Department of Oncology, Pathology Unit, University of Turin, Turin, Italy.
Candiolo Cancer Institute, Pathology Division, FPO-IRCCS, Candiolo, Italy.
Virchows Arch. 2022 Dec;481(6):839-846. doi: 10.1007/s00428-022-03426-0. Epub 2022 Oct 15.
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.
乳腺神经内分泌肿瘤(Br-NENs)的分类多年来经历了多次修改,目前仍存在争议。本研究旨在评估最新的 2019 年版 WHO 乳腺肿瘤分类(包括神经内分泌肿瘤(NETs)和神经内分泌癌(NECs))对乳腺肿瘤分类的诊断可重复性和对患者预后的影响。这项多中心观察性研究纳入了 287 例具有神经内分泌分化的乳腺肿瘤。这些病例由三组专注于乳腺和/或内分泌病理的独立专家根据 2019 年指南进行盲法分类。评估了诊断的一致性和临床影响。我们仅观察到三个中心之间整体诊断一致性中等(Cohen's kappa 0.4532),能够区分 NET 与实体性乳头状癌(SPC)和具有神经内分泌分化的非特殊型癌(NST)。287 例中诊断为 Br-NENs 的有 122 例(42.5%),进一步分为 11 例 NET G1(3.8%)、84 例 NET G2(29.3%)和 27 例 NEC(9.4%),后者包括 26 例大细胞 NEC 和 1 例小细胞 NEC。剩余的 165 例(57.5%)为非-NEN,包括 SPC、黏液性、NST 和混合性神经内分泌癌。虽然 NET 和非-NEN 病例的预后相似,但与 NET 和非-NEN 相比,NEC 的诊断对无病间隔有负面影响(p=0.0109)。总之,目前 Br-NENs 的诊断分类需要进一步调整形态学和免疫组织化学标准,以提高病理学家之间的诊断重复性。我们的数据表明,除了高级别的小细胞和大细胞 NEC 外,Br-NENs 的行为与非-NEN 乳腺癌相似,应采用类似的治疗方法。