Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/106967
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Type: Journal article
Title: Cutting edge genomics reveal new insights into tumour development, disease progression and therapeutic impacts in multiple myeloma
Author: Dutta, A.
Hewett, D.
Fink, J.
Grady, J.
Zannettino, A.
Citation: British Journal of Haematology, 2017; 178(2):196-208
Publisher: Wiley
Issue Date: 2017
ISSN: 0007-1048
1365-2141
Statement of
Responsibility: 
Ankit K. Dutta, Duncan R. Hewett, J. Lynn Fink, John P. Grady, and Andrew C.W. Zannettino
Abstract: Multiple Myeloma (MM) is a haematological malignancy characterised by the clonal expansion of plasma cells (PCs) within the bone marrow. Despite advances in therapy, MM remains a largely incurable disease with a median survival of 6 years. In almost all cases, the development of MM is preceded by the benign PC condition Monoclonal Gammopathy of Undetermined Significance (MGUS). Recent studies show that the transformation of MGUS to MM is associated with complex genetic changes. Understanding how these changes contribute to evolution will present targets for clinical intervention. We discuss three models of MM evolution; the linear, the expansionist and the intraclonal heterogeneity models. Of particular interest is the intraclonal heterogeneity model. Here, distinct populations of MM PCs carry differing combinations of genetic mutations. Acquisition of additional mutations can contribute to subclonal lineages where "driver" mutations may influence selective pressure and dominance, and "passenger" mutations are neutral in their effects. Furthermore, studies show that clinical intervention introduces additional selective pressure on tumour cells and can influence subclone survival, leading to therapy resistance. This review discusses how Next Generation Sequencing approaches are revealing critical insights into the genetics of MM development, disease progression and treatment. MM disease progression will illuminate possible mechanisms underlying the tumour.
Keywords: Multiple myeloma; genomics; tumour evolution; intraclonal heterogeneity; clinical impacts
Rights: © 2017 John Wiley & Sons Ltd
DOI: 10.1111/bjh.14649
Grant ID: NHMRC
Published version: http://dx.doi.org/10.1111/bjh.14649
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