Cited by 45Cancer Genomics and DiagnosticsGenomic variations and chromosomal abnormalitiesGenome Rearrangement Algorithms

Mutational mechanisms of amplifications revealed by analysis of clustered rearrangements in breast cancers

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Głodzik, D., Purdie, C., Rye, I.H., Simpson, P.T., Staaf, J., Span, P.N., Russnes, H.G., Nik-Zainal, S.·2018·Annals of Oncology

Abstract

Background: Complex clusters of rearrangements are a challenge in interpretation of cancer genomes. Some clusters of rearrangements demarcate clear amplifications of driver oncogenes but others are less well understood. A detailed analysis of rearrangements within these complex clusters could reveal new insights into selection and underlying mutational mechanisms. Patients and methods: Here, we systematically investigate rearrangements that are densely clustered in individual tumours in a cohort of 560 breast cancers. Applying an agnostic approach, we identify 21 hotspots where clustered rearrangements recur across cancers. Results: Some hotspots coincide with known oncogene loci including CCND1, ERBB2, ZNF217, chr8:ZNF703/FGFR1, IGF1R, and MYC. Others contain cancer genes not typically associated with breast cancer: MCL1, PTP4A1, and MYB. Intriguingly, we identify clustered rearrangements that physically connect distant hotspots. In particular, we observe simultaneous amplification of chr8:ZNF703/FGFR1 and chr11:CCND1 where deep analysis reveals that a chr8-chr11 translocation is likely to be an early, critical, initiating event. Conclusions: We present an overview of complex rearrangements in breast cancer, highlighting a potential new way for detecting drivers and revealing novel mechanistic insights into the formation of two common amplicons.

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  1. [16]PCAWG-Structural Variation Working Group, t.P.N., Selective and mechanistic sources of recurrent rearrangements across the cancer genome. bioRxiv 2018; 10.1101/187609(187609) (6 November 2018, date last accessed). · DOI

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Authors
Głodzik, D., Purdie, C., Rye, I. H., Simpson, P. T., Staaf, J., Span, P. N., Russnes, H. G., & Nik-Zainal, S.
Affiliations
  • Lund University (SE)
  • Ninewells Hospital (GB)
  • Oslo University Hospital (NO)
  • The University of Queensland (AU)
  • Radboud University Medical Center (NL)
Venue
Annals of Oncology
Publisher
Elsevier BV
Published
2018-11
Volume
29
Issue
11
Pages
2223-2231
ISSN
0923-7534 (ISSN-L)
OpenAlex
W2892516835
Cited by
45
References
15
Citations by year
2026: 3 · 2025: 1 · 2023: 2 · 2022: 11 · 2021: 6 · 2020: 15 · 2019: 6
FWCI
2.11
Type
journal article
Language
en
Open access
Locations
  • Annals of Oncology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Discovery Research Portal (University of Dundee) (submittedVersion, cc-by)
  • Lund University Publications (Lund University) (submittedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • Radboud Repository (Radboud University) (submittedVersion, other-oa)
  • Apollo (cc-by)
Funders
  • Breast Cancer Somatic Genetics Study
  • BASIS
  • European Community's Seventh Framework Programme (FP7/2010-2014, 242006)
  • Wellcome Trust (077012/Z/05/Z)
  • Institut National du Cancer France (226-2009, 02-2011, 41-2012, 144-2008, 06-2012)
  • Korean Health Technology R&D Project
  • Ministry of Health & Welfare (A111218-SC01)
  • Wellcome Trust Strategic Award (101126/B/13/Z, EU-FP7-)
  • SUPPRESSTEM
  • Lund University
  • CRUK
  • Advanced Clinician Scientist Award (C60100/A23916)
  • IHR
  • HGR
  • Health Region South-East, Norway
  • Norwegian Cancer Society
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genome Rearrangement Algorithms
Keywords
breast cancer, gene amplification, mutational mechanisms, CCND1, ERBB2, ZNF217, IGF-1 receptor, c-Myc, Mcl-1, PTP4A1, MYB, chromosomal translocation, driver genes
MeSH terms
Whole Genome Sequencing, Adult, Aged, Aged, 80 and over, Algorithms, Breast, Breast Neoplasms, Carrier Proteins, Chromosomes, Human, Pair 11, Chromosomes, Human, Pair 8, Female, Gene Amplification, Humans, Middle Aged, Oncogenes, Translocation, Genetic, Age Distribution, Cyclin D1, Genomics, Receptor, Fibroblast Growth Factor, Type 1, Genetic Loci, Datasets as Topic

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