Identification of molecular signatures in multiple myeloma
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE72213 | GEO | 2022/07/20
REPOSITORIES: GEO
Similar Datasets
Project description:To identify aberrant miRNAs involved in the pathogenesis of multiple myeloma, we performed miRNA expression profiling of a total of 27 samples consisting of 19 clinical specimens, 8 myeloma cell lines and 3 normal peripheral blood samples. The microarray data were analysed by GeneSpring Software v13.0. We had identified 1799 miRNAs, which were differentially expressed by >2.0 fold change at p<0.05. Out of 1799 miRNAs, 1791 and 8 of them were up-regulated and down-regulated, respectively in myeloma group compared to the normal control group. Expression of 2 miRNAs (miR-150-5p and miR-4430) were verified by real-time PCR using the same RNA samples (20-22 samples were used) using SYBR Green. The real-time PCR confirmed that the expression of the miRNAs were consistent with microarray data.
2017-06-05 | GSE73048 | GEO
Project description:Multiple myeloma (MM) is characterized by recurrent chromosomal translocations. The multiple myeloma SET domain (MMSET), identified by its fusion to the IgH locus in t(4;14) MM, is universally overexpressed and has been suggested to play an important role in tumorigenicity in t(4;14) MM. In order to identify downstream functional targets of MMSET, we knocked down MMSET expression with shRNAs in KMS11, a t(4;14) MM cell line, and identified differentially expressed genes by gene expression microarray analysis. KMS11 cells were treated with shRNAs for 48 h. Total RNA was extracted by using the Qiagen RNeasy Mini kit (Germany). Gene expression was performed using the GeneChip Human Genome U133A Array (Affymetrix) following the manufacturerM-bM-^@M-^Ys instructions. Data analysis was performed using GeneSpring software from Agilent Technologies.
2014-07-16 | E-GEOD-59424 | biostudies-arrayexpress
Project description:Purpose: We here applied single-cell RNA sequencing of circulating MM cells from primary MM patients to perform transcriptional profiling of myeloma cells and study emerging resistance mechanisms in real-time. Methods: A total of 1509 single CD138+/CD38+ myeloma and normal plasma cells from three patients and one normal donor were examined by full-length single-cell RNA sequencing. Results: Quality filtering resulted in the retention of 1153 cells with an average of 4836 genes detected per cell. Rapid transcriptional adaptation was observed in the presence of BRAF/MEK inhibitor treatment. Conclusions: Inhibition of the BRAF/MEK pathway in myeloma patients induces cellular adaptation accompanied by metabolic resistance and preferential transcriptional activation of OxPhos.
2022-03-13 | GSE168948 | GEO
Project description:Multiple myeloma (MM) is a hematological malignancy worldwide in urgent need for novel therapeutic strategies. Since Velcade (bortezomib) was approved for the treatment of relapsed/refractory MM in 2003, we have seen considerable improvement in extending MM patient survival. However, most patients are fraught with high recurrence rate and incurability. Acupuncture is known for alleviating patient symptoms and improving the quality of life, but it is not well investigated in MM, especially in combination with bortezomib. In this study, we employed LC-MS and UHPLC-MS together with bioinformatics methods to test blood samples from 5TMM3VT MM murine model mice with four different treatments (control (C) group, bortezomib (V) treatment group, acupuncture (A) group and combined (VA) group). MM mice in group VA had longer survival time than mice in group A or group V. Joint pathway analysis indicated the underlying arginine and proline metabolism pathway among the 32 significantly decreased metabolites in group VA. CCK-8 assay and in vivo experiments validated that ornithine, the metabolite of arginine, promoted MM cell proliferation. In addition, gene expression omnibus (GEO) database analysis suggested that MM patients with higher ornithine decarboxylase 1 (ODC1) expression were evidently associated with poor overall survival. In summary, this study demonstrates the synergistic effects of acupuncture and bortezomib on extending the survival of MM model mice and provides potential therapeutic targets in the treatment of MM.
2022-02-21 | MTBLS3487 | MetaboLights
Project description:Bone marrow -adipocytes (BMAs) have recently been implicated in accelerating bone metastatic cancers such as AML and breast cancer. Importantly, bone marrow adipose tissue (BMAT) expands with aging and obesity- two key risk factors in multiple myeloma (MM) disease prevalence- suggesting that BMAs influence and are influenced by myeloma cells in the marrow. Here we examined how myeloma cells affect adipocytes and provide evidence that MM cells alter adipocyte gene expression and cytokine secretion profiles, creating a “MM-associated” adipocyte (MM-adipocyte) phenotype. Our findings indicate that: (1) Multiple myeloma cells decrease BM adiposity in vitro, in myeloma animal models, and in clinical samples, (2) myeloma induces widespread gene expression and phenotypic changes in adipocytes in vitro, most notable, the induction of a senescent-like phenotype in BMAs, (3) MM-adipocytes affect myeloma cell cycle, drug sensitivity, and aggressiveness, illuminating a new driver of MM cell evolution in a drug resistant clone. We demonstrate that myeloma cells exposed to MM-adipocytes are rescued from dexamethasone-induced cell cycle arrest and have increased expression of FKBP5, a potential drug resistance gene. Our findings in patients confirm that BMAs are dynamic during myeloma disease progression (decrease during MM initiation, recover during disease remission) and that the interactions between BMAs and MM cells have previously unappreciated implications in the understanding and treatment of myeloma.
2021-03-10 | GSE140374 | GEO
Project description:Direct analysis of HLA-presented antigens by mass spectrometry provides a comprehensive view on the antigenic landscape of different tissues/malignancies and enables the identification of novel, pathophysiologically relevant T-cell epitopes. Here, we present a systematic and comparative study of the HLA class I and II presented, nonmutant antigenome of multiple myeloma (MM). Quantification of HLA surface expression revealed elevated HLA molecule counts on malignant plasma cells compared with normal B cells, excluding relevant HLA downregulation in MM. Analyzing the presentation of established myeloma-associated T-cell antigens on the HLA ligandome level, we found a substantial proportion of antigens to be only infrequently presented on primary myelomas or to display suboptimal degrees of myeloma specificity. However, unsupervised analysis of our extensive HLA ligand data set delineated a panel of 58 highly specific myeloma-associated antigens (including multiple myeloma SET domain containing protein) which are characterized by frequent and exclusive presentation on myeloma samples. Functional characterization of these target antigens revealed peptide-specific, preexisting CD8+ T-cell responses exclusively in myeloma patients, which is indicative of pathophysiological relevance. Furthermore, in vitro priming experiments revealed that peptide-specific T-cell responses can be induced in response-naive myeloma patients. Together, our results serve to guide antigen selection for T-cell–based immunotherapy of MM.
2022-07-19 | PXD035324 | Pride
Project description:The multiple myeloma (MM) data set (endpoints F, G, H, and I) was contributed by the Myeloma Institute for Research and Therapy at the University of Arkansas for Medical Sciences (UAMS, Little Rock, AR, USA). Gene expression profiling of highly purified bone marrow plasma cells was performed in newly diagnosed patients with MM. The training set consisted of 340 cases enrolled on total therapy 2 (TT2) and the validation set comprised 214 patients enrolled in total therapy 3 (TT3). Plasma cells were enriched by anti-CD138 immunomagnetic bead selection of mononuclear cell fractions of bone marrow aspirates in a central laboratory. All samples applied to the microarray contained more than 85% plasma cells as determined by 2-color flow cytometry (CD38+ and CD45-/dim) performed after selection. Dichotomized overall survival (OS) and eventfree survival (EFS) were determined based on a two-year milestone cutoff. A gene expression model of high-risk multiple myeloma was developed and validated by the data provider and later on validated in three additional independent data sets.
2010-09-11 | GSE24080 | GEO
Project description:To further investigate the differential expression miRNA of multiple myeloma, three multiple myeloma samples and three normal samples were used for miRNA sequencing.
2023-10-06 | GSE159231 | GEO
Project description:<p>This project was designed to describe genetic abnormalities in primary samples from patients with multiple myeloma by next generation sequencing.</p> <p>We generated sequence data from multiple myeloma (MM) patients analyzing DNA both from tumor cells (purified from bone marrow using CD138 selection as a marker of plasma cells) and from normal peripheral blood cells (either whole blood or Ficoll-purified mononuclear cells). Using massively parallel sequencing technology (Illumina GA-2 or HiSeq)), we performed whole-genome sequencing (WGS) and/or whole-exome sequencing (WES). The initial set currently deposited contains data from 38 MM patients (23 patients surveyed by WGS and 16 patients by WES, with one patient analyzed by both approaches).</p> <p>Genomes were sampled to high depth, obtaining an average of 33X coverage and 104X coverage for WGS and WES tumors, respectively. The normal samples had similar coverage. Our goal is to help researchers understand the complex genetic landscape of multiple myeloma and provide a resource for the generation of biological hypotheses.</p>
| phs000348 | dbGaP
Project description:Most patients with multiple myeloma (MM) die from progressive disease after relapse. To advance our understanding of MM evolution mechanisms, we performed whole-genome sequencing of 80 tumour-normal newly diagnosed pairs and 24 matched relapse tumours from the Myeloma XI trial.
| EGAS00001004000 | EGA