TY - JOUR
T1 - The European Society of Thoracic Surgeons (ESTS) lung neuroendocrine tumors (NETs) database
AU - Filosso, Pier Luigi
AU - Falcoz, Pierre Emmanuel
AU - Solidoro, Paolo
AU - Pellicano, Danilo
AU - Passani, Stefano
AU - Guerrera, Francesco
AU - Ruffini, Enrico
AU - Casadio, Caterina
AU - Rena, Ottavio
AU - Casado, Paula Moreno
AU - Alvarez, Antonio
AU - Sagan, Dariusz
AU - Carbognani, Paolo
AU - Ampollini, Luca
AU - Asadi, Nizar
AU - Stella, Federico
AU - Nosotti, Mario
AU - Santambrogio, Luigi
AU - Thomas, Pascal Alexandre
AU - Gust, Lucile
AU - Pompili, Cecilia
AU - Brunelli, Alessandro
AU - Margaritora, Stefano
AU - Chiappetta, Marco
AU - Roesel, Christian
AU - Rendina, Erino Angelo
AU - Maurizi, Giulio
AU - Larocca, Valentina
AU - Ardissone, Francesco
AU - Travis, William D.
AU - Sarkaria, Inderpal
AU - Rocco, Gaetano
N1 - Publisher Copyright:
© Journal of Thoracic Disease. All rights reserved.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Histological characteristics and clinical behaviour define lung neuroendocrine tumors (NETs), which are classified into four groups: typical (TC) and atypical carcinoids (AC), large-cell neuroendocrine carcinomas (LCNCs) and small-cell lung cancers (SCLCs). Historically, outcome and treatment of these rare neoplasms have been based on small, usually mono-institutional clinical series. Furthermore, their rarity makes quite impossible to design randomised clinical trial to compare different treatments especially in unusual clinical presentations. In 2012, the European Society of Thoracic Surgeons (ESTS) launched a new working-group, specifically dedicated to lung NETs, with the aim to develop modern knowledge on biology and behaviour of these tumors, and to disseminate it within the scientific community. A dedicated retrospective database was at first developed and sent to all the ESTS centres interested to this project. More than 2,000 operated NETs cases have been rapidly collected, and they represented the clinical substrate of several published scientific studies. The retrospective data collection intrinsic limitations in term of patients’ selection and treatment, along with the problem of possible missing data, were the reasons why the ESTS NETs working-group decided in 2015 to design and promote a new prospective database, employing the official ESTS platform. The aim of this review paper is to report the ESTS Lung NETs working-group history and to explain the architecture and use of the lung NETs databases.
AB - Histological characteristics and clinical behaviour define lung neuroendocrine tumors (NETs), which are classified into four groups: typical (TC) and atypical carcinoids (AC), large-cell neuroendocrine carcinomas (LCNCs) and small-cell lung cancers (SCLCs). Historically, outcome and treatment of these rare neoplasms have been based on small, usually mono-institutional clinical series. Furthermore, their rarity makes quite impossible to design randomised clinical trial to compare different treatments especially in unusual clinical presentations. In 2012, the European Society of Thoracic Surgeons (ESTS) launched a new working-group, specifically dedicated to lung NETs, with the aim to develop modern knowledge on biology and behaviour of these tumors, and to disseminate it within the scientific community. A dedicated retrospective database was at first developed and sent to all the ESTS centres interested to this project. More than 2,000 operated NETs cases have been rapidly collected, and they represented the clinical substrate of several published scientific studies. The retrospective data collection intrinsic limitations in term of patients’ selection and treatment, along with the problem of possible missing data, were the reasons why the ESTS NETs working-group decided in 2015 to design and promote a new prospective database, employing the official ESTS platform. The aim of this review paper is to report the ESTS Lung NETs working-group history and to explain the architecture and use of the lung NETs databases.
KW - Lung
KW - Neuroendocrine tumors (NETs)
KW - Outcome
KW - Prospective database
KW - Retrospective database
UR - https://www.scopus.com/pages/publications/85055863759
U2 - 10.21037/jtd.2018.04.104
DO - 10.21037/jtd.2018.04.104
M3 - Review article
SN - 2072-1439
VL - 10
SP - S3528-S3532
JO - Journal of Thoracic Disease
JF - Journal of Thoracic Disease
ER -