Abstract
The molecular characterization of pancreatic adenocarcinoma is beset with several inherent challenges. At the outset, even though pancreatic cancer is the fourth leading cause of cancer-related deaths, it is relatively rare among the most morbid malignancies, and only 15–20 % of patients are surgically resectable at presentation. As a result, there are small cohorts of tumor tissues available for research. In addition, access to the pancreas, located deep in the retroperitoneum, requires highly specialized expertise and infrastructure available only at select centers, which further limits the availability of pancreatic tissues and biopsy samples. Furthermore, pancreatic adenocarcinoma is uniquely characterized by a dense desmoplastic stroma, which typically results in no more than 20–30 % of cancer cells in grossly dissected tumor tissues. The sample-related constraints are further compounded by the abundance of proteolytic and nucleolytic enzymes in the pancreas that diminish the quality of the biomolecules used for molecular analyses. In this context, the advent of highly sensitive, high-throughput genomics platforms, ex vivo cultures of primary tumors, and innovative transgenic mouse models of the disease over the past decade have helped overcome many of the practical bottlenecks leading to important breakthroughs in the molecular characterization of pancreatic cancer with potential clinical significance. Here we appraise some of the most salient high-throughput technologies in genomics, proteomics, and metabolomics currently utilized in the study of cancers and review their specific applications in pancreatic cancer research.
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Wei, I.H., Kumar-Sinha, C. (2013). Innovative Technologies in the Molecular Characterization of Pancreatic Cancer. In: Simeone, D., Maitra, A. (eds) Molecular Genetics of Pancreatic Cancer. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6549-2_10
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