Personalised Medicine
References 1 Fryburg, DA. Do technical and commercial biases contribute to the pharmaceutical industry’s productivity problems? An analysis of how reordering priorities can impact productivity. Drug Discov Today. 2010 Jun 25. 2 David, E, Tramontin, T, Zemmel, R. Pharmaceutical R&D: the road to positive returns. Nat Rev Drug Discov. 2009 Aug;8(8):609-10. 3 Paul, SM, Mytelka, DS, Dunwiddie, CT, Persinger, CC, Munos, BH, Lindborg, SR et al. How to improve R&D productivity: the pharmaceutical industry’s grand challenge. Nat Rev Drug Discov. 2010 Mar;9(3):203-14. 4 Malik, NN. Drug discovery: past, present and future. Drug Discov Today. 2008 Nov;13(21- 22):909-12. 5 Arrowsmith, J. Trial watch: Phase II failures: 2008-2010. Nat Rev Drug Discov. 2011 May;10(5):328-9. 6 Gustavson, SM, Dai, H, Preston, GM, Somayaji, V, Hirshberg, B, Calle, RA. Effects of multiple doses of the DPP-IV inhibitor PF-734200 on the relationship between GLP-1 and glucose in subjects with type 2 diabetes mellitus. Diabetes Res Clin Pract. 2011 Feb;91(2):e45-9. 7 Brousseau, ME, Schaefer, EJ, Wolfe, ML, Bloedon, LT, Digenio, AG, Clark, RW et al. Effects of an inhibitor of cholesteryl ester transfer protein on HDL cholesterol. N Engl J Med. 2004 Apr 8;350(15):1505-15. 8 Potter, WZ. Dose ranging for trials through biomarkers of drug effects. J Nutr Health Aging. 2010 Apr;14(4):310-1. 9 Chakravarty, A, Shinde, V, Tabernero, J, Cervantes, A, Cohen, RB, Dees, EC et al. Phase I assessment of new mechanism-based pharmacodynamic biomarkers for MLN8054, a small-molecule inhibitor of Aurora A kinase. Cancer Res. 2011 Feb 1;71(3):675-85. 10 Francia, G, Cruz-Munoz, W, Man, S, Xu, P, Kerbel, RS. Mouse models of advanced spontaneous metastasis for experimental therapeutics. Nat Rev Cancer. 2011 Feb;11(2):135-41. 11 LeRoith, D, Gavrilova, O. Mouse models created to study the pathophysiology of Type 2 diabetes. Int J Biochem Cell Biol. 2006;38(5- 6):904-12. 12 Meir, KS, Leitersdorf, E. Atherosclerosis in the apolipoprotein-E-deficient mouse: a decade of progress. Arterioscler Thromb Vasc Biol. 2004 Jun;24(6):1006-14. 13 Olsen, CK, Brennum, LT, Kreilgaard, M. Using pharmacokinetic-pharmacodynamic modelling as a tool for prediction of therapeutic effective plasma levels of antipsychotics. Eur J Pharmacol. 2008 Apr 28;584(2-3):318-27. 14 Macleod, MR, Fisher, M, O’Collins, V, Sena, ES, Dirnagl, U, Bath, PM et al. Good laboratory practice: preventing introduction of bias at the bench. Stroke. 2009 Mar;40(3):e50-2. 15 Pound, P, Ebrahim, S. Supportive evidence is lacking for report on animal studies. BMJ. 2002 Nov 2;325(7371):1038.
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16 Hart, BA, Amor, S, Jonker, M. Evaluating the validity of animal models for research into therapies for immune-based disorders. Drug Discov Today. 2004 Jun 15;9(12):517-24. 17 Zadelaar, S, Kleemann, R, Verschuren, L, de Vries-Van der Weij, J, van der Hoorn, J, Princen, HM et al. Mouse models for atherosclerosis and pharmaceutical modifiers. Arterioscler Thromb Vasc Biol. 2007 Aug;27(8):1706-21. 18 Lindner, MD. Clinical attrition due to biased preclinical assessments of potential efficacy. Pharmacol Ther. 2007 Jul;115(1):148-75. 19 Fradkin, JE, Eastman, RC, Lesniak, MA, Roth, J. Specificity spillover at the hormone receptor – exploring its role in human disease. N Engl J Med. 1989 Mar 9;320(10):640-5. 20 Ciardiello, F, Tortora, G. EGFR antagonists in cancer treatment. N Engl J Med. 2008 Mar 13;358(11):1160-74. 21 Roberts, PJ, Stinchcombe, TE, Der, CJ, Socinski, MA. Personalized medicine in non- small-cell lung cancer: is KRAS a useful marker in selecting patients for epidermal growth factor receptor-targeted therapy? J Clin Oncol. 2010 Nov 1;28(31):4769-77. 22 Sarker, D, Workman, P. Pharmacodynamic biomarkers for molecular cancer therapeutics. Adv Cancer Res. 2007;96:213-68. 23 Ewertz, M, Jensen, AB. Late effects of breast cancer treatment and potentials for rehabilitation. Acta Oncol. 2011 Feb;50(2):187- 93. 24 Littman, BH. Tocilizumab and missed personalized medicine opportunities for patients with rheumatoid arthritis? Arthritis Rheum. 2009 May;60(5):1565-6. 25 Drubin, D, NL, C, J, P, AA, VH, BPF, RD, K, editors. Predictive classifiers for response to c- Met targeted therapies in lung and colon cancer [abstract]. American Association for Cancer Research; 2011 April 2; Orlando, FL. 26 Malandrino, N, Smith, RJ. Personalized medicine in diabetes. Clin Chem. 2011 Feb;57(2):231-40. 27 Golub, TR, Slonim, DK, Tamayo, P, Huard, C, Gaasenbeek, M, Mesirov, JP et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science. 1999 Oct 15;286(5439):531-7. 28 Winckler, W, Burtt, NP, Holmkvist, J, Cervin, C, de Bakker, PI, Sun, M et al. Association of common variation in the HNF1alpha gene region with risk of type 2 diabetes. Diabetes. 2005 Aug;54(8):2336-42. 29 Abifadel, M, Varret, M, Rabès, JP, Allard, D, Ouguerram, K, Devillers, M et al. Mutations in PCSK9 cause autosomal dominant hypercholesterolemia. Nature genetics. 2003;34(2):154-6. 30 Steinberg, D, Witztum, JL. Inhibition of PCSK9: a powerful weapon for achieving ideal LDL cholesterol levels. Proceedings of the National Academy of Sciences of the United States of America. 2009;106(24):9546-7. 31 Ein-Dor, L, Kela, I, Getz, G, Givol, D, Domany, E. Outcome signature genes in breast cancer: is
there a unique set? Bioinformatics. 2005 Jan 15;21(2):171-8. 32 Hendriks, BS, Griffiths, GJ, Benson, R, Kenyon, D, Lazzara, M, Swinton, J et al. Decreased internalisation of erbB1 mutants in lung cancer is linked with a mechanism conferring sensitivity to gefitinib. Syst Biol (Stevenage). 2006 Nov;153(6):457-66. 33 Hendriks, BS, Hua, F, Chabot, JR. Analysis of mechanistic pathway models in drug discovery: p38 pathway. Biotechnol Prog. 2008 Jan- Feb;24(1):96-109. 34 Schadt, EE, Friend, SH, Shaywitz, DA. A network view of disease and compound screening. Nat Rev Drug Discov. 2009 Apr;8(4):286-95. 35 Chen, Y, Zhu, J, Lum, PY, Yang, X, Pinto, S, MacNeil, DJ, et al. Variations in DNA elucidate molecular networks that cause disease. Nature. 2008 Mar 27;452(7186):429-35. 36 Emilsson, V, Thorleifsson, G, Zhang, B, Leonardson, AS, Zink, F, Zhu, J et al. Genetics of gene expression and its effect on disease. Nature. 2008 Mar 27;452(7186):423-8. 37 Guido, NJ, Wang, X, Adalsteinsson, D, McMillen, D, Hasty, J, Cantor, CR et al. A bottom-up approach to gene regulation. Nature. 2006 Feb 16;439(7078):856-60. 38 Bates, S. Progress towards personalized medicine. Drug Discov Today. 2010 Feb;15(3- 4):115-20.
Drug Discovery World Summer 2011
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