Free Access
Issue
Med Sci (Paris)
Volume 31, Number 8-9, Août–Septembre 2015
Page(s) 797 - 803
Section Forum
DOI https://doi.org/10.1051/medsci/20153108020
Published online 04 September 2015
  1. Collins FS. The langage of life: DNA and the revolution of personalized medicine. New York : Harper Perennial, 2011. [Google Scholar]
  2. Cullis P. The personalized medicine revolution. How diagnosing and treating disease are about to change forever. Vancouver : Greystone Books, 2015. [Google Scholar]
  3. Guchet X. Les promesses de la médecine personnalisée. In: Audétat M, Barazzetti G, Dorthe G, Joseph C, et al., eds. Sciences et technologies émergentes : pourquoi tant de promesses ? Paris : Hermann, 2015 (sous presse). [Google Scholar]
  4. Marino P. Tests diagnostiques et thérapies ciblées en cancérologie. Enjeux économiques. Med Sci (Paris) 2012; 28 (hors série n° 1) : 19–22. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  5. Paci A (sous la direction de). Médecine personnalisée et cancer. Organiser et financer l’accès à l’innovation. Villejuif : Presses de l’Institut Gustave Roussy, 2013. [Google Scholar]
  6. Seror V. Perspective économique sur les traitements ciblés. Med Sci (Paris) 2014; 30 (hors série n° 2) : 32–35. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  7. Fleck LM. Pharmacogenomics and personalized medicine: wicked problems, ragged edges and ethical precipices. New Biotechnol 2012 ; 29 : 757–768. [CrossRef] [Google Scholar]
  8. Feldman EA. The genetic information nondiscrimination act (GINA): public policy and medical practice in the age of personalized medicine. J Gen Intern Med 2011 ; 27 : 743–746. [CrossRef] [Google Scholar]
  9. Weigman K. Racial medicine: here to stay? EMBO Rep 2006 ; 7 : 246–249. [CrossRef] [PubMed] [Google Scholar]
  10. Kahn J. Race in a bottle: the story of BiDil and racialized medicine in a post-genomic age. New York : Columbia University Press, 2013. [Google Scholar]
  11. Chan IS, Ginsburg GS. Personalized medicine: progress and promise. Annu Rev Hum Genet 2011 ; 12 : 217–244. [CrossRef] [Google Scholar]
  12. De Bono JS, Ashworth A. Translating cancer research into targeted therapeutics. Nature 2013 ; 467 : 543–549. [CrossRef] [Google Scholar]
  13. Baker M. Big biology: the ome’s puzzle. Nature 2013 ; 494 : 416–419. [CrossRef] [PubMed] [Google Scholar]
  14. National research council. Toward precision medicine. Building a knowledge. Network for biomedical research and a new taxonomy of disease. Washington : National Academies Press, 2011. [Google Scholar]
  15. Accenture. The pursuit of high performance through research and development. Understanding pharmaceutical research and development cost drivers. Accenture, 2007. Available at: http://www.accenture.com/Microsites/rdtransformation/Documents/PDFs/Accenture_In_Pursuit_of_High_Performance.pdf. [Google Scholar]
  16. Langreth R, Waldholz M. New era of personalized medicine. Targeting drugs for each unique genetic profile. Oncologist 1999 ; 4 : 426–427. [PubMed] [Google Scholar]
  17. Morgan M. News paradigms in industry: the single nucleotide polymorphism consortium. In: Esanu JM, Uhlir PF, eds. The role of scientific and technical data and information in the public domain. Proceedings of a Symposium, chapter 28. Washington : National Academy of Sciences, 2003. [Google Scholar]
  18. Rajan KS Biocapital. The construction of postgenomic life. Duham and London : Duke University Press, 2006. [CrossRef] [Google Scholar]
  19. Food and Drugs Administration. Paving the way for personalized medicine: FDA’s role in a new era of medical product development. FDA, 2013. Available at: http://www.fda.gov/downloads/ScienceResearch/SpecialTopics/PersonalizedMedicine/UCM372421.pdf. [Google Scholar]
  20. Ng PC, Murray SS, Levy S, Venter JC An agenda for personalized medicine. Nature 2009 ; 461 : 724–726. [CrossRef] [PubMed] [Google Scholar]
  21. NIH. Precision medicine initiative. Available at: http://www.nih.gov/precisionmedicine/ [Google Scholar]
  22. Topol EJ. Individualized medicine from prewomb to the tomb. Cell 2014 ; 157 : 241–253. [CrossRef] [PubMed] [Google Scholar]
  23. Gaudillière JP. Inventer la biomédicine. La France, l’Amérique et la production des savoirs du vivant (1945–1965). Paris : La Découverte, 2002. [Google Scholar]
  24. Mamo L, Clarke AE, Fosket JR, et al. (eds). Biomedicalization. Technoscience, health, and illness in the US. Durham : Duke University Press, 2010 : 512 p. [Google Scholar]
  25. Cambrosio A, Keating P. Qu’est-ce que la biomédecine ? Repères socio-historiques. Med Sci (Paris) 2013 ; 12 : 1280–1287. [Google Scholar]
  26. Foucault M. Naissance de la clinique. Une archéologie du regard médical. Paris : PUF, 1963. [Google Scholar]
  27. Chen R, Mias GI, Li-Pook-Than J, et al. Personal omics profiling reveals dynamic molecular and medical phenotypes. Cell 2012 ; 148 : 1293–1307. [CrossRef] [PubMed] [Google Scholar]
  28. Nelson N, Keating P, Cambrosio A. On being actionable: clinical sequencing and the emerging contours of a regime of genomic in medicine in oncology. New Genet Soc 2013 ; 32 : 405–428. [CrossRef] [Google Scholar]
  29. Vogelstein B, Papadopoulos N, Velculescu VE et al. Cancer genome landscapes. Science 2013 ; 339 : 1546–1558. [CrossRef] [PubMed] [Google Scholar]
  30. Arnedos M, Viehl P, Soria JC, André F. The genetic complexity of common cancers and the promise of personalized medicine: is there any hope? J Pathol 2014 ; 232 : 274–282. [CrossRef] [PubMed] [Google Scholar]
  31. Callon M. Les incertitudes scientifiques et techniques constituent-elles une source possible de renouvellement de la vie démocratique ? Papiers de Recherche du CSI. Paris : Centre de Sociologie de l’Innovation, Mines ParisTech, 2012. [Google Scholar]
  32. Majewski IJ, Bernards R. Taming the dragon: genomic biomarkers to individualize the treatment of cancer. Nat Med 2011 ; 17 : 304–312. [CrossRef] [PubMed] [Google Scholar]
  33. Guchet X. La médecine personnalisée. Une approche philosophique. Paris : Hermann, 2015 (sous presse). [Google Scholar]
  34. Tursz T, André F, Lazar V, et al. Implications of personalized medicine-perspective from a cancer center. Nat Rev Clin Oncol 2011 ; 8 : 177–183. [CrossRef] [PubMed] [Google Scholar]
  35. André F, Bachelot T, Commo F, et al. Comparative genomic hybridisation array and DNA sequencing to direct treatment of metastatic breast cancer: a multicentre, prospective trial (SAFIR01/UNICANCER). Lancet Oncol 2014 ; 15 : 267–274. [CrossRef] [PubMed] [Google Scholar]
  36. Redig AJ, Jänne PA. Basket trials and the evolution of clinical trial design in an era of genomic medicine. J Clin Oncol 2015 ; 33 : 975–977. [CrossRef] [PubMed] [Google Scholar]
  37. Bateman S. Médecine personnalisée. Un concept flou, des pratiques diversifiées. Med Sci (Paris) 2014 ; 2 : 8–13. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  38. Institute for Systems Biology. 100K Wellness Project. Available at: http://research.systemsbiology.net/100k/ [Google Scholar]
  39. Hood L, Friend SH. Predictive, personalized, preventive, participatory (P4) cancer medicine. Nat Rev Clin Oncol 2011 ; 8 : 184–187. [CrossRef] [PubMed] [Google Scholar]
  40. Hood L, Flores MA. Personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory. New Biotechnol 2012 ; 29 : 613–622. [CrossRef] [Google Scholar]
  41. Pinell P. Naissance d’un fléau : histoire de la lutte contre le cancer en France (1890–1940). Paris : Métailié, 1992. [Google Scholar]
  42. Sfez L. La santé parfaite. Critique d’une nouvelle utopie. Paris : Seuil, 1995. [Google Scholar]
  43. Rose N. Personalized medicine: promises, problems and perils of a new paradigm for healthcare. Procedia Soc Behav Sci 2013 ; 77 : 341–352. [CrossRef] [Google Scholar]

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