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Published in: Endocrine 1/2024

Open Access 04-01-2024 | Neuroendocrine Tumor | Mini Review

Epidemiology of gastroenteropancreatic neuroendocrine neoplasms: a review and protocol presentation for bridging tumor registry data with the Italian association for neuroendocrine tumors (Itanet) national database

Authors: Francesco Panzuto, Stefano Partelli, Davide Campana, Filippo de Braud, Francesca Spada, Mauro Cives, Salvatore Tafuto, Alexia Bertuzzi, Fabio Gelsomino, Francesca Bergamo, Stefano Marcucci, Laura Mastrangelo, Sara Massironi, Marialuisa Appetecchia, Angelina Filice, Giuseppe Badalamenti, Mirco Bartolomei, Vito Amoroso, Luca Landoni, Maria Grazia Rodriquenz, Monica Valente, Annamaria Colao, Andrea Isidori, Giuseppe Fanciulli, Roberto Bollina, Michele Ciola, Giovanni Butturini, Riccardo Marconcini, Emanuela Arvat, Saverio Cinieri, Rossana Berardi, Sergio Baldari, Ferdinando Riccardi, Chiara Spoto, Dario Giuffrida, Domenico Gattuso, Diego Ferone, Maria Rinzivillo, Emilio Bertani, Annibale Versari, Alessandro Zerbi, Giuseppe Lamberti, Eleonora Lauricella, Sara Pusceddu, Nicola Fazio, Elisabetta Dell’Unto, Marco Marini, Massimo Falconi

Published in: Endocrine | Issue 1/2024

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Abstract

Neuroendocrine neoplasms (NENs) are rare tumors with diverse clinical behaviors. Large databases like the Surveillance, Epidemiology, and End Results (SEER) program and national NEN registries have provided significant epidemiological knowledge, but they have limitations given the recent advancements in NEN diagnostics and treatments. For instance, newer imaging techniques and therapies have revolutionized NEN management, rendering older data less representative. Additionally, crucial parameters, like the Ki67 index, are missing from many databases. Acknowledging these gaps, the Italian Association for Neuroendocrine Tumors (Itanet) initiated a national multicenter prospective database in 2019, aiming to gather data on newly-diagnosed gastroenteropancreatic neuroendocrine (GEP) NENs. This observational study, coordinated by Itanet, includes patients from 37 Italian centers. The database, which is rigorously maintained and updated, focuses on diverse parameters including age, diagnostic techniques, tumor stage, treatments, and survival metrics. As of October 2023, data from 1,600 patients have been recorded, with an anticipation of reaching 3600 by the end of 2025. This study aims at understanding the epidemiology, clinical attributes, and treatment strategies for GEP-NENs in Italy, and to introduce the Itanet database project. Once comprehensive follow-up data will be acquired, the goal will be to discern predictors of treatment outcomes and disease prognosis. The Itanet database will offer an unparalleled, updated perspective on GEP-NENs, addressing the limitations of older databases and aiding in optimizing patient care.

Study registration

This protocol was registered in clinicaltriasl.gov (NCT04282083).
Appendix
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Metadata
Title
Epidemiology of gastroenteropancreatic neuroendocrine neoplasms: a review and protocol presentation for bridging tumor registry data with the Italian association for neuroendocrine tumors (Itanet) national database
Authors
Francesco Panzuto
Stefano Partelli
Davide Campana
Filippo de Braud
Francesca Spada
Mauro Cives
Salvatore Tafuto
Alexia Bertuzzi
Fabio Gelsomino
Francesca Bergamo
Stefano Marcucci
Laura Mastrangelo
Sara Massironi
Marialuisa Appetecchia
Angelina Filice
Giuseppe Badalamenti
Mirco Bartolomei
Vito Amoroso
Luca Landoni
Maria Grazia Rodriquenz
Monica Valente
Annamaria Colao
Andrea Isidori
Giuseppe Fanciulli
Roberto Bollina
Michele Ciola
Giovanni Butturini
Riccardo Marconcini
Emanuela Arvat
Saverio Cinieri
Rossana Berardi
Sergio Baldari
Ferdinando Riccardi
Chiara Spoto
Dario Giuffrida
Domenico Gattuso
Diego Ferone
Maria Rinzivillo
Emilio Bertani
Annibale Versari
Alessandro Zerbi
Giuseppe Lamberti
Eleonora Lauricella
Sara Pusceddu
Nicola Fazio
Elisabetta Dell’Unto
Marco Marini
Massimo Falconi
Publication date
04-01-2024
Publisher
Springer US
Published in
Endocrine / Issue 1/2024
Print ISSN: 1355-008X
Electronic ISSN: 1559-0100
DOI
https://doi.org/10.1007/s12020-023-03649-4

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