Neuroendocrine neoplasms of the breast: diagnostic agreement and impact on outcome
-
Published:2022-10-15
Issue:6
Volume:481
Page:839-846
-
ISSN:0945-6317
-
Container-title:Virchows Archiv
-
language:en
-
Short-container-title:Virchows Arch
Author:
Metovic Jasna, Cascardi Eliano, Uccella Silvia, Maragliano Roberta, Querzoli Giulia, Osella-Abate Simona, Pittaro Alessandra, La Rosa Stefano, Bogina Giuseppe, Cassoni Paola, Marchiò Caterina, Sapino Anna, Castellano IsabellaORCID, Papotti Mauro
Abstract
Abstract
The classification of breast neuroendocrine neoplasms (Br-NENs) was modified many times over the years and is still a matter of discussion. In the present study, we aimed to evaluate the diagnostic reproducibility and impact on patient outcomes of the most recent WHO 2019 edition of breast tumor classification, namely, for neuroendocrine tumors (NETs) and neuroendocrine carcinomas (NECs). This multicentric observational study included 287 breast neoplasms with NE differentiation. The cases were blindly classified by three independent groups of dedicated breast and/or endocrine pathologists following the 2019 guidelines. Diagnostic concordance and clinical impact were assessed. We observed only a moderate overall diagnostic agreement across the three centers (Cohen’s kappa 0.4532) in distinguishing NET from solid papillary carcinomas (SPCs) and no special type carcinomas (NST) with NE differentiation. Br-NENs were diagnosed in 122/287 (42.5%) cases, subclassified as 11 NET G1 (3.8%), 84 NET G2 (29.3%), and 27 NEC (9.4%), the latter group consisting of 26 large-cell and 1 small-cell NECs. The remaining 165/287 (57.5%) cases were labeled as non-NEN, including SPC, mucinous, NST, and mixed NE carcinomas. While NET and non-NEN cases had a comparable outcome, the diagnosis of NECs showed negative impact on disease-free interval compared to NETs and non-NENs (p = 0.0109). In conclusion, the current diagnostic classification of Br-NENs needs further adjustments regarding morphological and immunohistochemical criteria to increase the diagnostic reproducibility among pathologists. Our data suggest that, apart from high-grade small- and large-cell NECs, Br-NENs behave like non-NEN breast carcinomas and should be managed similarly.
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Molecular Biology,General Medicine,Pathology and Forensic Medicine
Reference20 articles.
1. Rindi G, Klimstra DS, Abedi-Ardekani B, Asa SL, Bosman FT, Brambilla E, Busam KJ, de Krijger RR, Dietel M, El-Naggar AK, Fernandez-Cuesta L, Klöppel G, McCluggage WG, Moch H, Ohgaki H, Rakha EA, Reed NS, Rous BA, Sasano H, Scarpa A, Scoazec J-Y, Travis WD, Tallini G, Trouillas J, van Krieken JH, Cree IA (2018) A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal. Mod Pathol 31:1770–1786. https://doi.org/10.1038/s41379-018-0110-y 2. Rindi G, Mete O, Uccella S, Basturk O, La Rosa S, Brosens LAA, Ezzat S, de Herder WW, Klimstra DS, Papotti M, Asa SL (2022) Overview of the 2022 WHO Classification of Neuroendocrine Neoplasms. Endocr Pathol 33:115–154. https://doi.org/10.1007/s12022-022-09708-2 3. Rakha EA, Reis-Filho JS, Sasano H, Wu Y (2019) Neuroendocrine neoplasms: introduction, neuroendocrine tumor, neuroendocrine carcinoma. In: WHO Classification of Tumours Editorial Board. Breast tumours, 5th edn. International Agency for Research on Cancer, Lyon, France, pp 155–161 4. Uccella S (2022) The classification of neuroendocrine neoplasms of the breast and its clinical relevance. Virchows Arch 481:3–12. https://doi.org/10.1007/s00428-021-03223-1 5. Metovic J, Castellano I, Marinelli E, Osella-Abate S, Sapino A, Cassoni P, Papotti M (2021) INSM1 expression in breast neoplasms with neuroendocrine features. Endocr Pathol 32:452–460. https://doi.org/10.1007/s12022-021-09682-1
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|