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垂体神经内分泌肿瘤的分级与分期

Grading and staging for pituitary neuroendocrine tumors.

作者信息

Villa Chiara, Birtolo Maria Francesca, Perez-Rivas Luis Gustavo, Righi Alberto, Assie Guillaume, Baussart Bertrand, Asioli Sofia

机构信息

Department of Neuropathology, Hôpital Universitaire Pitié-Salpêtrière, APHP, Sorbonne Université, Paris, France.

Inserm U1016, CNRS UMR 8104, Institut Cochin, Université Paris Descartes-Université de Paris, Paris, France.

出版信息

Brain Pathol. 2025 Jan;35(1):e13299. doi: 10.1111/bpa.13299. Epub 2024 Aug 25.

DOI:10.1111/bpa.13299
PMID:39182993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11669418/
Abstract

Pituitary adenoma/pituitary neuroendocrine tumors (PitNETs) are the second most common primary intracranial tumor and the most frequent neuroendocrine tumors/neoplasms of the human body. Thus, they are one of the most frequent diagnoses in neuropathologist's practise. 2022 5th edition WHO Classification of Endocrine and Neuroendocrine Tumors does not support a grading and/or staging system for PitNETs and argues that histological typing and subtyping are more robust than proliferation rate and invasiveness to stratify tumors. Numerous studies suggest the existence of clinically relevant molecular subgroups encouraging an integrated histo-molecular approach to the diagnosis of PitNETs to deepen the understanding of their biology and overcome the unresolved problem of grading system. The present review illustrates the main issues involved in establishing a grading and a staging system, as well as alternative systems validated by independent series to date. The state of art of the current histological and molecular markers is detailed, demonstrating that a standardized and reproducible clinico-pathological approach, combined with the integration of molecular data may help build a workflow to refine the definition of PitNETs with 'malignant potential' and most importantly, avoid delay in patient treatment. Next molecular studied are needed to validate an integrated histo-molecular grading for PitNETs.

摘要

垂体腺瘤/垂体神经内分泌肿瘤(PitNETs)是第二常见的原发性颅内肿瘤,也是人体最常见的神经内分泌肿瘤。因此,它们是神经病理学家实践中最常见的诊断之一。2022年第5版《世界卫生组织内分泌和神经内分泌肿瘤分类》不支持PitNETs的分级和/或分期系统,并认为组织学分型和亚型比增殖率和侵袭性更能可靠地对肿瘤进行分层。大量研究表明存在临床相关的分子亚组,这鼓励采用综合组织学-分子方法来诊断PitNETs,以加深对其生物学的理解并克服分级系统未解决的问题。本综述阐述了建立分级和分期系统所涉及的主要问题,以及迄今为止经独立系列验证的替代系统。详细介绍了当前组织学和分子标志物的现状,表明标准化且可重复的临床病理方法,结合分子数据的整合,可能有助于构建一个工作流程,以完善对具有“恶性潜能”的PitNETs的定义,最重要的是,避免患者治疗延误。接下来需要进行分子研究,以验证PitNETs的综合组织学-分子分级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a11/11669418/ff3ba7f041ae/BPA-35-e13299-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a11/11669418/ff3ba7f041ae/BPA-35-e13299-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a11/11669418/ff3ba7f041ae/BPA-35-e13299-g001.jpg

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Virchows Arch. 2024 Sep;485(3):407-415. doi: 10.1007/s00428-024-03849-x. Epub 2024 Jun 22.
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Genome-wide loss of heterozygosity predicts aggressive, treatment-refractory behavior in pituitary neuroendocrine tumors.全基因组杂合性缺失预测垂体神经内分泌肿瘤侵袭性和治疗抵抗行为。
Acta Neuropathol. 2024 May 17;147(1):85. doi: 10.1007/s00401-024-02736-8.
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Relevance of mutations in protein deubiquitinases genes and in corticotroph pituitary tumors.
Brain Pathol. 2025 Jan;35(1):e13323. doi: 10.1111/bpa.13323. Epub 2024 Dec 1.
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A broader outlook is required to stage and classify pituitary neoplasms for patient care.需要更广阔的视野来对垂体肿瘤进行分期和分类,以照顾患者。
Brain Pathol. 2025 Jan;35(1):e13321. doi: 10.1111/bpa.13321. Epub 2024 Nov 23.
蛋白去泛素化酶基因突变与促肾上腺皮质激素垂体瘤的相关性。
Front Endocrinol (Lausanne). 2024 Feb 29;15:1302667. doi: 10.3389/fendo.2024.1302667. eCollection 2024.
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