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Browsing by Author "Bauer, Michael A."
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Item Differential RNA splicing as a potentially important driver mechanism in multiple myeloma(Ferrata Storti Foundation, 2021-03-01) Bauer, Michael A.; Ashby, Cody; Wardell, Christopher; Boyle, Eileen M.; Ortiz, Maria; Flynt, Erin; Thakurta, Anjan; Morgan, Gareth; Walker, Brian A.; Medicine, School of MedicineDisruption of the normal splicing patterns of RNA is a major factor in the pathogenesis of a number of diseases. Increasingly research has shown the strong influence that splicing patterns can have on cancer progression. Multiple Myeloma is a molecularly heterogeneous disease classified by the presence of key translocations, gene expression profiles and mutations but the splicing patterns in MM remains largely unexplored. We take a multifaceted approach to define the extent and impact of alternative splicing in MM. We look at the spliceosome component, SF3B1, with hotspot mutations (K700E and K666T/Q) shown to result in an increase in alternative splicing in other cancers. We discovered a number of differentially spliced genes in comparison of the SF3B1 mutant and wild type samples that included, MZB1, DYNLL1, TMEM14C and splicing related genes DHX9, CLASRP, and SNRPE. We identified a broader role for abnormal splicing showing clear differences in the extent of novel splice variants in the different translocation groups. We show that a high number of novel splice loci is associated with adverse survival and an ultra-high risk group. The enumeration of patterns of alternative splicing has the potential to refine MM classification and to aid in the risk stratification of patients.Item 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 MedicineDeciphering 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.Item 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 MedicineSmoldering 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.