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Recent advances in the molecular landscape of lung neuroendocrine tumors.

Giuseppe PelosiFabrizio BianchiPaul HofmanLinda PattiniPhilipp StröbelFiorella CalabreseSalma NaheedChloe HoldenJudith CaveHanibal BohnenbergerHelen DinterSergio HarariAdriana AlbiniAngelica SonzogniMauro PapottiMarco VolanteChristian H Ottensmeier
Published in: Expert review of molecular diagnostics (2019)
Neuroendocrine tumors of the lung (Lung-NETs) make up a heterogenous family of neoplasms showing neuroendocrine differentiation and encompass carcinoids and neuroendocrine carcinomas. On molecular grounds, they considered two completely distinct and separate tumor groups with no overlap of molecular alterations nor common developmental mechanisms. Areas covered: Two perspectives were evaluated based on an extensive review and rethinking of literature: (1) the current classification as an instrument to obtaining clinical and molecular insights into the context of Lung-NETs; and (2) an alternative and innovative interpretation of these tumors, proposing a tripartite separation into early aggressive primary high-grade neuroendocrine tumors (HGNET), differentiating or secondary HGNET, and indolent NET. Expert opinion: We herein provide an alternative outlook on Lung-NETs, which is a paradigm shift to current pathogenesis models and expands the understanding of these tumors.
Keyphrases
  • neuroendocrine tumors
  • high grade
  • systematic review
  • single molecule
  • machine learning
  • deep learning
  • computed tomography
  • mass spectrometry
  • single cell
  • patient reported outcomes
  • contrast enhanced