Abstract
The development of gene expression arrays to simultaneously quantify the expression of thousands of genes has been a leap forward in our attempt to understand the biology of pancreatic cancer in a variety of contexts. When combined with supervised and unsupervised interrogations using complex mathematical algorithms, researchers have been able to unveil specific molecular features of subsets of tumors. This has subsequently led to a greater understanding of the heterogeneity of pancreatic cancer genesis, metastasis, and resistance to drug therapy. Further, these studies have provided lists of proteins that could potentially be targeted to modify these phenomena, as well as serve as biomarkers during the drug discovery process and translation to the clinic. This chapter focuses on approaches to the application of gene expression arrays that have been able to address these questions, with special consideration of how they can and are being used to uncover and develop new therapies for pancreatic cancer.
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Gawad, C. (2010). Gene Expression Arrays in Pancreatic Cancer Drug Discovery Research. In: Han, H., Grippo, P. (eds) Drug Discovery in Pancreatic Cancer. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1160-5_6
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