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Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort

A limited number of studies have focused on the mutational landscape of breast cancer in different ethnic populations within Europe and compared the data with other ethnic groups and databases. We performed whole-genome sequencing of 63 samples from 29 Hungarian breast cancer patients. We validated...

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Autores principales: Pipek, Orsolya, Alpár, Donát, Rusz, Orsolya, Bödör, Csaba, Udvarnoki, Zoltán, Medgyes-Horváth, Anna, Csabai, István, Szállási, Zoltán, Madaras, Lilla, Kahán, Zsuzsanna, Cserni, Gábor, Kővári, Bence, Kulka, Janina, Tőkés, Anna Mária
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218458/
https://www.ncbi.nlm.nih.gov/pubmed/37239898
http://dx.doi.org/10.3390/ijms24108553
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author Pipek, Orsolya
Alpár, Donát
Rusz, Orsolya
Bödör, Csaba
Udvarnoki, Zoltán
Medgyes-Horváth, Anna
Csabai, István
Szállási, Zoltán
Madaras, Lilla
Kahán, Zsuzsanna
Cserni, Gábor
Kővári, Bence
Kulka, Janina
Tőkés, Anna Mária
author_facet Pipek, Orsolya
Alpár, Donát
Rusz, Orsolya
Bödör, Csaba
Udvarnoki, Zoltán
Medgyes-Horváth, Anna
Csabai, István
Szállási, Zoltán
Madaras, Lilla
Kahán, Zsuzsanna
Cserni, Gábor
Kővári, Bence
Kulka, Janina
Tőkés, Anna Mária
author_sort Pipek, Orsolya
collection PubMed
description A limited number of studies have focused on the mutational landscape of breast cancer in different ethnic populations within Europe and compared the data with other ethnic groups and databases. We performed whole-genome sequencing of 63 samples from 29 Hungarian breast cancer patients. We validated a subset of the identified variants at the DNA level using the Illumina TruSight Oncology (TSO) 500 assay. Canonical breast-cancer-associated genes with pathogenic germline mutations were CHEK2 and ATM. Nearly all the observed germline mutations were as frequent in the Hungarian breast cancer cohort as in independent European populations. The majority of the detected somatic short variants were single-nucleotide polymorphisms (SNPs), and only 8% and 6% of them were deletions or insertions, respectively. The genes most frequently affected by somatic mutations were KMT2C (31%), MUC4 (34%), PIK3CA (18%), and TP53 (34%). Copy number alterations were most common in the NBN, RAD51C, BRIP1, and CDH1 genes. For many samples, the somatic mutational landscape was dominated by mutational processes associated with homologous recombination deficiency (HRD). Our study, as the first breast tumor/normal sequencing study in Hungary, revealed several aspects of the significantly mutated genes and mutational signatures, and some of the copy number variations and somatic fusion events. Multiple signs of HRD were detected, highlighting the value of the comprehensive genomic characterization of breast cancer patient populations.
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spelling pubmed-102184582023-05-27 Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort Pipek, Orsolya Alpár, Donát Rusz, Orsolya Bödör, Csaba Udvarnoki, Zoltán Medgyes-Horváth, Anna Csabai, István Szállási, Zoltán Madaras, Lilla Kahán, Zsuzsanna Cserni, Gábor Kővári, Bence Kulka, Janina Tőkés, Anna Mária Int J Mol Sci Article A limited number of studies have focused on the mutational landscape of breast cancer in different ethnic populations within Europe and compared the data with other ethnic groups and databases. We performed whole-genome sequencing of 63 samples from 29 Hungarian breast cancer patients. We validated a subset of the identified variants at the DNA level using the Illumina TruSight Oncology (TSO) 500 assay. Canonical breast-cancer-associated genes with pathogenic germline mutations were CHEK2 and ATM. Nearly all the observed germline mutations were as frequent in the Hungarian breast cancer cohort as in independent European populations. The majority of the detected somatic short variants were single-nucleotide polymorphisms (SNPs), and only 8% and 6% of them were deletions or insertions, respectively. The genes most frequently affected by somatic mutations were KMT2C (31%), MUC4 (34%), PIK3CA (18%), and TP53 (34%). Copy number alterations were most common in the NBN, RAD51C, BRIP1, and CDH1 genes. For many samples, the somatic mutational landscape was dominated by mutational processes associated with homologous recombination deficiency (HRD). Our study, as the first breast tumor/normal sequencing study in Hungary, revealed several aspects of the significantly mutated genes and mutational signatures, and some of the copy number variations and somatic fusion events. Multiple signs of HRD were detected, highlighting the value of the comprehensive genomic characterization of breast cancer patient populations. MDPI 2023-05-10 /pmc/articles/PMC10218458/ /pubmed/37239898 http://dx.doi.org/10.3390/ijms24108553 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pipek, Orsolya
Alpár, Donát
Rusz, Orsolya
Bödör, Csaba
Udvarnoki, Zoltán
Medgyes-Horváth, Anna
Csabai, István
Szállási, Zoltán
Madaras, Lilla
Kahán, Zsuzsanna
Cserni, Gábor
Kővári, Bence
Kulka, Janina
Tőkés, Anna Mária
Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort
title Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort
title_full Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort
title_fullStr Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort
title_full_unstemmed Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort
title_short Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort
title_sort genomic landscape of normal and breast cancer tissues in a hungarian pilot cohort
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218458/
https://www.ncbi.nlm.nih.gov/pubmed/37239898
http://dx.doi.org/10.3390/ijms24108553
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