|
Activity Number:
|
374
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Wednesday, August 9, 2006 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Statistics in Epidemiology
|
| Abstract - #305959 |
|
Title:
|
Statistical Issues in Incorporating and Testing Biomarkers in Clinical Trials
|
|
Author(s):
|
Daniel Sargent*+ and Sumithra Mandrekar
|
|
Companies:
|
Mayo Clinic College of Medicine and Mayo Clinic College of Medicine
|
|
Address:
|
Kahler 1A, Rochester, MN, 55905,
|
|
Keywords:
|
biomarker ; clinical trial ; phase I ; phase II ; phase III
|
|
Abstract:
|
Novel therapies are challenging drug development. Many new therapies have mechanisms of action aimed at specific molecular targets whose efficacy is expected to be limited to patients with a certain biomarker, and/or have a purported biomarker to measure the agent's efficacy. This raises issues in phase I, II, and III clinical trial design. We will present novel designs to identify optimal doses of a single or two-drug combination in Phase I trials utilizing both toxicity and efficacy. Next, we will discuss single-arm or randomized Phase II trials where a biomarker dictates patient selection and/or treatment. Finally, we will discuss confirmatory biomarker-based Phase III trials where the drug's mechanism of action is known and a reliable assay is established. We believe rational use of biomarkers will facilitate drug development and ultimately help deliver individualized therapy.
|