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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...

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Autores principales: Alvarez-Garcia, Virginia, Bartos, Clare, Keraite, Ieva, Trivedi, Urmi, Brennan, Paul M., Kersaudy-Kerhoas, Maïwenn, Gharbi, Karim, Oikonomidou, Olga, Leslie, Nicholas R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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.
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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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