Unknown

Dataset Information

Altered miRNAs Expression Correlates With Gastroenteropancreatic Neuroendocrine Tumors Grades.


ABSTRACT: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare and heterogeneous tumors that present a wide spectrum of different clinical and biological characteristics. Currently, tumor grading, determined by Ki-67 staining and mitotic counts, represents the most reliable predictor of prognosis. This time-consuming approach fails to reach high reproducibility standards thus requiring novel approaches to support histological evaluation and prognosis. In this study, starting from a microarray analysis of paraffin-embedded tissue specimens, we defined the miRNAs signature for poorly differentiated NETs (G3) compared to well-differentiated NETs (G1 and G2) consisting of 56 deregulated miRNAs. We identified 8 miRNAs that were expressed in all GEP-NETs grades but at different level. Among th

SUBMITTER: Cavalcanti E 

PROVIDER: S-EPMC7379872 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature