通过使用MIB1标记指数,VEGF表达和数字图像分析,探索垂体神经内分泌瘤 (Pit-NETs) 细胞及其血管源微环境之间的动态相互作用
Mihaela Cozma1,2, Anca Maria Cimpean3,4,5,6, Mihail Parnov1,2
1Department of Pathology, Nicolae Testemitanu State University of Medicine and Pharmacy, MD 2004 Chisinau, Moldova.
Current issues in molecular biology
|January 30, 2026
概括
pituitary 瘤 (PitNETs) 和内皮细胞的同时增殖与 VEGF 表达相关. 对MIB1和VEGF的数字分析有助于对特定的PitNET亚型进行风险分层.
科学领域:
- 内分泌学 在内分泌学.
- 病理学 病理学 病理学
- 数字病理学数字病理学
背景情况:
- pituitary神经内分泌瘤 (PitNETs) 和内皮细胞的同时扩散是 pituitary病理学中一个有争议的话题.
- 之前的研究还没有比较PitNETs中的MIB1标记指数 (MIB1 LI) 及其关于VEGF表达的树皮内皮体区.
研究的目的:
- 调查PitNETs中的MIB1 LI与树皮内皮细胞之间的关系.
- 评估双重增殖与VEGF蛋白和基因表达之间的联系.
- 通过数字图像分析 (DIA) 确定双重扩散是否特征特定的PitNET亚型.
主要方法:
- 用免疫组织化学分析了109个PitNET用于CD34 (内皮细胞) 和MIB1 (增殖).
- 通过免疫组织化学和RNA范围评估VEGF表达.
- 采用基于QuPath的DIA来量化MIB1在瘤和内皮细胞中的核表达.
主要成果:
- MIB1 LI显示与VEGF mRNA和蛋白质水平的相关性.
- 产卵蛋白分泌和非功能性PitNETs在树皮内皮细胞中表现出高的MIB1 LI.
- 在瘤细胞和内皮细胞中的MIB1 LI之间发现了显著的相关性 (p=0.01).
- 在瘤和内皮细胞中,VEGF和激素配置不同地影响了MIB1 LI.
- 瘤内皮细胞增殖相互作用是特异性的,以分泌益乳素和非功能PitNETs.
结论:
- 对MIB1和VEGF表达的数字分析为PitNET风险分层提供了一个潜在的方法.
- 瘤内皮细胞的增殖是特定的PitNET亚型的特征,即PRL分泌和非功能性腺瘤.
- 这项研究强调了DIA在评估脑垂体病理中的复杂细胞相互作用方面的实用性.
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