ECE2020 Audio ePoster Presentations Pituitary and Neuroendocrinology (217 abstracts)
Characterization of pituitary adenomas by immunohistochemistry of pituitary-specific transcription factors and their correlation with hormonal subtypes
Araceli García-Martínez 1 , Sandra Silva-Ortega 2 , Beatriz López-Muñoz 3 , Óscar Moreno-Pérez 3 , Irene Monjas 4 , Javier Abarca 5 , Antonio Picó 3 & Ignacio Aranda 2
1Alicante University General Hospital, Alicante Institute for Health and Biomedical Research, Research Laboratory, Alicante, Spain; 2Alicante University General Hospital, Alicante Institute for Health and Biomedical Research, Pathology Department, Alicante, Spain; 3Alicante University General Hospital, Alicante Institute for Health and Biomedical Research, Endocrinology Department, Alicante, Spain; 4Alicante University General Hospital, Alicante Institute for Health and Biomedical Research, Otorhinolaryngology Department, Alicante, Spain; 5Alicante University General Hospital, Alicante Institute for Health and Biomedical Research, Neurosurgery Department, Alicante, Spain
Introduction: The immunohistochemical characterization of Pit-1, Tpit and SF-1 transcription factors allows the identification of the three adenohypophyseal cell lines and has been incorporated into the latest WHO classification of pituitary adenomas (PA). The aim of the present study was to quantify the protein expression of pituitary-specific transcription factors (TF) by immunohistochemistry (IHC) and to correlate these results with the identification based on hormonal protein expression. Moreover, to validate these results by qRT-PCR in a subset of samples.
Material and Methods: We selected 144 PA with complete information. These adenomas had been previously classified according to the IHC of the pituitary hormones: 18 densely granulated somatotroph adenomas (DGSA), 17 sparsely granulated somatotroph adenomas (SGSA), 9 lactotroph adenomas, 49 gonadotroph adenomas, 18 corticotroph adenomas and 29 null cell adenomas. We quantified the immunohistochemical expression of Pit-1 (PA5–59662), Tpit (ab243028) and SF-1 (ab217317) (cutoff 5%) on Tissue Microarrays. We quantified the relative gene expression of TPIT, PIT-1, SF-1, GATA2 and ESR1 by qRT-PCR.
Results: The mean age of the patients was 54 years, 65 were women and 79 men. Three cases were eliminated due to their double tumor nature. 49 PA were Pit-1 IHC positive of which 18 expressed GH, 14 GH and PRL, 8 PRL, 2 TSH, 1 LH and TSH and 6 were null. 19 were Tpit IHC positive of which 10 were Cushing (expressed ACTH) and 9 were silent (8 expressed ACTH and 1 was only Tpit). 67 expressed SF-1 by IHC of which 49 expressed FSH/lH and 18 only SF-1, without hormonal expression. 6 tumors were confirmed as null. Moreover, gene expression of TF agreed with the IHC identification.
Conclusion: The IHC study of the expression of pituitary-specific TF proteins allows a better identification of PitNETs, significantly reducing the percentage of null cell tumors.
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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