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AKT1(E17K) mutation profiling in breast cancer: prevalence, concurrent oncogenic alterations, and blood-based detection
BACKGROUND: The single hotspot mutation AKT1 [G49A:E17K] has been described in several cancers, with the highest incidence observed in breast cancer. However, its precise role in disease etiology remains unknown. METHODS: We analyzed more than 600 breast cancer tumor samples and circulating tumor DN...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982009/ https://www.ncbi.nlm.nih.gov/pubmed/27515171 http://dx.doi.org/10.1186/s12885-016-2626-1 |
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author | Rudolph, Marion Anzeneder, Tobias Schulz, Anke Beckmann, Georg Byrne, Annette T. Jeffers, Michael Pena, Carol Politz, Oliver Köchert, Karl Vonk, Richardus Reischl, Joachim |
author_facet | Rudolph, Marion Anzeneder, Tobias Schulz, Anke Beckmann, Georg Byrne, Annette T. Jeffers, Michael Pena, Carol Politz, Oliver Köchert, Karl Vonk, Richardus Reischl, Joachim |
author_sort | Rudolph, Marion |
collection | PubMed |
description | BACKGROUND: The single hotspot mutation AKT1 [G49A:E17K] has been described in several cancers, with the highest incidence observed in breast cancer. However, its precise role in disease etiology remains unknown. METHODS: We analyzed more than 600 breast cancer tumor samples and circulating tumor DNA for AKT1(E17K) and alterations in other cancer-associated genes using Beads, Emulsions, Amplification, and Magnetics digital polymerase chain reaction technology and targeted exome sequencing. RESULTS: Overall AKT1(E17K) mutation prevalence was 6.3 % and not correlated with age or menopausal stage. AKT1(E17K) mutation frequency tended to be lower in patients with grade 3 disease (1.9 %) compared with those with grade 1 (11.1 %) or grade 2 (6 %) disease. In two cohorts of patients with advanced metastatic disease, 98.0 % (n = 50) and 97.1 % (n = 35) concordance was obtained between tissue and blood samples for the AKT1(E17K) mutation, and mutation capture rates of 66.7 % (2/3) and 85.7 % (6/7) in blood versus tissue samples were observed. Although AKT1-mutant tumor specimens were often found to harbor concurrent alterations in other driver genes, a subset of specimens harboring AKT1(E17K) as the only known driver alteration was also identified. Initial follow-up survival data suggest that AKT1(E17K) could be associated with increased mortality. These findings warrant additional long-term follow-up. CONCLUSIONS: The data suggest that AKT1(E17K) is the most likely disease driver in certain breast cancer patients. Blood-based mutation detection is achievable in advanced-stage disease. These findings underpin the need for a further enhanced-precision medicine paradigm in the treatment of breast cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-016-2626-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4982009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49820092016-08-13 AKT1(E17K) mutation profiling in breast cancer: prevalence, concurrent oncogenic alterations, and blood-based detection Rudolph, Marion Anzeneder, Tobias Schulz, Anke Beckmann, Georg Byrne, Annette T. Jeffers, Michael Pena, Carol Politz, Oliver Köchert, Karl Vonk, Richardus Reischl, Joachim BMC Cancer Research Article BACKGROUND: The single hotspot mutation AKT1 [G49A:E17K] has been described in several cancers, with the highest incidence observed in breast cancer. However, its precise role in disease etiology remains unknown. METHODS: We analyzed more than 600 breast cancer tumor samples and circulating tumor DNA for AKT1(E17K) and alterations in other cancer-associated genes using Beads, Emulsions, Amplification, and Magnetics digital polymerase chain reaction technology and targeted exome sequencing. RESULTS: Overall AKT1(E17K) mutation prevalence was 6.3 % and not correlated with age or menopausal stage. AKT1(E17K) mutation frequency tended to be lower in patients with grade 3 disease (1.9 %) compared with those with grade 1 (11.1 %) or grade 2 (6 %) disease. In two cohorts of patients with advanced metastatic disease, 98.0 % (n = 50) and 97.1 % (n = 35) concordance was obtained between tissue and blood samples for the AKT1(E17K) mutation, and mutation capture rates of 66.7 % (2/3) and 85.7 % (6/7) in blood versus tissue samples were observed. Although AKT1-mutant tumor specimens were often found to harbor concurrent alterations in other driver genes, a subset of specimens harboring AKT1(E17K) as the only known driver alteration was also identified. Initial follow-up survival data suggest that AKT1(E17K) could be associated with increased mortality. These findings warrant additional long-term follow-up. CONCLUSIONS: The data suggest that AKT1(E17K) is the most likely disease driver in certain breast cancer patients. Blood-based mutation detection is achievable in advanced-stage disease. These findings underpin the need for a further enhanced-precision medicine paradigm in the treatment of breast cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-016-2626-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-11 /pmc/articles/PMC4982009/ /pubmed/27515171 http://dx.doi.org/10.1186/s12885-016-2626-1 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Rudolph, Marion Anzeneder, Tobias Schulz, Anke Beckmann, Georg Byrne, Annette T. Jeffers, Michael Pena, Carol Politz, Oliver Köchert, Karl Vonk, Richardus Reischl, Joachim AKT1(E17K) mutation profiling in breast cancer: prevalence, concurrent oncogenic alterations, and blood-based detection |
title | AKT1(E17K) mutation profiling in breast cancer: prevalence, concurrent oncogenic alterations, and blood-based detection |
title_full | AKT1(E17K) mutation profiling in breast cancer: prevalence, concurrent oncogenic alterations, and blood-based detection |
title_fullStr | AKT1(E17K) mutation profiling in breast cancer: prevalence, concurrent oncogenic alterations, and blood-based detection |
title_full_unstemmed | AKT1(E17K) mutation profiling in breast cancer: prevalence, concurrent oncogenic alterations, and blood-based detection |
title_short | AKT1(E17K) mutation profiling in breast cancer: prevalence, concurrent oncogenic alterations, and blood-based detection |
title_sort | akt1(e17k) mutation profiling in breast cancer: prevalence, concurrent oncogenic alterations, and blood-based detection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982009/ https://www.ncbi.nlm.nih.gov/pubmed/27515171 http://dx.doi.org/10.1186/s12885-016-2626-1 |
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