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Patients Organisations Working Party Why biomarkers in clinical drug development and use Marisa Papaluca, MD Senior Science Advisor Scientific Committees Regulatory Science Strategy Marisa Papaluca, MD P C WP meeting 30 November 2016


  1. Patients Organisations Working Party Why biomarkers in clinical drug development and use Marisa Papaluca, MD Senior Science Advisor Scientific Committees Regulatory Science Strategy Marisa Papaluca, MD – P C WP meeting – 30 November 2016 An agency of the European Union

  2. Outline  Why biomarkers  Biomarkers and medicines development  Biomarkers in clinical use  The future with biomarkers Marisa Papaluca, MD – P C WP meeting – 30 November 2016 1

  3. W hy biom arkers? Individual’s response to medicines is variable and complex  I ntrinsic factors (e.g. age, health status, genetics)  Extrinsic factors (such as diet, the use of concomitant drugs, exposure to sunshine etc.)  I nterplay of factors 1 , 2 + characteristics of the m edicine Marisa Papaluca, MD – P C WP meeting – 30 November 2016

  4. W hy Biom arkers A growing variety of BMs, most often panels of them, measured with modern technologies allowing all of us • to augment precision in the judgment necessary for selecting the medicine and course of action appropriate for each person • to better understand health, risk factors and mechanisms of diseases 3 Marisa Papaluca, MD – P C WP meeting – 30 November 2016

  5. W hy Biom arkers Biom arkers ( BM) augm ent understanding and precision for m edicines developm ent and use  Individual’s susceptibility to disease, clinical onset and progression  Individual’s susceptibility to Adverse Drugs Reactions (influenced by genes* )  Individual’s mechanisms for drug’s A bsorption, D istribution, M etabolism (transformation) and E limination in the body ( ADME – P harmaco K inetic - PK) (influenced by genes* ).  Individual’s disease characteristics and medicines’ mode of action : Medicines bind / interact with various components in the body called targets and from this interaction pathways are activated: this is about the Mechanism of Action of the medicine and its P harmaco D ynamics (PD influenced by genes* ) * Genes influence depends on a number of characteristics and include : penetrance, alleles status, epigenetic (including influence of other drugs/ environment) … Marisa Papaluca, MD – P C WP meeting – 30 November 2016 4

  6. Outline  About biomarkers  Biomarkers and medicines development  Biomarkers in clinical use  The future with biomarkers Marisa Papaluca, MD – P C WP meeting – 30 November 2016 5

  7. BMs and drug response: ADME • 3 0 – 5 0 % of all clinically used drugs are metabolised by functionally polymorphic enzymes (phase I and phase II) • plasma levels of some drugs at the same dosage can vary 5 -2 0 -fold among individuals by e.g. excessive prodrug activation  Guidelines on genom ics BM in drug developm ent ( phase I -I I I ) 6

  8. BM sam pling and testing : global requirem ents • I CH E1 8 : Genom ic sam pling and m anagem ent of genom ic data in clinical trials and other studies Nature Review s Drug Discovery 1 2 , 1 0 3 -1 1 5 ( February 2 0 1 3 ) | doi:1 0 .1 0 3 8/ nrd3 931 7 Opinion: Pharm acogenetics in the evaluation of new drugs: a m ultiregional regulatory perspective

  9. BM and clinical trials Marisa Papaluca, MD – P C WP meeting – 30 November 2016 8

  10. Biom arkers: m ore to com e SCRIP 11 May 2015 9

  11. Outline  About biomarkers  Biomarkers and medicines development  Biomarkers in clinical use  The future with biomarkers Marisa Papaluca, MD – P C WP meeting – 30 November 2016 10

  12. BM driven m edicines on the increase Figure 2 : Num ber of m edicinal products and ratio of m edicinal products containing a genom ic biom arker ( gene) in their product label under “Therapeutic I ndication” per year. The num ber of pharm acogenom ic biom arker in EU product label have been steady betw een 1 9 9 9 and 2 0 1 0 and since then gradually increasing in recent years. I nitially, they have been intended for inform ation only, progressing into becom ing one of the im portant determ inant for selection of patients likely to benefit from treatm ent and “m ore” individualised dose selection. Biom arker inform ation m ay also be included in the labelling in case of negative selection ( i.e., if the biom arker is used to select a population unlikely to respond) or in case of uncertainty about the value of the biom arker but w here a negative selection is suspected, e.g. vandetanib. Pharmacogenomic information in drug labels: European Medicines Agency perspective Marisa Papaluca, MD – P C WP meeting – 30 November 2016 11 The Pharmacogenomics Journal (2015), 1 – 10

  13. BM driven m edicines in clinical use Cystic Fibrosis with G551D - CFTR mutation Marisa Papaluca, MD – P C WP meeting – 30 November 2016 12

  14. BM driven m edicines in clinical use BBC news Health Cystic fibrosis drug offers hope to patients By James Gallagher Health editor, BBC News website 17 May 2015 From the section Health Marisa Papaluca, MD – P C WP meeting – 30 November 2016 13

  15. BMs in clinical use: pharm acovigilance • The occurrence of rare but serious ADRs or lack of efficacy/ effectiveness have often been identified late in drug development phase or long after drug approval • Lim ited inform ation available on the utilisation of a genom ic biom arker during follow up ( post m arketing ) or on the effect of labelling with genomic information. • Guidelines have been adopted for the evaluation of genom ic influences during Pharm acovigilance activities in order to inform and improve clinical use of specific treatments. Collection and storage of genom ic m aterial ( e.g. DNA or other) – during clinical trials and – up on the occurrence of serious ADRs, lack of effectiveness post authorisation or unexpected worsening of the condition Marisa Papaluca, MD – P C WP meeting – 30 November 2016

  16. BMs in clinical use: pharm acovigilance Marisa Papaluca, MD – P C WP meeting – 30 November 2016

  17. Outline  About biomarkers  Biomarkers and medicines development  Biomarkers in clinical use  The future with biomarkers Marisa Papaluca, MD – P C WP meeting – 30 November 2016 16

  18. Biom arkers potential Track progression Predict events Decision Predict Assess risk Refine I nform support diagnose assessm ent Therapeutics tools: Typical Baseline Initiating Earliest Earliest clinical current risk events molecular Disease burden intervention detection detection Drug Time Preclinical Disease initiation and progression Baseline risk progression Sources of Therapeutic decision support Dynam ic genom ics: Stable genom ics: new Gene expression Single nucleotide biom arkers: Proteom ics Polym orphism s Metabolom ics Haplotype m apping Molecular im aging Gene sequencing Source: “Personalized Medicine: Current and Future Perspectives,” Patricia Deverka, MD, Duke University, Institute for Genome Sciences and Policy; and Rick J. Carlson, JD, University of Marisa Papaluca, MD – P C WP meeting – 30 November 2016 Washington 17

  19. Take aw ay m essages • Biomarkers are measured with modern technologies (e.g. genomics, digital tools): useful to better develop medicines and personalise care adding precision to the clinical judgment about which medicines an individual may either benefit from and how (e.g. dose) or should avoid • BM are measurements that may be requested by the regulatory authorities or proposed by sponsors for medicines in clinical development and use • The potential of data generated on biomarkers is well beyond the medicines themselves: personalised, participatory, preventive, predictive and patient centred health care • The BM samples and data: • contributions from patients groups with discussion and participation in shaping the informed consent principles a key document with statements on the reason for taking samples/ measurements, the planned and future use of the samples and data, the measure for data privacy protection, the description of interactions and communication on both expected and unexpected findings • Yourself : Have your interpreted results with you for the future (https: / / www.pharmgkb.org/ ): clinically relevant • Yourself : Know in which biobank/ database your “sample” is and for how long : help the system to evolve risa Papaluca, MD – P C WP meeting – 30 November 2016 Ma 18

  20. Thanks for your attention and questions Further information SciRS@ema.europa.eu European Medicines Agency 30 Churchill Place • Canary Wharf • London E14 5EU • United Kingdom Telephone + 44 (0)20 3660 6000 Facsim ile + 44 (0)20 3660 5555 Send a question via our w ebsite www.ema.europa.eu/ contact Follow us on @EMA_ New s

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