Whole-genome sequencing reveals clinically relevant insights into the aetiology of familial breast cancers.


Journal

Annals of oncology : official journal of the European Society for Medical Oncology
ISSN: 1569-8041
Titre abrégé: Ann Oncol
Pays: England
ID NLM: 9007735

Informations de publication

Date de publication:
01 07 2019
Historique:
pubmed: 16 5 2019
medline: 24 6 2020
entrez: 16 5 2019
Statut: ppublish

Résumé

Whole-genome sequencing (WGS) is a powerful method for revealing the diversity and complexity of the somatic mutation burden of tumours. Here, we investigated the utility of tumour and matched germline WGS for understanding aetiology and treatment opportunities for high-risk individuals with familial breast cancer. We carried out WGS on 78 paired germline and tumour DNA samples from individuals carrying pathogenic variants in BRCA1 (n = 26) or BRCA2 (n = 22) or from non-carriers (non-BRCA1/2; n = 30). Matched germline/tumour WGS and somatic mutational signature analysis revealed patients with unreported, dual pathogenic germline variants in cancer risk genes (BRCA1/BRCA2; BRCA1/MUTYH). The strategy identified that 100% of tumours from BRCA1 carriers and 91% of tumours from BRCA2 carriers exhibited biallelic inactivation of the respective gene, together with somatic mutational signatures suggestive of a functional deficiency in homologous recombination. A set of non-BRCA1/2 tumours also had somatic signatures indicative of BRCA-deficiency, including tumours with BRCA1 promoter methylation, and tumours from carriers of a PALB2 pathogenic germline variant and a BRCA2 variant of uncertain significance. A subset of 13 non-BRCA1/2 tumours from early onset cases were BRCA-proficient, yet displayed complex clustered structural rearrangements associated with the amplification of oncogenes and pathogenic germline variants in TP53, ATM and CHEK2. Our study highlights the role that WGS of matched germline/tumour DNA and the somatic mutational signatures can play in the discovery of pathogenic germline variants and for providing supporting evidence for variant pathogenicity. WGS-derived signatures were more robust than germline status and other genomic predictors of homologous recombination deficiency, thus impacting the selection of platinum-based or PARP inhibitor therapy. In this first examination of non-BRCA1/2 tumours by WGS, we illustrate the considerable heterogeneity of these tumour genomes and highlight that complex genomic rearrangements may drive tumourigenesis in a subset of cases.

Sections du résumé

BACKGROUND
Whole-genome sequencing (WGS) is a powerful method for revealing the diversity and complexity of the somatic mutation burden of tumours. Here, we investigated the utility of tumour and matched germline WGS for understanding aetiology and treatment opportunities for high-risk individuals with familial breast cancer.
PATIENTS AND METHODS
We carried out WGS on 78 paired germline and tumour DNA samples from individuals carrying pathogenic variants in BRCA1 (n = 26) or BRCA2 (n = 22) or from non-carriers (non-BRCA1/2; n = 30).
RESULTS
Matched germline/tumour WGS and somatic mutational signature analysis revealed patients with unreported, dual pathogenic germline variants in cancer risk genes (BRCA1/BRCA2; BRCA1/MUTYH). The strategy identified that 100% of tumours from BRCA1 carriers and 91% of tumours from BRCA2 carriers exhibited biallelic inactivation of the respective gene, together with somatic mutational signatures suggestive of a functional deficiency in homologous recombination. A set of non-BRCA1/2 tumours also had somatic signatures indicative of BRCA-deficiency, including tumours with BRCA1 promoter methylation, and tumours from carriers of a PALB2 pathogenic germline variant and a BRCA2 variant of uncertain significance. A subset of 13 non-BRCA1/2 tumours from early onset cases were BRCA-proficient, yet displayed complex clustered structural rearrangements associated with the amplification of oncogenes and pathogenic germline variants in TP53, ATM and CHEK2.
CONCLUSIONS
Our study highlights the role that WGS of matched germline/tumour DNA and the somatic mutational signatures can play in the discovery of pathogenic germline variants and for providing supporting evidence for variant pathogenicity. WGS-derived signatures were more robust than germline status and other genomic predictors of homologous recombination deficiency, thus impacting the selection of platinum-based or PARP inhibitor therapy. In this first examination of non-BRCA1/2 tumours by WGS, we illustrate the considerable heterogeneity of these tumour genomes and highlight that complex genomic rearrangements may drive tumourigenesis in a subset of cases.

Identifiants

pubmed: 31090900
pii: S0923-7534(19)31238-4
doi: 10.1093/annonc/mdz132
pmc: PMC6637375
mid: EMS83580
pii:
doi:

Substances chimiques

BRCA1 Protein 0
BRCA1 protein, human 0
BRCA2 Protein 0
BRCA2 protein, human 0
DNA, Neoplasm 0
Fanconi Anemia Complementation Group N Protein 0
PALB2 protein, human 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1071-1079

Subventions

Organisme : Wellcome Trust
ID : 100183
Pays : United Kingdom
Organisme : Cancer Research UK
ID : A23433
Pays : United Kingdom

Commentaires et corrections

Type : CommentIn

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society for Medical Oncology.

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Auteurs

K Nones (K)

Medical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

J Johnson (J)

Faculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD.

F Newell (F)

Medical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

A M Patch (AM)

Medical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

H Thorne (H)

kConFab Investigators, The Peter MacCallum Cancer Centre, Melbourne, VIC; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC.

S H Kazakoff (SH)

Medical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

X M de Luca (XM)

Faculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD.

M T Parsons (MT)

Molecular Cancer Epidemiology Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

K Ferguson (K)

Faculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD.

L E Reid (LE)

Faculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD.

A E McCart Reed (AE)

Faculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD.

S Srihari (S)

Faculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD; Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD.

V Lakis (V)

Medical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

A L Davidson (AL)

Medical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD; Faculty of Medicine, The University of Queensland, Brisbane, QLD.

P Mukhopadhyay (P)

Medical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

O Holmes (O)

Genome Informatics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

Q Xu (Q)

Genome Informatics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

S Wood (S)

Genome Informatics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

C Leonard (C)

Genome Informatics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
kConFab Investigators, The Peter MacCallum Cancer Centre, Melbourne, VIC; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC.
ABCTB Investigators, University of Sydney at the Westmead Institute for Medical Research, Sydney, NSW.
Faculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD.

J Beesley (J)

Cancer Genetics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

J M Harris (JM)

Faculty of Health, School Biomedical Science - Queensland University of Technology, Brisbane, QLD, Australia.

D Barnes (D)

Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge.

A Degasperi (A)

MRC Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, Cambridge; Department of Medical Genetics, The Clinical School, University of Cambridge, Cambridge, UK.

M A Ragan (MA)

Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD.

A B Spurdle (AB)

Molecular Cancer Epidemiology Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

K K Khanna (KK)

Signal Transduction Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

S R Lakhani (SR)

Faculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD; Royal Brisbane & Women's Hospital, Pathology Queensland, Brisbane, QLD, Australia.

J V Pearson (JV)

Genome Informatics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

S Nik-Zainal (S)

MRC Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, Cambridge; Department of Medical Genetics, The Clinical School, University of Cambridge, Cambridge, UK.

G Chenevix-Trench (G)

Cancer Genetics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.

N Waddell (N)

Medical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD. Electronic address: nic.waddell@qimrberghofer.edu.au.

P T Simpson (PT)

Faculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD. Electronic address: p.simpson@uq.edu.au.

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