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Biomarker Assay Development

Conference Proceeding CD Now Available
  • Speaker Presentations
  • Poster Abstracts
  • and More!



Coverage Includes:

  • Analytical and Biological Validation of Biomarkers
  • Multiplex Biomarker Assays
  • Protein Biomarker Assays
  • Circulating Tumor Cells
  • Novel Biomarker Assays for Cancer
  • Immunoassay Development

 

Pre-Conference Short Course*:

Monday, January 25, 2010


Fit-for-Purpose Biomarker Assay Development and Validation

(*Separate registration required)


 

Course Instructors:

John L. Allinson, FIBMS, Vice President, Biomarker Laboratory Services, ICON Development Solutions

Viswanath Devanarayan, Ph.D., Director, Global Exploratory Statistics, Abbott Laboratories

 

This tutorial will provide recommendations on the “fit-for-purpose” best practices in the development and validation of biomarker assays for the intended exploratory or advanced biomarker applications. Strategies for different applications at various phases of biomarker development will be described. Key elements in method development and validation will be illustrated with examples, including reference to standard material, sample stability and collection integrity, validation and QC samples, validity of reference standards, calibration curve fitting methods, method optimization and method feasibility studies. The special challenges in protein biomarker assays will be discussed, including strategies for moving from biomarker panels in the exploratory phase to the few markers chosen to support clinical trials.

Outline:

1. Introduction: Nomenclature, types of biomarker methods/assays, biomarker method development & validation road map, fundamental validity, similarity and differences from PK assays & diagnostic application

2. Pre-analytical and Bioanalytical elements: Target range, standards, validation & QC samples, stability, matrix effect, specificity, and relative selectivity

3. Calibration curve model selection, evaluation, and weighting

4. Method feasibility and optimization with precision profiles

5. Evaluation of some pre-study validation characteristics such as precision, bias, sensitivity and quantification limits

6. Use of sample controls for in-study performance monitoring and conformance testing among laboratories


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