这些挑战。它是来自世界各地的 130 多名肿瘤学家、统计学家、病理学家、神经外科医生、成像专家以及转化和基础科学家集体努力的结果。GBM AGILE 由两个阶段组成。第一阶段是基于与常见对照相比对总生存期的影响进行适应性随机筛选的阶段,以确定有效疗法。该阶段还根据临床指征和生物标志物状态确定最有希望的治疗人群。在确定的人群中,高疗效疗法以推理上无缝的方式过渡到第二阶段的确认性阶段。第二阶段使用固定随机化来确认第一阶段的发现,以支持注册。随着时间的推移,试验中可能会增加具有生物标志物的治疗臂,而其他治疗臂则完成测试。GBM AGILE 的设计能够快速测试新疗法和生物标志物的临床应用,将高效疗法快速推向临床实践。

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