Diagnostic and prognostic biomarkers for pancreatic neuroendocrine neoplasms.

Andreas F-P Sonnen, Anna Vera D Verschuur, Lodewijk A A Brosens
{"title":"Diagnostic and prognostic biomarkers for pancreatic neuroendocrine neoplasms.","authors":"Andreas F-P Sonnen, Anna Vera D Verschuur, Lodewijk A A Brosens","doi":"10.1007/s00292-024-01393-8","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pathologie (Heidelberg, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00292-024-01393-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.

胰腺神经内分泌肿瘤的诊断和预后生物标志物。
胰腺神经内分泌肿瘤(PanNENs)是一类表达神经内分泌标志物的异质性肿瘤,本综述探讨了胰腺神经内分泌肿瘤的诊断和预后生物标志物。胰腺神经内分泌肿瘤包括分化良好的胰腺神经内分泌肿瘤(PanNET)和分化不良的胰腺神经内分泌癌(PanNEC)。诊断可通过嗜铬粒蛋白 A、突触素和 INSM1 等标记物进行确诊,这些标记物可确定神经内分泌分化。世界卫生组织根据肿瘤分化和增殖活性(Ki-67 和/或有丝分裂指数)将 PanNENs 分为分化良好的 PanNETs(1 至 3 级)和分化不良的 PanNECs。在大多数情况下,形态学和增殖指数足以区分 PanNET 和 PanNEC。然而,仅凭形态学和增殖活性来区分3级PanNET和PanNECs可能具有挑战性。区分 3 级 PanNET 和 PanNEC 的其他关键诊断标志物包括 SSTR2A 表达和分子免疫组化标志物,如 p53、Rb1、menin、ATRX 和 DAXX。根据定义,PanNECs 是具有高度侵袭性临床表现的高级别肿瘤,而 PanNETs 的预后不一,很难通过肿瘤分级和大小等现有生物标志物进行预测。多项研究表明,ATRX 或 DAXX 缺失与 PanNET 转移和复发风险较高密切相关。因此,它们是 PanNET 的关键预后标志物。此外,染色体拷贝数变异也有助于评估 PanNET 的侵袭性和预后。分子图谱分析对于改善 PanNET 的诊断、治疗和预后越来越重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信