Multicomponent analysis of the pancreatic adenocarcinoma progression model using a pancreatic intraepithelial neoplasia tissue microarray

摘要: A multistep model for pancreatic adenocarcinoma has been proposed recently. In this model, well-defined, noninvasive ductal lesions are recognized as precursors of invasive cancer and have classified under the nomenclature intraepithelial neoplasia, or PanIN. Increasing evidence suggests that PanINs represent true neoplasms epithelium, accumulating histologic genetic abnormalities in their progression toward cancer. We constructed a tissue microarray containing 55 PanIN all grades order to perform multicomponent analysis model. The protein products 14 genes encompassing variety functional classes, such tumor suppressor (p53, Smad4/Dpc4), oncogenes (beta-catenin), cell cycle antigens (p16, cyclin D1), proliferation (Ki-67, topoisomerase II alpha), epithelial apomucins (MUC1, MUC2, MUC5), well "novel" described differentially up-regulated pancreas by global expression (mesothelin, prostate stem antigen, fascin, 14-3-3varsigma), were analyzed immunohistochemistry on microarray. Comparison results from current study with previously published data performed routine sections demonstrates microarrays valid platform molecular not only cancers but precursor well. addition, random can usually be stratified into "early" changes (e.g., MUC5 loss p16), "intermediate" "late" p53, antigens, MUC1, mesothelin, 14-3-3varsigma, Smad4/Dpc4). Understanding pathogenesis adenocarcinomas using high-throughput microarray-based approach is valuable adjunct designing rational strategies early detection lethal neoplasm.