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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> 7<br />

information obtained through transcript analysis needs complementation with<br />

information on the cellular protein level. Proteomics, the study of the proteins <strong>and</strong><br />

protein pathways, is a promising technique for the rational identification of novel<br />

therapeutic targets (23). Two-dimensional (2D) polyacrylamide gel electrophoresis,<br />

multidimensional liquid chromatography, mass spectrometry, <strong>and</strong> protein<br />

microarray are among the proteomics techniques available for target discovery.<br />

Usually, protein extracts from cells or tissues are analyzed by 2D gel electrophoresis<br />

to identify differentially expressed or modified proteins. This technique<br />

is followed by mass spectrometry to determine the identity of individual<br />

protein spots of interest from the silver-stained gels. Also, several subcellular proteins<br />

fractions can be separately analyzed by proteomics, thereby reducing the<br />

complexity of the proteome. Regarding target <strong>and</strong> biomarker discovery, recent<br />

studies stress the power of combining several approaches to identity informative<br />

drug targets. For example, the combination of DNA microarray, SAGE, <strong>and</strong> proteomics<br />

led to an unbiased elucidation of new cancer biomarkers (see Chapter 4,<br />

Volume 1). Additionally, proteomics approaches can identify posttranslational<br />

modifications that can be important in the discovery of tumor antigens. Analysis<br />

of protein extract from cancer cells by immunoproteomics has resulted in the<br />

identification of novel tumor antigens (see Chapter 16, Volume 1).<br />

Several other techniques such as the yeast two-hybrid system, protein chips,<br />

<strong>and</strong> phage display have joined proteomics strategies now available for profiling<br />

immune response in patients <strong>and</strong> identification of tumor antigens. During the<br />

past decade, several tumor antigens were discovered using SEREX (22,24,25),<br />

a method that screens the antibody response of cancer patients against a library<br />

containing autologous or allogeneic tumor cDNA libraries (see Chapter 29). In<br />

contrast to SEREX, the selectivity <strong>and</strong> specificity are expected to be higher<br />

when iterative methods are used. By biopanning peptides or cDNA phage-display<br />

libraries, we have identified peptides <strong>and</strong> antigenic proteins to which patients<br />

developed humoral immune responses (26,27). The technique, known as phage<br />

display, should substantially accelerate the pace of tumor antigen discovery<br />

<strong>and</strong> could provide a molecular signature for immune responses in different<br />

types of cancer. Chapter 14, Volume 1, provides an excellent overview of the<br />

immune system <strong>and</strong> technical advances in tumour antigen discovery. It also<br />

highlights the problem of immune tolerance <strong>and</strong> tumor editing, particularly to<br />

cancer vaccine development.<br />

Whereas the principal goal of gene or serum profiling is to identify novel therapeutic<br />

targets, or serological markers, predictive screening strategies primary<br />

attempt to characterize treatment responses, coupled with the secondary aim of<br />

identifying novel therapeutic molecules. By contrast to the analysis of single<br />

serum biomarkers, protein arrays can be used to detect group of proteins that, in<br />

the aggregate, contain significantly more predictive information than do individual

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