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TERTmonitor—qPCR Detection of TERTp Mutations in Glioma
Telomerase promoter (TERTp) mutations are frequently observed in various types of tumours and commonly characterised by two specific hotspots located at positions −124 and −146 upstream of the start codon. They enhance TERTp activity, resulting in increased TERT expression. In central nervous system...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530400/ https://www.ncbi.nlm.nih.gov/pubmed/37761833 http://dx.doi.org/10.3390/genes14091693 |
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author | Brás, João Paulo Jesus, Tito Teles Prazeres, Hugo Lima, Jorge Soares, Paula Vinagre, João |
author_facet | Brás, João Paulo Jesus, Tito Teles Prazeres, Hugo Lima, Jorge Soares, Paula Vinagre, João |
author_sort | Brás, João Paulo |
collection | PubMed |
description | Telomerase promoter (TERTp) mutations are frequently observed in various types of tumours and commonly characterised by two specific hotspots located at positions −124 and −146 upstream of the start codon. They enhance TERTp activity, resulting in increased TERT expression. In central nervous system (CNS) tumours, they are integrated as biomarkers, aiding in the diagnosis and with a role in prognosis, where, in some settings, they are associated with aggressive behaviour. In this study, we evaluated the performance of TERTmonitor for TERTp genotyping in a series of 185 gliomas in comparison to the traditional method, Sanger sequencing. Against the gold-standard Sanger method, TERTmonitor performed with a 97.8% accuracy. Inaccuracy was mainly due to the over-detection of variants in negative cases (by Sanger) and the presence of variants that can modify the chemistry of the probe detection. The distribution of the mutations was comparable to other series, with the −124 being the most represented (38.92% for Sanger and TERTmonitor) and more prevalent in the higher-grade tumours, gliosarcoma (50.00%) and glioblastoma (52.6%). The non-matched cases are debatable, as we may be dealing with the reduced sensitivity of Sanger in detecting rare alleles, which strengthens the use of the TERTmonitor. With this study, we present a reliable and rapid potential tool for TERTp genotyping in gliomas. |
format | Online Article Text |
id | pubmed-10530400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105304002023-09-28 TERTmonitor—qPCR Detection of TERTp Mutations in Glioma Brás, João Paulo Jesus, Tito Teles Prazeres, Hugo Lima, Jorge Soares, Paula Vinagre, João Genes (Basel) Article Telomerase promoter (TERTp) mutations are frequently observed in various types of tumours and commonly characterised by two specific hotspots located at positions −124 and −146 upstream of the start codon. They enhance TERTp activity, resulting in increased TERT expression. In central nervous system (CNS) tumours, they are integrated as biomarkers, aiding in the diagnosis and with a role in prognosis, where, in some settings, they are associated with aggressive behaviour. In this study, we evaluated the performance of TERTmonitor for TERTp genotyping in a series of 185 gliomas in comparison to the traditional method, Sanger sequencing. Against the gold-standard Sanger method, TERTmonitor performed with a 97.8% accuracy. Inaccuracy was mainly due to the over-detection of variants in negative cases (by Sanger) and the presence of variants that can modify the chemistry of the probe detection. The distribution of the mutations was comparable to other series, with the −124 being the most represented (38.92% for Sanger and TERTmonitor) and more prevalent in the higher-grade tumours, gliosarcoma (50.00%) and glioblastoma (52.6%). The non-matched cases are debatable, as we may be dealing with the reduced sensitivity of Sanger in detecting rare alleles, which strengthens the use of the TERTmonitor. With this study, we present a reliable and rapid potential tool for TERTp genotyping in gliomas. MDPI 2023-08-25 /pmc/articles/PMC10530400/ /pubmed/37761833 http://dx.doi.org/10.3390/genes14091693 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Brás, João Paulo Jesus, Tito Teles Prazeres, Hugo Lima, Jorge Soares, Paula Vinagre, João TERTmonitor—qPCR Detection of TERTp Mutations in Glioma |
title | TERTmonitor—qPCR Detection of TERTp Mutations in Glioma |
title_full | TERTmonitor—qPCR Detection of TERTp Mutations in Glioma |
title_fullStr | TERTmonitor—qPCR Detection of TERTp Mutations in Glioma |
title_full_unstemmed | TERTmonitor—qPCR Detection of TERTp Mutations in Glioma |
title_short | TERTmonitor—qPCR Detection of TERTp Mutations in Glioma |
title_sort | tertmonitor—qpcr detection of tertp mutations in glioma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530400/ https://www.ncbi.nlm.nih.gov/pubmed/37761833 http://dx.doi.org/10.3390/genes14091693 |
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