Literature DB >> 22287601

Resampling phase III data to assess phase II trial designs and endpoints.

Manish R Sharma1, Theodore G Karrison, Yuyan Jin, Robert R Bies, Michael L Maitland, Walter M Stadler, Mark J Ratain.   

Abstract

PURPOSE: The best phase II design and endpoint for growth inhibitory agents is controversial. We simulated phase II trials by resampling patients from a positive (sorafenib vs. placebo; TARGET) and a negative (AE941 vs. placebo) phase III trial in metastatic renal cancer to compare the ability of various designs and endpoints to predict the known results. EXPERIMENTAL
DESIGN: A total of 770 and 259 patients from TARGET and the AE 941 trial, respectively, were resampled (5,000 replicates) to simulate phase II trials with α = 0.10 (one-sided). Designs/endpoints: single arm, two-stage with response rate (RR) by Response Evaluation Criteria in Solid Tumors (RECIST; 37 patients); and randomized, two arm (20-35 patients per arm) with RR by RECIST, mean log ratio of tumor sizes (log ratio), progression-free survival (PFS) rate at 90 days (PFS-90), and overall PFS.
RESULTS: Single-arm trials were positive with RR by RECIST in 55% and 1% of replications for sorafenib and AE 941, respectively. Randomized trials versus placebo with 20 patients per arm were positive with RR by RECIST in 55% and 7%, log ratio in 88% and 25%, PFS-90 in 64% and 15%, and overall PFS in 69% and 9% of replications for sorafenib and AE 941, respectively.
CONCLUSIONS: Compared with the single-arm design and the randomized design comparing PFS, the randomized phase II design with the log ratio endpoint has greater power to predict the positive phase III result of sorafenib in renal cancer, but a higher false positive rate for the negative phase III result of AE 941. ©2012 AACR.

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Year:  2012        PMID: 22287601      PMCID: PMC3328614          DOI: 10.1158/1078-0432.CCR-11-1815

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


  25 in total

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2.  Testing the wrong hypothesis in phase II oncology trials: there is a better alternative.

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Journal:  Clin Cancer Res       Date:  2007-02-01       Impact factor: 12.531

3.  Elucidation of relationship between tumor size and survival in non-small-cell lung cancer patients can aid early decision making in clinical drug development.

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4.  Phase II trials in journal of clinical oncology.

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5.  Model-based prediction of phase III overall survival in colorectal cancer on the basis of phase II tumor dynamics.

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6.  Sorafenib in advanced clear-cell renal-cell carcinoma.

Authors:  Bernard Escudier; Tim Eisen; Walter M Stadler; Cezary Szczylik; Stéphane Oudard; Michael Siebels; Sylvie Negrier; Christine Chevreau; Ewa Solska; Apurva A Desai; Frédéric Rolland; Tomasz Demkow; Thomas E Hutson; Martin Gore; Scott Freeman; Brian Schwartz; Minghua Shan; Ronit Simantov; Ronald M Bukowski
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Authors:  Theodore G Karrison; Michael L Maitland; Walter M Stadler; Mark J Ratain
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10.  Prognostic factors of metastatic renal cell carcinoma after failure of immunotherapy: new paradigm from a large phase III trial with shark cartilage extract AE 941.

Authors:  Bernard Escudier; Toni K Choueiri; Stéphane Oudard; Cezary Szczylik; Sylvie Négrier; Alain Ravaud; Christine Chevreau; Peter Venner; Pierre Champagne; Daniel Croteau; Eric Dupont; Claude Hariton; Ronald M Bukowski
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3.  Resampling the N9741 trial to compare tumor dynamic versus conventional end points in randomized phase II trials.

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4.  Thalamic atrophy in multiple sclerosis: A magnetic resonance imaging marker of neurodegeneration throughout disease.

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Review 5.  Leveraging external data in the design and analysis of clinical trials in neuro-oncology.

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6.  The power of phase II end-points for different possible mechanisms of action of an experimental treatment.

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7.  Rational Clinical Experiment: Assessing Prior Probability and Its Impact on the Success of Phase II Clinical Trials.

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8.  Clinical Utility of Metrics Based on Tumor Measurements in Phase II Trials to Predict Overall Survival Outcomes in Phase III Trials by Using Resampling Methods.

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Review 10.  Marine-derived angiogenesis inhibitors for cancer therapy.

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