A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal. (December 2018)
- Record Type:
- Journal Article
- Title:
- A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal. (December 2018)
- Main Title:
- A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal
- Authors:
- Rindi, Guido
Klimstra, David
Abedi-Ardekani, Behnoush
Asa, Sylvia
Bosman, Frederik
Brambilla, Elisabeth
Busam, Klaus
Krijger, Ronald
Dietel, Manfred
El-Naggar, Adel
Fernandez-Cuesta, Lynnette
Klöppel, Günter
McCluggage, W.
Moch, Holger
Ohgaki, Hiroko
Rakha, Emad
Reed, Nicholas
Rous, Brian
Sasano, Hironobu
Scarpa, Aldo
Scoazec, Jean-Yves
Travis, William
Tallini, Giovanni
Trouillas, Jacqueline
Krieken, J.
Cree, Ian - Abstract:
- Abstract 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 allowAbstract 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. … (more)
- Is Part Of:
- Modern pathology. Volume 31:Number 12(2018)
- Journal:
- Modern pathology
- Issue:
- Volume 31:Number 12(2018)
- Issue Display:
- Volume 31, Issue 12 (2018)
- Year:
- 2018
- Volume:
- 31
- Issue:
- 12
- Issue Sort Value:
- 2018-0031-0012-0000
- Page Start:
- 1770
- Page End:
- 1786
- Publication Date:
- 2018-12
- Subjects:
- Pathology -- Periodicals
Diagnosis, Laboratory -- Periodicals
Pathologie -- Périodiques
Diagnostics biologiques -- Périodiques
Diagnosis, Laboratory
Pathology
Pathology -- Abstracts
Pathology -- Periodicals
Periodicals
Electronic journals
616.07 - Journal URLs:
- http://www.nature.com/modpathol/index.html ↗
http://modpath.uscapjournals.org/ ↗
http://www.nature.com/ ↗ - DOI:
- 10.1038/s41379-018-0110-y ↗
- Languages:
- English
- ISSNs:
- 0893-3952
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5890.767000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11173.xml