Literature DB >> 22046024

Adaptive clinical trial designs for simultaneous testing of matched diagnostics and therapeutics.

Howard I Scher1, Shelley Fuld Nasso, Eric H Rubin, Richard Simon.   

Abstract

A critical challenge in the development of new molecularly targeted anticancer drugs is the identification of predictive biomarkers and the concurrent development of diagnostics for these biomarkers. Developing matched diagnostics and therapeutics will require new clinical trial designs and methods of data analysis. The use of adaptive design in phase III trials may offer new opportunities for matched diagnosis and treatment because the size of the trial can allow for subpopulation analysis. We present an adaptive phase III trial design that can identify a suitable target population during the early course of the trial, enabling the efficacy of an experimental therapeutic to be evaluated within the target population as a later part of the same trial. The use of such an adaptive approach to clinical trial design has the potential to greatly improve the field of oncology and facilitate the development of personalized medicine. ©2011 AACR

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Year:  2011        PMID: 22046024      PMCID: PMC3853353          DOI: 10.1158/1078-0432.CCR-11-1105

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  27 in total

1.  Gene expression analysis of human prostate carcinoma during hormonal therapy identifies androgen-responsive genes and mechanisms of therapy resistance.

Authors:  Jeff Holzbeierlein; Priti Lal; Eva LaTulippe; Alex Smith; Jaya Satagopan; Liying Zhang; Charles Ryan; Steve Smith; Howard Scher; Peter Scardino; Victor Reuter; William L Gerald
Journal:  Am J Pathol       Date:  2004-01       Impact factor: 4.307

2.  Adaptive signature design: an adaptive clinical trial design for generating and prospectively testing a gene expression signature for sensitive patients.

Authors:  Boris Freidlin; Richard Simon
Journal:  Clin Cancer Res       Date:  2005-11-01       Impact factor: 12.531

3.  Sample size planning for developing classifiers using high-dimensional DNA microarray data.

Authors:  Kevin K Dobbin; Richard M Simon
Journal:  Biostatistics       Date:  2006-04-13       Impact factor: 5.899

4.  Biomarker-adaptive threshold design: a procedure for evaluating treatment with possible biomarker-defined subset effect.

Authors:  Wenyu Jiang; Boris Freidlin; Richard Simon
Journal:  J Natl Cancer Inst       Date:  2007-06-27       Impact factor: 13.506

5.  The BATTLE trial: a bold step toward improving the efficiency of biomarker-based drug development.

Authors:  Eric H Rubin; Keaven M Anderson; Christine K Gause
Journal:  Cancer Discov       Date:  2011-06-01       Impact factor: 39.397

Review 6.  The use of genomics in clinical trial design.

Authors:  Richard Simon
Journal:  Clin Cancer Res       Date:  2008-10-01       Impact factor: 12.531

Review 7.  Biology of progressive, castration-resistant prostate cancer: directed therapies targeting the androgen-receptor signaling axis.

Authors:  Howard I Scher; Charles L Sawyers
Journal:  J Clin Oncol       Date:  2005-11-10       Impact factor: 44.544

8.  Development of a second-generation antiandrogen for treatment of advanced prostate cancer.

Authors:  Chris Tran; Samedy Ouk; Nicola J Clegg; Yu Chen; Philip A Watson; Vivek Arora; John Wongvipat; Peter M Smith-Jones; Dongwon Yoo; Andrew Kwon; Teresa Wasielewska; Derek Welsbie; Charlie Degui Chen; Celestia S Higano; Tomasz M Beer; David T Hung; Howard I Scher; Michael E Jung; Charles L Sawyers
Journal:  Science       Date:  2009-04-09       Impact factor: 47.728

9.  Increased expression of genes converting adrenal androgens to testosterone in androgen-independent prostate cancer.

Authors:  Michael Stanbrough; Glenn J Bubley; Kenneth Ross; Todd R Golub; Mark A Rubin; Trevor M Penning; Phillip G Febbo; Steven P Balk
Journal:  Cancer Res       Date:  2006-03-01       Impact factor: 12.701

10.  Approaches to evaluation of treatment effect in randomized clinical trials with genomic subset.

Authors:  Sue-Jane Wang; Robert T O'Neill; H M James Hung
Journal:  Pharm Stat       Date:  2007 Jul-Sep       Impact factor: 1.894

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  17 in total

1.  Run-in phase III trial design with pharmacodynamics predictive biomarkers.

Authors:  Fangxin Hong; Richard Simon
Journal:  J Natl Cancer Inst       Date:  2013-10-04       Impact factor: 13.506

2.  Comment.

Authors:  A Ivanova; K M Anderson; Gary L Rosner; E Rubin
Journal:  Stat Biopharm Res       Date:  2015-12-17       Impact factor: 1.452

3.  Adaptive enrichment designs for clinical trials.

Authors:  Noah Simon; Richard Simon
Journal:  Biostatistics       Date:  2013-03-21       Impact factor: 5.899

Review 4.  Drug development and clinical trials--the path to an approved cancer drug.

Authors:  Eric H Rubin; D Gary Gilliland
Journal:  Nat Rev Clin Oncol       Date:  2012-02-28       Impact factor: 66.675

5.  Advancing Clinical Trials to Streamline Drug Development.

Authors:  Susan E Bates; Donald A Berry; Sanjeeve Balasubramaniam; Stuart Bailey; Patricia M LoRusso; Eric H Rubin
Journal:  Clin Cancer Res       Date:  2015-10-15       Impact factor: 12.531

Review 6.  Rapid learning for precision oncology.

Authors:  Jeff Shrager; Jay M Tenenbaum
Journal:  Nat Rev Clin Oncol       Date:  2014-01-21       Impact factor: 66.675

Review 7.  Considerations for the successful co-development of targeted cancer therapies and companion diagnostics.

Authors:  Jane Fridlyand; Richard M Simon; Jessica C Walrath; Nancy Roach; Richard Buller; David P Schenkein; Keith T Flaherty; Jeff D Allen; Ellen V Sigal; Howard I Scher
Journal:  Nat Rev Drug Discov       Date:  2013-09-06       Impact factor: 84.694

8.  Novel two-step derivation method for the synchronous analysis of inherited metabolic disorders using urine.

Authors:  Xiao-Qi Sheng; Yi-Chao Wang
Journal:  Exp Ther Med       Date:  2017-03-02       Impact factor: 2.447

9.  Stratification and partial ascertainment of biomarker value in biomarker-driven clinical trials.

Authors:  Richard Simon
Journal:  J Biopharm Stat       Date:  2014       Impact factor: 1.051

10.  Bayesian Two-stage Biomarker-based Adaptive Design for Targeted Therapy Development.

Authors:  Xuemin Gu; Nan Chen; Caimiao Wei; Suyu Liu; Vassiliki A Papadimitrakopoulou; Roy S Herbst; J Jack Lee
Journal:  Stat Biosci       Date:  2014-12-04
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