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Mutational landscape differences between young-onset and older-onset breast cancer patients

BACKGROUND: The incidence of breast cancer among young women (aged ≤40 years) has increased in North America and Europe. Fewer than 10% of cases among young women are attributable to inherited BRCA1 or BRCA2 mutations, suggesting an important role for somatic mutations. This study investigated genom...

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Autores principales: Mealey, Nicole E., O’Sullivan, Dylan E., Pader, Joy, Ruan, Yibing, Wang, Edwin, Quan, May Lynn, Brenner, Darren R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068998/
https://www.ncbi.nlm.nih.gov/pubmed/32164620
http://dx.doi.org/10.1186/s12885-020-6684-z
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author Mealey, Nicole E.
O’Sullivan, Dylan E.
Pader, Joy
Ruan, Yibing
Wang, Edwin
Quan, May Lynn
Brenner, Darren R.
author_facet Mealey, Nicole E.
O’Sullivan, Dylan E.
Pader, Joy
Ruan, Yibing
Wang, Edwin
Quan, May Lynn
Brenner, Darren R.
author_sort Mealey, Nicole E.
collection PubMed
description BACKGROUND: The incidence of breast cancer among young women (aged ≤40 years) has increased in North America and Europe. Fewer than 10% of cases among young women are attributable to inherited BRCA1 or BRCA2 mutations, suggesting an important role for somatic mutations. This study investigated genomic differences between young- and older-onset breast tumours. METHODS: In this study we characterized the mutational landscape of 89 young-onset breast tumours (≤40 years) and examined differences with 949 older-onset tumours (> 40 years) using data from The Cancer Genome Atlas. We examined mutated genes, mutational load, and types of mutations. We used complementary R packages “deconstructSigs” and “SomaticSignatures” to extract mutational signatures. A recursively partitioned mixture model was used to identify whether combinations of mutational signatures were related to age of onset. RESULTS: Older patients had a higher proportion of mutations in PIK3CA, CDH1, and MAP3K1 genes, while young-onset patients had a higher proportion of mutations in GATA3 and CTNNB1. Mutational load was lower for young-onset tumours, and a higher proportion of these mutations were C > A mutations, but a lower proportion were C > T mutations compared to older-onset tumours. The most common mutational signatures identified in both age groups were signatures 1 and 3 from the COSMIC database. Signatures resembling COSMIC signatures 2 and 13 were observed among both age groups. We identified a class of tumours with a unique combination of signatures that may be associated with young age of onset. CONCLUSIONS: The results of this exploratory study provide some evidence that the mutational landscape and mutational signatures among young-onset breast cancer are different from those of older-onset patients. The characterization of young-onset tumours could provide clues to their etiology which may inform future prevention. Further studies are required to confirm our findings.
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spelling pubmed-70689982020-03-18 Mutational landscape differences between young-onset and older-onset breast cancer patients Mealey, Nicole E. O’Sullivan, Dylan E. Pader, Joy Ruan, Yibing Wang, Edwin Quan, May Lynn Brenner, Darren R. BMC Cancer Research Article BACKGROUND: The incidence of breast cancer among young women (aged ≤40 years) has increased in North America and Europe. Fewer than 10% of cases among young women are attributable to inherited BRCA1 or BRCA2 mutations, suggesting an important role for somatic mutations. This study investigated genomic differences between young- and older-onset breast tumours. METHODS: In this study we characterized the mutational landscape of 89 young-onset breast tumours (≤40 years) and examined differences with 949 older-onset tumours (> 40 years) using data from The Cancer Genome Atlas. We examined mutated genes, mutational load, and types of mutations. We used complementary R packages “deconstructSigs” and “SomaticSignatures” to extract mutational signatures. A recursively partitioned mixture model was used to identify whether combinations of mutational signatures were related to age of onset. RESULTS: Older patients had a higher proportion of mutations in PIK3CA, CDH1, and MAP3K1 genes, while young-onset patients had a higher proportion of mutations in GATA3 and CTNNB1. Mutational load was lower for young-onset tumours, and a higher proportion of these mutations were C > A mutations, but a lower proportion were C > T mutations compared to older-onset tumours. The most common mutational signatures identified in both age groups were signatures 1 and 3 from the COSMIC database. Signatures resembling COSMIC signatures 2 and 13 were observed among both age groups. We identified a class of tumours with a unique combination of signatures that may be associated with young age of onset. CONCLUSIONS: The results of this exploratory study provide some evidence that the mutational landscape and mutational signatures among young-onset breast cancer are different from those of older-onset patients. The characterization of young-onset tumours could provide clues to their etiology which may inform future prevention. Further studies are required to confirm our findings. BioMed Central 2020-03-12 /pmc/articles/PMC7068998/ /pubmed/32164620 http://dx.doi.org/10.1186/s12885-020-6684-z Text en © The Author(s). 2020 Open AccessThis 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/. 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 in a credit line to the data.
spellingShingle Research Article
Mealey, Nicole E.
O’Sullivan, Dylan E.
Pader, Joy
Ruan, Yibing
Wang, Edwin
Quan, May Lynn
Brenner, Darren R.
Mutational landscape differences between young-onset and older-onset breast cancer patients
title Mutational landscape differences between young-onset and older-onset breast cancer patients
title_full Mutational landscape differences between young-onset and older-onset breast cancer patients
title_fullStr Mutational landscape differences between young-onset and older-onset breast cancer patients
title_full_unstemmed Mutational landscape differences between young-onset and older-onset breast cancer patients
title_short Mutational landscape differences between young-onset and older-onset breast cancer patients
title_sort mutational landscape differences between young-onset and older-onset breast cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068998/
https://www.ncbi.nlm.nih.gov/pubmed/32164620
http://dx.doi.org/10.1186/s12885-020-6684-z
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