A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal.
A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal.
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DOI：
10.1038/s41379-018-0110-y
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发表时间：
2018-12
期刊：
影响因子：
--
通讯作者：
Cree IA
中科院分区：
文献类型：
--
作者：
Rindi G;Klimstra DS;Abedi-Ardekani B;Asa SL;Bosman FT;Brambilla E;Busam KJ;de Krijger RR;Dietel M;El-Naggar AK;Fernandez-Cuesta L;Klöppel G;McCluggage WG;Moch H;Ohgaki H;Rakha EA;Reed NS;Rous BA;Sasano H;Scarpa A;Scoazec JY;Travis WD;Tallini G;Trouillas J;van Krieken JH;Cree IA
神经内分泌肿瘤（NEN）的分类在器官系统之间存在差异，目前引起了相当大的混乱。任何解剖位置的NEN的统一分类框架可以减少目前使用的各种系统之间的不一致和矛盾。这里建议的分类旨在使病理学家和临床医生能够一致地管理他们的NEN患者，同时承认分类标准，肿瘤生物学和预后因素的器官特异性差异。建议的分类基于2017年11月在国际癌症研究机构（IARC）举行的共识会议以及随后与其他专家的讨论。新分类的关键特征是分化的神经内分泌肿瘤（NET）（在某些系统中也称为类癌肿瘤）和低分化的NEC之间的区别，因为它们都有共同的神经内分泌标志物表达。这种二分的形态学细分为NET和NEC的支持，在特定的解剖部位的遗传证据，以及临床，流行病学，组织学和预后的差异。在许多器官系统中，基于有丝分裂计数和/或Ki-67标记指数和/或坏死的存在，NET被分级为G1、G2或G3;根据定义，NEC被认为是高级别的。我们相信这种概念性的方法可以形成下一代NEN分类的基础，并将允许更一致的分类，以了解来自不同器官系统的肿瘤如何在临床和遗传上相互关联。
The classification of neuroendocrine neoplasms (NENs) differs between organ systems and currently causes considerable confusion. A uniform classification framework for NENs at any anatomical location may reduce inconsistencies and contradictions among the various systems currently in use. The classification suggested here is intended to allow pathologists and clinicians to manage their patients with NENs consistently, while acknowledging organ-specific differences in classification criteria, tumor biology, and prognostic factors. The classification suggested is based on a consensus conference held at the International Agency for Research on Cancer (IARC) in November 2017 and subsequent discussion with additional experts. The key feature of the new classification is a distinction between differentiated neuroendocrine tumors (NETs), also designated carcinoid tumors in some systems, and poorly differentiated NECs, as they both share common expression of neuroendocrine markers. This dichotomous morphological subdivision into NETs and NECs is supported by genetic evidence at specific anatomic sites as well as clinical, epidemiologic, histologic, and prognostic differences. In many organ systems, NETs are graded as G1, G2, or G3 based on mitotic count and/or Ki-67 labeling index, and/or the presence of necrosis; NECs are considered high grade by definition. We believe this conceptual approach can form the basis for the next generation of NEN classifications and will allow more consistent taxonomy to understand how neoplasms from different organ systems inter-relate clinically and genetically.
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影响因子：
16.6
作者：
Fernandez-Cuesta, Lynnette;Peifer, Martin;Lu, Xin;Sun, Ruping;Ozretic, Luka;Seidel, Danila;Zander, Thomas;Leenders, Frauke;George, Julie;Mueller, Christian;Dahmen, Ilona;Pinther, Berit;Bosco, Graziella;Konrad, Kathryn;Altmueller, Janine;Nuernberg, Peter;Achter, Viktor;Lang, Ulrich;Schneider, Peter M.;Bogus, Magdalena;Soltermann, Alex;Brustugun, Odd Terje;Helland, Aslaug;Solberg, Steinar;Lund-Iversen, Marius;Ansen, Sascha;Stoelben, Erich;Wright, Gavin M.;Russell, Prudence;Wainer, Zoe;Solomon, Benjamin;Field, John K.;Hyde, Russell;Davies, Michael P. A.;Heukamp, Lukas C.;Petersen, Iver;Perner, Sven;Lovly, Christine M.;Cappuzzo, Federico;Travis, William D.;Wolf, Juergen;Vingron, Martin;Brambilla, Elisabeth;Haas, Stefan A.;Buettner, Reinhard;Thomas, Roman K.
通讯作者：
Thomas, Roman K.
影响因子：
16.6
作者：
George J;Walter V;Peifer M;Alexandrov LB;Seidel D;Leenders F;Maas L;Müller C;Dahmen I;Delhomme TM;Ardin M;Leblay N;Byrnes G;Sun R;De Reynies A;McLeer-Florin A;Bosco G;Malchers F;Menon R;Altmüller J;Becker C;Nürnberg P;Achter V;Lang U;Schneider PM;Bogus M;Soloway MG;Wilkerson MD;Cun Y;McKay JD;Moro-Sibilot D;Brambilla CG;Lantuejoul S;Lemaitre N;Soltermann A;Weder W;Tischler V;Brustugun OT;Lund-Iversen M;Helland Å;Solberg S;Ansén S;Wright G;Solomon B;Roz L;Pastorino U;Petersen I;Clement JH;Sänger J;Wolf J;Vingron M;Zander T;Perner S;Travis WD;Haas SA;Olivier M;Foll M;Büttner R;Hayes DN;Brambilla E;Fernandez-Cuesta L;Thomas RK
通讯作者：
Thomas RK
影响因子：
3.9
作者：
Asa, S. L.;Casar-Borota, O.;Trouillas, J.
通讯作者：
Trouillas, J.
影响因子：
3.5
作者：
Aslan, DL;Gulbahce, HE;Jessurun, J
通讯作者：
Jessurun, J
影响因子：
5.6
作者：
Basturk, Olca;Tang, Laura;Klimstra, David S.
通讯作者：
Klimstra, David S.