appropriate validation of predictive biomarkers
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Appropriate validation of (predictive) biomarkers Elise C. Kohn, MD - PowerPoint PPT Presentation

Gynecologic Cancer InterGroup Translational Research Brainstorming October 2016 Lisbon Appropriate validation of (predictive) biomarkers Elise C. Kohn, MD Gynecologic Cancer Therapeutics CTEP/DCTD/NCI-US BEST


  1. Gynecologic Cancer InterGroup Translational Research Brainstorming October 2016 Lisbon Appropriate validation of (predictive) biomarkers Elise C. Kohn, MD Gynecologic Cancer Therapeutics CTEP/DCTD/NCI-US

  2. BEST Definition of Biomarker A defined characteristic that is measured as an indicator of normal biological processes, pathogenic processes, or responses to an exposure or intervention, including therapeutic interventions. Molecular, histologic, radiographic, or physiologic characteristics are types of biomarkers. A biomarker is not an assessment of how an individual feels, functions, or survives. Expand to measurement types beyond biochemical Not specific to therapeutics development Distinguished from clinical outcomes

  3. Different biomarker types • Descriptive or biologic • Surrogate (trial-level) • Pharmacodynamic • Prognostic • Predictive

  4. Application of biomarker • Descriptive or biologic: phase 1/2 • Surrogate: any phase • Pharmacodynamic: preferred phase 1/2 • Prognostic: when there is a need to identify risk/benefit for triage • Predictive: personalization of therapy

  5. Confounders of biomarker development • Descriptive or biologic: quality metrics of sample acquisition, processing, storage, and use • Surrogate: quality metrics of sample acquisition, processing, storage, and use & validity of endpoint against which surrogate is compared • Pharmacodynamic: quality metrics of sample/use • Prognostic: quality metrics of sample/use and associated clinical data, power of observations • Predictive: quality metrics of sample/use and associated clinical data, power of observations, & treatment/outcome interaction

  6. Prognostic and predictive : the most confused of the biomarkers

  7. Prognostic biomarkers : Outcome, biology, change is agnostic to treatment Outcome measure Prognostic Biomarker + Therapy Biomarker - Outcome measure Biomarker + Biomarker - time

  8. Prognostic biomarkers: Outcome, biology, change is agnostic to treatment Outcome measure Prognostic  Therapy Biomarker + Biomarker + Therapy Therapy Therapy Biomarker - Biomarker - Outcome measure Biomarker + Biomarker - time

  9. Predictive biomarker : Selection, Change as a function of treatment Outcome measure Outcome measure Predictive  * Therapy Biomarker + Biomarker + Biomarker - Therapy Biomarker - time time * can also negatively predict

  10. Predictive Biomarker : Definitions and Uses Outcome measure Prognostic  Therapy Biomarker + Therapy Therapy Biomarker - Outcome measure Predictive  Therapy Biomarker + Therapy Biomarker - time

  11. Points for discussion Variables requiring optimization/validation Steps for validation Statistical concerns Use validated biomarkers in trial design How When

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