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EMEA/EFPIA WORKSHOP ON BIOMARKERS CARDIOVASCULAR BIOMARKERS A - PowerPoint PPT Presentation

EMEA/EFPIA WORKSHOP ON BIOMARKERS CARDIOVASCULAR BIOMARKERS A regulatory perspective Gonzalo Calvo Spanish Agency on Medicines and Healthcare products Biomarker A characteristic that is objectively measured and evaluated as an indicator of


  1. EMEA/EFPIA WORKSHOP ON BIOMARKERS CARDIOVASCULAR BIOMARKERS A regulatory perspective Gonzalo Calvo Spanish Agency on Medicines and Healthcare products

  2. Biomarker A characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention”

  3. Biomarkers for: • Drug development: � Drug activity in non-clinical and early clinical studies � Proof of concept � Dose-response relationship � Efficacy � Toxicity � Identification of target populations

  4. Developing reliable biomarkers • Optimising drug-development • Decrease late attrition rate • Save costs

  5. SURROGATES The biomarker is intended to be substitute for a clinically meaningful endpoint • Biological plausibility • Epidemiological data • Quali-quantitative relationship • How much of the treatment effect on the outcome could be considered as explained by the intended surrogate variable?

  6. Attractiveness of surrogate endpoints • Intellectually attractive • Pathophysiologic orientation • Shorter development • Minimisation of unnecessary drug exposure • Cost saving

  7. Biomarkers in CV disease • Laboratory markers (e.g. LDL-col) • Physiological parameters (e.g. BP) • Imaging biomarkers (e.g. IVUS) Many drugs for the treatment and/or prevention of CV diseases can currently be approved based on their effect on biomarkers and/or symptoms

  8. Potential surrogates in CV disease • Soluble biomarkers: • Less intuitive • Ease • Cheap • Imaging biomarkers: • More intuitive • Invasive (some) • Availability and standardisation • Costly

  9. Problems with surrogates in CV disease (Atherosclerosis) Multifactorial disease How much of the expected treatment effect could be considered as accounted for by the intended surrogate variable?

  10. Problems with surrogates in CV disease (Atherosclerosis) Heterogeneous population To what extent the surrogate value of a particular variable is applicable to populations with different risk profile/level

  11. Problems with surrogates in CV disease (Atherosclerosis) Polytherapy To what extent the observed effect is explained by the background therapy and what is the interaction with the new treatment?

  12. Problems with surrogates in CV disease (Atherosclerosis) Extrapolability to other drugs To what extent the surrogate allows to make reliable comparative benefit/risk assessments with other drugs: • With the same mechanism of action • With a different mechanism of action

  13. Problems with surrogates in CV disease (Atherosclerosis) Historical failures Should they play a role?!

  14. Personal reflections as concluding remarks • Biomarkers are useful far beyond its validity as surrogates • In CV disease seeking a single biomarker as a measurement of the treatment effect is unlikely to be a successful strategy • Clustering of biomarkers building up predictive models are thought to be a more sensitive approach • A collaborative initiative may prove extremely useful for a happy end

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