Pomalidomide targets in multiple myeloma treatment
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo Sapiens
SUBMITTER: 
Yuhuan Zheng
PROVIDER: PXD074135 | iProX | Thu Feb 05 00:00:00 GMT 2026
REPOSITORIES: iProX
Similar Datasets
Project description:Samples in this series are pre-treatment bone marrow aspirates from multiple myeloma patients Keywords = CKS1B in Multiple Myeloma, Bone Marrow, Pre-Treatment Keywords: other
2006-06-01 | GSE4204 | GEO
Project description:<h4><strong>BACKGROUND:</strong> Multiple myeloma is characterized by clonal proliferation of malignant plasma cells in the bone marrow that produce monoclonal immunoglobulins. N-glycosylation changes of these monoclonal immunoglobulins have been reported in multiple myeloma, but previous studies only detected limited serum N-glycan features.</h4><h4><strong>METHODS:</strong> Here, a more detailed study of the human serum N-glycome of 91 multiple myeloma patients and 51 controls was performed. We additionally analyzed sequential samples from patients (n = 7) which were obtained at different time points during disease development as well as 16 paired blood serum and bone marrow plasma samples. N-glycans were enzymatically released and measured by mass spectrometry after linkage specific derivatization of sialic acids.</h4><h4><strong>RESULTS:</strong> A decrease in both α2,3- and α2,6-sialylation, galactosylation and an increase in fucosylation within complex-type N-glycans were found in multiple myeloma patients compared to controls, as well as a decrease in difucosylation of diantennary glycans. The observed glycosylation changes were present in all ISS stages, including the 'low-risk' ISS I. In individual patients, difucosylation of diantennary glycans decreased with development of the disease. Protein N-glycosylation features from blood and bone marrow showed strong correlation. Moreover, associations of monoclonal immunoglobulin (M-protein) and albumin levels with glycan traits were discovered in multiple myeloma patients.</h4><h4><strong>CONCLUSIONS & GENERAL SIGNIFICANCE: </strong>In conclusion, serum protein N-glycosylation analysis could successfully distinguish multiple myeloma from healthy controls. Further studies are needed to assess the potential roles of glycan trait changes and the associations of glycans with clinical parameters in multiple myeloma early detection and prognosis.</h4>
2022-04-27 | MTBLS676 | MetaboLights
Project description:The goal of this study is to identify translationally-regulated mRNAs in multiple myeloma following treatment with dexamethasone The overall design is to treat the multiple myeloma cell line MM1.S with 1uM dexamethasone for 0 or 4 hours and collect total RNA and fractionated polysome pooled RNA (in 3 fractions)
2014-07-04 | E-GEOD-59080 | biostudies-arrayexpress
Project description:The paper describes a model of multiple myeloma.
Created by COPASI 4.26 (Build 213)
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.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000804 | BioModels
Project description:The goal of this study is to identify translationally-regulated mRNAs in multiple myeloma following treatment with dexamethasone
2014-07-04 | GSE59080 | GEO
Project description:Samples in this series are pre-treatment bone marrow aspirates from multiple myeloma patients Experiment Overall Design: Samples in this series are: CD-138-selected plasma cells from bone marrow of newly diagnosed multiple myeloma patients susequently treated with Total Therapy
2008-06-13 | E-GEOD-4581 | biostudies-arrayexpress
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
2012-09-10 | E-GEOD-39754 | biostudies-arrayexpress
Project description:Samples in this series are pre-treatment bone marrow aspirates from multiple myeloma patients Experiment Overall Design: Samples in this series are: CD-138-selected plasma cells from bone marrow of newly diagnosed multiple myeloma patients susequently treated with Total Therapy
2008-06-13 | E-GEOD-4452 | biostudies-arrayexpress