Randomized Phase II Trials: A Long-term Investment With Promising Returns
Given the multitude of novel anticancer drugs and the limited resources available to study them, phase II trials should identify drugs with the highest probability of succeeding in subsequent phase III trials. Currently, single-arm phase II trial results are interpreted relative to historical contro...
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Published in | JNCI : Journal of the National Cancer Institute Vol. 103; no. 14; pp. 1093 - 1100 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Cary, NC
Oxford University Press
20.07.2011
Oxford Publishing Limited (England) |
Subjects | |
Online Access | Get full text |
ISSN | 0027-8874 1460-2105 1460-2105 |
DOI | 10.1093/jnci/djr218 |
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Abstract | Given the multitude of novel anticancer drugs and the limited resources available to study them, phase II trials should identify drugs with the highest probability of succeeding in subsequent phase III trials. Currently, single-arm phase II trial results are interpreted relative to historical control subjects, introducing selection bias and confounding that may limit the validity of the conclusions. The rate of success (defined as a statistically significant difference between arms) in phase III oncology trials is only 40%, suggesting that current phase II trials are insufficiently informative. However, simulation studies suggest that randomized phase II trials would have lower error rates and greater predictive power for phase III results. Randomized phase II trials may also be more informative than single-arm phase II trials because of the hypotheses being tested, the variety of possible endpoints, and the opportunities for biomarker discovery. There are a wide variety of randomized phase II designs that can be used, including the randomized discontinuation design, the delayed-start design, adaptive (Bayesian) designs, selection designs, and phase II/III designs. The barriers to widespread adoption of randomized phase II trials include time to completion, sample size considerations, and ethical concerns, but none are insurmountable. We conclude that randomized phase II trials are a worthy investment considering finite patient and financial resources and should be the rule rather than the exception for evaluating novel therapies in oncology. |
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AbstractList | Given the multitude of novel anticancer drugs and the limited resources available to study them, phase II trials should identify drugs with the highest probability of succeeding in subsequent phase III trials. Currently, single-arm phase II trial results are interpreted relative to historical control subjects, introducing selection bias and confounding that may limit the validity of the conclusions. The rate of success (defined as a statistically significant difference between arms) in phase III oncology trials is only 40%, suggesting that current phase II trials are insufficiently informative. However, simulation studies suggest that randomized phase II trials would have lower error rates and greater predictive power for phase III results. Randomized phase II trials may also be more informative than single-arm phase II trials because of the hypotheses being tested, the variety of possible endpoints, and the opportunities for biomarker discovery. There are a wide variety of randomized phase II designs that can be used, including the randomized discontinuation design, the delayed-start design, adaptive (Bayesian) designs, selection designs, and phase II/III designs. The barriers to widespread adoption of randomized phase II trials include time to completion, sample size considerations, and ethical concerns, but none are insurmountable. We conclude that randomized phase II trials are a worthy investment considering finite patient and financial resources and should be the rule rather than the exception for evaluating novel therapies in oncology.Given the multitude of novel anticancer drugs and the limited resources available to study them, phase II trials should identify drugs with the highest probability of succeeding in subsequent phase III trials. Currently, single-arm phase II trial results are interpreted relative to historical control subjects, introducing selection bias and confounding that may limit the validity of the conclusions. The rate of success (defined as a statistically significant difference between arms) in phase III oncology trials is only 40%, suggesting that current phase II trials are insufficiently informative. However, simulation studies suggest that randomized phase II trials would have lower error rates and greater predictive power for phase III results. Randomized phase II trials may also be more informative than single-arm phase II trials because of the hypotheses being tested, the variety of possible endpoints, and the opportunities for biomarker discovery. There are a wide variety of randomized phase II designs that can be used, including the randomized discontinuation design, the delayed-start design, adaptive (Bayesian) designs, selection designs, and phase II/III designs. The barriers to widespread adoption of randomized phase II trials include time to completion, sample size considerations, and ethical concerns, but none are insurmountable. We conclude that randomized phase II trials are a worthy investment considering finite patient and financial resources and should be the rule rather than the exception for evaluating novel therapies in oncology. Given the multitude of novel anticancer drugs and the limited resources available to study them, phase II trials should identify drugs with the highest probability of succeeding in subsequent phase III trials. Currently, single-arm phase II trial results are interpreted relative to historical control subjects, introducing selection bias and confounding that may limit the validity of the conclusions. The rate of success (defined as a statistically significant difference between arms) in phase III oncology trials is only 40%, suggesting that current phase II trials are insufficiently informative. However, simulation studies suggest that randomized phase II trials would have lower error rates and greater predictive power for phase III results. Randomized phase II trials may also be more informative than single-arm phase II trials because of the hypotheses being tested, the variety of possible endpoints, and the opportunities for biomarker discovery. There are a wide variety of randomized phase II designs that can be used, including the randomized discontinuation design, the delayed-start design, adaptive (Bayesian) designs, selection designs, and phase II/III designs. The barriers to widespread adoption of randomized phase II trials include time to completion, sample size considerations, and ethical concerns, but none are insurmountable. We conclude that randomized phase II trials are a worthy investment considering finite patient and financial resources and should be the rule rather than the exception for evaluating novel therapies in oncology. Given the multitude of novel anticancer drugs and the limited resources available to study them, phase Il trials should identify drugs with the highest probability of succeeding in subsequent phase Ill trials. Currently, single-arm phase II trial results are interpreted relative to historical control subjects, introducing selection bias and confounding that may limit the validity of the conclusions. The rate of success (defined as a statistically significant difference between arms) in phase Ill oncology trials is only 40%, suggesting that current phase II trials are insufficiently informative. However, simulation studies suggest that randomized phase II trials would have lower error rates and greater predictive power for phase Ill results. Randomized phase II trials may also be more informative than single-arm phase II trials because of the hypotheses being tested, the variety of possible end-points, and the opportunities for biomarker discovery. There are a wide variety of randomized phase II designs that can be used, including the randomized discontinuation design, the delayed-start design, adaptive (Bayesian) designs, selection designs, and phase Il/Ill designs. The barriers to widespread adoption of randomized phase II trials include time to completion, sample size considerations, and ethical concerns, but none are insurmountable. We conclude that randomized phase II trials are a worthy investment considering finite patient and financial resources and should be the rule rather than the exception for evaluating novel therapies in oncology. [PUBLICATION ABSTRACT] |
Author | Ratain, Mark J. Stadler, Walter M. Sharma, Manish R. |
AuthorAffiliation | Affiliations of authors: Department of Medicine (MRS, WMS, MJR), Cancer Research Center (WMS, MJR), and Committee on Clinical Pharmacology and Pharmacogenomics (MRS, MJR), University of Chicago, Chicago, IL |
AuthorAffiliation_xml | – name: Affiliations of authors: Department of Medicine (MRS, WMS, MJR), Cancer Research Center (WMS, MJR), and Committee on Clinical Pharmacology and Pharmacogenomics (MRS, MJR), University of Chicago, Chicago, IL |
Author_xml | – sequence: 1 givenname: Manish R. surname: Sharma fullname: Sharma, Manish R. – sequence: 2 givenname: Walter M. surname: Stadler fullname: Stadler, Walter M. – sequence: 3 givenname: Mark J. surname: Ratain fullname: Ratain, Mark J. email: mratain@medicine.bsd.uchicago.edu |
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Snippet | Given the multitude of novel anticancer drugs and the limited resources available to study them, phase II trials should identify drugs with the highest... Given the multitude of novel anticancer drugs and the limited resources available to study them, phase Il trials should identify drugs with the highest... |
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SubjectTerms | Antineoplastic Agents - therapeutic use Biological and medical sciences Chemotherapy, Adjuvant Clinical trials Clinical Trials, Phase II as Topic - methods Clinical Trials, Phase II as Topic - standards Clinical Trials, Phase III as Topic Confounding Factors (Epidemiology) Drugs Endpoint Determination Evidence-Based Medicine Health Resources - utilization Humans Life Expectancy Medical sciences Molecular Targeted Therapy - methods Molecular Targeted Therapy - standards Molecular Targeted Therapy - trends Multiple tumors. Solid tumors. Tumors in childhood (general aspects) Oncology Patient Selection Patients R&D Randomized Controlled Trials as Topic - methods Randomized Controlled Trials as Topic - statistics & numerical data Reproducibility of Results Research & development Research Design - standards Research Design - trends Review Sample Size Selection Bias Time Factors Treatment Failure Tumors |
Title | Randomized Phase II Trials: A Long-term Investment With Promising Returns |
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