Evidence map›Paper›PMID 42251892›Full record

ReviewJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2026

IASLC Update on Classification of Pulmonary Neuroendocrine Neoplasms.

Mary Beth Beasley, Yasushi Yatabe, Mauro Papotti, Wendy A Cooper, Jules L Derks, Lynnette Fernandez-Cuesta, Atsuko Kasajima, Sylvie Lantuejoul, Giuseppe Pelosi, Natasha Rekhtman and 3 more

Abstract readReview
In one paragraph

Review in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
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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

13 authors.

Mary Beth BeasleyDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York. Electronic address: mbbeasleymd@yahoo.com.
Yasushi YatabeDepartment of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan.
Mauro PapottiDepartment of Pathology, University of Turin, Turin, Italy.
Wendy A CooperRoyal Prince Alfred Hospital, NSW Health Pathology, Camperdown, New South Wales, Australia, Sydney Medical School, University of Sydney, New South Wales, Australia.
Jules L DerksDepartment of Respiratory Medicine, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
Lynnette Fernandez-CuestaComputational Cancer Genomics Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France.
Atsuko KasajimaDepartment of Pathology, TUM School of Medicine and Health, Munich, Germany.
Sylvie LantuejoulGrenoble Alpes University and Department of Biopathology, CLCC UNICANCER Léon Bérard, Lyon, France.
Giuseppe PelosiDepartment of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
Natasha RekhtmanDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Anja C RodenDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
Ernst Jan M SpeelDepartment of Pathology and Clinical Bioinformatics, Erasmus Medical Center, Rotterdam, The Netherlands.
William D TravisDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Since the publication of the 2021 WHO classification of thoracic tumors, our knowledge of pulmonary neuroendocrine neoplasms (NENs) has expanded significantly, particularly through the elucidation of molecular pathways and proposals to refine histopathologic classification. This expanded knowledge across all aspects of pulmonary NENs holds promise for more precise stratification of neuroendocrine tumors (NETs) and the potential development of novel, subtype-specific therapeutic strategies for all NENs. Based on our comprehensive review of the current pulmonary NEN landscape, our multidisciplinary expert panel has deliberated on the modification and updating of the 2021 classification, resulting in the proposal of a new pulmonary carcinoid/NET classification presented in this position paper, which incorporates the following three major points: (1) The proposed framework continues the shift from the traditional carcinoid terminology toward broader adoption of the "NET" nomenclature as found in other organ systems while retaining the term "carcinoid" as the primary diagnostic term to ensure clear communication with thoracic clinical providers. (2) Ki-67 has been incorporated as a diagnostic criterion, aligning with practices in other NET classifications. (3) There is formal recognition of the concept of "carcinoid/NET G3," a rare subset of lung carcinoids characterized by increased proliferative activity but with molecular features more aligned with pulmonary NETs than with high-grade neuroendocrine carcinomas. This position paper on the current knowledge of pulmonary NENs, including the proposed carcinoid/NET classification, will aid in accurate tumor categorization and guide treatment strategies.

Indexed as

Lung NeoplasmsNeuroendocrine TumorsHumansCarcinoid tumorClassificationNeuroendocrine carcinomaPulmonary neuroendocrine neoplasmPulmonary neuroendocrine tumorSmall cell lung cancer

Identifiers

PMID42251892
PMCPMC13678814

What OpenQuestion holds

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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.