Department of Medicine, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Department of Anatomical Pathology, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China.
Front Endocrinol (Lausanne). 2024 May 2;15:1368944. doi: 10.3389/fendo.2024.1368944. eCollection 2024.
The 2022 World Health Organization (WHO) classification of pituitary neuroendocrine tumour (PitNET) supersedes the previous one in 2017 and further consolidates the role of transcription factors (TF) in the diagnosis of PitNET. Here, we investigated the clinical utility of the 2022 WHO classification, as compared to that of 2017, in a cohort of patients with non-functioning PitNET (NF-PitNET).
A total of 113 NF-PitNET patients who underwent resection between 2010 and 2021, and had follow-up at Queen Mary Hospital, Hong Kong, were recruited. Surgical specimens were re-stained for the three TF: steroidogenic factor (SF-1), T-box family member TBX19 (TPIT) and POU class 1 homeobox 1 (Pit-1). The associations of different NF-PitNET subtypes with tumour-related outcomes were evaluated by logistic and Cox regression analyses.
Based on the 2022 WHO classification, the majority of NF-PitNET was SF-1-lineage tumours (58.4%), followed by TPIT-lineage tumours (18.6%), tumours with no distinct lineage (16.8%) and Pit-1-lineage tumours (6.2%). Despite fewer entities than the 2017 classification, significant differences in disease-free survival were present amongst these four subtypes (Log-rank test p=0.003), specifically between SF-1-lineage PitNET and PitNET without distinct lineage (Log-rank test p<0.001). In multivariable Cox regression analysis, the subtype of PitNET without distinct lineage (HR 3.02, 95% CI 1.28-7.16, p=0.012), together with tumour volume (HR 1.04, 95% CI 1.01-1.07, p=0.017), were independent predictors of a composite of residual or recurrent disease.
The 2022 WHO classification of PitNET is a clinically useful TF and lineage-based system for subtyping NF-PitNET with different tumour behaviour and prognosis.
2022 年世界卫生组织(WHO)的垂体神经内分泌肿瘤(PitNET)分类取代了 2017 年的分类,并进一步巩固了转录因子(TF)在 PitNET 诊断中的作用。在这里,我们研究了 2022 年 WHO 分类与 2017 年分类相比在非功能性 PitNET(NF-PitNET)患者中的临床应用。
共招募了 2010 年至 2021 年间在香港玛丽医院接受手术切除并随访的 113 例 NF-PitNET 患者。对三种 TF:类固醇生成因子(SF-1)、T 盒家族成员 TBX19(TPIT)和 POU 类 1 同源框 1(Pit-1)重新染色手术标本。通过逻辑回归和 Cox 回归分析评估不同 NF-PitNET 亚型与肿瘤相关结局的关系。
根据 2022 年 WHO 分类,大多数 NF-PitNET 是 SF-1 谱系肿瘤(58.4%),其次是 TPIT 谱系肿瘤(18.6%)、无明显谱系的肿瘤(16.8%)和 Pit-1 谱系肿瘤(6.2%)。尽管比 2017 年分类的实体少,但这四种亚型之间的无病生存率存在显著差异(Log-rank 检验 p=0.003),特别是 SF-1 谱系 PitNET 与无明显谱系的 PitNET 之间(Log-rank 检验 p<0.001)。在多变量 Cox 回归分析中,无明显谱系的 PitNET 亚型(HR 3.02,95%CI 1.28-7.16,p=0.012)和肿瘤体积(HR 1.04,95%CI 1.01-1.07,p=0.017)是残余或复发病灶综合指标的独立预测因素。
2022 年 WHO 的 PitNET 分类是一种基于 TF 和谱系的有用的分类系统,可用于对具有不同肿瘤行为和预后的 NF-PitNET 进行亚型分类。