The DOI matches its Crossref record.
The new World Health Organization classification of lung tumours
Open accessAbstract
Tumour classification systems provide the foundation for tumour diagnosis and patient therapy and a critical basis for epidemiological and clinical studies. This updated classification was developed with the aim to adhere to the principles of reproducibility, clinical significance, and simplicity in order to minimize the number of unclassifiable lesions. Major changes in the revised classification as compared to the previous one (WHO 1981 1) include the addition of two pre-invasive lesions to squamous dysplasia and carcinoma in situ; atypical adenomatous hyperplasia and diffuse idiopathic pulmonary neuroendocrine cell hyperplasia. Another change is the subclassification of adenocarcinoma: the definition of bronchioalveolar carcinoma has been restricted to noninvasive tumours. There has been substantial evolution of concepts in neuroendocrine lung tumour classification. Large cell neuroendocrine carcinoma (LCNEC) is now recognized as a histologically high grade non small cell carcinoma showing histopathological features of neuroendocrine differentiation as well as immunohistochemical neuroendocrine markers. The large cell carcinoma class has been enriched with several variants, including the LCNEC and the basaloid carcinoma, both with a dismal prognosis. Finally, a new class was defined called carcinoma with pleomorphic, sarcomatoid, or sarcomatous elements, which brings together a number of proliferations characterized by a spectrum of epithelial to mesenchymal differentiation. Immunohistochemistry and electron microscopy are invaluable techniques for diagnosis and subclassification, but our intention was to render the classification simple and practical to every surgical laboratory, so that most lung tumours could be classified by light microscopic criteria.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Epidermal growth factor receptor mutations in lung cancer
Sharma, S. V., Bell, D. W., Settleman, J., & Haber, D. A. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2088 · Cited by 3,170
Small Cell Carcinoma of the Prostate: A Morphologic and Immunohistochemical Study of 95 Cases
Wang, W., & Epstein, J. I. (2008) · American Journal of Surgical Pathology · doi:10.1097/pas.0b013e318058a96b · Cited by 375
Influence of Chemotherapy on EGFR Mutation Status Among Patients With Non–Small-Cell Lung Cancer
Bai, H., Wang, Z., Chen, K., Zhao, J., Lee, J. J., Wang, S., Zhou, Q., Zhuo, M., Mao, L., An, T., et al. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2011.39.3744 · Cited by 199
Rittinghausen, S., Hackbarth, A., Creutzenberg, O., Ernst, H., Heinrich, U., Leonhardt, A., & Schaudien, D. (2014) · Particle and Fibre Toxicology · doi:10.1186/s12989-014-0059-z · Cited by 193
Gao, L., Ma, J., Mannoor, K., Guarnera, M. A., Shetty, A., Zhan, M., Xing, L., Stass, S. A., & Jiang, F. (2015) · International Journal of Cancer · doi:10.1002/ijc.29169 · Cited by 100
Metadata
- Authors
- Brambilla, E., Travis, W. D., Colby, T. V., Corrin, B., & Shimosato, Y.
- Venue
- European Respiratory Journal
- Publisher
- European Respiratory Society (ERS)
- Published
- 2001-12
- Volume
- 18
- Issue
- 6
- Pages
- 1059-1068
- ISSN
- 0903-1936 (ISSN-L)
- 1399-3003
- OpenAlex
- W2146236962
- Cited by
- 1,131
- References
- 0
- FWCI
- 14.34
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The new World Health Organization classification of lung tumours. https://app.cochat.ai/papers/10.1183/09031936.01.00275301
- The paper
- Brambilla, E., Travis, W. D., Colby, T. V., Corrin, B., & Shimosato, Y. (2001). The new World Health Organization classification of lung tumours. European Respiratory Journal. https://doi.org/10.1183/09031936.01.00275301
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.