Browsing by Author "Wardell, Christopher P."

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    Plasma cells expression from smouldering myeloma to myeloma reveals the importance of the PRC2 complex, cell cycle progression, and the divergent evolutionary pathways within the different molecular subgroups
    (Springer, 2022-02) Boyle, Eileen M.; Rosenthal, Adam; Ghamlouch, Hussein; Wang, Yan; Farmer, Phillip; Rutherford, Michael; Ashby, Cody; Bauer, Michael; Johnson, Sarah K.; Wardell, Christopher P.; Wang, Yubao; Hoering, Antje; Schinke, Carolina; Thanendrarajan, Sharmilan; Zangari, Maurizio; Barlogie, Bart; Dhodapkar, Madhav V.; Davies, Faith E.; Morgan, Gareth J.; van Rhee, Frits; Walker, Brian A.; Medicine, School of Medicine
    Sequencing studies have shed some light on the pathogenesis of progression from smouldering multiple myeloma (SMM) and symptomatic multiple myeloma (MM). Given the scarcity of smouldering samples, little data are available to determine which translational programmes are dysregulated and whether the mechanisms of progression are uniform across the main molecular subgroups. In this work, we investigated 223 SMM and 1348 MM samples from the University of Arkansas for Medical Sciences (UAMS) for which we had gene expression profiling (GEP). Patients were analysed by TC-7 subgroup for gene expression changes between SMM and MM. Among the commonly dysregulated genes in each subgroup, PHF19 and EZH2 highlight the importance of the PRC2.1 complex. We show that subgroup specific differences exist even at the SMM stage of disease with different biological features driving progression within each TC molecular subgroup. These data suggest that MMSET SMM has already transformed, but that the other precursor diseases are distinct clinical entities from their symptomatic counterpart.
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    Structural variants shape the genomic landscape and clinical outcome of multiple myeloma
    (Springer Nature, 2022-05-30) Ashby, Cody; Boyle, Eileen M.; Bauer, Michael A.; Mikulasova, Aneta; Wardell, Christopher P.; Williams, Louis; Siegel, Ariel; Blaney, Patrick; Braunstein, Marc; Kaminetsky, David; Keats, Jonathan; Maura, Francesco; Landgren, Ola; Walker, Brian A.; Davies, Faith E.; Morgan, Gareth J.; Medicine, School of Medicine
    Deciphering genomic architecture is key to identifying novel disease drivers and understanding the mechanisms underlying myeloma initiation and progression. In this work, using the CoMMpass dataset, we show that structural variants (SV) occur in a nonrandom fashion throughout the genome with an increased frequency in the t(4;14), RB1, or TP53 mutated cases and reduced frequency in t(11;14) cases. By mapping sites of chromosomal rearrangements to topologically associated domains and identifying significantly upregulated genes by RNAseq we identify both predicted and novel putative driver genes. These data highlight the heterogeneity of transcriptional dysregulation occurring as a consequence of both the canonical and novel structural variants. Further, it shows that the complex rearrangements chromoplexy, chromothripsis and templated insertions are common in MM with each variant having its own distinct frequency and impact on clinical outcome. Chromothripsis is associated with a significant independent negative impact on clinical outcome in newly diagnosed cases consistent with its use alongside other clinical and genetic risk factors to identify prognosis.
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    The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
    (Springer Nature, 2021-01-12) Boyle, Eileen M.; Deshpande, Shayu; Tytarenko, Ruslana; Ashby, Cody; Wang, Yan; Bauer, Michael A.; Johnson, Sarah K.; Wardell, Christopher P.; Thanendrarajan, Sharmilan; Zangari, Maurizio; Facon, Thierry; Dumontet, Charles; Barlogie, Bart; Arbini, Arnaldo; Rustad, Even H.; Maura, Francesco; Landgren, Ola; Zhan, Fenghuang; van Rhee, Frits; Schinke, Carolina; Davies, Faith E.; Morgan, Gareth J.; Walker, Brian A.; Medicine, School of Medicine
    Smoldering myeloma (SMM) is associated with a high-risk of progression to myeloma (MM). We report the results of a study of 82 patients with both targeted sequencing that included a capture of the immunoglobulin and MYC regions. By comparing these results to newly diagnosed myeloma (MM) we show fewer NRAS and FAM46C mutations together with fewer adverse translocations, del(1p), del(14q), del(16q), and del(17p) in SMM consistent with their role as drivers of the transition to MM. KRAS mutations are associated with a shorter time to progression (HR 3.5 (1.5-8.1), p = 0.001). In an analysis of change in clonal structure over time we studied 53 samples from nine patients at multiple time points. Branching evolutionary patterns, novel mutations, biallelic hits in crucial tumour suppressor genes, and segmental copy number changes are key mechanisms underlying the transition to MM, which can precede progression and be used to guide early intervention strategies.