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- Title
An miRNA Signature Predicts Grading of Pancreatic Neuroendocrine Neoplasms.
- Authors
SALLER, JAMES; WHITE, DALEY; HOUGH, BROOKE; YODER, SEAN; WHITING, JUNMIN; DUNG-TSA CHEN; MAGLIOCCO, ANTHONY; COPPOLA, DOMENICO
- Abstract
Background/Aim: Grading pancreatic neuroendocrine neoplasms (PNENs) via mitotic rate and Ki67 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. Results: There were 6 statistically significant DEMs between different grades of PNENs. MiR1285-5p was the sole miRNA differentially expressed (p=0.03) between G1 and G2 PNETs. Six statistically significant DEMs (miR135a-5p, miR200a-3p, miR3151-5p, miR-345-5p, miR548d-5p and miR9-5p) (p<0.05) were identified between G1 PNETs and G3 PNENs. Finally, 5 DEMs (miR155-5p, miR15b-5p, miR222-3p, miR548d-5p and miR9-5p) (p<0.05) were identified between G2 PNETs and G3 PNENs. Conclusion: The identified miRNA candidates are concordant with their patterns of dysregulation in other tumour types. The reliability of these DEMs as discriminators of PNEN grades support further investigations using larger patient populations.
- Subjects
NEUROENDOCRINE tumors; MICRORNA
- Publication
Cancer Genomics & Proteomics (1109-6535), 2023, Vol 20, Issue 2, p154
- ISSN
1109-6535
- Publication type
Article
- DOI
10.21873/cgp.20370