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Altered miRNAs Expression Correlates With Gastroenteropancreatic Neuroendocrine Tumors Grades
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....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379872/ https://www.ncbi.nlm.nih.gov/pubmed/32766159 http://dx.doi.org/10.3389/fonc.2020.01187 |
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author | Cavalcanti, Elisabetta Galleggiante, Vanessa Coletta, Sergio Stasi, Elisa Chieppa, Marcello Armentano, Raffaele Serino, Grazia |
author_facet | Cavalcanti, Elisabetta Galleggiante, Vanessa Coletta, Sergio Stasi, Elisa Chieppa, Marcello Armentano, Raffaele Serino, Grazia |
author_sort | Cavalcanti, Elisabetta |
collection | PubMed |
description | 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 these miRNAs, miR-96-5p expression level was progressively higher from grade 1 to grade 3; inversely, its target FoxO1 expression decreased from grade 1 to grade 3. Our results reveal that the miRNAs expression profile of GEP-NET is correlated with the tumor grade, showing a potential advantage of miRNA quantification that could aid clinicians in the classification of common GEP-NETs subtypes. These findings could reliably support the histological evaluation of GEP-NETs paving the way toward personalized treatment approaches. |
format | Online Article Text |
id | pubmed-7379872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73798722020-08-05 Altered miRNAs Expression Correlates With Gastroenteropancreatic Neuroendocrine Tumors Grades Cavalcanti, Elisabetta Galleggiante, Vanessa Coletta, Sergio Stasi, Elisa Chieppa, Marcello Armentano, Raffaele Serino, Grazia Front Oncol Oncology 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 these miRNAs, miR-96-5p expression level was progressively higher from grade 1 to grade 3; inversely, its target FoxO1 expression decreased from grade 1 to grade 3. Our results reveal that the miRNAs expression profile of GEP-NET is correlated with the tumor grade, showing a potential advantage of miRNA quantification that could aid clinicians in the classification of common GEP-NETs subtypes. These findings could reliably support the histological evaluation of GEP-NETs paving the way toward personalized treatment approaches. Frontiers Media S.A. 2020-07-17 /pmc/articles/PMC7379872/ /pubmed/32766159 http://dx.doi.org/10.3389/fonc.2020.01187 Text en Copyright © 2020 Cavalcanti, Galleggiante, Coletta, Stasi, Chieppa, Armentano and Serino. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Cavalcanti, Elisabetta Galleggiante, Vanessa Coletta, Sergio Stasi, Elisa Chieppa, Marcello Armentano, Raffaele Serino, Grazia Altered miRNAs Expression Correlates With Gastroenteropancreatic Neuroendocrine Tumors Grades |
title | Altered miRNAs Expression Correlates With Gastroenteropancreatic Neuroendocrine Tumors Grades |
title_full | Altered miRNAs Expression Correlates With Gastroenteropancreatic Neuroendocrine Tumors Grades |
title_fullStr | Altered miRNAs Expression Correlates With Gastroenteropancreatic Neuroendocrine Tumors Grades |
title_full_unstemmed | Altered miRNAs Expression Correlates With Gastroenteropancreatic Neuroendocrine Tumors Grades |
title_short | Altered miRNAs Expression Correlates With Gastroenteropancreatic Neuroendocrine Tumors Grades |
title_sort | altered mirnas expression correlates with gastroenteropancreatic neuroendocrine tumors grades |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379872/ https://www.ncbi.nlm.nih.gov/pubmed/32766159 http://dx.doi.org/10.3389/fonc.2020.01187 |
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