无功能胰腺神经内分泌肿瘤

Kok Haw Jonathan Lim, J. Valle, W. Mansoor
{"title":"无功能胰腺神经内分泌肿瘤","authors":"Kok Haw Jonathan Lim, J. Valle, W. Mansoor","doi":"10.1093/med/9780198870197.003.0110","DOIUrl":null,"url":null,"abstract":"This chapter will focus on neuroendocrine tumours (NETs) of the lung and pancreas (panNETs) (non-functioning) summarizing the current understanding, diagnosis, and management recommendations of these two subgroups NETs (functioning panNETs and other NET subtypes will be covered separately in subsequent chapters). Lung NETs are the most common subtype of NETs outside the gastroenteropancreatic (GEP) axis, and there has been an alarming rise in its incidence in recent years. Lung NETs are categorized into well-differentiated typical carcinoid (TC), well-differentiated atypical carcinoid (AC), poorly differentiated small cell lung carcinoma (SCLC) and poorly differentiated large cell neuroendocrine carcinoma (LCNEC); which has a significant implication on the treatment recommended. Meanwhile panNETs are classified morphologically into well-differentiated NETs (grades 1-3) and poorly differentiated NECs (grade 3). The majority of lung NETs and panNETs are non-functioning by virtue of absence of carcinoid syndrome and lack of positive serum neuroendocrine biomarkers. In both, histopathological, biochemical, and complete radiological work-up including the use of nuclear medicine imaging are pivotal in confirming the diagnosis. The last decade has witnessed rapid advances in systemic treatment options available for both lung NETs and panNETs with the advent of somatostatin analogues (SSAs), various targeted therapies, and chemotherapy; and also liver-directed therapies and other nuclear medicine ‘theranostics’. In view of the heterogeneity in NETs, each patient’s treatment pathway should be personalized, and it is recommended for all subtypes of NETs to be managed in high-volume centres in close partnership with a specialized multidisciplinary team.","PeriodicalId":130301,"journal":{"name":"Oxford Textbook of Endocrinology and Diabetes 3e","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Non-Functioning Pancreatic Neuroendocrine Tumours\",\"authors\":\"Kok Haw Jonathan Lim, J. Valle, W. Mansoor\",\"doi\":\"10.1093/med/9780198870197.003.0110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This chapter will focus on neuroendocrine tumours (NETs) of the lung and pancreas (panNETs) (non-functioning) summarizing the current understanding, diagnosis, and management recommendations of these two subgroups NETs (functioning panNETs and other NET subtypes will be covered separately in subsequent chapters). Lung NETs are the most common subtype of NETs outside the gastroenteropancreatic (GEP) axis, and there has been an alarming rise in its incidence in recent years. Lung NETs are categorized into well-differentiated typical carcinoid (TC), well-differentiated atypical carcinoid (AC), poorly differentiated small cell lung carcinoma (SCLC) and poorly differentiated large cell neuroendocrine carcinoma (LCNEC); which has a significant implication on the treatment recommended. Meanwhile panNETs are classified morphologically into well-differentiated NETs (grades 1-3) and poorly differentiated NECs (grade 3). The majority of lung NETs and panNETs are non-functioning by virtue of absence of carcinoid syndrome and lack of positive serum neuroendocrine biomarkers. In both, histopathological, biochemical, and complete radiological work-up including the use of nuclear medicine imaging are pivotal in confirming the diagnosis. The last decade has witnessed rapid advances in systemic treatment options available for both lung NETs and panNETs with the advent of somatostatin analogues (SSAs), various targeted therapies, and chemotherapy; and also liver-directed therapies and other nuclear medicine ‘theranostics’. In view of the heterogeneity in NETs, each patient’s treatment pathway should be personalized, and it is recommended for all subtypes of NETs to be managed in high-volume centres in close partnership with a specialized multidisciplinary team.\",\"PeriodicalId\":130301,\"journal\":{\"name\":\"Oxford Textbook of Endocrinology and Diabetes 3e\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oxford Textbook of Endocrinology and Diabetes 3e\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/med/9780198870197.003.0110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oxford Textbook of Endocrinology and Diabetes 3e","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/med/9780198870197.003.0110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本章将重点介绍肺和胰腺的神经内分泌肿瘤(NETs)(无功能),总结目前对这两个亚型NETs(功能性panNETs和其他亚型NET将在后续章节中分别介绍)的理解、诊断和管理建议。肺NETs是胃肠胰(GEP)轴外最常见的NETs亚型,近年来其发病率有惊人的上升。肺NETs分为高分化典型类癌(TC)、高分化非典型类癌(AC)、低分化小细胞肺癌(SCLC)和低分化大细胞神经内分泌癌(LCNEC);这对推荐的治疗方法有重要的影响。同时,panNETs在形态学上分为高分化的NETs(1-3级)和低分化的nec(3级)。由于没有类癌综合征和缺乏阳性的血清神经内分泌生物标志物,大多数肺NETs和panNETs无功能。在这两种情况下,组织病理学,生化和完整的放射检查包括核医学成像的使用是确诊的关键。过去十年,随着生长抑素类似物(SSAs)、各种靶向治疗和化疗的出现,肺部NETs和panNETs的全身治疗选择迅速发展;还有肝脏导向疗法和其他核医学“治疗学”。鉴于NETs的异质性,每个患者的治疗途径应个性化,建议所有亚型的NETs在与专业多学科团队密切合作的大容量中心进行管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-Functioning Pancreatic Neuroendocrine Tumours
This chapter will focus on neuroendocrine tumours (NETs) of the lung and pancreas (panNETs) (non-functioning) summarizing the current understanding, diagnosis, and management recommendations of these two subgroups NETs (functioning panNETs and other NET subtypes will be covered separately in subsequent chapters). Lung NETs are the most common subtype of NETs outside the gastroenteropancreatic (GEP) axis, and there has been an alarming rise in its incidence in recent years. Lung NETs are categorized into well-differentiated typical carcinoid (TC), well-differentiated atypical carcinoid (AC), poorly differentiated small cell lung carcinoma (SCLC) and poorly differentiated large cell neuroendocrine carcinoma (LCNEC); which has a significant implication on the treatment recommended. Meanwhile panNETs are classified morphologically into well-differentiated NETs (grades 1-3) and poorly differentiated NECs (grade 3). The majority of lung NETs and panNETs are non-functioning by virtue of absence of carcinoid syndrome and lack of positive serum neuroendocrine biomarkers. In both, histopathological, biochemical, and complete radiological work-up including the use of nuclear medicine imaging are pivotal in confirming the diagnosis. The last decade has witnessed rapid advances in systemic treatment options available for both lung NETs and panNETs with the advent of somatostatin analogues (SSAs), various targeted therapies, and chemotherapy; and also liver-directed therapies and other nuclear medicine ‘theranostics’. In view of the heterogeneity in NETs, each patient’s treatment pathway should be personalized, and it is recommended for all subtypes of NETs to be managed in high-volume centres in close partnership with a specialized multidisciplinary team.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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