Supplementary Figure 4 from MicroRNA Alterations of Pancreatic Intraepithelial Neoplasias
journal contribution
posted on 2023-03-31, 16:44 authored by Jun Yu, Ang Li, Seung-Mo Hong, Ralph H. Hruban, Michael GogginsPDF file - 185K
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ARTICLE ABSTRACT
Purpose: MicroRNA (miRNA) alterations are likely to contribute to the development of pancreatic cancer and may serve as markers for the early detection of pancreatic neoplasia.Experimental Design: To identify the miRNA alterations that arise during the development of pancreatic cancer, we determined the levels of 735 miRNAs in 34 pancreatic intraepithelial neoplasias (PanIN) and 15 normal pancreatic duct samples isolated by laser capture microdissection using TaqMan miRNA microarrays. Differential expression of selected miRNAs was confirmed by FISH analysis and by quantitative real-time reverse transcription PCR (qRT-PCR) analysis of selected candidate miRNAs in an independent set of PanIN and normal duct samples.Results: We identified 107 aberrantly expressed miRNAs in different PanIN grades compared with normal pancreatic duct samples and 35 aberrantly expressed miRNAs in PanIN-3 lesions compared with normal pancreatic duct samples. These differentially expressed miRNAs included those that have been previously identified as differentially expressed in pancreatic ductal adenocarcinomas (PDAC; including miR-21, miR-200a/b/c, miR-216a/b, miR-217, miR-146a, miR-155, miR-182, miR-196b, miR-203, miR-222, miR-338-3p, miR-486-3p, etc.) as well as miRNAs not previously described as differentially expressed in these lesions (miR-125b, miR-296-5p, miR-183*, miR-603, miR-625/*, miR-708, etc.). miR-196b was the most selectively differentially expressed miRNA in PanIN-3 lesions.Conclusions: Many miRNAs undergo aberrant expression in PanIN lesions and are likely to be important in the development of PDAC. The miRNAs, such as miR-196b, whose expression is limited to PanIN-3 lesions or pancreatic cancers could be useful as diagnostic markers. Clin Cancer Res; 18(4); 981–92. ©2011 AACR.Usage metrics
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