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

      research-article
      1 , 2 , 1 , 1 , 3 , 4 , 1 , 2 , 5 , 2 , 2 , 2 , 2 , 6 , 1 , 1 , 7 , 1 , 8 , 8 , 8 , 8 , The Kathleen Cuningham Foundation Consortium for Research into Familial Aspects of Breast Cancer (kConFab) 3 , 4 , The Australian Breast Cancer Tissue Bank (ABCTB) 9 , The Brisbane Breast Bank (BBB) 2 , 10 , 11 , 12 , 13 , 14 , 6 , 5 , 15 , 2 , 16 , 8 , 13 , 14 , 10 , 1 , 2
      Annals of Oncology
      Oxford University Press
      familial breast cancers, BRCA1, BRCA2, whole-genome sequencing, mutation signatures

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          Abstract

          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.

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          Most cited references16

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          Genome sequencing of pediatric medulloblastoma links catastrophic DNA rearrangements with TP53 mutations.

          Genomic rearrangements are thought to occur progressively during tumor development. Recent findings, however, suggest an alternative mechanism, involving massive chromosome rearrangements in a one-step catastrophic event termed chromothripsis. We report the whole-genome sequencing-based analysis of a Sonic-Hedgehog medulloblastoma (SHH-MB) brain tumor from a patient with a germline TP53 mutation (Li-Fraumeni syndrome), uncovering massive, complex chromosome rearrangements. Integrating TP53 status with microarray and deep sequencing-based DNA rearrangement data in additional patients reveals a striking association between TP53 mutation and chromothripsis in SHH-MBs. Analysis of additional tumor entities substantiates a link between TP53 mutation and chromothripsis, and indicates a context-specific role for p53 in catastrophic DNA rearrangements. Among these, we observed a strong association between somatic TP53 mutations and chromothripsis in acute myeloid leukemia. These findings connect p53 status and chromothripsis in specific tumor types, providing a genetic basis for understanding particularly aggressive subtypes of cancer. Copyright © 2012 Elsevier Inc. All rights reserved.
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            A mutational signature reveals alterations underlying deficient homologous recombination repair in breast cancer

            Paz Polak, Jaegil Kim, Lior Z. Braunstein and colleagues have identified patterns of genome-wide mutation in certain breast cancers that can be used to identify those with DNA-repair deficiencies that make the tumor more likely to respond to therapies based on PARP inhibitors or platinum. In contrast, oncogenic mutations in several other DNA-repair genes do not generate these patterns.
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              Genomic scars as biomarkers of homologous recombination deficiency and drug response in breast and ovarian cancers

              Poly (ADP-ribose) polymerase (PARP) inhibitors and platinum-based chemotherapies have been found to be particularly effective in tumors that harbor deleterious germline or somatic mutations in the BRCA1 or BRCA2 genes, the products of which contribute to the conservative homologous recombination repair of DNA double-strand breaks. Nonetheless, several setbacks in clinical trial settings have highlighted some of the issues surrounding the investigation of PARP inhibitors, especially the identification of patients who stand to benefit from such drugs. One potential approach to finding this patient subpopulation is to examine the tumor DNA for evidence of a homologous recombination defect. However, although the genomes of many breast and ovarian cancers are replete with aberrations, the presence of numerous factors able to shape the genomic landscape means that only some of the observed DNA abnormalities are the outcome of a cancer cell’s inability to faithfully repair DNA double-strand breaks. Consequently, recently developed methods for comprehensively capturing the diverse ways in which homologous recombination deficiencies may arise beyond BRCA1/2 mutation have used DNA microarray and sequencing data to account for potentially confounding features in the genome. Scores capturing telomeric allelic imbalance, loss of heterozygosity (LOH) and large scale transition score, as well as the total number of coding mutations are measures that summarize the total burden of certain forms of genomic abnormality. By contrast, other studies have comprehensively catalogued different types of mutational pattern and their relative contributions to a given tumor sample. Although at least one study to explore the use of the LOH scar in a prospective clinical trial of a PARP inhibitor in ovarian cancer is under way, limitations that result in a relatively low positive predictive value for these biomarkers remain. Tumors whose genome has undergone one or more events that restore high-fidelity homologous recombination are likely to be misclassified as double-strand break repair-deficient and thereby sensitive to PARP inhibitors and DNA damaging chemotherapies as a result of prior repair deficiency and its genomic scarring. Therefore, we propose that integration of a genomic scar-based biomarker with a marker of resistance in a high genomic scarring burden context may improve the performance of any companion diagnostic for PARP inhibitors.
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                Author and article information

                Journal
                Ann Oncol
                Ann. Oncol
                annonc
                Annals of Oncology
                Oxford University Press
                0923-7534
                1569-8041
                July 2019
                15 May 2019
                15 May 2019
                : 30
                : 7 , Targeting the PI3-kinase pathway in triple-negative breast cancer
                : 1071-1079
                Affiliations
                [1 ]Medical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD
                [2 ]Faculty of Medicine, Centre for Clinical Research, The University of Queensland, Brisbane, QLD
                [3 ]kConFab Investigators, The Peter MacCallum Cancer Centre, Melbourne, VIC
                [4 ]Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC
                [5 ]Molecular Cancer Epidemiology Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD
                [6 ]Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD
                [7 ]Faculty of Medicine, The University of Queensland, Brisbane, QLD
                [8 ]Genome Informatics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD
                [9 ]ABCTB Investigators, University of Sydney at the Westmead Institute for Medical Research, Sydney, NSW
                [10 ]Cancer Genetics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD
                [11 ]Faculty of Health, School Biomedical Science – Queensland University of Technology, Brisbane, QLD, Australia
                [12 ]Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge
                [13 ]MRC Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, Cambridge
                [14 ]Department of Medical Genetics, The Clinical School, University of Cambridge, Cambridge, UK
                [15 ]Signal Transduction Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD
                [16 ]Royal Brisbane & Women’s Hospital, Pathology Queensland, Brisbane, QLD, Australia
                Author notes
                Correspondence to: Dr Peter T Simpson, UQ Centre for Clinical Research, The University of Queensland, Building 71/918, Royal Brisbane and Women's Hospital, Herston, QLD 4029, Australia. Tel: +61-733466051; E-mail: p.simpson@ 123456uq.edu.au
                Dr Nic Waddell, Medical Genomics Group, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia. Tel: +61- 738453538; E-mail: nic.waddell@ 123456qimrberghofer.edu.au

                K. Nones, J. Johnson, N. Waddell and P. T. Simpson authors contributed equally to the study.

                Author information
                http://orcid.org/0000-0003-1925-5196
                http://orcid.org/0000-0001-6121-4019
                http://orcid.org/0000-0002-2564-5126
                http://orcid.org/0000-0001-5387-2791
                http://orcid.org/0000-0002-0713-6723
                http://orcid.org/0000-0001-5034-5996
                http://orcid.org/0000-0003-4543-8850
                http://orcid.org/0000-0002-4131-2065
                http://orcid.org/0000-0003-4209-2380
                http://orcid.org/0000-0001-6879-0596
                http://orcid.org/0000-0003-1672-7020
                http://orcid.org/0000-0003-1337-7897
                http://orcid.org/0000-0001-8650-5381
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                http://orcid.org/0000-0002-1878-2587
                http://orcid.org/0000-0002-3950-2476
                http://orcid.org/0000-0002-4816-8289
                Article
                mdz132
                10.1093/annonc/mdz132
                6637375
                31090900
                97b09de3-733c-47ab-9e51-29b1c36e79dd
                © The Author(s) 2019. Published by Oxford University Press on behalf of the European Society for Medical Oncology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                Page count
                Pages: 9
                Funding
                Funded by: NHMRC Australia project
                Award ID: APP1080985
                Award ID: APP1028742
                Funded by: NHMRC 10.13039/501100000925
                Award ID: APP1017028
                Award ID: APP1113867
                Funded by: Australian Government Research Training Program (RTP) Scholarship
                Funded by: Keith Boden fellowship
                Funded by: NHMRC 10.13039/501100000925
                Award ID: APP1139071
                Award ID: APP1061779
                Categories
                Original Articles
                Breast Tumors

                Oncology & Radiotherapy
                familial breast cancers,brca1,brca2,whole-genome sequencing,mutation signatures

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