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Ena-DATASET-UAMS-31-12-2018-16:44:29:284-474 - samples

ABSTRACT: RNA from CD138+ plasma cells from patients with a plasma cell dyscrasia were sequenced using the TruSeq Stranded Total RNA Ribo-zero Gold kit (Illumina). Paired-end 75bp reads were generated on a NextSeq500 or HiSeq4000 (Illumina). The dataset consists of 1 MGUS sample, 5 SMM samples, 69 newly diagnosed myeloma samples, 1 relapsed myeloma sample, 1 previously treated myeloma samples, and 4 PCL samples. Matching whole genome sequencing data are available for these samples under study EGAS00001003164.

PROVIDER: EGAD00001004543 | EGA |

REPOSITORIES: EGA

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Project description:Smoldering myeloma (SMM) is a pre-malignant monoclonal gammopathy with a 10% annual risk to progress to active multiple myeloma (MM). SMM diagnostic criteria, as well of those of others monoclonal gammopathies, have been updated by the International Myeloma Working Group (IMWG) in 2014. In particular, the previously defined “ultra high-risk” SMM (characterized by the presence of specific biomarkers associated with a ≥ 80% risk of progression to symptomatic MM within 2 years) has been included among patients with active MM. SMM is biologically heterogeneous, including a subset of patients with biological pre-malignancy and a subset with biological malignancy who have not yet developed organ damage, defined as onset of the classical CRAB criteria or Myeloma Defining Events (MDE). Thus, SMM encompassed patients with a very low rate of progression to symptomatic MM, similar to patients with monoclonal gammopathy of uncertain significance (MGUS), as well as patients who acquired organ damage and progress to active MM within the first year from diagnosis. The molecular mechanisms involved in the SMM to MM progression are still far to be fully understood. Genomic studies indicate that the genetic alterations that characterize MM patients are already present in SMM ones, who present similar mutational and copy number alteration load. However, few data are available on the transcriptional profiles of SMM patients in relationship to the progression to active MM, overall indicating minimal differential expression either in coding or non-coding RNA fraction. To date, robust data are still lacking which describe the transcriptional profiles of plasma cells (PCs) from paired samples obtained at the time of SMM and at MM onset. Herein, we compared the transcriptome of purified CD138+ PCs from paired samples of SMM patients progressed to active MM (P-SMM), aimed at describing any possible common transcriptional discrepancy that may help to understand the intra-patient disease evolution; at the same time, we investigated the transcriptional differences between P-SMM and a subset of non-progressed SMM (NP-SMM) at a minimum of 36 months.

Project description:We have used genome-wide methylation microarrays to analyze differences in CpG methylation patterns in cells relevant to the pathogenesis of myeloma plasma cells, including B cells, normal plasma cells, MGUS, presentation myeloma, and plasma cell leukemia (PCL). We show that methylation patterns in these cell types are capable of distinguishing non-malignant from malignant cells and that the main reason for this difference is hypomethylation of the genome at the transition from MGUS to presentation myeloma. In addition, gene-specific hypermethylation was evident at the myeloma stage. Differential methylation was also evident at the transition from myeloma to PCL with re-methylation of the genome, specifically of genes involved in cell-cell signaling and cell adhesion, which may contribute to independence from the bone marrow microenvironment. There was a high degree of methylation variability within presentation myeloma samples and this was associated with the cytogenetic differences between samples. More specifically, we found that methylation subgroups were defined by translocations and hyperdiploidy, with t(4;14) myeloma having the largest impact on DNA methylation. Two groups of hyperdiploid samples were identified, based on unsupervised clustering, which had an impact on overall survival. Overall, DNA methylation has a large impact on disease progression and on myeloma cytogenetic subgroups. Bone marrow aspirates were obtained after informed consent. B cells (n=6) from normal individuals were selected from peripheral blood using CD19. Plasma cells (PC) from non-myeloma patients (normal plasma cell controls, n=3) as well as MGUS (n=4) and presentation myeloma patients (n=161) were selected to a purity of >90% using CD138 microbeads and magnet-assisted cell sorting (Miltenyi Biotech, Bisley, UK). Samples from PCL patients (n=7) were not CD138 selected but contained >90% plasma cell infiltration as determined by microscopy. In order to achieve a sufficient quantity of DNA some normal plasma cell control samples were pooled.

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Ena-DATASET-UAMS-31-12-2018-16:44:29:284-474 - samples

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