CD138+ expression and genomic profile obtained from newly diagnosed Multiple Myeloma patients up-front treated with VTD induction therapy
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Carolina Terragna
PROVIDER: E-GEOD-69029 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Shared Molecules
Only show the datasets with similarity scores above: 0.5
Threshold
0.5
Similar Datasets
Project description:The prime focus of the current therapeutic strategy for Multiple Myeloma (MM) is an early and deep tumour burden reduction; this characterizes and defines the complete response (CR). To date, no description of the characteristics of the plasma cells (PC) prone to achieve CR has been reported. This study aimed at the molecular characterization of PC derived from MM patients who achieved CR after bortezomib-thalidomide-dexamethasone (VTD) first line therapy. One hundred and eighteen MM primary tumours obtained from homogeneously treated patients were globally profiled both for gene expression and for single nucleotide polymorphism genotype. Genomic results were used to obtain a predictor of sensitivity to VTD induction therapy, as well as to describe both the transcription and the genomic profile of PC derived from patients with MM who will respond optimally to primary induction therapy. By analysing the gene profiles of CR patients, we identified a 5-gene signature predicting CR with an overall median accuracy of 75% (range: 72%-85%). In addition, we highlighted the differential expression of a series of genes, whose deregulation, accordingly to their reported functions, might explain the CR patientsâ?? sensitivity to VTD therapy. We also showed that a small copy number loss, covering 606Kb on chromosome 1p22.1 was the most significantly associated with CR patients. The study provides insights into the genomic landscape of PC obtained from newly diagnosed MM patients achieving CR after VTD and shows that patients might be accurately stratified according to their sensitivity to VTD. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from cryopreserved diagnostic CD138+ cell fractions obtained from bone marrow samples.
2015-12-31 | E-GEOD-69028 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2016-05-31 | E-GEOD-69000 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2014-01-10 | E-GEOD-47508 | biostudies-arrayexpress
Project description:DNA copy number alterations and mutations were characterised by bulk SNP anlaysis and exome sequencing (not sown here) in three acute lymphoblastic leukaemia samples and one establish cell line REH. Further single cell experiments of these cases investigated the mutation and copy number targets previously defined exploring the sub-clonal populations and phylogenic trees within each leukaemia. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from cryopreserved diagnostic bone marrow or peripheral blood samples. Copy number analysis of Affymetrix SNP6 arrays or Cytogenetics whole genome 2.7M arrays was performed for three leukaemic samples and one established cell line REH. Remission samples were only available for two of the leukaemia samples (Case A and Case B) and therefore 20 HapMap Caucasien samples were used as controls for the SNP6 array expeeriments.
2013-07-26 | E-GEOD-49215 | biostudies-arrayexpress
Project description:10 patients with Intellectual Disability diagnosed with a clinically relevant copy number change, selected to assess the dection performance of alternative platforms. 10 Affymetrix arrays were performed according to the manufacturer's directions on DNA extracted from peripheral blood samples.
2013-08-01 | E-GEOD-46060 | biostudies-arrayexpress
Project description:Human pluripotent stem cell (hPSC) lines exhibit repeated patterns of genetic variation, which can alter in vitro properties as well as suitability for clinical use. We examined associations between copy number variations (CNVs) on chromosome 17 and hPSC mesodiencephalic dopaminergic (mDA) differentiation. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from cryopreserved stem cell samples. Copy number analysis of Affymetrix Genome-Wide Human SNP Array 6.0 was performed for 17 stem cell samples.
2014-12-17 | E-GEOD-64241 | biostudies-arrayexpress
Project description:These samples include 4 patients with a triplication/ROH combination on: (1) chromosome 6, (2) chromosom 9, (3) chromosome 10, (4) chromosome 14 All arrays contain single hybridisations of either patient or parental samples
2015-03-03 | E-GEOD-65113 | biostudies-arrayexpress
Project description:We saw a patient who presented with respiratory distress from birth due to interstitial lung disease. Before the age of three months a diagnosis of nephrotic syndrome was made. Lung biopsy revealed pulmonary interstitial glycogenosis. Despite extensive investigations, no known genetic or infectious cause was found for the congenital nephrotic syndrome. The patient died at the age of 8 months due to respiratory failure. A 20 Mb homozygous region was identified on chromosome 17 in the patientM-bM-^@M-^Ys DNA, revealing a novel homozygous missense variant in ITGA3 gene. Genomic DNA was obtained from peripheral blood samples of the patient with interstitial lung fibrosis and nephrotic syndrome. Copy number variation (CNV) screening by means of microarray analyses was carried out on the Affymetrix GeneChip 250k (NspI) SNP array platform (Affymetrix, Inc., Santa Clara, CA, USA), which contains 25-mer oligonucleotides representing a total of 262,264 SNPs. Hybridizations were performed according to the manufacturerM-bM-^@M-^Ys protocols. Copy numbers and M-bM-^@M-^\long contiguous stretches of homozygosityM-bM-^@M-^] (LCSH/LOH) were determined using the 2.0 version of the CNAG (Copy Number Analyzer for Affymetrix GeneChip mapping) software package (Nannya Y, Sanada M, et al (2005) "A robust algorithm for copy number detection using high-density oligonucleotide single nucleotide polymorphism genotyping arrays." Cancer Res; 65: 6071M-bM-^@M-^S6079.). The average resolution of this array platform, described by McMullan et al is 150M-bM-^@M-^S200 kb (Mc McMullan DJ, Bonin M et al. (2009), M-bM-^@M-^\Molecular karyotyping of patients with unexplained mental retardation by SNP arrays: a multicenter studyM-bM-^@M-^] Hum Mutat. Jul;30(7):1082-92).
2012-08-28 | E-GEOD-40405 | biostudies-arrayexpress
Project description:A SNP microarray and FISH-based procedure to detect allelic imbalances in multiple myeloma: an integrated genomics approach reveals a wide dosage effect on gene and microRNA expression Multiple myeloma (MM) is characterized by marked genomic instability. Beyond structural rearrangements, a relevant role in its biology is represented by allelic imbalances leading to significant variations in ploidy status. To better elucidate the genomic complexity of MM, we analyzed a panel of 45 patients using combined FISH and microarray approaches. Using a self-developed procedure to infer exact local copy numbers for each sample, we identified a significant fraction of patients showing marked aneuploidy. A conventional clustering analysis showed that aneuploidy, chromosome 1 alterations, hyperdiploidy and recursive deletions at 1p and chromosomes 13, 14 and 22 were the main aberrations driving samples grouping. Then, we integrated mapping information with gene and microRNAs expression profiles: a multiclass analysis of the identified clusters showed a marked gene-dosage effect, particularly concerning 1q transcripts, also confirmed by correlating gene expression levels and local copy number alterations. A wide dosage effect affected also microRNAs, indicating that structural abnormalities in MM closely reflect in their expression imbalances. Finally, we identified several loci in which genes and microRNAs expression correlated with loss-of-heterozygosity occurrence. Our results provide insights into the composite network linking genome structure and gene/microRNA transcriptional features in MM. Keywords: Integrated genomics approach based on SNP microarray and FISH procedures to detect allelic imbalances in multiple myeloma. Pathological bone marrow specimens from 41 MM and four plasma cell leukemia (PCL) patients at diagnosis. 250 nanograms of genomic DNA was processed and, in accordance with the manufacturer's protocols, 40 micrograms of fragmented biotin-labelled DNA were hybridized on GeneChip Human Mapping 50K XbaI Arrays (Affymetrix Inc.). The arrays were scanned using the GeneChip Scanner 3000 7G. The images were acquired using Affymetrix GeneChip® Operating Software (GCOS version 1.4). Copy number values for individual SNPs were extracted and converted from CEL files into signal intensities using GTYPE 4.1 and Affymetrix Copy Number Analysis Tool (CNAT 4.0.1) softwares. Genomic Smoothing analysis was performed by using the smoothing window of 0 Mb, and inferred copy number states were derived from a Hidden Markov Model (HMM) based algorithm implemented in CNAT 4.0.1. Circular Binary Segmentation (Ohlsen et al., 2004) was applied using DNAcopy package for R Bioconductor on raw data. FBN procedure was finally applied to infer exact local copy number as described in the mentioned Reference.
2009-05-16 | E-GEOD-16121 | biostudies-arrayexpress
Project description:Osteosarcomas are the most common primary malignant tumours of bone, and almost all conventional osteosarcomas are high-grade tumours showing complex genomic aberrations. We have integrated genome-wide genetic and epigenetic profiles from the EuroBoNeT panel of 19 human osteosarcoma cell lines based on microarray technologies. The cell lines showed complex patterns of DNA copy number changes, where copy number gains were significantly associated with gene-rich regions of the genome and losses with gene-poor areas. Integration of the datasets showed that the mRNA levels were regulated by either alterations in DNA copy number or DNA methylation. Using a recurrence threshold of 6/19 (> 30 %) cell lines, 348 genes were identified as having alterations of two data types (gain or hypo-methylation/over-expression, loss or hyper-methylation/under-expression). These genes are involved in embryonic skeletal system development and morphogenesis, as well as remodelling of extracellular matrix. Several genes were hyper-methylated and under-expressed compared to normal osteoblasts, and expression could be reactivated by demethylation using 5-Aza-2M-bM-^@M-^Y-deoxycytidine treatment for all four genes tested. Globally, there was as expected a significant positive association between gain and over-expression, loss and under-expression as well as hyper-methylation and under-expression, but gain was also associated with hyper-methylation and under-expression, suggesting that hyper-methylation may oppose the effects of increased copy number for some genes. Integrative analysis of genome-wide genetic and epigenetic alterations identified mechanistic dependencies and relationships between DNA copy number and DNA methylation in terms of regulating mRNA expression levels in osteosarcomas, contributing to better understanding of osteosarcoma biology. Comparison of DNA copy number changes in 19 osteosarcoma cell lines
2012-12-06 | E-GEOD-36003 | biostudies-arrayexpress