Targeted sequencing reveals the somatic mutation landscape in a Swedish breast cancer cohort

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

Targeted sequencing reveals the somatic mutation landscape in a Swedish breast cancer cohort. / Mathioudaki, Argyri; Ljungström, Viktor; Melin, Malin; Arendt, Maja Louise; Nordin, Jessika; Karlsson, Åsa; Murén, Eva; Saksena, Pushpa; Meadows, Jennifer R.S.; Marinescu, Voichita D.; Sjöblom, Tobias; Lindblad-Toh, Kerstin.

I: Scientific Reports, Bind 10, Nr. 1, 19304, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Mathioudaki, A, Ljungström, V, Melin, M, Arendt, ML, Nordin, J, Karlsson, Å, Murén, E, Saksena, P, Meadows, JRS, Marinescu, VD, Sjöblom, T & Lindblad-Toh, K 2020, 'Targeted sequencing reveals the somatic mutation landscape in a Swedish breast cancer cohort', Scientific Reports, bind 10, nr. 1, 19304. https://doi.org/10.1038/s41598-020-74580-1

APA

Mathioudaki, A., Ljungström, V., Melin, M., Arendt, M. L., Nordin, J., Karlsson, Å., Murén, E., Saksena, P., Meadows, J. R. S., Marinescu, V. D., Sjöblom, T., & Lindblad-Toh, K. (2020). Targeted sequencing reveals the somatic mutation landscape in a Swedish breast cancer cohort. Scientific Reports, 10(1), [19304]. https://doi.org/10.1038/s41598-020-74580-1

Vancouver

Mathioudaki A, Ljungström V, Melin M, Arendt ML, Nordin J, Karlsson Å o.a. Targeted sequencing reveals the somatic mutation landscape in a Swedish breast cancer cohort. Scientific Reports. 2020;10(1). 19304. https://doi.org/10.1038/s41598-020-74580-1

Author

Mathioudaki, Argyri ; Ljungström, Viktor ; Melin, Malin ; Arendt, Maja Louise ; Nordin, Jessika ; Karlsson, Åsa ; Murén, Eva ; Saksena, Pushpa ; Meadows, Jennifer R.S. ; Marinescu, Voichita D. ; Sjöblom, Tobias ; Lindblad-Toh, Kerstin. / Targeted sequencing reveals the somatic mutation landscape in a Swedish breast cancer cohort. I: Scientific Reports. 2020 ; Bind 10, Nr. 1.

Bibtex

@article{02b388190b35450297cd056ebafc8c4e,
title = "Targeted sequencing reveals the somatic mutation landscape in a Swedish breast cancer cohort",
abstract = "Breast cancer (BC) is a genetically heterogeneous disease with high prevalence in Northern Europe. However, there has been no detailed investigation into the Scandinavian somatic landscape. Here, in a homogeneous Swedish cohort, we describe the somatic events underlying BC, leveraging a targeted next-generation sequencing approach. We designed a 20.5 Mb array targeting coding and regulatory regions of genes with a known role in BC (n = 765). The selected genes were either from human BC studies (n = 294) or from within canine mammary tumor associated regions (n = 471). A set of predominantly estrogen receptor positive tumors (ER + 85%) and their normal tissue counterparts (n= 61) were sequenced to ~ 140 × and 85 × mean target coverage, respectively. MuTect2 and VarScan2 were employed to detect single nucleotide variants (SNVs) and copy number aberrations (CNAs), while MutSigCV (SNVs) and GISTIC (CNAs) algorithms estimated the significance of recurrent somatic events. The significantly mutated genes (q ≤ 0.01) were PIK3CA (28% of patients), TP53 (21%) and CDH1 (11%). However, histone modifying genes contained the largest number of variants (KMT2C and ARID1A, together 28%). Mutations in KMT2C were mutually exclusive with PI3KCA mutations (p ≤ 0. 001) and half of these affect the formation of a functional PHD domain. The tumor suppressor CDK10 was deleted in 80% of the cohort while the oncogene MDM4 was amplified. Mutational signature analyses pointed towards APOBEC deaminase activity (COSMIC signature 2) and DNA mismatch repair (COSMIC signature 6). We noticed two significantly distinct patterns related to patient age; TP53 being more mutated in the younger group (29% vs 9% of patients) and CDH23 mutations were absent from the older group. The increased somatic mutation prevalence in the histone modifying genes KMT2C and ARID1A distinguishes the Swedish cohort from previous studies. KMT2C regulates enhancer activation and assists tumor proliferation in a hormone-rich environment, possibly pointing to a role in ER + BC, especially in older cases. Finally, age of onset appears to affect the mutational landscape suggesting that a larger age-diverse population incorporating more molecular subtypes should be studied to elucidate the underlying mechanisms.",
author = "Argyri Mathioudaki and Viktor Ljungstr{\"o}m and Malin Melin and Arendt, {Maja Louise} and Jessika Nordin and {\AA}sa Karlsson and Eva Mur{\'e}n and Pushpa Saksena and Meadows, {Jennifer R.S.} and Marinescu, {Voichita D.} and Tobias Sj{\"o}blom and Kerstin Lindblad-Toh",
year = "2020",
doi = "10.1038/s41598-020-74580-1",
language = "English",
volume = "10",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - Targeted sequencing reveals the somatic mutation landscape in a Swedish breast cancer cohort

AU - Mathioudaki, Argyri

AU - Ljungström, Viktor

AU - Melin, Malin

AU - Arendt, Maja Louise

AU - Nordin, Jessika

AU - Karlsson, Åsa

AU - Murén, Eva

AU - Saksena, Pushpa

AU - Meadows, Jennifer R.S.

AU - Marinescu, Voichita D.

AU - Sjöblom, Tobias

AU - Lindblad-Toh, Kerstin

PY - 2020

Y1 - 2020

N2 - Breast cancer (BC) is a genetically heterogeneous disease with high prevalence in Northern Europe. However, there has been no detailed investigation into the Scandinavian somatic landscape. Here, in a homogeneous Swedish cohort, we describe the somatic events underlying BC, leveraging a targeted next-generation sequencing approach. We designed a 20.5 Mb array targeting coding and regulatory regions of genes with a known role in BC (n = 765). The selected genes were either from human BC studies (n = 294) or from within canine mammary tumor associated regions (n = 471). A set of predominantly estrogen receptor positive tumors (ER + 85%) and their normal tissue counterparts (n= 61) were sequenced to ~ 140 × and 85 × mean target coverage, respectively. MuTect2 and VarScan2 were employed to detect single nucleotide variants (SNVs) and copy number aberrations (CNAs), while MutSigCV (SNVs) and GISTIC (CNAs) algorithms estimated the significance of recurrent somatic events. The significantly mutated genes (q ≤ 0.01) were PIK3CA (28% of patients), TP53 (21%) and CDH1 (11%). However, histone modifying genes contained the largest number of variants (KMT2C and ARID1A, together 28%). Mutations in KMT2C were mutually exclusive with PI3KCA mutations (p ≤ 0. 001) and half of these affect the formation of a functional PHD domain. The tumor suppressor CDK10 was deleted in 80% of the cohort while the oncogene MDM4 was amplified. Mutational signature analyses pointed towards APOBEC deaminase activity (COSMIC signature 2) and DNA mismatch repair (COSMIC signature 6). We noticed two significantly distinct patterns related to patient age; TP53 being more mutated in the younger group (29% vs 9% of patients) and CDH23 mutations were absent from the older group. The increased somatic mutation prevalence in the histone modifying genes KMT2C and ARID1A distinguishes the Swedish cohort from previous studies. KMT2C regulates enhancer activation and assists tumor proliferation in a hormone-rich environment, possibly pointing to a role in ER + BC, especially in older cases. Finally, age of onset appears to affect the mutational landscape suggesting that a larger age-diverse population incorporating more molecular subtypes should be studied to elucidate the underlying mechanisms.

AB - Breast cancer (BC) is a genetically heterogeneous disease with high prevalence in Northern Europe. However, there has been no detailed investigation into the Scandinavian somatic landscape. Here, in a homogeneous Swedish cohort, we describe the somatic events underlying BC, leveraging a targeted next-generation sequencing approach. We designed a 20.5 Mb array targeting coding and regulatory regions of genes with a known role in BC (n = 765). The selected genes were either from human BC studies (n = 294) or from within canine mammary tumor associated regions (n = 471). A set of predominantly estrogen receptor positive tumors (ER + 85%) and their normal tissue counterparts (n= 61) were sequenced to ~ 140 × and 85 × mean target coverage, respectively. MuTect2 and VarScan2 were employed to detect single nucleotide variants (SNVs) and copy number aberrations (CNAs), while MutSigCV (SNVs) and GISTIC (CNAs) algorithms estimated the significance of recurrent somatic events. The significantly mutated genes (q ≤ 0.01) were PIK3CA (28% of patients), TP53 (21%) and CDH1 (11%). However, histone modifying genes contained the largest number of variants (KMT2C and ARID1A, together 28%). Mutations in KMT2C were mutually exclusive with PI3KCA mutations (p ≤ 0. 001) and half of these affect the formation of a functional PHD domain. The tumor suppressor CDK10 was deleted in 80% of the cohort while the oncogene MDM4 was amplified. Mutational signature analyses pointed towards APOBEC deaminase activity (COSMIC signature 2) and DNA mismatch repair (COSMIC signature 6). We noticed two significantly distinct patterns related to patient age; TP53 being more mutated in the younger group (29% vs 9% of patients) and CDH23 mutations were absent from the older group. The increased somatic mutation prevalence in the histone modifying genes KMT2C and ARID1A distinguishes the Swedish cohort from previous studies. KMT2C regulates enhancer activation and assists tumor proliferation in a hormone-rich environment, possibly pointing to a role in ER + BC, especially in older cases. Finally, age of onset appears to affect the mutational landscape suggesting that a larger age-diverse population incorporating more molecular subtypes should be studied to elucidate the underlying mechanisms.

U2 - 10.1038/s41598-020-74580-1

DO - 10.1038/s41598-020-74580-1

M3 - Journal article

C2 - 33168853

AN - SCOPUS:85095701882

VL - 10

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 19304

ER -

ID: 251586909