Literature DB >> 19549777

Multiple Histology Phase II Trials.

Michael Leblanc1, Cathryn Rankin, John Crowley.   

Abstract

PURPOSE: Testing agents in cancers with multiple disease subtypes, in which the activity of a new treatment may vary between subtypes, presents statistical and logistical challenges. We propose a flexible phase II strategy which includes both analyses for each histology or stratum and a combined analysis which borrows information from all the patients in the study. Sequential futility analyses are conducted once each subgroup or the overall group reaches a specified minimum accrual. EXPERIMENTAL
DESIGN: Examples based on a soft tissue sarcoma phase II trial, which includes multiple histologies and simulation studies, are used to assess the statistical properties of the proposed strategy.
RESULTS: The combined analyses in one phase II trial lead to smaller expected sample sizes when the drug is broadly inactive, and to greater statistical power if there is modest activity across multiple strata as compared with conducting several smaller phase II studies. In addition, by retaining the stratum-specific tests, the design allows the identification of subgroups for which the agents are most active.
CONCLUSION: To consider phase II testing with multiple biological subtypes, a strategy which combines both the individual subgroup tests and overall combined tests has promising statistical properties. Our results support the appropriate use of statistical borrowing of information in phase II studies in this setting. More broadly, this work fits the paradigm that phase II studies should include as broad a group of patients as scientifically reasonable, but incorporate design considerations for subsets of patients with potentially differing responses to therapy.

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Year:  2009        PMID: 19549777     DOI: 10.1158/1078-0432.CCR-08-2069

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


  7 in total

1.  Integrating subgroups with mixed-type endpoints in early phase oncology trials.

Authors:  Lili Zhao; Carl Koschmann
Journal:  Stat Methods Med Res       Date:  2019-04-04       Impact factor: 3.021

2.  An efficient basket trial design.

Authors:  Kristen M Cunanan; Alexia Iasonos; Ronglai Shen; Colin B Begg; Mithat Gönen
Journal:  Stat Med       Date:  2017-01-18       Impact factor: 2.373

Review 3.  Biomarker-Driven Oncology Clinical Trials: Key Design Elements, Types, Features, and Practical Considerations.

Authors:  Chen Hu; James J Dignam
Journal:  JCO Precis Oncol       Date:  2019-10-24

4.  Biostatistical and Logistical Considerations in the Development of Basket and Umbrella Clinical Trials.

Authors:  Laura M Yee; Lisa M McShane; Boris Freidlin; Margaret M Mooney; Edward L Korn
Journal:  Cancer J       Date:  2019 Jul/Aug       Impact factor: 3.360

Review 5.  Basket Trials in Oncology: A Trade-Off Between Complexity and Efficiency.

Authors:  Kristen M Cunanan; Mithat Gonen; Ronglai Shen; David M Hyman; Gregory J Riely; Colin B Begg; Alexia Iasonos
Journal:  J Clin Oncol       Date:  2016-11-28       Impact factor: 44.544

6.  Comparing the Efficacy of Cancer Therapies between Subgroups in Basket Trials.

Authors:  Adam C Palmer; Deborah Plana; Peter K Sorger
Journal:  Cell Syst       Date:  2020-11-18       Impact factor: 10.304

7.  Master protocol trials in oncology: Review and new trial designs.

Authors:  Akihiro Hirakawa; Junichi Asano; Hiroyuki Sato; Satoshi Teramukai
Journal:  Contemp Clin Trials Commun       Date:  2018-08-24
  7 in total

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