Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data from 4 newly diagnosed multiple myeloma patients and 4 healthy subjects

ABSTRACT: It has been found that miRNA is related to the diagnosis and prognosis of multiple myeloma. In this project, we We used microarrays to detect the expression of miRNA in bone marrow of newly diagnosed multiple myeloma patients and healthy subjects, screened out differentially expressed miRNAs, and studied its role in multiple myeloma.

ORGANISM(S): synthetic construct Homo sapiens

PROVIDER: GSE157324 | GEO | 2020/09/03

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Expression data from 4 newly diagnosed multiple myeloma patients and 4 healthy subjects

Project description:Expression data from 4 newly diagnosed multiple myeloma patients and 4 healthy subjects

| PRJNA660944 | ENA

Transcription profiling of bone marrow plasma cells from 320 newly diagnosed multiple myeloma patients

Project description:In order to identify relevant, molecularly defined subgroups in Multiple Myeloma (MM), gene expression profiling (GEP) was performed on purified CD138+ plasma cells of 320 newly diagnosed myeloma patients included in the Dutch-Belgian/German HOVON-65/ GMMG-HD4 trial using Affymetrix Gene Chip U133 plus 2.0 arrays. Hierarchical clustering identified 10 distinct subgroups. Bone marrow plasma cell samples were obtained from 320 newly diagnosed multiple myeloma patients included in a large multicenter, prospective, randomized phase III trial (HOVON65/GMMG-HD4). Purified myeloma plasma cells samples with a monoclonal plasma cell purity > 80% were used for analysis.

2010-06-27 | E-GEOD-19784 | biostudies-arrayexpress

A Gene Expression-Based Risk Stratification Model for Newly Diagnosed Multiple Myeloma

Project description:We recently defined a gene expression-based signature of high-risk multiple myeloma; this predictive signature was developed with and independently validated for newly diagnosed patients treated with high dose therapy and stem cell rescue. Here we use Phase 3 clinical trial data to show that this signature also predicts short survival in relapsed disease treated with single agent bortezomib or high dose dexamethasone. In addition, a survival signature derived with relapsed myeloma samples identified newly diagnosed patients with short survival. Taken together these data suggest that a similar biology underlies poor outcome in both newly diagnosed and relapsed myeloma and provide strong evidence that the high-risk signature is a powerful tool to identify patients who are candidates for new therapeutic regimens. Keywords: Model validation See above (Series_summary)

2011-08-19 | E-GEOD-8991 | biostudies-arrayexpress

A Gene Expression-Based Risk Stratification Model for Newly Diagnosed Multiple Myeloma

2011-08-20 | GSE8991 | GEO

Expression data of health individuals and newly diagnosed multiple myeloma

Project description:Expression data of health individuals and newly diagnosed multiple myeloma

| PRJNA512186 | ENA

Expression data of health individuals and newly diagnosed multiple myeloma

Project description:Multiple myeloma is a multi-stage disease. Based on its laboratory and clinical presentation it can be summarized as MGUS, smoldering myeloma, and multiple myeloma. Previous studies have shown that the expression levels of miRNAs in different stages of the disease are different. This study analyzes the expression levels of miRNAs in healthy individuals and myeloma serum exosomes. We used microarrays to detail the miRNAs expressionin between 12 healthy individuals and 12 multiple myeloma and identified distinct classes of dys-regulated genes.

2020-01-22 | GSE124489 | GEO

Gene expression profiling of newly diagnosed multiple myeloma patients included in the HOVON131 clinical trial

Project description:This gene expression set contains data from patients included in the HOVON131 clinical trial. Using this data the relation between circulating tumor cells and gene expression patterns was studied in newly diagnosed multiple myeloma patients. Circulating tumor cells are a known prognostic factor in multiple myeloma. However, the causes of high circulating tumor cells have been insufficiently characterised. This study aimed to identify factors involved in high circulating tumor cell count, using a model to correct for important contributing factors to this phenotype, which is closely associated with aggressive disease.

2022-06-01 | GSE164701 | GEO

Gene expression profiling by RNA-seq of newly diagnosed multiple myeloma patients included in the HOVON143 clinical trial

Project description:This gene expression set contains data from patients included in the HOVON143 clinical trial. Using this data the relation between circulating tumor cells and gene expression patterns was studied in newly diagnosed multiple myeloma patients.

2022-06-01 | GSE164830 | GEO

Gene expression profiling of newly diagnosed multiple myeloma patients included in the HOVON95 clinical trial

Project description:This gene expression set contains data from patients included in the HOVON95 clinical trial. Using this data the relation between a signature identifying patients with aggressive biology and clinical parameters was studied in newly diagnosed multiple myeloma patients. This dataset was used to identify the relationship between a signature for aggressive disease and clinical parameters.

2022-06-01 | GSE164706 | GEO

Expression data of newly diagnosed multiple myeloma and extramedullary myeloma

Project description:Despite the development of novel therapeutic agents, multiple myeloma (MM) remains incurable, owing mainly to inevitable relapse in almost all patients. Some relapses occur as extramedullary disease (EMD), which is rare but is the most aggressive event in MM patients. Extramedullary myeloma (EMM) has extraordinary heterogeneous biological and clinical features. Previous studies have shown that expression levels of LncRNAs and mRNAs in different stages of MM are different. This study analyzes the expression levels of LncRNAs and mRNAs in primary plasma cells (PCs) from MM and EMM patients.

2023-03-01 | GSE147841 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data