Beyond Traditional Morphological Characterization of Lung Neuroendocrine Neoplasms: In Silico Study of Next-Generation Sequencing Mutations Analysis across the Four World Health Organization Defined Groups

Beyond Traditional Morphological Characterization of Lung Neuroendocrine Neoplasms: In Silico Study of Next-Generation Sequencing Mutations Analysis across the Four World Health Organization Defined Groups

Lung neuroendocrine neoplasms (LNENs) represent a rare and heterogeneous population of lung tumors. LNENs incidence rate has increased dramatically over the past 30 years. The current World Health Organization LNENs classification (WHO 2015), distinguished four LNENs prognostic categories, according...

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Bibliographic Details
Main Authors: Giovanni Centonze, Davide Biganzoli, Natalie Prinzi, Sara Pusceddu, Alessandro Mangogna, Elena Tamborini, Federica Perrone, Adele Busico, Vincenzo Lagano, Laura Cattaneo, Gabriella Sozzi, Luca Roz, Elia Biganzoli, Massimo Milione
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Cancers
Subjects:
lung cancer
lung neuroendocrine neoplasm
in silico analysis
Online Access:https://www.mdpi.com/2072-6694/12/10/2753

Internet

https://www.mdpi.com/2072-6694/12/10/2753

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