An analysis of 130 neuroendocrine tumors G3 regarding prevalence, origin, metastasis, and diagnostic features

Author:

Kasajima AtsukoORCID,Konukiewitz Björn,Schlitter Anna Melissa,Weichert Wilko,Klöppel Günter

Abstract

AbstractLimited data exist on high-grade neuroendocrine tumors (NETs G3) which represent a new category among neuroendocrine neoplasms (NEN). We analyzed NETs G3 in a consultation series regarding prevalence, origin, metastasis, and diagnostic problems. Based on the WHO classification of digestive system tumors, 130 NETs G3 (9%) were identified in 1513 NENs. NET G3 samples were more often obtained from metastatic sites (69%) than NET G1/G2 samples (24%). NET G3 metastases presented most frequently in the liver (74%) and originated from the pancreas (38/90, 42%), followed by the lung (9%), ileum (7%), stomach (3%), rectum (1%), and rare sites (2%) such as the prostate and breast. The primaries remained unknown in 15%. NETs G3 had a median Ki67 of 30% that distinguished them from NECs (60%), though with great overlap. The expression of site-specific markers, p53, Rb1, and SST2 was similar in NETs G3 and NETs G1/G2, except for p53 and Rb1 which were abnormally expressed in 8% and 7% of liver metastases from NET G3 but not from NET G1/G2. NETs G3 were frequently referred as NECs (39%) but could be well distinguished from NECs by normal p53 (92% versus 21%) and Rb1 expression (93% versus 41%) expression. In conclusion, NETs G3 are frequently discovered as liver metastases from pancreatic or pulmonary primaries and are often misinterpreted as NEC. p53 and Rb1 are powerful markers in the distinction of NET G3 from NEC. Rarely, carcinomas from non-digestive, non-pulmonary organs with neuroendocrine features may present as NET G3.

Funder

manfred-stolte research funding

Technische Universität München

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,General Medicine,Pathology and Forensic Medicine

Reference40 articles.

1. Klöppel G, Couvelard A, Hruban R, Klimstra D, Komminoth P, Osamura RY, Perren A, Rindi G (2017) Neuroendocrine neoplasms of the pancreas. In: Lloyd RV, Osamura RY, Klöppel G, Rosai J (eds) WHO classification of Tumours of Endocrine Organs, 4th edn. IARC Press, Lyon, pp 210–239

2. Klimstra D, Klöppel G, La Rosa Salas B, Rindi G (2019) Classification of neuroendocrine neoplasms of the digestive system. In: Board TWCoTE (ed) WHO Classification of Tumours. Digestive System Tumours., 5.edn. IARC Press, Lyon, pp. 16–21

3. Uccella S, La Rosa S, Metovic J, Marchiori D, Scoazec JY, Volante M, Mete O, Papotti M (2021) Genomics of high-grade neuroendocrine neoplasms: well-differentiated neuroendocrine tumor with high-grade features (G3 NET) and neuroendocrine carcinomas (NEC) of various anatomic sites. Endocr Pathol 32:192–210. https://doi.org/10.1007/s12022-020-09660-z

4. Tang LH (2020) Pancreatic neuroendocrine neoplasms: landscape and horizon. Arch Pathol Lab Med 144:816–828. https://doi.org/10.5858/arpa.2019-0654-RA

5. Oka N, Kasajima A, Konukiewitz B, Sakurada A, Okada Y, Kameya T, Weichert W, Ishikawa Y, Suzuki H, Sasano H, Klöppel G (2020) Classification and prognostic stratification of bronchopulmonary neuroendocrine neoplasms. Neuroendocrinology 110:393–403. https://doi.org/10.1159/000502776

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3