Randomized Phase II Designs

被引:87
作者
Rubinstein, Larry [1 ]
Crowley, John [2 ]
Ivy, Percy
Leblanc, Michael [2 ]
Sargent, Dan [3 ]
机构
[1] NCI, NIH, Biometr Res Branch, Bethesda, MD 20892 USA
[2] Fred Hutchinson Canc Res Ctr, Canc Res & Biostat, Seattle, WA 98104 USA
[3] Mayo Clin, Div Biomed Stat & Informat, Rochester, MN USA
关键词
PROGRESSION-FREE SURVIVAL; CLINICAL-TRIAL DESIGNS; END-POINTS; DISCONTINUATION DESIGN; COLORECTAL-CANCER; TUMOR RESPONSE; AGENTS; METAANALYSIS; ONCOLOGY; MELANOMA;
D O I
10.1158/1078-0432.CCR-08-2031
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
As the use of molecularly targeted agents, which are anticipated to increase overall survival (OS)and progression-free survival (PFS) but not necessarily tumor response, has increased in oncology, there has been a corresponding increase in the recommendation and use of randomized phase II designs. Such designs reduce the potential for bias, existent in comparisons with historical controls, but also substantially increase the sample size requirements. We review the principal statistical designs for historically controlled and randomized phase II trials, along with their advantages, disadvantages, and statistical design considerations. We review the arguments for and against the use of randomization in phase II studies, the situations in which the use of historical controls is preferred, and the situations in which the use of randomized designs is preferred. We review methods used to calculate predicted OS or PFS values from historical controls, adjusted so as to be appropriate for an experimental sample with particular prognostic characteristics. We show how adjustment of the type I and type II error bounds for randomized studies can facilitate the detection of appropriate target increases in median PFS or OS with sample sizes appropriate for phase II studies. Although there continue to be differences among investigators concerning the use of randomization versus historical controls in phase II trials, there is agreement that each approach will continue to be appropriate, and the optimal approach will depend upon the circumstances of the individual trial.
引用
收藏
页码:1883 / 1890
页数:8
相关论文
共 39 条
[1]   The relationship between six-month progression-free survival and 12-month overall survival end points for phase II trials in patients with glioblastoma multiforme [J].
Ballman, Karla V. ;
Buckner, Jan C. ;
Brown, Paul D. ;
Giannini, Caterina ;
Flynn, Patrick J. ;
LaPlant, Betsy R. ;
Jaeckle, Kurt A. .
NEURO-ONCOLOGY, 2007, 9 (01) :29-38
[2]   Design and conduct of phase II studies of targeted anticancer therapy: Recommendations from the task force on methodology for the development of innovative cancer therapies (MDICT) [J].
Booth, Christopher M. ;
Calvert, A. Hilary ;
Giaccone, Giuseppe ;
Lobbezoo, Marinus W. ;
Eisenhauer, Elizabeth A. ;
Seymour, Lesley K. .
EUROPEAN JOURNAL OF CANCER, 2008, 44 (01) :25-29
[3]   A CONFIDENCE-INTERVAL FOR THE MEDIAN SURVIVAL-TIME [J].
BROOKMEYER, R ;
CROWLEY, J .
BIOMETRICS, 1982, 38 (01) :29-41
[4]   Evaluation of tumor response, disease control, progression-free survival, and time to progression as potential surrogate end points in metastatic breast cancer [J].
Burzykowski, Tomasz ;
Buyse, Marc ;
Piccart-Gebhart, Martine J. ;
Sledge, George ;
Carmichael, James ;
Lueck, Hans-Joachim ;
Mackey, John R. ;
Nabholtz, Jean-Marc ;
Paridaens, Robert ;
Biganzoli, Laura ;
Jassem, Jacek ;
Bontenbal, Marijke ;
Bonneterre, Jacques ;
Chan, Stephen ;
Basaran, Gul Atalay ;
Therasse, Patrick .
JOURNAL OF CLINICAL ONCOLOGY, 2008, 26 (12) :1987-1992
[5]   Relation between tumour response to first-line chemotherapy and survival in advanced colorectal cancer: a meta-analysis [J].
Buyse, M ;
Thirion, P ;
Carlson, RW ;
Burzykowski, T ;
Molenberghs, G ;
Piedbois, P .
LANCET, 2000, 356 (9227) :373-378
[6]  
Collett D., 1994, Modeling Survival Data in Medical Research
[7]   Alternate Endpoints for Screening Phase II Studies [J].
Dhani, Neesha ;
Tu, Dongsheng ;
Sargent, Daniel J. ;
Seymour, Lesley ;
Moore, Malcolm J. .
CLINICAL CANCER RESEARCH, 2009, 15 (06) :1873-1882
[8]  
El-Maraghi RH, 2008, J CLIN ONCOL, V26, P1346, DOI 10.1200/JCO.2007.13.5913
[9]  
ELLENBERG SS, 1985, CANCER TREAT REP, V69, P1147
[10]   A SIMPLE APPROXIMATION FOR CALCULATING SAMPLE SIZES FOR COMPARING INDEPENDENT PROPORTIONS [J].
FLEISS, JL ;
TYTUN, A ;
URY, HK .
BIOMETRICS, 1980, 36 (02) :343-346