Individualized Screening Trial of Innovative Glioblastoma Therapy (INSIGhT): A Bayesian Adaptive Platform Trial to Develop Precision Medicines for Patients With Glioblastoma

被引:61
作者
Alexander, Brian M. [1 ,3 ]
Trippa, Lorenzo [1 ]
Gaffey, Sarah [1 ]
Arrillaga-Romany, Isabel C. [2 ]
Lee, Eudocia Q. [1 ]
Rinne, Mikael L. [3 ,4 ]
Ahluwalia, Manmeet S. [5 ]
Colman, Howard [6 ]
Fell, Geoffrey [1 ]
Galanis, Evanthia [7 ]
de Groot, John [8 ]
Drappatz, Jan [9 ]
Lassman, Andrew B. [10 ]
Meredith, David M. [1 ,3 ]
Nabors, L. Burt [11 ]
Santagata, Sandro [1 ,3 ]
Schiff, David [12 ]
Welch, Mary R. [10 ]
Ligon, Keith L. [1 ,3 ]
Wen, Patrick Y. [1 ]
机构
[1] Dana Farber Canc Inst, Boston, MA 02115 USA
[2] Massachusetts Gen Hosp, Boston, MA 02114 USA
[3] Brigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA
[4] Novartis Inst Biomed Res, Boston, MA USA
[5] Cleveland Clin, Cleveland, OH 44106 USA
[6] Huntsman Canc Inst, Salt Lake City, UT USA
[7] Mayo Clin, Rochester, MN USA
[8] Univ Texas MD Anderson Canc Ctr, Houston, TX 77030 USA
[9] Univ Pittsburgh, Med Ctr, Pittsburgh, PA USA
[10] Columbia Univ, Med Ctr, New York, NY USA
[11] Univ Alabama Birmingham, Birmingham, AL USA
[12] Univ Virginia Hlth Syst, Charlottesville, VA USA
关键词
PROGRESSION-FREE SURVIVAL; SURROGATE END-POINT; CLINICAL-TRIALS; ADJUVANT TEMOZOLOMIDE; RANDOMIZED-TRIAL; DESIGN; RADIOTHERAPY; TIME; BEVACIZUMAB; CONCOMITANT;
D O I
10.1200/PO.18.00071
中图分类号
R73 [肿瘤学];
学科分类号
100214 [肿瘤学];
摘要
PURPOSE Adequately prioritizing the numerous therapies and biomarkers available in late-stage testing for patients with glioblastoma (GBM) requires an efficient clinical testing platform. We developed and implemented INSIGhT (Individualized Screening Trial of Innovative Glioblastoma Therapy) as a novel adaptive platform trial (APT) to develop precision medicine approaches in GBM. METHODS INSIGhT compares experimental arms with a common control of standard concurrent temozolomide and radiation therapy followed by adjuvant temozolomide. The primary end point is overall survival. Patients with newly diagnosed unmethylated GBM who are IDH R132H mutation negative and with genomic data available for biomarker grouping are eligible. At the initiation of INSIGhT, three experimental arms (neratinib, abemaciclib, and CC-115), each with a proposed genomic biomarker, are tested simultaneously. Initial randomization is equal across arms. As the trial progresses, randomization probabilities adapt on the basis of accumulating results using Bayesian estimation of the biomarker-specific probability of treatment impact on progression-free survival. Treatment arms may drop because of low probability of treatment impact on overall survival, and new arms may be added. Detailed information on the statistical model and randomization algorithm is provided to stimulate discussion on trial design choices more generally and provide an example for other investigators developing APTs. CONCLUSION INSIGhT (NCT02977780) is an ongoing novel biomarker-based, Bayesian APT for patients with newly diagnosed unmethylated GBM. Our goal is to dramatically shorten trial execution timelines while increasing scientific power of results and biomarker discovery using adaptive randomization. We anticipate that trial execution efficiency will also be improved by using the APT format, which allows for the collaborative addition of new experimental arms while retaining the overall trial structure. (C) 2019 by American Society of Clinical Oncology
引用
收藏
页码:1 / 13
页数:13
相关论文
共 45 条
[1]
Platform trials arrive on time for glioblastoma [J].
Alexander, Brian M. ;
Cloughesy, Timothy F. .
NEURO-ONCOLOGY, 2018, 20 (06) :723-725
[2]
Adaptive Global Innovative Learning Environment for Glioblastoma: GBM AGILE [J].
Alexander, Brian M. ;
Ba, Sujuan ;
Berger, Mitchel S. ;
Berry, Donald A. ;
Cavenee, Webster K. ;
Chang, Susan M. ;
Cloughesy, Timothy F. ;
Jiang, Tao ;
Khasraw, Mustafa ;
Li, Wenbin ;
Mittman, Robert ;
Poste, George H. ;
Wen, Patrick Y. ;
Yung, W. K. Alfred ;
Barker, Anna D. .
CLINICAL CANCER RESEARCH, 2018, 24 (04) :737-743
[3]
Adult Glioblastoma [J].
Alexander, Brian M. ;
Cloughesy, Timothy F. .
JOURNAL OF CLINICAL ONCOLOGY, 2017, 35 (21) :2402-+
[4]
Getting it first versus getting it right: weighing the value of and evidence for progression-free survival as a surrogate endpoint for overall survival in glioblastoma [J].
Alexander, Brian M. ;
Trippa, Lorenzo .
NEURO-ONCOLOGY, 2015, 17 (05) :765-766
[5]
Brain Malignancy Steering Committee clinical trials planning workshop: Report from the Targeted Therapies Working Group [J].
Alexander, Brian M. ;
Galanis, Evanthia ;
Yung, W. K. Alfred ;
Ballman, Karla V. ;
Boyett, James M. ;
Cloughesy, Timothy F. ;
Degroot, John F. ;
Huse, Jason T. ;
Mann, Bhupinder ;
Mason, Warren ;
Mellinghoff, Ingo K. ;
Mikkelsen, Tom ;
Mischel, Paul S. ;
O'Neill, Brian P. ;
Prados, Michael D. ;
Sarkaria, Jann N. ;
Tawab-Amiri, Abdul ;
Trippa, Lorenzo ;
Ye, Xiaobu ;
Ligon, Keith L. ;
Berry, Donald A. ;
Wen, Patrick Y. .
NEURO-ONCOLOGY, 2015, 17 (02) :180-188
[6]
Progression-free survival: too much risk, not enough reward? [J].
Alexander, Brian M. ;
Trippa, Lorenzo .
NEURO-ONCOLOGY, 2014, 16 (05) :615-616
[7]
Biomarker-based adaptive trials for patients With glioblastoma-lessons from I-SPY 2 [J].
Alexander, Brian M. ;
Wen, Patrick Y. ;
Trippa, Lorenzo ;
Reardon, David A. ;
Yung, Wai-Kwan Alfred ;
Parmigiani, Giovanni ;
Berry, Donald A. .
NEURO-ONCOLOGY, 2013, 15 (08) :972-978
[8]
I-SPY 2: An Adaptive Breast Cancer Trial Design in the Setting of Neoadjuvant Chemotherapy [J].
Barker, A. D. ;
Sigman, C. C. ;
Kelloff, G. J. ;
Hylton, N. M. ;
Berry, D. A. ;
Esserman, L. J. .
CLINICAL PHARMACOLOGY & THERAPEUTICS, 2009, 86 (01) :97-100
[9]
Adaptive clinical trials in oncology [J].
Berry, Donald A. .
NATURE REVIEWS CLINICAL ONCOLOGY, 2012, 9 (04) :199-207
[10]
The Platform Trial An Efficient Strategy for Evaluating Multiple Treatments [J].
Berry, Scott M. ;
Connor, Jason T. ;
Lewis, Roger J. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2015, 313 (16) :1619-1620