An miRNA Signature Predicts Grading of Pancreatic Neuroendocrine Neoplasms
Authors: James Saller, Daley White, Brooke Hough, Sean Yoder, Junmin Whiting, Dung-Tsa Chen, Anthony Magliocco, Domenico Coppola
Journal: Cancer Genomics & Proteomics | Volume 20, Issue 2
Publisher: International Institute of Anticancer Research
Background/Aim:
Grading pancreatic neuroendocrine neoplasms (PNENs) via mitotic rate and Ki-67 index score is complicated by interobserver variability. Differentially expressed miRNAs (DEMs) are useful for predicting tumour progression and may be useful for grading.
Patients and Methods:
Twelve PNENs were selected. Four patients had grade (G) 1 pancreatic neuroendocrine tumours (PNETs); 4 had G2 PNETs; and 4 had G3 PNENs (2 PNETs and 2 pancreatic neuroendocrine carcinomas). Samples were profiled using the miRNA NanoString Assay.