Goyal-Honavar Abhijit, Chacko Geeta
Department of Neurosurgery, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
Neuropathology, Department of Pathology, Christian Medical College, Vellore, India.
Brain Pathol. 2025 Jan;35(1):e13298. doi: 10.1111/bpa.13298. Epub 2024 Aug 25.
The evolution of classification systems of pituitary adenomas (now PitNETs) has culminated in the use of transcription factor (TF) immunohistochemistry (IHC), forming a cell lineage-based system. However, several issues remain to be addressed, including the additional financial and logistic burden of undertaking the complete array of anterior pituitary hormones and TF IHC. To that end, several groups have suggested algorithms to minimise the number of tests performed, with varying levels of diagnostic accuracy. Although the proportion of null cell tumours has decreased following the use of TFs, "multilineage" tumours have been reported and characterised using transcriptomic signatures, most prominently the PIT1-SF1 co-expressing PitNETs, which do not bear a position in the present system of classification. In this review, we examine the proposed practical approaches to the diagnosis of PitNETs. We review the literature on reported PitNET types that challenge the existing classification system, such as those that express multiple TFs, with their potential clinical implications. Finally, we assess limitations in the present system, such as the lack of a standardised system for IHC interpretation, that need to be addressed in the future.
垂体腺瘤(现称垂体神经内分泌肿瘤)分类系统的演变最终形成了基于转录因子(TF)免疫组织化学(IHC)的细胞谱系分类系统。然而,仍有几个问题有待解决,包括进行全套垂体前叶激素和TF IHC检测所带来的额外经济和后勤负担。为此,多个研究团队提出了一些算法,以尽量减少检测次数,但诊断准确性各不相同。尽管使用TF后无功能细胞瘤的比例有所下降,但仍有“多谱系”肿瘤被报道,并通过转录组特征进行了表征,其中最突出的是共表达PIT1和SF1的垂体神经内分泌肿瘤,它们在目前的分类系统中并无明确位置。在这篇综述中,我们探讨了垂体神经内分泌肿瘤诊断的实用方法。我们回顾了关于挑战现有分类系统的垂体神经内分泌肿瘤类型的文献,例如那些表达多种TF的肿瘤及其潜在的临床意义。最后,我们评估了当前系统的局限性,如缺乏用于IHC解读的标准化系统,这些问题未来有待解决。