Project description:The metabolism of xenobiotics is regulated by phase I and II enzymes, and by transporters encoded by the absorption, distribution, metabolism, and excretion (ADME) genes. It is known that the activity of these proteins is influenced by the presence of polymorphic variants in the corresponding gene that can account for the inter-individual variability in both xenobiotic response/toxicity and disease predisposition. Exposure to pesticides and toxic substances, many of which are substrates of ADME-associated proteins, has been demonstrated to increase the risk of Multiple Myeloma (MM). To investigate the inter-individual variability of ADME genes as a risk factor for MM risk, we compared DMET Plus genotyping data from 65 MM patients with 59 CEU Hapmap controls (GPL17860).
Project description:Gene Expression profiling of 170 newly diagnosed Multiple Myeloma patients Gene Expression profiling of Multiple Myeloma Cells from Healthy donors and Multiple myeloma patients were profiled using Affymetrix Exon-1.0 ST microarrays
Project description:In the present study, the gene expression profiling was carried out to identify the gene targets affected by miRNAs deregulated in multiple myeloma. A gene expression signature was generated for 45 patients of multiple myeloma as compared to controls (Pooled from 10 Hodgkin's disease samples).
Project description:We performed Illumina Infinium whole-genome SNP-CN profiling of KMS11, MM.1S, and RPMI8226 multiple myeloma cell lines to detect gene copy number variants distinct to each cell line Three multiple myeloma cell lines (KMS11, MM.1S, and RPMI8226)
Project description:Samples in this series are pre-treatment bone marrow aspirates from multiple myeloma patients. Keywords = Multiple Myeloma, Bone Marrow, Pre-Treatment Keywords: other
Project description:The paper describes a model of multiple myeloma.
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This model is described in the article:
A mathematical model of cell equilibrium and joint cell formation in multiple myeloma
M.A. Koenders, R. Saso
Journal of Theoretical Biology 390 (2016) 73–79
Abstract:
In Multiple Myeloma Bone Disease healthy bone remodelling is affected by tumour cells by means of paracrine cytokinetic signalling in such a way that osteoclast formation is enhanced and the growth of osteoblast cells inhibited. The participating cytokines are described in the literature. Osteoclast-induced myeloma cell growth is also reported. Based on existing mathematical models for healthy bone remo- delling a three-way equilibrium model is presented for osteoclasts, osteoblasts and myeloma cell populations to describe the progress of the illness in a scenario in which there is a secular increase in the cytokinetic interactive effectiveness of paracrine processes. The equilibrium state for the system is obtained. The paracrine interactive effectiveness is explored by parameter variation and the stable region in the parameter space is identified. Then recently-discovered joint myeloma–osteoclast cells are added to the model to describe the populations inside lytic lesions. It transpires that their presence expands the available parameter space for stable equilibrium, thus permitting a detrimental, larger population of osteoclasts and myeloma cells. A possible relapse mechanism for the illness is explored by letting joint cells dissociate. The mathematics then permits the evaluation of the evolution of the cell populations as a function of time during relapse.
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