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APOBEC family mutational signatures are associated with poor prognosis translocations in multiple myeloma

Lookup NU author(s): Professor Graham Jackson

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Abstract

We have sequenced 463 presenting cases of myeloma entered into the UK Myeloma XI study using whole exome sequencing. Here we identify mutations induced as a consequence of misdirected AID in the partner oncogenes of IGH translocations, which are activating and associated with impaired clinical outcome. An APOBEC mutational signature is seen in 3.8% of cases and is linked to the translocation- mediated deregulation of MAF and MAFB, a known poor prognostic factor. Patients with this signature have an increased mutational load and a poor prognosis. Loss of MAF or MAFB expression results in decreased APOBEC3B and APOBEC4 expression, indicating a transcriptional control mechanism. Kataegis, a further mutational pattern associated with APOBEC deregulation, is seen at the sites of the MYC translocation. The APOBEC mutational signature seen in myeloma is, therefore, associated with poor prognosis primary and secondary translocations and the molecular mechanisms involved in generating them.


Publication metadata

Author(s): Walker BA, Wardell CP, Murison A, Boyle EM, Begum DB, Dahir NM, Proszek PZ, Melchor L, Pawlyn C, Kaiser MF, Johnson DC, Qiang YW, Jones JR, Cairns DA, Gregory WM, Owen RG, Cook G, Drayson MT, Jackson GH, Davies FE, Morgan GJ

Publication type: Article

Publication status: Published

Journal: Nature Communications

Year: 2015

Volume: 6

Online publication date: 23/04/2015

Acceptance date: 24/03/2015

ISSN (electronic): 2041-1723

Publisher: Nature Publishing Group

URL: http://dx.doi.org/10.1038/ncomms7997

DOI: 10.1038/ncomms7997


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Funding

Funder referenceFunder name
Institute of Cancer Research Tumour Profiling Unit
Myeloma UK program grant
National Institute of Health Biomedical Research Centre at the Royal Marsden Hospital
A17761Cancer Research UK CTAAC sample collection grants
A12136Cancer Research UK CTAAC sample collection grants
A14261Cancer Research UK Biomarkers and Imaging Discovery and Development grant

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