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Morphologic and molecular classification of lung neuroendocrine neoplasms
Neuroendocrine neoplasms (NENs) of the lung encompass neuroendocrine tumors (NETs) composed of typical (TC) and atypical (AC) carcinoids and full-fledged carcinomas (NECs) inclusive of large cell neuroendocrine carcinoma (LCNEC) and small cell carcinoma (SCLC). NETs and NECs are thought to represent...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966641/ https://www.ncbi.nlm.nih.gov/pubmed/33474631 http://dx.doi.org/10.1007/s00428-020-03015-z |
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author | Metovic, Jasna Barella, Marco Bianchi, Fabrizio Hofman, Paul Hofman, Veronique Remmelink, Myriam Kern, Izidor Carvalho, Lina Pattini, Linda Sonzogni, Angelica Veronesi, Giulia Harari, Sergio Forest, Fabien Papotti, Mauro Pelosi, Giuseppe |
author_facet | Metovic, Jasna Barella, Marco Bianchi, Fabrizio Hofman, Paul Hofman, Veronique Remmelink, Myriam Kern, Izidor Carvalho, Lina Pattini, Linda Sonzogni, Angelica Veronesi, Giulia Harari, Sergio Forest, Fabien Papotti, Mauro Pelosi, Giuseppe |
author_sort | Metovic, Jasna |
collection | PubMed |
description | Neuroendocrine neoplasms (NENs) of the lung encompass neuroendocrine tumors (NETs) composed of typical (TC) and atypical (AC) carcinoids and full-fledged carcinomas (NECs) inclusive of large cell neuroendocrine carcinoma (LCNEC) and small cell carcinoma (SCLC). NETs and NECs are thought to represent distinct and separate lesions with neither molecular overlap nor common developmental continuum. Two perspectives were addressed regarding the morphologic and molecular classification of lung NENs: (i) a supervised approach by browsing the traditional classification, the relevant gene alterations, and their clinical implications; and (ii) an unsupervised approach, by reappraising neoplasms according to risk factors and natural history of disease to construct an interpretation model relied on biological data. We herein emphasize lights and shadows of the current classification of lung NENs and provide an alternative outlook on these tumors focused on what we currently know about the biological determinants and the natural history of disease. |
format | Online Article Text |
id | pubmed-7966641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-79666412021-04-01 Morphologic and molecular classification of lung neuroendocrine neoplasms Metovic, Jasna Barella, Marco Bianchi, Fabrizio Hofman, Paul Hofman, Veronique Remmelink, Myriam Kern, Izidor Carvalho, Lina Pattini, Linda Sonzogni, Angelica Veronesi, Giulia Harari, Sergio Forest, Fabien Papotti, Mauro Pelosi, Giuseppe Virchows Arch Review and Perspectives Neuroendocrine neoplasms (NENs) of the lung encompass neuroendocrine tumors (NETs) composed of typical (TC) and atypical (AC) carcinoids and full-fledged carcinomas (NECs) inclusive of large cell neuroendocrine carcinoma (LCNEC) and small cell carcinoma (SCLC). NETs and NECs are thought to represent distinct and separate lesions with neither molecular overlap nor common developmental continuum. Two perspectives were addressed regarding the morphologic and molecular classification of lung NENs: (i) a supervised approach by browsing the traditional classification, the relevant gene alterations, and their clinical implications; and (ii) an unsupervised approach, by reappraising neoplasms according to risk factors and natural history of disease to construct an interpretation model relied on biological data. We herein emphasize lights and shadows of the current classification of lung NENs and provide an alternative outlook on these tumors focused on what we currently know about the biological determinants and the natural history of disease. Springer Berlin Heidelberg 2021-01-21 2021 /pmc/articles/PMC7966641/ /pubmed/33474631 http://dx.doi.org/10.1007/s00428-020-03015-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review and Perspectives Metovic, Jasna Barella, Marco Bianchi, Fabrizio Hofman, Paul Hofman, Veronique Remmelink, Myriam Kern, Izidor Carvalho, Lina Pattini, Linda Sonzogni, Angelica Veronesi, Giulia Harari, Sergio Forest, Fabien Papotti, Mauro Pelosi, Giuseppe Morphologic and molecular classification of lung neuroendocrine neoplasms |
title | Morphologic and molecular classification of lung neuroendocrine neoplasms |
title_full | Morphologic and molecular classification of lung neuroendocrine neoplasms |
title_fullStr | Morphologic and molecular classification of lung neuroendocrine neoplasms |
title_full_unstemmed | Morphologic and molecular classification of lung neuroendocrine neoplasms |
title_short | Morphologic and molecular classification of lung neuroendocrine neoplasms |
title_sort | morphologic and molecular classification of lung neuroendocrine neoplasms |
topic | Review and Perspectives |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966641/ https://www.ncbi.nlm.nih.gov/pubmed/33474631 http://dx.doi.org/10.1007/s00428-020-03015-z |
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