Transcription factor-based classification of pituitary adenomas / PitNETs: a comparative analysis and clinical implications across WHO 2004, 2017 and 2022 in 921 cases.

IF 5.7 2区 医学 Q1 NEUROSCIENCES
Isabella Nasi-Kordhishti, Mirko Hladik, Kosmas Kandilaris, Felix Behling, Jürgen Honegger, Jens Schittenhelm
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Abstract

The WHO classifications of 2017 and 2022 recommend the use of pituitary transcription factors PIT-1, T-PIT and SF-1 as well as GATA3 and ERα for histopathological diagnosis. The aim of this study is to demonstrate their diagnostic impact in a large retrospective cohort. 921 PitNETs/PAs diagnosed in our department between October 2004 and April 2018 were retrospectively reassessed according to the WHO classifications 2017 and 2022. The original classification (WHO 2004) and the clinical data were retrieved from the patient records. Hormone-immunonegative null cell adenomas represented the largest subgroup (397 of 921) in the WHO 2004 classification. Of these, 377 were reclassified as gonadotroph PitNETs/PAs, and 14 were assigned to a non-gonadotroph hormone-producing cell line. Only 6 cases remained null cell tumors. 27 of 35 plurihormonal adenomas were assigned to a specific cell line in the 2017 and 2022 WHO classifications. Of 489 adenomas formerly classified as expressing of 1 or 2 hormones, the histopathological diagnosis was confirmed in 459 cases with the use of TP. Of the remaining 30 cases, 12 cases with positive immunostaining of 2 hormones could be assigned to a single cell line, and 18 cases changed their lineage. The correct correlation with clinical data significantly improved from 75.4% (WHO 2004) to 96.2% (WHO 2017 and 2022). Corticotroph PitNETs showed the highest risk for recurrence (21.9%) and progression (55.8%). The new classification enables more accurate (sub)classification and significantly improves clinicopathological correlation. In individual cases, it is essential to consider the reclassification to predict the clinical prognosis and to schedule the follow-up accordingly.

基于转录因子的垂体腺瘤/ PitNETs分类:WHO 2004年、2017年和2022年921例病例的比较分析和临床意义
世卫组织2017年和2022年的分类建议使用垂体转录因子PIT-1、T-PIT和SF-1以及GATA3和ERα进行组织病理学诊断。本研究的目的是在一个大型回顾性队列中证明它们的诊断影响。根据世界卫生组织2017年和2022年的分类对2004年10月至2018年4月期间在我科诊断的921例PitNETs/PAs进行回顾性重新评估。原始分类(WHO 2004年)和临床数据从患者记录中检索。在WHO 2004年的分类中,激素免疫阴性的零细胞腺瘤是最大的亚组(921例中的397例)。其中,377个被重新分类为促性腺激素PitNETs/PAs, 14个被分配到非促性腺激素产生细胞系。仅6例为零细胞瘤。在2017年和2022年世卫组织分类中,35例多激素腺瘤中有27例被分配到特定细胞系。在489例原分类为1或2种激素表达的腺瘤中,459例使用TP证实了组织病理学诊断。其余30例中,2种激素免疫染色阳性的12例可归属于单一细胞系,18例改变了细胞系。与临床数据的正确相关性从75.4% (WHO 2004年)显著提高到96.2% (WHO 2017年和2022年)。皮质营养不良PitNETs复发(21.9%)和进展(55.8%)的风险最高。新的分类使更准确的(亚)分类和显著提高临床病理相关性。在个别病例中,有必要考虑重分类,以预测临床预后,并据此安排随访。
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来源期刊
Acta Neuropathologica Communications
Acta Neuropathologica Communications Medicine-Pathology and Forensic Medicine
CiteScore
11.20
自引率
2.80%
发文量
162
审稿时长
8 weeks
期刊介绍: "Acta Neuropathologica Communications (ANC)" is a peer-reviewed journal that specializes in the rapid publication of research articles focused on the mechanisms underlying neurological diseases. The journal emphasizes the use of molecular, cellular, and morphological techniques applied to experimental or human tissues to investigate the pathogenesis of neurological disorders. ANC is committed to a fast-track publication process, aiming to publish accepted manuscripts within two months of submission. This expedited timeline is designed to ensure that the latest findings in neuroscience and pathology are disseminated quickly to the scientific community, fostering rapid advancements in the field of neurology and neuroscience. The journal's focus on cutting-edge research and its swift publication schedule make it a valuable resource for researchers, clinicians, and other professionals interested in the study and treatment of neurological conditions.
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