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      Breaking point: the genesis and impact of structural variation in tumours

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          Abstract

          Somatic structural variants undoubtedly play important roles in driving tumourigenesis. This is evident despite the substantial technical challenges that remain in accurately detecting structural variants and their breakpoints in tumours and in spite of our incomplete understanding of the impact of structural variants on cellular function. Developments in these areas of research contribute to the ongoing discovery of structural variation with a clear impact on the evolution of the tumour and on the clinical importance to the patient. Recent large whole genome sequencing studies have reinforced our impression of each tumour as a unique combination of mutations but paradoxically have also discovered similar genome-wide patterns of single-nucleotide and structural variation between tumours. Statistical methods have been developed to deconvolute mutation patterns, or signatures, that recur across samples, providing information about the mutagens and repair processes that may be active in a given tumour. These signatures can guide treatment by, for example, highlighting vulnerabilities in a particular tumour to a particular chemotherapy. Thus, although the complete reconstruction of the full evolutionary trajectory of a tumour genome remains currently out of reach, valuable data are already emerging to improve the treatment of cancer.

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          Most cited references55

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          Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines

          The Cancer Genome Atlas (TCGA) cancer genomics dataset includes over ten-thousand tumor-normal exome pairs across 33 different cancer types, in total >400 TB of raw data files requiring analysis. Here we describe the Multi-Center Mutation Calling in Multiple Cancers (MC3) project, our effort to generate a comprehensive encyclopedia of somatic mutation calls for the TCGA data to enable robust cross-tumor-type analyses. Our approach accounts for variance and batch effects introduced by the rapid advancement of DNA extraction, hybridization-capture, sequencing, and analysis methods over time. We present best practices for applying an ensemble of seven mutation-calling algorithms with scoring and artifact filtering. The dataset created by this analysis includes 3.5 million somatic variants and forms the basis for PanCan Atlas papers. The results have been made available to the research community along with the methods used to generate them. This project is the result of collaboration from a number of institutes and demonstrates how team science drives extremely large genomics projects. The MC3 project is a variant calling of over 10,000 cancer exome samples from 33 cancer types. Over 3 million somatic variants were detected using 7 different methods developed from institutions across the United States. These variants formed the basis for the PanCan Atlas papers.
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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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              COMPLEX LANDSCAPES OF SOMATIC REARRANGEMENT IN HUMAN BREAST CANCER GENOMES

              SUMMARY Multiple somatic rearrangements are often found in cancer genomes. However, the underlying processes of rearrangement and their contribution to cancer development are poorly characterised. Here, we employed a paired-end sequencing strategy to identify somatic rearrangements in breast cancer genomes. There are more rearrangements in some breast cancers than previously appreciated. Rearrangements are more frequent over gene footprints and most are intrachromosomal. Multiple architectures of rearrangement are present, but tandem duplications are common in some cancers, perhaps reflecting a specific defect in DNA maintenance. Short overlapping sequences at most rearrangement junctions suggest that these have been mediated by non-homologous end-joining DNA repair, although varying sequence patterns indicate that multiple processes of this type are operative. Several expressed in-frame fusion genes were identified but none were recurrent. The study provides a new perspective on cancer genomes, highlighting the diversity of somatic rearrangements and their potential contribution to cancer development.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Writing – Original Draft PreparationRole: Writing – Review & Editing
                Role: ConceptualizationRole: Funding AcquisitionRole: SupervisionRole: Writing – Original Draft PreparationRole: Writing – Review & Editing
                Journal
                F1000Res
                F1000Res
                F1000Research
                F1000Research
                F1000 Research Limited (London, UK )
                2046-1402
                19 November 2018
                2018
                : 7
                : F1000 Faculty Rev-1814
                Affiliations
                [1 ]MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH42XU, UK
                Author notes

                No competing interests were disclosed.

                Author information
                https://orcid.org/0000-0002-2272-1277
                https://orcid.org/0000-0003-1765-4118
                Article
                10.12688/f1000research.16079.1
                6248261
                3efc3c31-8c11-465f-86e4-2aaacfbe9710
                Copyright: © 2018 Ewing A and Semple C

                This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 9 November 2018
                Funding
                Funded by: UKRI Innovation Fellowship
                Funded by: UK Medical Research Council (MRC)
                The authors are supported by core funding of the UK Medical Research Council (MRC) to the MRC Human Genetics Unit and a UKRI Innovation Fellowship to Ailith Ewing.
                The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Review
                Articles

                structural variation,cancer,tumourigenesis,dna double-strand breaks,mutational signatures,whole genome sequencing

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