Literature DB >> 28377482

Use of Expansion Cohorts in Phase I Trials and Probability of Success in Phase II for 381 Anticancer Drugs.

Diogo D G Bugano1, Kenneth Hess2, Denis L F Jardim3, Alona Zer4, Funda Meric-Bernstam2, Lillian L Siu4, Albiruni R A Razak4, David S Hong5.   

Abstract

Purpose: Evaluate the association between the use of phase I expansion cohorts (ECs) and drug performance in phase II as well as time to approval by the FDA.Experimental Design: We performed a systematic search of MEDLINE for single-agent dose-finding adult oncology phase I trials published in 2006 to 2011 and subsequent phase II trials. Successful phase II trials were those that met their primary endpoints. Dates of approval were obtained from the Drugs@FDA website in April 2014. A logistic regression model was used to determine the associations between variables and success in phase II.
Results: We identified 533 phase I trials evaluating 381 drugs; 112 drugs had at least one phase I trial with an expansion cohort. Phase I trials with expansion cohorts of two to 20 patients were associated with a higher rate of successful phase II trials than those with no expansion cohort [48% vs. 27%; OR, 2.1; 95% confidence interval (CI), 1.1-4.0; P = 0.037]. Phase II success rates were the same for expansion cohort with two to 20 and more than 20 patients (48% vs. 52%). Other positive associations were disease-specific trials (OR, 1.7; 95% CI, 1.0-2.9; P = 0.037), industry sponsorship (OR, 2.9; 95% CI, 1.5-5.7; P = 0.0024), and response rate of 6% to 20% (OR, 2.89; 95% CI, 1.6-5.2; P = 0.0007). Drugs tested in phase I trials with expansion cohorts had a higher rate of 5-year approval (19% vs. 5%; HR, 4.4; 95% CI, 2.2-8.8; P < 0.001).Conclusions: The use of expansion cohorts in phase I trials was associated with success of subsequent phase II trials. However, confounders may play a role in this association. Clin Cancer Res; 23(15); 4020-6. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28377482      PMCID: PMC5540786          DOI: 10.1158/1078-0432.CCR-16-2354

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


  18 in total

1.  Publication bias is present in blood and marrow transplantation: an analysis of abstracts at an international meeting.

Authors:  Kristjan Paulson; Mahwash Saeed; Jennifer Mills; Geoff D E Cuvelier; Rajat Kumar; Colette Raymond; Tracy Robinson; David Szwajcer; Donna Wall; Matthew D Seftel
Journal:  Blood       Date:  2011-10-28       Impact factor: 22.113

2.  Proposal for size justification of expanded cohort at phase-2-recommended dose.

Authors:  Nicolas Penel; Charles Fournier; Jocelyne Bérille
Journal:  Invest New Drugs       Date:  2010-02-02       Impact factor: 3.850

3.  How to access and process FDA drug approval packages for use in research.

Authors:  Erick H Turner
Journal:  BMJ       Date:  2013-10-14

4.  Trends in the risks and benefits to patients with cancer participating in phase 1 clinical trials.

Authors:  Thomas G Roberts; Bernardo H Goulart; Lee Squitieri; Sarah C Stallings; Elkan F Halpern; Bruce A Chabner; G Scott Gazelle; Stan N Finkelstein; Jeffrey W Clark
Journal:  JAMA       Date:  2004-11-03       Impact factor: 56.272

5.  A statistical evaluation of dose expansion cohorts in phase I clinical trials.

Authors:  Philip S Boonstra; Jincheng Shen; Jeremy M G Taylor; Thomas M Braun; Kent A Griffith; Stephanie Daignault; Gregory P Kalemkerian; Theodore S Lawrence; Matthew J Schipper
Journal:  J Natl Cancer Inst       Date:  2015-02-20       Impact factor: 13.506

6.  Risks and benefits of phase 1 oncology trials, 1991 through 2002.

Authors:  Elizabeth Horstmann; Mary S McCabe; Louise Grochow; Seiichiro Yamamoto; Larry Rubinstein; Troy Budd; Dale Shoemaker; Ezekiel J Emanuel; Christine Grady
Journal:  N Engl J Med       Date:  2005-03-03       Impact factor: 91.245

7.  Predictive value of phase I trials for safety in later trials and final approved dose: analysis of 61 approved cancer drugs.

Authors:  Denis L Jardim; Kenneth R Hess; Patricia Lorusso; Razelle Kurzrock; David S Hong
Journal:  Clin Cancer Res       Date:  2013-11-04       Impact factor: 12.531

8.  Factors associated with publication of randomized phase iii cancer trials in journals with a high impact factor.

Authors:  P A Tang; G R Pond; S Welch; E X Chen
Journal:  Curr Oncol       Date:  2014-08       Impact factor: 3.677

9.  Positive outcomes influence the rate and time to publication, but not the impact factor of publications of clinical trial results.

Authors:  Pilar Suñé; Josep Maria Suñé; J Bruno Montoro
Journal:  PLoS One       Date:  2013-01-30       Impact factor: 3.240

Review 10.  Dose escalation methods in phase I cancer clinical trials.

Authors:  Christophe Le Tourneau; J Jack Lee; Lillian L Siu
Journal:  J Natl Cancer Inst       Date:  2009-05-12       Impact factor: 13.506

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  1 in total

1.  Optimal Sequential Predictive Probability Designs for Early-Phase Oncology Expansion Cohorts.

Authors:  Emily C Zabor; Alexander M Kaizer; Elizabeth Garrett-Mayer; Brian P Hobbs
Journal:  JCO Precis Oncol       Date:  2022-03
  1 in total

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