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胰腺神经内分泌肿瘤的诊断和预后生物标志物

Diagnostic and prognostic biomarkers for pancreatic neuroendocrine neoplasms.

作者信息

Sonnen Andreas F-P, Verschuur Anna Vera D, Brosens Lodewijk A A

机构信息

Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.

出版信息

Pathologie (Heidelb). 2024 Nov;45(Suppl 1):74-82. doi: 10.1007/s00292-024-01393-8. Epub 2024 Nov 18.

Abstract

This review examines the diagnostic and prognostic biomarkers for pancreatic neuroendocrine neoplasms (PanNENs), a heterogeneous group of tumors with expression of neuroendocrine markers. PanNENs include both well-differentiated pancreatic neuroendocrine tumors (PanNETs) and poorly differentiated pancreatic neuroendocrine carcinomas (PanNECs). The diagnosis is confirmed through markers such as chromogranin A, synaptophysin, and INSM1, which establish neuroendocrine differentiation. The World Health Organization classification categorizes PanNENs based on tumor differentiation and proliferative activity (Ki-67 and/or mitotic index) into well-differentiated PanNETs (grade 1 to grade 3) and poorly differentiated PanNECs. In most cases, the morphology and proliferation index are sufficient to distinguish PanNETs from PanNECs. However, distinguishing grade 3 PanNETs from PanNECs can be challenging on the basis of morphology and proliferative activity alone. Additional key diagnostic markers for distinguishing grade 3 PanNET from PanNEC include SSTR2A expression and molecular immunohistochemical markers such as p53, Rb1, menin, ATRX, and DAXX. PanNECs are by definition high-grade tumors with highly aggressive clinical behavior, while PanNETs have a variable prognosis that is difficult to predict using current biomarkers such as tumor grade and size. Several studies have shown that ATRX or DAXX loss is strongly associated with a higher risk of PanNET metastasis and recurrence. They are therefore key prognostic markers in PanNETs. In addition, chromosomal copy number variations can further help assess PanNET aggressiveness and prognosis. Molecular profiling is increasingly important for improving the diagnosis, treatment, and prognosis of PanNENs.

摘要

本综述探讨了胰腺神经内分泌肿瘤(PanNENs)的诊断和预后生物标志物,这是一组具有神经内分泌标志物表达的异质性肿瘤。PanNENs包括高分化胰腺神经内分泌肿瘤(PanNETs)和低分化胰腺神经内分泌癌(PanNECs)。通过嗜铬粒蛋白A、突触素和INSM1等标志物确诊,这些标志物可确定神经内分泌分化。世界卫生组织分类根据肿瘤分化和增殖活性(Ki-67和/或有丝分裂指数)将PanNENs分为高分化PanNETs(1级至3级)和低分化PanNECs。在大多数情况下,形态学和增殖指数足以区分PanNETs和PanNECs。然而,仅根据形态学和增殖活性区分3级PanNETs和PanNECs可能具有挑战性。区分3级PanNET与PanNEC的其他关键诊断标志物包括SSTR2A表达以及p53、Rb1、Menin、ATRX和DAXX等分子免疫组化标志物。根据定义,PanNECs是具有高度侵袭性临床行为的高级别肿瘤,而PanNETs的预后各不相同,使用当前的生物标志物如肿瘤分级和大小难以预测。多项研究表明,ATRX或DAXX缺失与PanNET转移和复发的较高风险密切相关。因此,它们是PanNETs的关键预后标志物。此外,染色体拷贝数变异可进一步帮助评估PanNET的侵袭性和预后。分子谱分析对于改善PanNENs的诊断、治疗和预后越来越重要。

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