Clinical trial designs incorporating predictive biomarkers.

作者: Lindsay A. Renfro , Himel Mallick , Ming-Wen An , Daniel J. Sargent , Sumithra J. Mandrekar

DOI: 10.1016/J.CTRV.2015.12.008

关键词:

摘要: Development of oncologic therapies has traditionally been performed in a sequence clinical trials intended to assess safety (phase I), preliminary efficacy II), and improvement over the standard care III) homogeneous (in terms tumor type disease stage) patient populations. As cancer become increasingly understood on molecular level, newer "targeted" drugs that inhibit specific cell growth survival mechanisms have increased need for new trial designs, wherein pertinent questions relationship between biomarkers response treatment can be answered. Herein, we review design literature from initial more recently proposed designs targeted agents or those treatments hypothesized enhanced effectiveness within subgroups (e.g., with certain biomarker value who harbor genetic mutation). We also describe number real where biomarker-based utilized, including discussion their respective advantages challenges. cancers further categorized and/or reclassified according individual features, anticipate continued novel keep pace changing frontier research.

参考文章(85)
James X. Song, A two-stage patient enrichment adaptive design in phase II oncology trials. Contemporary Clinical Trials. ,vol. 37, pp. 148- 154 ,(2014) , 10.1016/J.CCT.2013.12.001
Sumithra J. Mandrekar, Daniel J. Sargent, Clinical trial designs for predictive biomarker validation: one size does not fit all. Journal of Biopharmaceutical Statistics. ,vol. 19, pp. 530- 542 ,(2009) , 10.1080/10543400902802458
Zhong Gao, Anindya Roy, Ming Tan, Multistage adaptive biomarker-directed targeted design for randomized clinical trials. Contemporary Clinical Trials. ,vol. 42, pp. 119- 131 ,(2015) , 10.1016/J.CCT.2015.03.001
Sue-Jane Wang, Robert T. O'Neill, H. M. James Hung, Approaches to evaluation of treatment effect in randomized clinical trials with genomic subset. Pharmaceutical Statistics. ,vol. 6, pp. 227- 244 ,(2007) , 10.1002/PST.300
William T. Barry, Charles M. Perou, P. Kelly Marcom, Lisa A. Carey, Joseph G. Ibrahim, The Use of Bayesian Hierarchical Models for Adaptive Randomization in Biomarker-Driven Phase II Studies Journal of Biopharmaceutical Statistics. ,vol. 25, pp. 66- 88 ,(2015) , 10.1080/10543406.2014.919933
T. Friede, N. Parsons, N. Stallard, A conditional error function approach for subgroup selection in adaptive clinical trials Statistics in Medicine. ,vol. 31, pp. 4309- 4320 ,(2012) , 10.1002/SIM.5541
Edward L. Korn, Boris Freidlin, Outcome-Adaptive Randomization: Is It Useful? Journal of Clinical Oncology. ,vol. 29, pp. 771- 776 ,(2011) , 10.1200/JCO.2010.31.1423
Mary W. Redman, John J. Crowley, Roy S. Herbst, Fred R. Hirsch, David R. Gandara, Design of a Phase III Clinical Trial with Prospective Biomarker Validation: SWOG S0819 Clinical Cancer Research. ,vol. 18, pp. 4004- 4012 ,(2012) , 10.1158/1078-0432.CCR-12-0167
Jens C Eickhoff, KyungMann Kim, Jason Beach, Jill M Kolesar, Jason R Gee, A Bayesian adaptive design with biomarkers for targeted therapies. Clinical Trials. ,vol. 7, pp. 546- 556 ,(2010) , 10.1177/1740774510372657
Tze Leung Lai, Olivia Yueh-Wen Liao, Dong Woo Kim, Group sequential designs for developing and testing biomarker-guided personalized therapies in comparative effectiveness research. Contemporary Clinical Trials. ,vol. 36, pp. 651- 663 ,(2013) , 10.1016/J.CCT.2013.08.007