以转录因子为基础的下垂体神经内分泌瘤分类:在第五个世卫组织时代的实用免疫组织化学算法,分子关联和诊断挑战
Nirmal Pandit1, Yahya Wehbeh1, Omar Itani1
1Laboratory of Pathology, Department of Basic and Clinical Sciences, University of Nicosia Medical School, Nicosia 2408, Cyprus.
International journal of molecular sciences
|March 14, 2026
概括
世界卫生组织对垂体神经内分泌瘤 (PitNETs) 的第五版分类现在使用转录因子 (TFs) 进行基于血统的诊断. 这种方法可以改善亚型,识别高风险瘤,并指导个性化治疗.
科学领域:
- 内分泌学 在内分泌学.
- 神经瘤学神经瘤学
- 病理学 病理学 病理学
背景情况:
- 下垂体神经内分泌瘤 (PitNETs) 在历史上被按激素过量和染色特性分类.
- 世界卫生组织第五版分类转向使用转录因子 (TF) 的基于血统的分类学.
研究的目的:
- 在PitNET分类中审查核心TF (PIT1,TPIT,SF1) 的生物基础和诊断实用性.
- 突出基于TF的亚型比传统的荷尔蒙免疫反应活性更有优势.
主要方法:
- 专注于转录因子表达 (PIT1,TPIT,SF1) 用于PitNET谱系的确定.
- 辅助标记物 (GATA3,ERα) 和分子相关物 (GNAS,USP8突变) 的整合.
- 讨论诊断挑战和新兴技术,如DNA甲基化分析和AI.
主要成果:
- 基于TF的分类允许精确地分类临床无功能的瘤,减少"无细胞"类别.
- 识别与侵袭性和复发相关的高风险PitNET基因型 (静态皮质,稀疏颗粒体,不成熟的PIT1血统).
- 为个性化治疗策略提供了一个框架.
结论:
- 基于TF的分类代表了PitNET诊断和管理中的范式转变.
- 这种方法提高了诊断准确性,风险分层和针对PitNET的个性化治疗.
- 未来的方向包括解决诊断挑战,利用先进技术进行标准化报告和精度管理.
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