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Target Discovery and Validation Reviews and Protocols

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<strong>Target</strong> <strong>Discovery</strong> <strong>and</strong> <strong>Validation</strong> 11<br />

High-throughput screens of small-molecule inhibitors have generated many<br />

target-specific drugs that could potentially be used for the treatment of patients<br />

with cancer (see Chapters 1 <strong>and</strong> 2, Volume 2). Also, molecules such as antisense<br />

oligonucleotides, siRNAs, <strong>and</strong> antibody inhibitors used to validate gene targets<br />

are themselves being developed as drugs (see Chapters 7, 10, 12, Volume 2).<br />

However, new developed drugs should be given to the right patients because the<br />

target might be active or present in only certain patients. There is also a growing<br />

list of genetic polymorphisms in drug metabolizing enzymes <strong>and</strong> transport<br />

proteins that have been shown to influence drug response. Drug concentrations<br />

in plasma can vary more than 600-fold between two individuals of the same<br />

weight on the same drug dosage (see Chapter 17, Volume 2). Therefore, molecular<br />

diagnostics need to be developed <strong>and</strong> integrated with drug development<br />

<strong>and</strong> clinical trial design.<br />

References<br />

1. Ch<strong>and</strong>a, S. K. <strong>and</strong> Caldwell, J. S. (2003) fulfilling the promise: drug discovery in<br />

the post-genomic era. Drug Discov. Today 8, 168–174.<br />

2. Segal, E., Fiedman, N., Kaminski, N., Regev, A., <strong>and</strong> Koller, D. (2005) From signatures<br />

to models: underst<strong>and</strong>ing cancer using microarrays. Nat. Genet. 37, S38–S45.<br />

3. Perou, C. M., Sørlie, T., Eisen, M. B., et al. (2000) Molecular portraits of human<br />

breast tumours. Nature 406, 747–752.<br />

4. Boon, K., Osorio, E. C., Greenhut, S. F., et al. (2002) An anatomy of normal <strong>and</strong><br />

malignant gene expression. Proc. Natl. Acad. Sci. USA 99, 11,287–11,292.<br />

5. Lash, A. E., Tolstoshev, C. M., Wagner, L., et al. (2000) SAGEmap: a public gene<br />

expression resource. Genome Res. 10, 1051–1060.<br />

6. Loging, W. T., Lal, A., Siu, I. M., et al. (2000) Identifying potential tumor markers<br />

<strong>and</strong> antigens by database mining <strong>and</strong> rapid expression screening. Genome Res.<br />

10, 1393–1402.<br />

7. de Hoog, C. L. <strong>and</strong> Mann, M. (2004) Proteomics. Annu. Rev. Genomics Hum.<br />

Genet. 5, 267–293.<br />

8. Brazhnik, P., de la Fuente, A., <strong>and</strong> Mendes, P. (2002) Gene networks: how to put<br />

the function in genomics. Trends Biotechnol. 20, 467–472.<br />

9. Odeberg, J., Wood, T., Blucher, A., Rafter, J., Norstedt, G., <strong>and</strong> Lundeberg, J.<br />

(2000) A cDNA RDA protocol using solid-phase technology suited for analysis<br />

in small tissue samples. Biomol. Eng. 17, 1–9.<br />

10. Patzke, S., Hauge, H., Sioud, M., et al. (2005) Identification of a novel centrosome/microtubule-associated<br />

coiled-coil protein involved in cell-cycle progression<br />

<strong>and</strong> spindle organization. Oncogene 24, 1159–1173.<br />

11. McDevitt, H. O. (1998) The role of MHC class II molecules in susceptibility <strong>and</strong><br />

resistance to autoimmunity. Curr. Opin. Immunol. 10, 677–681.<br />

12. Nebert, D. W., Jorge-Nebert, L., <strong>and</strong> Vesell, E. S. (2003) Pharmacogenomics <strong>and</strong><br />

“individualized drug therapy”: high expectations <strong>and</strong> disappointing achievements.<br />

Am. J. Pharmacogenomics 3, 361–370.

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