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基于转移潜能定义胃神经内分泌肿瘤分化良好的预后参数:一项两中心经验。

Defining prognostic parameters of well-differentiated gastric neuroendocrine tumors based on metastatic potential: a two-center experience.

机构信息

Department of Pathology, Hacettepe University, Faculty of Medicine, Ankara, Turkey.

Department of Pathology, University of Health Sciences, Ankara City Hospital, Ankara, Turkey.

出版信息

Acta Gastroenterol Belg. 2022 Apr-Jun;85(2):339-345. doi: 10.51821/85.2.8601.

DOI:10.51821/85.2.8601
PMID:35709778
Abstract

BACKGROUND

Gastric neuroendocrine tumors [gNETs] are heterogeneous tumors and we are still unable to predict the behavior of these tumors. We aim to define the prognostic parameters of well-differentiated gNETs based on metastatic potential and to evaluate the current classification systems.

PATIENTS AND METHODS

We retrospectively retrieved 44 well differentiated gNET cases who underwent radical surgery between 2000-2015 at two tertiary-care centers.

RESULTS

Among the 44 well-differentiated gNET patients, 17 (38%) patients had metastatic disease to lymph nodes and/or distant sites, while 27 (62%) were confined to the stomach. Higher risk of metastasis was observed with increasing tumor size, grade, depth of invasion and with type-3 and solitary tumors. 30 (68%) patients had type-1 gNET and 14 (32%) had type-3 gNET. Majority of the type-1 cases (76,6%) were Grade 1 [G1] and type-3 cases (78,5%) were Grade 3 [G3]. Type-1 subgroup had no G3 tumor, and type-3 had no G1. Grade 2 [G2] tumors were more controversial, with metastatic and non-metastatic cases. G2 cases with a >10% Ki67 expression or type-3, had a worse prognosis. Although most of the type-1 gNETs had an indolent course, 6 of 30 (20%) patients had metastatic disease. Metastasizing type-1 gNETs were >10 mm in diameter or extended to/beyond the submucosa.

CONCLUSION

Regarding our results, tumor type, grade, size, focality and depth of invasion are the prognostic parameters for gNETs, based on metastatic potential. Besides these parameters, a two-tiered grading system with a 10% Ki-67 proliferation index cut-off value could be considered for right treatment choice.

摘要

背景

胃神经内分泌肿瘤(gNET)是一种异质性肿瘤,我们仍然无法预测这些肿瘤的行为。我们旨在根据转移潜能定义分化良好的 gNET 的预后参数,并评估当前的分类系统。

患者和方法

我们回顾性地检索了 2000 年至 2015 年间在两个三级护理中心接受根治性手术的 44 例分化良好的 gNET 患者。

结果

在 44 例分化良好的 gNET 患者中,17 例(38%)患者有淋巴结和/或远处转移的转移性疾病,而 27 例(62%)局限于胃。肿瘤大小、分级、浸润深度增加,以及 3 型和单发肿瘤与更高的转移风险相关。30 例(68%)患者为 1 型 gNET,14 例(32%)为 3 型 gNET。大多数 1 型病例(76.6%)为 G1,3 型病例(78.5%)为 G3。1 型亚组无 G3 肿瘤,3 型无 G1 肿瘤。G2 肿瘤存在争议,有转移和非转移病例。Ki67 表达>10%或 3 型的 G2 病例预后较差。虽然大多数 1 型 gNET 表现为惰性病程,但 30 例中有 6 例(20%)发生转移。转移的 1 型 gNET 直径>10mm 或延伸至/超出黏膜下层。

结论

根据我们的结果,肿瘤类型、分级、大小、局灶性和浸润深度是基于转移潜能的 gNET 预后参数。除了这些参数外,还可以考虑使用 Ki-67 增殖指数截断值为 10%的两级分级系统来进行正确的治疗选择。

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