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支气管肺神经内分泌肿瘤的分类和预后分层。

Classification and Prognostic Stratification of Bronchopulmonary Neuroendocrine Neoplasms.

机构信息

Department of Pathology, Tohoku University Graduate School of Medicine, Sendai, Japan.

National Hospital Organization, Sendai Medical Center, Sendai, Japan.

出版信息

Neuroendocrinology. 2020;110(5):393-403. doi: 10.1159/000502776. Epub 2019 Aug 19.

Abstract

The accuracy and reproducibility of the World Health Organization (WHO) 2015 classification of bronchopulmonary neuroendocrine neoplasms (BP-NENs) is disputed. The aim of this study is to classify and grade BP-NENs using the WHO 2019 classification of digestive system NENs (DiS-NEN-WHO 2019), and to analyze its accuracy and prognostic impact. Two BP-NEN cohorts from Japan and Germany, 393 tumors (88% surgically resected), were reviewed and the clinicopathological data of the resected tumors (n = 301) correlated to patients' disease-free survival (DFS). The DiS-NEN-WHO 2019 stratified the 350 tumors into 91 (26%) neuroendocrine tumors (NET) G1, 52 (15%) NET G2, 15 (4%) NET G3, and 192 (55%) neuroendocrine carcinomas (NEC). NECs, but not NETs, were immunohistochemically characterized by abnormal p53 (100%) and retinoblastoma 1 (83%) expression. The Ki67 index, which was on average 4 times higher than mitotic count (p < 0.0001), was prognostically more accurate than the mitotic count. NET G3 patients had a worse outcome than NET G1 (p < 0.01) and NET G2 patients (p = 0.02), respectively. No prognostic difference was detected between NET G3 and NEC patients after 5 year DFS. It is concluded that stratifying BP-NEN patients according to the DiS-NEN-WHO 2019 classification results in 3 prognostically well-defined NET groups, if grading is solely based on Ki67 index. Mitotic count alone may underestimate malignant potential of NETs.

摘要

世界卫生组织(WHO)2015 年版支气管肺神经内分泌肿瘤(BP-NEN)分类的准确性和可重复性存在争议。本研究旨在使用 WHO 2019 年消化系统神经内分泌肿瘤(DiS-NEN-WHO 2019)分类对 BP-NEN 进行分类和分级,并分析其准确性和预后影响。对来自日本和德国的两个 BP-NEN 队列的 393 个肿瘤(88%为手术切除)进行了回顾性分析,并将切除肿瘤的临床病理数据(n=301)与患者无病生存(DFS)相关联。DiS-NEN-WHO 2019 将 350 个肿瘤分为 91 个(26%)神经内分泌肿瘤(NET)G1、52 个(15%)NET G2、15 个(4%)NET G3 和 192 个(55%)神经内分泌癌(NEC)。NECs,但不是 NETs,免疫组织化学特征为异常的 p53(100%)和视网膜母细胞瘤 1(83%)表达。Ki67 指数比有丝分裂计数平均高 4 倍(p<0.0001),比有丝分裂计数更能准确预测预后。NET G3 患者的预后比 NET G1(p<0.01)和 NET G2 患者(p=0.02)差。在 5 年 DFS 后,NET G3 和 NEC 患者之间未检测到预后差异。研究结论为,如果仅基于 Ki67 指数对 BP-NEN 患者进行分级,根据 DiS-NEN-WHO 2019 分类将患者分为 3 个预后明确的 NET 组。单独使用有丝分裂计数可能会低估 NET 的恶性潜能。

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