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How Valuable Is the RT-qPCR of Pituitary-Specific Transcription Factors for Identifying Pituitary Neuroendocrine Tumor Subtypes According to the New WHO 2017 Criteria?

The classification of pituitary neuroendocrine tumors (PitNETs) subtypes continues generating interest. In 2017, the World Health Organization (WHO) proposed considering the immunohistochemical (IHC) analysis of pituitary-specific transcription factors (TF) for their typification. The present study...

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Autores principales: Torregrosa-Quesada, María Eugenia, García-Martínez, Araceli, Silva-Ortega, Sandra, Martínez-López, Sebastián, Cámara, Rosa, Fajardo, Carmen, Lamas, Cristina, Aranda, Ignacio, Picó, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966694/
https://www.ncbi.nlm.nih.gov/pubmed/31835737
http://dx.doi.org/10.3390/cancers11121990
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author Torregrosa-Quesada, María Eugenia
García-Martínez, Araceli
Silva-Ortega, Sandra
Martínez-López, Sebastián
Cámara, Rosa
Fajardo, Carmen
Lamas, Cristina
Aranda, Ignacio
Picó, Antonio
author_facet Torregrosa-Quesada, María Eugenia
García-Martínez, Araceli
Silva-Ortega, Sandra
Martínez-López, Sebastián
Cámara, Rosa
Fajardo, Carmen
Lamas, Cristina
Aranda, Ignacio
Picó, Antonio
author_sort Torregrosa-Quesada, María Eugenia
collection PubMed
description The classification of pituitary neuroendocrine tumors (PitNETs) subtypes continues generating interest. In 2017, the World Health Organization (WHO) proposed considering the immunohistochemical (IHC) analysis of pituitary-specific transcription factors (TF) for their typification. The present study targeted the quantification of pituitary-specific TF (TPIT, PIT-1, SF-1, GATA2, ESR1) gene expression by RT-qPCR to overcome the shortcomings of IHC and to complement it. We analyzed 251 tumors from our collection of PitNETs and performed additional IHC studies in a subset of 56 samples to analyze the concordance between gene and protein expression of the TF. The molecular and IHC studies allowed us to significantly reduce the percentage of null cell tumors in our series, most of which were reclassified as gonadotroph tumors. The concordance between the molecular and the immunohistochemical studies was good for tumors coming from the corticotroph and Pit-1 lineages but worsened for the rest of the tumors. Indeed, the RT-qPCR helped to improve the typification of plurihormonal Pit-1 and unusual tumors. Overall, our results suggest that the RT-qPCR of pituitary-specific TF and hormone genes could help pathologists, endocrinologists, and neurosurgeons to improve the management of patients with pituitary tumors.
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spelling pubmed-69666942020-02-04 How Valuable Is the RT-qPCR of Pituitary-Specific Transcription Factors for Identifying Pituitary Neuroendocrine Tumor Subtypes According to the New WHO 2017 Criteria? Torregrosa-Quesada, María Eugenia García-Martínez, Araceli Silva-Ortega, Sandra Martínez-López, Sebastián Cámara, Rosa Fajardo, Carmen Lamas, Cristina Aranda, Ignacio Picó, Antonio Cancers (Basel) Article The classification of pituitary neuroendocrine tumors (PitNETs) subtypes continues generating interest. In 2017, the World Health Organization (WHO) proposed considering the immunohistochemical (IHC) analysis of pituitary-specific transcription factors (TF) for their typification. The present study targeted the quantification of pituitary-specific TF (TPIT, PIT-1, SF-1, GATA2, ESR1) gene expression by RT-qPCR to overcome the shortcomings of IHC and to complement it. We analyzed 251 tumors from our collection of PitNETs and performed additional IHC studies in a subset of 56 samples to analyze the concordance between gene and protein expression of the TF. The molecular and IHC studies allowed us to significantly reduce the percentage of null cell tumors in our series, most of which were reclassified as gonadotroph tumors. The concordance between the molecular and the immunohistochemical studies was good for tumors coming from the corticotroph and Pit-1 lineages but worsened for the rest of the tumors. Indeed, the RT-qPCR helped to improve the typification of plurihormonal Pit-1 and unusual tumors. Overall, our results suggest that the RT-qPCR of pituitary-specific TF and hormone genes could help pathologists, endocrinologists, and neurosurgeons to improve the management of patients with pituitary tumors. MDPI 2019-12-11 /pmc/articles/PMC6966694/ /pubmed/31835737 http://dx.doi.org/10.3390/cancers11121990 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Torregrosa-Quesada, María Eugenia
García-Martínez, Araceli
Silva-Ortega, Sandra
Martínez-López, Sebastián
Cámara, Rosa
Fajardo, Carmen
Lamas, Cristina
Aranda, Ignacio
Picó, Antonio
How Valuable Is the RT-qPCR of Pituitary-Specific Transcription Factors for Identifying Pituitary Neuroendocrine Tumor Subtypes According to the New WHO 2017 Criteria?
title How Valuable Is the RT-qPCR of Pituitary-Specific Transcription Factors for Identifying Pituitary Neuroendocrine Tumor Subtypes According to the New WHO 2017 Criteria?
title_full How Valuable Is the RT-qPCR of Pituitary-Specific Transcription Factors for Identifying Pituitary Neuroendocrine Tumor Subtypes According to the New WHO 2017 Criteria?
title_fullStr How Valuable Is the RT-qPCR of Pituitary-Specific Transcription Factors for Identifying Pituitary Neuroendocrine Tumor Subtypes According to the New WHO 2017 Criteria?
title_full_unstemmed How Valuable Is the RT-qPCR of Pituitary-Specific Transcription Factors for Identifying Pituitary Neuroendocrine Tumor Subtypes According to the New WHO 2017 Criteria?
title_short How Valuable Is the RT-qPCR of Pituitary-Specific Transcription Factors for Identifying Pituitary Neuroendocrine Tumor Subtypes According to the New WHO 2017 Criteria?
title_sort how valuable is the rt-qpcr of pituitary-specific transcription factors for identifying pituitary neuroendocrine tumor subtypes according to the new who 2017 criteria?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966694/
https://www.ncbi.nlm.nih.gov/pubmed/31835737
http://dx.doi.org/10.3390/cancers11121990
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