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PIK3CA mutation enrichment and quantitation from blood and tissue

PIK3CA is one of the two most frequently mutated genes in breast cancers, occurring in 30–40% of cases. Four frequent ‘hotspot’ PIK3CA mutations (E542K, E545K, H1047R and H1047L) account for 80–90% of all PIK3CA mutations in human malignancies and represent predictive biomarkers. Here we describe a...

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Autores principales: Keraite, Ieva, Alvarez-Garcia, Virginia, Garcia-Murillas, Isaac, Beaney, Matthew, Turner, Nicholas C., Bartos, Clare, Oikonomidou, Olga, Kersaudy-Kerhoas, Maïwenn, Leslie, Nicholas R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7555501/
https://www.ncbi.nlm.nih.gov/pubmed/33051521
http://dx.doi.org/10.1038/s41598-020-74086-w
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author Keraite, Ieva
Alvarez-Garcia, Virginia
Garcia-Murillas, Isaac
Beaney, Matthew
Turner, Nicholas C.
Bartos, Clare
Oikonomidou, Olga
Kersaudy-Kerhoas, Maïwenn
Leslie, Nicholas R.
author_facet Keraite, Ieva
Alvarez-Garcia, Virginia
Garcia-Murillas, Isaac
Beaney, Matthew
Turner, Nicholas C.
Bartos, Clare
Oikonomidou, Olga
Kersaudy-Kerhoas, Maïwenn
Leslie, Nicholas R.
author_sort Keraite, Ieva
collection PubMed
description PIK3CA is one of the two most frequently mutated genes in breast cancers, occurring in 30–40% of cases. Four frequent ‘hotspot’ PIK3CA mutations (E542K, E545K, H1047R and H1047L) account for 80–90% of all PIK3CA mutations in human malignancies and represent predictive biomarkers. Here we describe a PIK3CA mutation specific nuclease-based enrichment assay, which combined with a low-cost real-time qPCR detection method, enhances assay detection sensitivity from 5% for E542K and 10% for E545K to 0.6%, and from 5% for H1047R to 0.3%. Moreover, we present a novel flexible prediction method to calculate initial mutant allele frequency in tissue biopsy and blood samples with low mutant fraction. These advancements demonstrated a quick, accurate and simple detection and quantitation of PIK3CA mutations in two breast cancer cohorts (first cohort n = 22, second cohort n = 25). Hence this simple, versatile and informative workflow could be applicable for routine diagnostic testing where quantitative results are essential, e.g. disease monitoring subject to validation in a substantial future study.
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spelling pubmed-75555012020-10-14 PIK3CA mutation enrichment and quantitation from blood and tissue Keraite, Ieva Alvarez-Garcia, Virginia Garcia-Murillas, Isaac Beaney, Matthew Turner, Nicholas C. Bartos, Clare Oikonomidou, Olga Kersaudy-Kerhoas, Maïwenn Leslie, Nicholas R. Sci Rep Article PIK3CA is one of the two most frequently mutated genes in breast cancers, occurring in 30–40% of cases. Four frequent ‘hotspot’ PIK3CA mutations (E542K, E545K, H1047R and H1047L) account for 80–90% of all PIK3CA mutations in human malignancies and represent predictive biomarkers. Here we describe a PIK3CA mutation specific nuclease-based enrichment assay, which combined with a low-cost real-time qPCR detection method, enhances assay detection sensitivity from 5% for E542K and 10% for E545K to 0.6%, and from 5% for H1047R to 0.3%. Moreover, we present a novel flexible prediction method to calculate initial mutant allele frequency in tissue biopsy and blood samples with low mutant fraction. These advancements demonstrated a quick, accurate and simple detection and quantitation of PIK3CA mutations in two breast cancer cohorts (first cohort n = 22, second cohort n = 25). Hence this simple, versatile and informative workflow could be applicable for routine diagnostic testing where quantitative results are essential, e.g. disease monitoring subject to validation in a substantial future study. Nature Publishing Group UK 2020-10-13 /pmc/articles/PMC7555501/ /pubmed/33051521 http://dx.doi.org/10.1038/s41598-020-74086-w Text en © The Author(s) 2020 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Keraite, Ieva
Alvarez-Garcia, Virginia
Garcia-Murillas, Isaac
Beaney, Matthew
Turner, Nicholas C.
Bartos, Clare
Oikonomidou, Olga
Kersaudy-Kerhoas, Maïwenn
Leslie, Nicholas R.
PIK3CA mutation enrichment and quantitation from blood and tissue
title PIK3CA mutation enrichment and quantitation from blood and tissue
title_full PIK3CA mutation enrichment and quantitation from blood and tissue
title_fullStr PIK3CA mutation enrichment and quantitation from blood and tissue
title_full_unstemmed PIK3CA mutation enrichment and quantitation from blood and tissue
title_short PIK3CA mutation enrichment and quantitation from blood and tissue
title_sort pik3ca mutation enrichment and quantitation from blood and tissue
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7555501/
https://www.ncbi.nlm.nih.gov/pubmed/33051521
http://dx.doi.org/10.1038/s41598-020-74086-w
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