Delineating the Spectrum of Pituitary Adenoma Based on the WHO 2017 Classification

Neurol India. 2024 Jan 1;72(1):96-101. doi: 10.4103/neuroindia.NI_913_20. Epub 2024 Feb 29.

Abstract

Background: The WHO 2017 classification of endocrine tumors incorporates lineage-specific transcription factors (TF) and hormone expression for the classification of pituitary adenoma (PA). There is paucity of reports describing the spectrum of PA based on this classification.

Objective: The aim of this study was to delineate the spectrum of PA based on WHO 2017 classification of endocrine tumors.

Materials and methods: PA diagnosed in the year 2018 were studied. H and E and hormonal immunohistochemistry (IHC) for GH, PRL, ACTH, TSH, FSH, LH, CK, T-Pit and MIB-1 were performed and the results were analyzed.

Results: The cohort included 88 cases. M: F ratio was 2:1. Clinically, 22 (25%) were functional and 66 (75%) were non-functional adenomas. Amongst the clinically functional adenomas, GH secreting adenomas were the commonest (68%). Majority (83%) of non-functional adenomas were hormone positive with gonadotroph adenomas being the commonest (72.7%). Eleven (12.5%) PA were clinically and hormonally silent. Three of these showed intense nuclear T-Pit positivity, classifying them under silent corticotroph adenoma. Lineage of the remaining eight adenomas remained undetermined, since, IHC for Pit-1 and SF-1 was not performed. The aggressive adenomas identified by IHC included sparsely granulated somatotroph adenoma, Crooke cell adenoma, silent corticotroph adenoma, densely granulated lactotroph adenoma in men and constituted 17% of the PA. Four (4/88) cases were clinically invasive.

Conclusion: A large majority of PA including aggressive adenomas can be identified by IHC. Addition of T-Pit helped to identify silent corticotroph adenoma. Pit -1 and SF-1 TF would help identify plurihormonal Pit-1 PA and null cell adenomas.

MeSH terms

  • ACTH-Secreting Pituitary Adenoma*
  • Adenoma* / diagnosis
  • Hormones
  • Humans
  • Male
  • Organic Chemicals
  • Pituitary Neoplasms* / diagnosis

Substances

  • OMS 2017
  • Hormones
  • Organic Chemicals