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Targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer

BACKGROUND: Inflammatory breast cancer (IBC) is the most aggressive form of primary breast cancer. Using a custom-made breast cancer gene sequencing panel, we investigated somatic mutations in IBC to better understand the genomic differences compared with non-IBC and to consider new targeted therapy...

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Autores principales: Liang, Xu, Vacher, Sophie, Boulai, Anais, Bernard, Virginie, Baulande, Sylvain, Bohec, Mylene, Bièche, Ivan, Lerebours, Florence, Callens, Céline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6081877/
https://www.ncbi.nlm.nih.gov/pubmed/30086764
http://dx.doi.org/10.1186/s13058-018-1007-x
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author Liang, Xu
Vacher, Sophie
Boulai, Anais
Bernard, Virginie
Baulande, Sylvain
Bohec, Mylene
Bièche, Ivan
Lerebours, Florence
Callens, Céline
author_facet Liang, Xu
Vacher, Sophie
Boulai, Anais
Bernard, Virginie
Baulande, Sylvain
Bohec, Mylene
Bièche, Ivan
Lerebours, Florence
Callens, Céline
author_sort Liang, Xu
collection PubMed
description BACKGROUND: Inflammatory breast cancer (IBC) is the most aggressive form of primary breast cancer. Using a custom-made breast cancer gene sequencing panel, we investigated somatic mutations in IBC to better understand the genomic differences compared with non-IBC and to consider new targeted therapy in IBC patients. METHODS: Targeted next-generation sequencing (NGS) of 91 candidate breast cancer-associated genes was performed on 156 fresh-frozen breast tumor tissues from IBC patients. Mutational profiles from 197 primary breast tumors from The Cancer Genome Atlas (TCGA) were used as non-IBC controls for comparison analysis. The mutational landscape of IBC was correlated with clinicopathological data and outcomes. RESULTS: After genotype calling and algorithmic annotations, we identified 392 deleterious variants in IBC and 320 variants in non-IBC cohorts, respectively. IBC tumors harbored more mutations than non-IBC (2.5 per sample vs. 1.6 per sample, p < 0.0001). Eighteen mutated genes were significantly different between the two cohorts, namely TP53, CDH1, NOTCH2, MYH9, BRCA2, ERBB4, POLE, FGFR3, ROS1, NOTCH4, LAMA2, EGFR, BRCA1, TP53BP1, ESR1, THBS1, CASP8, and NOTCH1. In IBC, the most frequently mutated genes were TP53 (43.0%), PIK3CA (29.5%), MYH9 (8.3%), NOTCH2 (8.3%), BRCA2 (7.7%), ERBB4 (7.1%), FGFR3 (6.4%), POLE (6.4%), LAMA2 (5.8%), ARID1A (5.1%), NOTCH4 (5.1%), and ROS1 (5.1%). After grouping 91 genes on 10 signaling pathways, we found that the DNA repair pathway for the triple-negative breast cancer (TNBC) subgroup, the RTK/RAS/MAPK and cell cycle pathways for the HR(–)/HER2(+) subgroup, the DNA repair, RTK/RAS/MAPK, and NOTCH pathways for the HR(+)/HER2(–) subgroup, and the DNA repair, epigenome, and diverse pathways for the HR(+)/HER2(+) subgroup were all significantly differently altered between IBC and non-IBC. PIK3CA mutation was independently associated with worse metastasis-free survival (MFS) in IBC since the median MFS for the PIK3CA mutant type was 26.0 months and for the PIK3CA wild type was 101.1 months (p = 0.002). This association was observed in TNBC (p = 0.04) and the HR(–)/HER2(+) subgroups (p = 0.0003), but not in the HR(+)/HER2(–) subgroup of IBC. CONCLUSIONS: Breast cancer-specific targeted NGS uncovered a high frequency of deleterious somatic mutations in IBC, some of which may be relevant for clinical management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-018-1007-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-60818772018-08-10 Targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer Liang, Xu Vacher, Sophie Boulai, Anais Bernard, Virginie Baulande, Sylvain Bohec, Mylene Bièche, Ivan Lerebours, Florence Callens, Céline Breast Cancer Res Research Article BACKGROUND: Inflammatory breast cancer (IBC) is the most aggressive form of primary breast cancer. Using a custom-made breast cancer gene sequencing panel, we investigated somatic mutations in IBC to better understand the genomic differences compared with non-IBC and to consider new targeted therapy in IBC patients. METHODS: Targeted next-generation sequencing (NGS) of 91 candidate breast cancer-associated genes was performed on 156 fresh-frozen breast tumor tissues from IBC patients. Mutational profiles from 197 primary breast tumors from The Cancer Genome Atlas (TCGA) were used as non-IBC controls for comparison analysis. The mutational landscape of IBC was correlated with clinicopathological data and outcomes. RESULTS: After genotype calling and algorithmic annotations, we identified 392 deleterious variants in IBC and 320 variants in non-IBC cohorts, respectively. IBC tumors harbored more mutations than non-IBC (2.5 per sample vs. 1.6 per sample, p < 0.0001). Eighteen mutated genes were significantly different between the two cohorts, namely TP53, CDH1, NOTCH2, MYH9, BRCA2, ERBB4, POLE, FGFR3, ROS1, NOTCH4, LAMA2, EGFR, BRCA1, TP53BP1, ESR1, THBS1, CASP8, and NOTCH1. In IBC, the most frequently mutated genes were TP53 (43.0%), PIK3CA (29.5%), MYH9 (8.3%), NOTCH2 (8.3%), BRCA2 (7.7%), ERBB4 (7.1%), FGFR3 (6.4%), POLE (6.4%), LAMA2 (5.8%), ARID1A (5.1%), NOTCH4 (5.1%), and ROS1 (5.1%). After grouping 91 genes on 10 signaling pathways, we found that the DNA repair pathway for the triple-negative breast cancer (TNBC) subgroup, the RTK/RAS/MAPK and cell cycle pathways for the HR(–)/HER2(+) subgroup, the DNA repair, RTK/RAS/MAPK, and NOTCH pathways for the HR(+)/HER2(–) subgroup, and the DNA repair, epigenome, and diverse pathways for the HR(+)/HER2(+) subgroup were all significantly differently altered between IBC and non-IBC. PIK3CA mutation was independently associated with worse metastasis-free survival (MFS) in IBC since the median MFS for the PIK3CA mutant type was 26.0 months and for the PIK3CA wild type was 101.1 months (p = 0.002). This association was observed in TNBC (p = 0.04) and the HR(–)/HER2(+) subgroups (p = 0.0003), but not in the HR(+)/HER2(–) subgroup of IBC. CONCLUSIONS: Breast cancer-specific targeted NGS uncovered a high frequency of deleterious somatic mutations in IBC, some of which may be relevant for clinical management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-018-1007-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-07 2018 /pmc/articles/PMC6081877/ /pubmed/30086764 http://dx.doi.org/10.1186/s13058-018-1007-x Text en © The Author(s). 2018 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
Liang, Xu
Vacher, Sophie
Boulai, Anais
Bernard, Virginie
Baulande, Sylvain
Bohec, Mylene
Bièche, Ivan
Lerebours, Florence
Callens, Céline
Targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer
title Targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer
title_full Targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer
title_fullStr Targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer
title_full_unstemmed Targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer
title_short Targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer
title_sort targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6081877/
https://www.ncbi.nlm.nih.gov/pubmed/30086764
http://dx.doi.org/10.1186/s13058-018-1007-x
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