Subtyping of pancreatic neuroendocrine tumors by transcription factors, hormones, histology, and patient outcome.

Elisa Moser, Ayako Ura, Günter Klöppel, Atsuko Kasajima
{"title":"Subtyping of pancreatic neuroendocrine tumors by transcription factors, hormones, histology, and patient outcome.","authors":"Elisa Moser, Ayako Ura, Günter Klöppel, Atsuko Kasajima","doi":"10.1007/s00292-024-01367-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Pancreatic neuroendocrine tumors (PanNETs) show pronounced heterogeneity in terms of hormone and transcription factor (TF) expression. TFs such as ARX and PDX1 are related to alpha- and beta-cell-type features, respectively, and partly associate with patient outcome. However, detailed studies correlating hormone expression, histology, and clinical data are lacking.</p><p><strong>Objective: </strong>The aim of this study was to identify subtypes of PanNETs that associate with histological, hormonal, and prognostic findings.</p><p><strong>Methods: </strong>A total of 185 resected PanNETs were divided into five subtypes (types A1, A2, B, C, and D) by cluster analysis based on expression of four TFs (ARX, PDX1, ISL1, and CDX2) and correlated to the expression of hormones and DAXX/ATRX as well as ALT activation status, histology, and progression-free survival.</p><p><strong>Results: </strong>Subgroup A1 (ISL1+/ARX+/PDX-/CDX2-) was most frequent (46%), followed by type B (18%; ISL1+/ARX-/PDX+/CDX2-), A2 (15%; ISL1+/ARX+/PDX+/CDX2-), C (15%; ISL1-/ARX-/PDX-/CDX2-), and D (5%; ISL1-/ARX-/PDX+/CDX2+). Subgroups A1 and A2 showed a strong association with a trabecular growth pattern and glucagon and pancreatic polypeptide (PP) expression (p < 0.001), while A2 was in addition associated with gastrin expression. Subgroup B was associated with insulin production (p < 0.001) and included all 17 insulinomas. Subgroup C was associated with solid morphology and expression of serotonin, calcitonin, and adrenocorticotropic hormone (ACTH). Subgroup D showed solid morphology, expression of ACTH, somatostatin, or serotonin and had the shortest disease-free survival (p < 0.01). ALT positivity was associated with poorer outcome in types A1 and A2 but not in other types.</p><p><strong>Conclusion: </strong>PanNETs can be categorized into five subgroups based on different TF signatures, which associate strongly with histology, hormone production, functionality, and patient outcome.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-10-08","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/s00292-024-01367-w","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

Background: Pancreatic neuroendocrine tumors (PanNETs) show pronounced heterogeneity in terms of hormone and transcription factor (TF) expression. TFs such as ARX and PDX1 are related to alpha- and beta-cell-type features, respectively, and partly associate with patient outcome. However, detailed studies correlating hormone expression, histology, and clinical data are lacking.

Objective: The aim of this study was to identify subtypes of PanNETs that associate with histological, hormonal, and prognostic findings.

Methods: A total of 185 resected PanNETs were divided into five subtypes (types A1, A2, B, C, and D) by cluster analysis based on expression of four TFs (ARX, PDX1, ISL1, and CDX2) and correlated to the expression of hormones and DAXX/ATRX as well as ALT activation status, histology, and progression-free survival.

Results: Subgroup A1 (ISL1+/ARX+/PDX-/CDX2-) was most frequent (46%), followed by type B (18%; ISL1+/ARX-/PDX+/CDX2-), A2 (15%; ISL1+/ARX+/PDX+/CDX2-), C (15%; ISL1-/ARX-/PDX-/CDX2-), and D (5%; ISL1-/ARX-/PDX+/CDX2+). Subgroups A1 and A2 showed a strong association with a trabecular growth pattern and glucagon and pancreatic polypeptide (PP) expression (p < 0.001), while A2 was in addition associated with gastrin expression. Subgroup B was associated with insulin production (p < 0.001) and included all 17 insulinomas. Subgroup C was associated with solid morphology and expression of serotonin, calcitonin, and adrenocorticotropic hormone (ACTH). Subgroup D showed solid morphology, expression of ACTH, somatostatin, or serotonin and had the shortest disease-free survival (p < 0.01). ALT positivity was associated with poorer outcome in types A1 and A2 but not in other types.

Conclusion: PanNETs can be categorized into five subgroups based on different TF signatures, which associate strongly with histology, hormone production, functionality, and patient outcome.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过转录因子、激素、组织学和患者预后对胰腺神经内分泌肿瘤进行亚型分类。
背景:胰腺神经内分泌肿瘤(PanNETs)在激素和转录因子(TF)表达方面表现出明显的异质性。ARX和PDX1等转录因子分别与α细胞型和β细胞型特征有关,并与患者的预后有部分关联。然而,目前还缺乏将激素表达、组织学和临床数据相关联的详细研究:本研究旨在确定与组织学、激素和预后结果相关的 PanNETs 亚型:根据四种TFs(ARX、PDX1、ISL1和CDX2)的表达情况,通过聚类分析将185例切除的PanNET分为五种亚型(A1、A2、B、C和D型),并与激素和DAXX/ATRX的表达、ALT激活状态、组织学和无进展生存期相关联:结果:A1亚组(ISL1+/ARX+/PDX-/CDX2-)最常见(46%),其次是B组(18%;ISL1+/ARX-/PDX+/CDX2-)、A2组(15%;ISL1+/ARX+/PDX+/CDX2-)、C组(15%;ISL1-/ARX-/PDX-/CDX2-)和D组(5%;ISL1-/ARX-/PDX+/CDX2+)。A1 和 A2 亚组与小梁生长模式以及胰高血糖素和胰多肽(PP)的表达密切相关(P 结论):泛NET可根据不同的TF特征分为五个亚组,它们与组织学、激素分泌、功能和患者预后密切相关。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
[Molecular testing in mesenchymal neoplasms: What, when, and how to test? : A review with a special focus on the value of next-generation immunochemistry as a substitute for molecular testing]. [Ecological sustainability of deep learning in pathology : A modeling study]. Key considerations when implementing new diagnostic technologies in routine practice. Reconstructing 3D histological structures using machine learning (artificial intelligence) algorithms. [Microsatellite instability-What should be considered in routine examinations?]
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1