The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal
Open accessAbstract
The classification of neuroendocrine neoplasms (NENs) differs between organ systems and currently causes considerable confusion. A uniform classification framework for NENs at any anatomical location may reduce inconsistencies and contradictions among the various systems currently in use. The classification suggested here is intended to allow pathologists and clinicians to manage their patients with NENs consistently, while acknowledging organ-specific differences in classification criteria, tumor biology, and prognostic factors. The classification suggested is based on a consensus conference held at the International Agency for Research on Cancer (IARC) in November 2017 and subsequent discussion with additional experts. The key feature of the new classification is a distinction between differentiated neuroendocrine tumors (NETs), also designated carcinoid tumors in some systems, and poorly differentiated NECs, as they both share common expression of neuroendocrine markers. This dichotomous morphological subdivision into NETs and NECs is supported by genetic evidence at specific anatomic sites as well as clinical, epidemiologic, histologic, and prognostic differences. In many organ systems, NETs are graded as G1, G2, or G3 based on mitotic count and/or Ki-67 labeling index, and/or the presence of necrosis; NECs are considered high grade by definition. We believe this conceptual approach can form the basis for the next generation of NEN classifications and will allow more consistent taxonomy to understand how neoplasms from different organ systems inter-relate clinically and genetically.
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
Cites
Whole-genome landscape of pancreatic neuroendocrine tumours
Initiative, A. P. C. G., Scarpa, A., Chang, D. K., Nones, K., Corbo, V., Patch, A.-M., Bailey, P., Lawlor, R. T., Johns, A. L., Miller, D. K., et al. (2017) · Nature · doi:10.1038/nature21063 · Cited by 999
Self-citationPathological grading for predicting metastasis in phaeochromocytoma and paraganglioma
Kimura, N., Takayanagi, R., Takizawa, N., Itagaki, E., Katabami, T., Kakoi, N., Rakugi, H., Ikeda, Y., Tanabe, A., Nigawara, T., et al. (2014) · Endocrine Related Cancer · doi:10.1530/erc-13-0494 · Cited by 393
Rossi, G., Cavazza, A., Marchioni, A., Longo, L., Migaldi, M., Sartori, G., Bigiani, N., Schirosi, L., Casali, C., Morandi, U., et al. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.02.8233 · Cited by 303
Self-citation
Cited by
The 2021 WHO classification of tumors of the central nervous system: a summary
Louis, D. N., Perry, A., Wesseling, P., Brat, D. J., Cree, I. A., Figarella-Branger, D., Hawkins, C., Ng, H. K., Pfister, S. M., Reifenberger, G., et al. (2021) · Neuro-Oncology · doi:10.1093/neuonc/noab106 · Cited by 12,273
Self-citationYoung, J., Haissaguerre, M., Viera-Pinto, O., Chabre, O., Baudin, E., & Tabarin, A. (2020) · European Journal of Endocrinology · doi:10.1530/eje-19-0877 · Cited by 232
Lawlor, R. T., Veronese, N., Pea, A., Nottegar, A., Smith, L., Pilati, C., Demurtas, J., Fassan, M., Cheng, L., & Luchini, C. (2019) · BMC Cancer · doi:10.1186/s12885-019-5424-8 · Cited by 62
Loharkar, S., & Basu, S. (2023) · Expert Review of Precision Medicine and Drug Development · doi:10.1080/23808993.2023.2211090 · Cited by 16
Metformin and Everolimus in Neuroendocrine Tumours: A Synergic Effect?
Hue-Fontaine, L., Lemelin, A., Forestier, J., Raverot, G., Milot, L., Robinson, P., Borson-Chazot, F., Lombard-Bohas, C., & Walter, T. (2020) · Clinics and Research in Hepatology and Gastroenterology · doi:10.1016/j.clinre.2020.02.011 · Cited by 8
Metadata
- Authors
- Rindi, G., Klimstra, D. S., Abedi-Ardekani, B., Asa, S. L., Bosman, F. T., Brambilla, E., Busam, K. J., de Krijger, R. R., Dietel, M., El-Naggar, A. K., Fernandez-Cuesta, L., Klöppel, G., McCluggage, W. G., Moch, H., Ohgaki, H., Rakha, E. A., Reed, N. S., Rous, B. A., Sasano, H., Scarpa, A., Scoazec, J.-Y., Travis, W. D., Tallini, G., Trouillas, J., van Krieken, J. H., & Cree, I. A.
- Venue
- Modern Pathology
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 31
- Issue
- 12
- Pages
- 1770-1786
- ISSN
- 0893-3952 (ISSN-L)
- OpenAlex
- W2888018398
- Cited by
- 1,163
- References
- 3
- FWCI
- 77.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal. https://app.cochat.ai/papers/10.1038/s41379-018-0110-y
- The paper
- Rindi, G., Klimstra, D. S., Abedi-Ardekani, B., Asa, S. L., Bosman, F. T., Brambilla, E., Busam, K. J., de Krijger, R. R., Dietel, M., El-Naggar, A. K., Fernandez-Cuesta, L., Klöppel, G., McCluggage, W. G., Moch, H., Ohgaki, H., Rakha, E. A., Reed, N. S., Rous, B. A., Sasano, H., . . . Cree, I. A. (2018). A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal. Modern Pathology. https://doi.org/10.1038/s41379-018-0110-y
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.