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A simple and robust real-time qPCR method for the detection of PIK3CA mutations
PIK3CA mutations are seemingly the most common driver mutations in breast cancer with H1047R and E545K being the most common of these, accounting together for around 60% of all PIK3CA mutations and have promising therapeutic implications. Given the low sensitivity and the high cost of current genoty...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844869/ https://www.ncbi.nlm.nih.gov/pubmed/29523855 http://dx.doi.org/10.1038/s41598-018-22473-9 |
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author | Alvarez-Garcia, Virginia Bartos, Clare Keraite, Ieva Trivedi, Urmi Brennan, Paul M. Kersaudy-Kerhoas, Maïwenn Gharbi, Karim Oikonomidou, Olga Leslie, Nicholas R. |
author_facet | Alvarez-Garcia, Virginia Bartos, Clare Keraite, Ieva Trivedi, Urmi Brennan, Paul M. Kersaudy-Kerhoas, Maïwenn Gharbi, Karim Oikonomidou, Olga Leslie, Nicholas R. |
author_sort | Alvarez-Garcia, Virginia |
collection | PubMed |
description | PIK3CA mutations are seemingly the most common driver mutations in breast cancer with H1047R and E545K being the most common of these, accounting together for around 60% of all PIK3CA mutations and have promising therapeutic implications. Given the low sensitivity and the high cost of current genotyping methods we sought to develop fast, simple and inexpensive assays for PIK3CA H1047R and E545K mutation screening in clinical material. The methods we describe are based on a real-time PCR including a mutation specific primer combined with a non-productive oligonucleotide which inhibits wild-type amplification and a parallel internal control reaction. We demonstrate consistent detection of PIK3CA H1047R mutant DNA in genomic DNA extracted from frozen breast cancer biopsies, FFPE material or cancer cell lines with a detection sensitivity of approximately 5% mutant allele fraction and validate these results using both Sanger sequencing and deep next generation sequencing methods. The detection sensitivity for PIK3CA E545K mutation was approximately 10%. We propose these methods as simple, fast and inexpensive diagnostic tools to determine PIK3CA mutation status. |
format | Online Article Text |
id | pubmed-5844869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58448692018-03-14 A simple and robust real-time qPCR method for the detection of PIK3CA mutations Alvarez-Garcia, Virginia Bartos, Clare Keraite, Ieva Trivedi, Urmi Brennan, Paul M. Kersaudy-Kerhoas, Maïwenn Gharbi, Karim Oikonomidou, Olga Leslie, Nicholas R. Sci Rep Article PIK3CA mutations are seemingly the most common driver mutations in breast cancer with H1047R and E545K being the most common of these, accounting together for around 60% of all PIK3CA mutations and have promising therapeutic implications. Given the low sensitivity and the high cost of current genotyping methods we sought to develop fast, simple and inexpensive assays for PIK3CA H1047R and E545K mutation screening in clinical material. The methods we describe are based on a real-time PCR including a mutation specific primer combined with a non-productive oligonucleotide which inhibits wild-type amplification and a parallel internal control reaction. We demonstrate consistent detection of PIK3CA H1047R mutant DNA in genomic DNA extracted from frozen breast cancer biopsies, FFPE material or cancer cell lines with a detection sensitivity of approximately 5% mutant allele fraction and validate these results using both Sanger sequencing and deep next generation sequencing methods. The detection sensitivity for PIK3CA E545K mutation was approximately 10%. We propose these methods as simple, fast and inexpensive diagnostic tools to determine PIK3CA mutation status. Nature Publishing Group UK 2018-03-09 /pmc/articles/PMC5844869/ /pubmed/29523855 http://dx.doi.org/10.1038/s41598-018-22473-9 Text en © The Author(s) 2018, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Alvarez-Garcia, Virginia Bartos, Clare Keraite, Ieva Trivedi, Urmi Brennan, Paul M. Kersaudy-Kerhoas, Maïwenn Gharbi, Karim Oikonomidou, Olga Leslie, Nicholas R. A simple and robust real-time qPCR method for the detection of PIK3CA mutations |
title | A simple and robust real-time qPCR method for the detection of PIK3CA mutations |
title_full | A simple and robust real-time qPCR method for the detection of PIK3CA mutations |
title_fullStr | A simple and robust real-time qPCR method for the detection of PIK3CA mutations |
title_full_unstemmed | A simple and robust real-time qPCR method for the detection of PIK3CA mutations |
title_short | A simple and robust real-time qPCR method for the detection of PIK3CA mutations |
title_sort | simple and robust real-time qpcr method for the detection of pik3ca mutations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844869/ https://www.ncbi.nlm.nih.gov/pubmed/29523855 http://dx.doi.org/10.1038/s41598-018-22473-9 |
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