Evidence map›Paper›PMID 31090900›Full record

ArticleAnnals of oncology : official journal of the European Society for Medical Oncology2019

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

K Nones, J Johnson, F Newell, A M Patch, H Thorne, S H Kazakoff, X M de Luca, M T Parsons, K Ferguson, L E Reid and 25 more

Open access · greenAbstract read
In one paragraph

Article in Annals of oncology : official journal of the European Society for Medical Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
4.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 95 citations in OpenAlex.

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  11. Molecular Basis of Breast Tumor Heterogeneity.Advances in experimental medicine and biology · 2025
    Review
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1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

35 authors at 5 institutions in 3 countries.

K NonesMedical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
J JohnsonFaculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD.
F NewellMedical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
A M PatchMedical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
H ThornekConFab Investigators, The Peter MacCallum Cancer Centre, Melbourne, VIC; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC.
S H KazakoffMedical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
X M de LucaFaculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD.
M T ParsonsMolecular Cancer Epidemiology Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
K FergusonFaculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD.
L E ReidFaculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD.
A E McCart ReedFaculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD.
S SrihariFaculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD; Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD.
V LakisMedical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
A L DavidsonMedical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD; Faculty of Medicine, The University of Queensland, Brisbane, QLD.
P MukhopadhyayMedical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
O HolmesGenome Informatics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
Q XuGenome Informatics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
S WoodGenome Informatics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
C LeonardGenome Informatics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
Kathleen Cuningham Foundation Consortium for Research into Familial Aspects of Breast Cancer (kConFab)kConFab Investigators, The Peter MacCallum Cancer Centre, Melbourne, VIC; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC.
Australian Breast Cancer Tissue Bank (ABCTB)ABCTB Investigators, University of Sydney at the Westmead Institute for Medical Research, Sydney, NSW.
Brisbane Breast Bank (BBB)Faculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD.
J BeesleyCancer Genetics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
J M HarrisFaculty of Health, School Biomedical Science - Queensland University of Technology, Brisbane, QLD, Australia.
D BarnesDepartment of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge.
A DegasperiMRC Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, Cambridge; Department of Medical Genetics, The Clinical School, University of Cambridge, Cambridge, UK.
M A RaganInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD.
A B SpurdleMolecular Cancer Epidemiology Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
K K KhannaSignal Transduction Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
S R LakhaniFaculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD; Royal Brisbane & Women's Hospital, Pathology Queensland, Brisbane, QLD, Australia.
J V PearsonGenome Informatics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
S Nik-ZainalMRC Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, Cambridge; Department of Medical Genetics, The Clinical School, University of Cambridge, Cambridge, UK.
G Chenevix-TrenchCancer Genetics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD.
N WaddellMedical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD. Electronic address: nic.waddell@qimrberghofer.edu.au.
P T SimpsonFaculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD. Electronic address: p.simpson@uq.edu.au.
QIMR Berghofer Medical Research Institute · AUThe University of Queensland · AUUniversity of Cambridge · GBQueensland University of Technology · AUThe University of Melbourne · AU

Funding

Cancer Research UK 20861Cancer Research UK 22932Cancer Research UK 23433Cancer Research UK 23916Cancer Research UK 27815Cancer Research UK A23433Wellcome Trust 100183
6 · The paper itself

Abstract

backgroundWhole-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

methodsWe 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).

resultsMatched 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.

conclusionsOur 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.

Indexed as

Germ-Line MutationAdultBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsDNA, NeoplasmFanconi Anemia Complementation Group N ProteinFemaleGenetic Predisposition to DiseaseHumansMiddle AgedPrognosisWhole Genome SequencingBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanDNA, NeoplasmFanconi Anemia Complementation Group N ProteinPALB2 protein, humanBRCA1BRCA2familial breast cancersmutation signatureswhole-genome sequencing

Identifiers

PMID31090900
PMCPMC6637375
OpenAlexW2946104064

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.