Adaptive Global Innovative Learning Environment for Glioblastoma: GBM AGILE

被引:156
作者
Alexander, Brian M. [1 ]
Ba, Sujuan [2 ]
Berger, Mitchel S. [3 ]
Berry, Donald A. [4 ,5 ]
Cavenee, Webster K. [6 ]
Chang, Susan M. [3 ]
Cloughesy, Timothy F. [7 ]
Jiang, Tao [8 ]
Khasraw, Mustafa [9 ]
Li, Wenbin [10 ]
Mittman, Robert [11 ,12 ]
Poste, George H. [12 ,13 ]
Wen, Patrick Y. [1 ]
Yung, W. K. Alfred [14 ]
Barker, Anna D. [12 ,13 ,15 ]
机构
[1] Harvard Med Sch, Dana Farber Canc Inst, Ctr Neurooncol, Boston, MA USA
[2] Natl Fdn Canc Res, Bethesda, MD USA
[3] Univ Calif San Francisco, Dept Neurol Surg, San Francisco, CA USA
[4] Univ Texas MD Anderson Canc Ctr, Dept Biostat, Houston, TX 77030 USA
[5] Berry Consultants, Austin, TX USA
[6] Univ Calif San Diego, Ludwig Inst Canc Res, La Jolla, CA 92093 USA
[7] Univ Calif Los Angeles, Neurooncol Program, Los Angeles, CA USA
[8] Capital Med Univ, Dept Clin Oncol, Beijing, Peoples R China
[9] Univ Sydney, Sch Med, NHMRC Clin Trials Ctr, Sydney, NSW, Australia
[10] Capital Med Univ, Beijing Shijitan Hosp, Glioma Dept, Beijing, Peoples R China
[11] Arizona State Univ, Ira A Fulton Sch Engn, Sch Comp Informat & Decis Syst Engn, Sch Biol & Hlth Syst Engn, Tempe, AZ USA
[12] Arizona State Univ, Natl Biomarker Dev Alliance, Tempe, AZ USA
[13] Arizona State Univ, Complex Adapt Syst Initiat, Tempe, AZ USA
[14] Univ Texas MD Anderson Canc Ctr, Dept Neurooncol, Houston, TX 77030 USA
[15] Arizona State Univ, Sch Life Sci, Tempe, AZ USA
关键词
CENTRAL-NERVOUS-SYSTEM; CLINICAL-TRIALS; CANCER; BRAIN; RANDOMIZATION; DESIGN; TUMORS; WORLD;
D O I
10.1158/1078-0432.CCR-17-0764
中图分类号
R73 [肿瘤学];
学科分类号
100214 [肿瘤学];
摘要
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 GBMAdaptive 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. (C) 2017 AACR.
引用
收藏
页码:737 / 743
页数:7
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