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A clinicopathological study of non-functioning pituitary neuroendocrine tumours using the World Health Organization 2022 classification.
Woo, Chariene Shao-Lin; Ho, Ronnie Siu-Lun; Ho, Grace; Lau, Hoi-To; Fong, Carol Ho-Yi; Chang, Johnny Yau-Cheung; Leung, Eunice Ka-Hong; Tang, Lawrence Chi-Kin; Ma, Ivan Kwok-Ming; Lee, Alan Chun-Hong; Lui, David Tak-Wai; Woo, Yu-Cho; Chow, Wing-Sun; Leung, Gilberto Ka-Kit; Tan, Kathryn Choon-Beng; Lam, Karen Siu-Ling; Lee, Chi-Ho.
Afiliación
  • Woo CS; 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.
  • Ho RS; Department of Anatomical Pathology, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China.
  • Ho G; Department of Radiology, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China.
  • Lau HT; Department of Radiology, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China.
  • Fong CH; 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.
  • Chang JY; 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.
  • Leung EK; 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.
  • Tang LC; 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.
  • Ma IK; 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.
  • Lee AC; 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.
  • Lui DT; 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.
  • Woo YC; 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.
  • Chow WS; 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.
  • Leung GK; Department of Surgery, School of Clinical Medicine, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  • Tan KC; 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.
  • Lam KS; 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.
  • Lee CH; 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.
Front Endocrinol (Lausanne) ; 15: 1368944, 2024.
Article en En | MEDLINE | ID: mdl-38756997
ABSTRACT

Background:

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).

Methods:

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.

Results:

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.

Conclusion:

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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Hipofisarias / Organización Mundial de la Salud / Tumores Neuroendocrinos Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Front Endocrinol (Lausanne) Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Hipofisarias / Organización Mundial de la Salud / Tumores Neuroendocrinos Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Front Endocrinol (Lausanne) Año: 2024 Tipo del documento: Article País de afiliación: China