Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Gene Expression Profiling in Multiple Myeloma - Reporting of Entities, Risk and Targets in Clinical Routine

ABSTRACT: Gene expression profiling of CD138 purified bone marrow plasma cells of previoulsy untreated multiple myeloma patients and individuals with monoclonal gammopathy of uncertain significance (MGUS)

ORGANISM(S): Homo sapiens

DISEASE(S): myeloma

SUBMITTER: Dirk Hose

PROVIDER: E-MTAB-372 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Development of gene expression-based score to predict sensitivity of multiple myeloma cells to DNA methylation inhibitors.

Moreaux Jérôme J Rème Thierry T Leonard Wim W Veyrune Jean-Luc JL Requirand Guilhem G Goldschmidt Hartmut H Hose Dirk D Klein Bernard B

Molecular cancer therapeutics 20121018 12

Multiple myeloma is a plasma cell cancer with poor survival, characterized by the clonal expansion of multiple myeloma cells (MMC), primarily in the bone marrow. Novel compounds are currently tested in this disease, but partial or minor patients' responses are observed for most compounds used as a single agent. The design of predictors for drug efficacy could be most useful to better understand basic mechanisms targeted by these drugs and design clinical trials. In the current study, we report t ...[more]

PMID: 23087257

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Project description:MicroRNAs are small RNA species that regulate gene expression post-transcriptionally and are aberrantly expressed in many cancers including lymphoma. However, the role of microRNAs in the pathogenesis of multiple myeloma (MM) is poorly understood. We therefore elucidated the complete miRNome of purified tumor (CD138+) cells from 33 patients with MM, 5 patients with monoclonal gammopathy of undetermined significance (MGUS) and 9 disease controls. Unsupervised cluster analysis revealed that MM samples have a distinct microRNA expression profile. The majority of microRNAs aberrantly expressed in MM (109/129) were up-regulated. A comparison of these microRNAs with those aberrantly expressed in other B-cell and T-cell lymphomas revealed a surprising degree of similarity (~40%) suggesting the existence of a common lymphoma microRNA signature. We identified 39 microRNAs associated with the pre-malignant condition MGUS. Twenty-three (59%) of these were also aberrantly expressed in MM suggesting common microRNA expression events in MM progression. MM is characterized by multiple chromosomal abnormalities of varying prognostic significance. We identified specific microRNA signatures associated with the most common IgH translocations (t(4;14) and t(11;14)) and del(13q). Expression levels of these microRNAs were distinct between the genetic subtypes (by cluster analysis) and correctly predicted these abnormalities in >85% of cases using the support vector machine algorithm. Additionally, we identified microRNAs associated with light chain only myeloma, as well as IgG and IgA-type MM. Finally, we identified 32 microRNAs associated with event-free survival (EFS) in MM, ten of which were significant by univariate (logrank) survival analysis. In summary, this work has identified aberrantly expressed microRNAs associated with the diagnosis, pathogenesis and prognosis of MM, data which will prove an invaluable resource for understanding the role of microRNAs in this devastating disease. Plasma cells (CD138+) cells were purified from bone marrow samples of 33 patients with MM, 5 patients with monoclonal gammopathy of undetermined significance (MGUS) and 9 disease controls.

Dataset Information

Gene Expression Profiling in Multiple Myeloma - Reporting of Entities, Risk and Targets in Clinical Routine

Publications

Development of gene expression-based score to predict sensitivity of multiple myeloma cells to DNA methylation inhibitors.

Similar Datasets

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