Evidence map›Paper›PMID 33474631›Full record

ReviewVirchows Archiv : an international journal of pathology2021

Morphologic and molecular classification of lung neuroendocrine neoplasms.

Jasna Metovic, Marco Barella, Fabrizio Bianchi, Paul Hofman, Veronique Hofman, Myriam Remmelink, Izidor Kern, Lina Carvalho, Linda Pattini, Angelica Sonzogni and 5 more

Abstract readReview
In one paragraph

Review in Virchows Archiv : an international journal of pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

  1. Review
  2. Article
  3. Correlation of TP53 Mutations With p53 Expression and Ki-67 Index in Pulmonary Large Cell Neuroendocrine Carcinomas.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Neuroendocrine neoplasms of the lung: The latest updates.World journal of clinical oncology · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Small cell lung cancer and neuroendocrine tumours.Breathe (Sheffield, England) · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Jasna Metovic *Department of Oncology, University of Turin, Turin, Italy.
Marco BarellaInter-Hospital Pathology Division, Servizio Interaziendale di Anatomia Patologica, IRCCS MultiMedica, Via Gaudenzio Fantoli 16/15, 20138, Milan, Italy.
Fabrizio BianchiCancer Biomarker Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Paul HofmanLaboratory of Clinical and Experimental Pathology, FHU OncoAge, Nice Hospital, Biobank BB-0033-00025, IRCAN, Inserm U1081 CNRS 7284, University Côte d'Azur, Nice, France.
Veronique HofmanLaboratory of Clinical and Experimental Pathology, FHU OncoAge, Nice Hospital, Biobank BB-0033-00025, IRCAN, Inserm U1081 CNRS 7284, University Côte d'Azur, Nice, France.
Myriam RemmelinkDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles (ULB), Route de Lennik 808, 1070, Brussels, Belgium.
Izidor KernCytology and Pathology Laboratory, University Clinic of Respiratory and Allergic Diseases, Golnik, Slovenia.
Lina CarvalhoDepartment of Pathological Anatomy, Coimbra Hospital and University Center, Coimbra, Portugal.
Linda PattiniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Angelica SonzogniDepartment of Pathology and Laboratory Medicine, IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Giulia VeronesiDivision of Thoracic Surgery, San Raffaele Scientific Institute - IRCCS, Milan, Italy.
Sergio HarariDepartment of Medical Sciences and Community Health, University of Milan, Milan, Italy.
Fabien ForestDepartment of Pathology, University Hospital Center (CHU), North Hospital, Saint-Étienne, France.
Mauro PapottiDepartment of Oncology, University of Turin, Turin, Italy.
Giuseppe Pelosi *Inter-Hospital Pathology Division, Servizio Interaziendale di Anatomia Patologica, IRCCS MultiMedica, Via Gaudenzio Fantoli 16/15, 20138, Milan, Italy. giuseppe.pelosi@unimi.it.ORCID http://orcid.org/0000-0003-4725-4692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Biomarkers, TumorCarcinoma, NeuroendocrineHumansLungLung NeoplasmsNeuroendocrine TumorsBiomarkers, TumorAtypicalCarcinoidCarcinomaClassificationDifferentiationGeneLarge cellLungMolecularNeuroendocrineProgressionSignatureSmall cellStem cellTypical

Identifiers

PMID33474631
PMCPMC7966641

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.