Advertisement

Personalized Medicine: What’s in it for Rare Diseases?

Chapter
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 1031)

Abstract

Personalised Medicine has become a reality over the last years. The emergence of ‘omics’ and big data has started revolutionizing healthcare. New ‘omics’ technologies lead to a better molecular characterization of diseases and a new understanding of the complexity of diseases. The approach of PM is already successfully applied in different healthcare areas such as oncology, cardiology, nutrition and for rare diseases. However, health systems across the EU are often still promoting the ‘one-size fits all’ approach, even if it is known that patients do greatly vary in their molecular characteristics and response to drugs and other interventions. To make use of the full potentials of PM in the next years ahead several challenges need to be addressed such as the integration of big data, patient empowerment, translation of basic to clinical research, bringing the innovation to the market and shaping sustainable healthcare systems.

Keywords

Personalized medicine Rare disease Health data cooperatives Actionable big data analytics Systematic early dialogue Managed entry agreement 

Notes

Acknowledgment

Part of the research leading to this book chapter has received funding from the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement No. 602139 (CSA PerMed, 2013–2015) and under grant agreement No. 305690 (RARE-Bestpractices, 2013–2016).

References

  1. 1.
    Alyass A, Turcotte M, Meyre D (2015) From big data analysis to personalized medicine for all: challenges and opportunities. BMC Med Genet 8(1):33Google Scholar
  2. 2.
    Auffray C, Balling R, Barroso I, Bencze L, Benson M, Bergeron J, Bernal-Delgado E, Blomberg N, Bock C, Conesa A (2016) Making sense of big data in health research: towards an EU action plan. Genome Med 8(1):1CrossRefGoogle Scholar
  3. 3.
    Bereczki D (2012) Personalized medicine: a competitor or an upgrade of evidence-based medicine? Per Med 9(2):211–221CrossRefGoogle Scholar
  4. 4.
    Boycott KM, Vanstone MR, Bulman DE, MacKenzie AE (2013) Rare-disease genetics in the era of next-generation sequencing: discovery to translation. Nat Rev Genet 14(10):681–691CrossRefPubMedGoogle Scholar
  5. 5.
    Cutica I, Mc Vie G, Pravettoni G (2014) Personalised medicine: the cognitive side of patients. Eur J Intern Med 25(8):685–688CrossRefPubMedGoogle Scholar
  6. 6.
    Directorate-General for Internal Policies – European Parliament (2015) Towards a harmonised EU assessment of the added therapeutic value of medicines. European Parliament, BrusselsGoogle Scholar
  7. 7.
    Estape EA, Mays MH, Sternke EA (2016) Translation in data mining to advance personalized medicine for health equity. Intell Inf Manag 8(01):9PubMedPubMedCentralGoogle Scholar
  8. 8.
    European Alliance for Personalised Medicine (2013) Innovation and patient access to personalised medicine. Report from Irish Presidency Conference BrusselsGoogle Scholar
  9. 9.
    European Alliance for Personalised Medicine (2014) MEP’s Briefing Paper 2014–2019 LegislatureGoogle Scholar
  10. 10.
    European Commission (2016) European networks of reference for rare diseases. http://ec.europa.eu/health/rare_diseases/european_reference_networks/erf_en. Accessed 7 Dec 2016
  11. 11.
    European Commission (2014) The use of big data in public health policy researchGoogle Scholar
  12. 12.
    European Commission (2016) Towards an International Consortium for Personalised Medicine (IC PerMed)Google Scholar
  13. 13.
    European Commission (2012) Biobanks for Europe. A challenge for governance BelgiumGoogle Scholar
  14. 14.
    European Commission (2013) Use of “-omics” technologies in the development of personalised medicine BelgiumGoogle Scholar
  15. 15.
    European Commission (2014) Advice for 2016/2017 of the Horizon 2020 advisory group for societal challenge 1, “Health, Demographic Change and Wellbeing”Google Scholar
  16. 16.
    European Federation of Pharmaceutical Industries and Associations (2014) What are Medicines Adaptive Pathways to Patients (MAPPs)?Google Scholar
  17. 17.
    European Federation of Pharmaceutical Industries and Associations (2010) Patients W.A.I.T. IndicatorGoogle Scholar
  18. 18.
    European Science Foundation (2012) Personalised medicine for the European citizen. Towards more precise medicine for the diagnosis, treatment and prevention of disease (iPM) European Science Foundation, Strasbourg NovemberGoogle Scholar
  19. 19.
    Ferrario A, Kanavos P (2013) Managed entry agreements for pharmaceuticals: the European experience. London school of economics and political science 154Google Scholar
  20. 20.
    Francioso S, Almerighi C, Forte P, Bandiera F, Nosotti L, Lionetti R, Taliani G, Piras MR, Ponti ML, Parruti G (2014) A simple rule to personalize standard dual therapy across all genotypes in naive chronic hepatitis C patients: the TT4 randomized trial. Dig Liver Dis 46(2):164–169CrossRefPubMedGoogle Scholar
  21. 21.
    Gantz J, Reinsel D (2012) The digital universe in 2020: big data, bigger digital shadows, and biggest growth in the far east. IDC iView: IDC Analyze the future 2007:1–16Google Scholar
  22. 22.
    Garfield S (2011) Advancing access to personalized medicine: a comparative assessment of European reimbursement systems. Personalized Medicine Coalition Bridgehead InternationalGoogle Scholar
  23. 23.
    Gomes L (2015) Tech giants bet on biometrics. IEEE Spectr 52(6):52–55CrossRefGoogle Scholar
  24. 24.
    Hafen E, Kossmann D, Brand A (2014) Health data cooperatives–citizen empowerment. Methods Inf Med 53(8)Google Scholar
  25. 25.
    Horgan D, Jansen M, Leyens L, Lal JA, Sudbrak R, Hackenitz E, Bußhoff U, Ballensiefen W, Brand A (2014) An index of barriers for the implementation of personalised medicine and pharmacogenomics in Europe. Public Health Genomics 17(5–6):287–298CrossRefPubMedGoogle Scholar
  26. 26.
    Horgan D, Paradiso A, McVie G, Banks I, Van der Wal T, Brand A, Lawler M (2015) Is precision medicine the route to a healthy world? Lancet 386(9991):336–337CrossRefPubMedGoogle Scholar
  27. 27.
    Ianuale C, Leoncini E, Mazzucco W, Marzuillo C, Villari P, Ricciardi W, Boccia S (2014) Public health genomics education in post-graduate schools of hygiene and preventive medicine: a cross-sectional survey. BMC Med Educ 14(1):213CrossRefPubMedPubMedCentralGoogle Scholar
  28. 28.
    IDC (2016) Big data and analytics is increasingly a game of inches. https://www.idc.com/prodserv/4Pillars/bigdata
  29. 29.
    Intel (2013) Care customization: Appying big data to clinical analytics and life sciencesGoogle Scholar
  30. 30.
    Kanavos P, Vandoros S, Irwin R, Nicod E, Casson M (2011) Differences in costs of and access to pharmaceutical products in the EUGoogle Scholar
  31. 31.
    Kickbusch I, Wait S, Maag D, Banks I (2006) Navigating health. The role of health literacy. Alliance for Health and the Future, International Longevity Centre-UK, LondonGoogle Scholar
  32. 32.
    Lehrach H (2015) Virtual clinical trials, an essential step in increasing the effectiveness of the drug development process. Public Health Genomics 18(6):366–371CrossRefPubMedGoogle Scholar
  33. 33.
    Lehrach H (2012) A revolution in healthcare: challenges and opportunities for personalized medicine. Per Med 9(2):105–108CrossRefGoogle Scholar
  34. 34.
    Leopold C, Vogler S, Habl C, Mantel-Teeuwisse A, Espin J (2013) Personalised medicine as a challenge for public pricing and reimbursement authorities–a survey among 27 European countries on the example of trastuzumab. Health Policy 113(3):313–322CrossRefPubMedGoogle Scholar
  35. 35.
    Leyens L, Brand A (2016) Early patient access to medicines: health technology assessment bodies need to catch up with new marketing authorization methods. Public Health Genomics 19(3):187–191CrossRefPubMedPubMedCentralGoogle Scholar
  36. 36.
    Leyens L, Horgan D, Lal JA, Steinhausen K, Satyamoorthy K, Brand A (2014) Working towards personalization in medicine: main obstacles to reaching this vision from today’s perspective. Per Med 11(7):641–649CrossRefGoogle Scholar
  37. 37.
    Leyens L, Reumann M, Malats N, Brand A (2017) Use of big data for drug development and for public and personal health and care. Genet Epidemiol 41(1):51–60CrossRefPubMedGoogle Scholar
  38. 38.
    Loscalzo J, Kohane I, Barabasi AL (2007) Human disease classification in the postgenomic era: a complex systems approach to human pathobiology. Mol Syst Biol 3(1):124PubMedPubMedCentralGoogle Scholar
  39. 39.
    Martin-Sanchez F, Verspoor K (2014) Big data in medicine is driving big changes. Yearb Med Inform 9(1):14–20CrossRefPubMedPubMedCentralGoogle Scholar
  40. 40.
    McGovern L, Miller G, Hughes-Cromwick P (2014) The relative contribution of multiple determinants to health outcomes. Health Aff (Millwood) (2):1–9. http://healthaffairs.org/healthpolicybriefs/brief_pdfs/healthpolicybrief_123.pdf
  41. 41.
    McGregor C, James A, Eklund M, Sow DM, Ebling M, Blount M (2013) Real-time multidimensional temporal analysis of complex high volume physiological data streams in the neonatal intensive care unit. In: MedInfo, pp 362–366Google Scholar
  42. 42.
    Meyer M (2015) Digitale chancen: next generation healthcare – siemens keynoteGoogle Scholar
  43. 43.
    Negrouk A, Horgan D, Gorini A, Cutica I, Leyens L, Schee genannt Halfmann S, Pravettoni G (2015) Clinical trials, data protection and patient empowerment in the era of the new EU regulations. Public Health Genomics 18(6):386–395CrossRefPubMedGoogle Scholar
  44. 44.
    Ogino S, Fuchs CS, Giovannucci E (2012) How many molecular subtypes? implications of the unique tumor principle in personalized medicine. Expert Rev Med Diagn 12(6):621–628CrossRefGoogle Scholar
  45. 45.
    Palau F (2012) Personalized medicine in rare diseases. Per Med 9(2):137–141CrossRefGoogle Scholar
  46. 46.
    Pavelić K, Martinović T, Pavelić SK (2015) Do we understand the personalized medicine paradigm? EMBO Rep 16(2):133–136CrossRefPubMedGoogle Scholar
  47. 47.
    PerMed (2015) Shaping Europe’s vision for personalised medicine – Strategic Research Innovation Agenda (SRIA)Google Scholar
  48. 48.
    Powers Dirette D (2015) Personalized medicine: definitions, history, and implications for the OT profession. Open JOccup Ther 3(4):1Google Scholar
  49. 49.
    Roden DM (2015) Cardiovascular pharmacogenomics: current status and future directions. J Hum Genet 61(1):79–85CrossRefPubMedPubMedCentralGoogle Scholar
  50. 50.
    Rometty V (2014) The year of the smarter enterprise. The economist, The world inGoogle Scholar
  51. 51.
    Rose J, Rehse O, Röber B (2012) The value of our digital identity. Boston Cons GrGoogle Scholar
  52. 52.
    Sackett DL, Rosenberg WM, Gray JM, Haynes RB, Richardson WS (1996) Evidence based medicine: what it is and what it isn’t. BMJ 312(7023):71–72CrossRefPubMedPubMedCentralGoogle Scholar
  53. 53.
    Schleidgen S, Klingler C, Bertram T, Rogowski WH, Marckmann G (2013) What is personalized medicine: sharpening a vague term based on a systematic literature review. BMC Med Ethics 14(1):55CrossRefPubMedPubMedCentralGoogle Scholar
  54. 54.
    Schork NJ (2015) Personalized medicine: time for one-person trials. Nature 520(7549):609–611CrossRefPubMedGoogle Scholar
  55. 55.
    Snyderman R (2014) Personalized medicine 2014: has healthcare been transformed? Per Med 11(4):365–368CrossRefGoogle Scholar
  56. 56.
    Sørensen K, Pelikan JM, Röthlin F, Ganahl K, Slonska Z, Doyle G, Fullam J, Kondilis B, Agrafiotis D, Uiters E (2015) Health literacy in Europe: comparative results of the European health literacy survey (HLS-EU). Eur J Public Health 25(6):1053–1058CrossRefPubMedPubMedCentralGoogle Scholar
  57. 57.
    Spear BB, Heath-Chiozzi M, Huff J (2001) Clinical application of pharmacogenetics. Trends Mol Med 7(5):201–204CrossRefPubMedGoogle Scholar
  58. 58.
    Taylor D, Al-Saeed E (2010) Can (and will) governments afford personalized medicine? Per Med 7(5):587–595CrossRefGoogle Scholar
  59. 59.
    Turner RM, Pirmohamed M (2014) Cardiovascular pharmacogenomics: expectations and practical benefits. Clin Pharmacol Ther 95(3):281–293CrossRefPubMedGoogle Scholar
  60. 60.
    Zhang J, Chiodini R, Badr A, Zhang G (2011) The impact of next-generation sequencing on genomics. J Genet Genomics 38(3):95–109CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)Maastricht UniversityMaastrichtThe Netherlands
  2. 2.Department of Psyciatry (UPK)University of BaselBaselSwitzerland
  3. 3.SwissmedicBern 9Switzerland
  4. 4.IBM Research–ZurichRueschlikonSwitzerland
  5. 5.Department of International Health, Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands

Personalised recommendations