Klöppel Günter, Rindi Guido, Anlauf Martin, Perren Aurel, Komminoth Paul
Department of Pathology, University of Kiel, Michaelisstr. 11, 24105, Kiel, Germany.
Virchows Arch. 2007 Aug;451 Suppl 1:S9-27. doi: 10.1007/s00428-007-0461-0. Epub 2007 Aug 8.
The gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are composed of cells with a neuroendocrine phenotype. Well-differentiated tumors, well-differentiated carcinomas, poorly differentiated carcinomas, functioning tumors (with a hormonal syndrome), and nonfunctioning tumors are identified. To predict their clinical behavior, these neuroendocrine tumors are classified on the basis of their clinicopathological features, including size, local invasion, angioinvasion, proliferative activity, histological differentiation, and metastases, into neoplasms with benign, uncertain, low-grade malignant and high-grade malignant behavior. In addition, a tumor/nodes/metastases classification and a grading system are presented. In the light of these criteria, the various GEP-NET entities are reviewed.
胃肠胰神经内分泌肿瘤(GEP-NETs)由具有神经内分泌表型的细胞组成。可识别出高分化肿瘤、高分化癌、低分化癌、功能性肿瘤(伴有激素综合征)和无功能性肿瘤。为了预测其临床行为,这些神经内分泌肿瘤根据其临床病理特征,包括大小、局部侵犯、血管侵犯、增殖活性、组织学分化和转移情况,分为具有良性、不确定、低级别恶性和高级别恶性行为的肿瘤。此外,还介绍了一种肿瘤/淋巴结/转移(TNM)分类和分级系统。根据这些标准,对各种GEP-NET实体进行了综述。