Exomic microRNA Profiling of Bone Marrow Aspirate Plasma and Comparison with mRNA Profiles Used in the Clinical Management of Multiple Myeloma
2014
Exosome-mediated processes are increasingly being implicated in the pathobiology of many forms of solid tumors and hematologic malignancies. In the case of
blood cancers, an oncogenic role for
exosomeshas been demonstrated for
multiple myeloma(MM). An increased understanding of the abundance and disease association of extra-cellular
microRNAsin particular, may lead to opportinities to improve early detection and management of MM and precursor conditions. We performed
microRNAprofiling of cell-free
bone marrow aspirateplasma on a series of 100 patients with diagnoses of MGUS, active
multiple myelomaor relapsed
multiple myeloma. The
microRNAprofiles were compared between disease
status groupsand also individually with each patient’s routine MyPRS results (ie. GEP70 high/low risk and molecular subtype
gene signatures), generated from their malignant CD138+ plasma cells 1 .
MicroRNAswith patterns of expression associated with these clinically validated genomic (mRNA) signatures were investigated to determine if they (i) were known regulators of the genes used in MyPRS and (ii) in a cross-validated analysis, were able to predict the patients MyPRS risk group and molecular subtype. An additional series of paired peripheral blood and
bone marrow aspirates(isolated CD138+ plasma cells) were also
microRNAand MyPRS profiled, to further investigate the role and potential clinical utility of extracellular
microRNAsin
multiple myeloma. Results will be presented which describe the abundance of individual microRNA9s in realtion to disease status, including microRNA9s previously linked to the regulation of mRNA9s contained in the GEP70 signature. The ability to predict MGUS progression risk or active myeloma prognosis using molecular signatures in peripheral blood may increase access to, and adoption of, genomic technologies in the diagnosis and management of these related conditions. Reference: [1] van Laar R, Flinchum R, Brown N, et al. Translating a gene expression signature for
multiple myelomaprognosis into a robust high-throughput assay for clinical use. BMC Medical Genomics. 2014;7(1):25. Disclosures Van Laar: Signal Genetics: Employment, Equity Ownership. Flinchum: Signal Genetics: Employment. Nathan: Signal Genetics: Employment. Ramsey: Signal Genetics: Employment. Shaughnessy: Signal Genetics: Consultancy.
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