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Immunohistochemical Characterization of the Origins of Metastatic Well-differentiated Neuroendocrine Tumors to the Liver.

肝脏转移性高分化神经内分泌肿瘤来源的免疫组织化学特征

Yang Z,Klimstra DS,Hruban RH,Tang LH

Abstract

Metastatic neoplasms of unknown primary site pose a major challenge to patient management. As targeted therapies are now being tailored to neuroendocrine tumors (NETs) of different primary sites, identifying the origin of metastatic NETs has become increasingly important. Compared with more extensive efforts on metastatic adenocarcinomas of unknown primary, the literature on metastatic NETs (often to the liver) is relatively sparse and most studies are based on primary tumors. We sought to study metastatic well-differentiated NETs to the liver to identify markers that predict the site of origin. Eighty-five metastatic NETs to the liver were retrieved from the pathology archive. The primary sites were determined based on either pathologic review of the primary tumors (in most cases) or radiologic/clinical findings. Immunohistochemical labeling for TTF1, CDX2, ISL1, NKX2.2, and PDX1 was performed on either tissue microarrays or whole sections. The primary sites of the NETs in the study cohort included: pancreas (35%), small intestine (32%), rectum (8%), stomach (2%), bile duct (1%), lung (9%), and unknown primary (12%). We found predominant expression of TTF1 in lung carcinoid (63%), CDX2 in small intestinal (89%) and ISL1 in pancreatic NETs (77%), respectively. NKX2.2 was mainly expressed in NETs of the digestive organs. PDX1 was detected in a small percentage of pancreatic, small intestinal and the single bile duct NET. There was no statistically significant association between tumor grade (World Health Organization G1 vs. G2) and the expression of any of the above markers. The 3-marker panel (TTF1, CDX2, and ISL1) had sensitivities of 81%, 89%, and 63%, specificities of 100%, 94%, and 100%, positive predictive values of 100%, 89%, and 100%, and negative predictive values of 84%, 94%, and 96% in separating metastatic NETs into 3 major primary sites: pancreas/rectum, small intestine, and lung, respectively, with an overall accuracy of 82%. Furthermore, this panel predicted a primary site for 6 of the 10 NETs of unknown primary, which reduced the NETs of unknown primary from 12% to 5%. Thus, through immunohistochemical study of a large series of metastatic NETs to the liver, we have demonstrated the utility of a 3-marker panel for the identification of one or more potential primary sites of most metastatic NETs, which could provide practical guidance in patient management.

摘要

原发灶未知的转移性肿瘤对患者的治疗带来了极大挑战。由于靶向治疗是针对不同原发灶的神经内分泌肿瘤(NETs),故确定转移性NETs的来源就变得极其重要。与未知原发灶的转移性腺癌方面的大量工作相比,关于转移性NETs(常常是转移到肝脏)的文献相对比较少,并且大多数研究都是基于原发性肿瘤。我们旨在研究转移到肝脏的高分化NETs,并确定可预测来源的标记物。85例肝脏的转移性NETs进行了病理回顾性分析。原发灶的最后确定是基于原发肿瘤的病理回顾性分析(大多数病例),或影像学及临床的证据。在组织芯片或整块切片上进行TTF1、CDX2、ISL1、NKX2.2和PDX1 免疫组织化学标记。研究中NETs的原发灶如下所示:胰腺(35%)、小肠(32%)、直肠(8%)、胃(2%)、胆管(1%)、肺(9%)以及未知来源(12%)。我们发现TTF-1在肺类癌(63%),CDX-2在小肠(89%)和ISL1在胰腺NETs(77%)中多见表达。NKX2.2主要在消化系统的NETs表达。小部分的胰腺和小肠NETs中检测到PDX1,胆管NET只检测到PDX1。肿瘤分级(WHO分级 G1和G2)和上述标记物的表达无显著统计学意义。3项标记物套餐(TTF1、CDX2和ISL1)可将转移性NETs分为3组主要的原发灶:胰腺/直肠,小肠和肺,TTF1、CDX2和ISL1标记物对于相应组的敏感性分别为81%、89%和63%,特异性为100%、94%和100%,阳性预测价值为100%、89%和100%,阴性预测价值为84%、94%和96%,总体准确度为82%。并且该套餐可预测出10个未知来源NETs中的6个原发灶,将未知来源的NETs的比例从12%降低到5%。因此,通过对大批肝脏转移性NETs的免疫组织化学研究,我们已经证明了3项标记物套餐对于确定大多数转移性NETs一个或多个潜在原发灶的实用性,这可以为患者的管理提供实际的指导。






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