Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Array based comparative genomic hybridisation analysis of 1 Mb resolution of 21 follicular lymphomas (FL), 31 transformed diffuse large B-cells lymphomas (DLBCL), 29 de novo DLBCL (10 of GC and 19 non-GC related immunophenotype).

ABSTRACT: Follicular lymphoma (FL) is one of the most common types of indolent B-cell lymphoma in Western countries. FL commonly transforms to more aggressive diffuse large B-cell lymphoma (DLBCL) at reported frequencies between 15 - 60%. We have used microarray comparative genomic hybridisation (aCGH) at 1 Mb resolution to study copy number changes in paired tumor samples (primary FL and a subsequent tDLBCL) as well as de novo DLBCL cases to outline genetic mechanisms of transformation from follicular lymphoma to diffuse large B-cell lymphoma.

ORGANISM(S): Homo sapiens

PROVIDER: GSE56884 | GEO | 2014/04/18

SECONDARY ACCESSION(S): PRJNA244861

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Array based comparative genomic hybridisation analysis of 1 Mb resolution of 21 follicular lymphomas (FL), 31 transformed diffuse large B-cells lymphomas (DLBCL), 29 de novo DLBCL (10 of GC and 19 non-GC related immunophenotype).

Project description:Follicular lymphoma (FL) is one of the most common types of indolent B-cell lymphoma in Western countries. FL commonly transforms to more aggressive diffuse large B-cell lymphoma (DLBCL) at reported frequencies between 15 - 60%. We have used microarray comparative genomic hybridisation (aCGH) at 1 Mb resolution to study copy number changes in paired tumor samples (primary FL and a subsequent tDLBCL) as well as de novo DLBCL cases to outline genetic mechanisms of transformation from follicular lymphoma to diffuse large B-cell lymphoma. Single hybridization per case. 21 FL, 31 transformed DLBCL, 29 de novo DLBCL (10 GC and 19 non-GC DLBCL). Tumor labelled with Cy5 and reference with Cy3. Mixture of 20 normal male or female genomic DNA was used in sex-mismatched hybridization.

2014-04-18 | E-GEOD-56884 | biostudies-arrayexpress

Expression data from diagnostic samples of diffuse large B-cell lymphomas (DLBCL), follicular lymphoma (FL) and primary and relapsed transformed FL [SNP]

Project description:Comparison of gene expression profiles from diagnostic samples of diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) to a patient case withsamples of primary and relapsed transformed FL.

2017-03-08 | GSE86621 | GEO

Expression data from diagnostic samples of diffuse large B-cell lymphomas (DLBCL), follicular lymphoma (FL) and primary and relapsed transformed FL [RNA]

2017-03-08 | GSE86613 | GEO

B cell Lymphomas present Immunoglobulin Neoantigens

Project description:Immunoglobulin gene rearrangement and somatic hypermutation have the potential to create neoantigens in non-Hodgkin B cell lymphoma. However, the presentation of these putative immunoglobulin neoantigens by B cell lymphomas has not been proven. We used MHC immunoprecipitation followed by liquid chromatography and tandem mass spectrometry (LC-MS/MS) to define antigens presented by follicular lymphomas (FL), chronic lymphocytic leukemias (CLL), diffuse large B cell lymphoma (DLBCL) and mantle cell lymphomas (MCL). We found presentation of the clonal immunoglobulin molecule, including neoantigens by both class I and class II MHC, though more commonly in class II MHC. To determine whether B cell activation could promote presentation of immunoglobulin neoantigens, we used a toll-like receptor 9 (TLR9) agonists to upregulate expression of MHC-II. This resulted in enhanced class II MHC presentation of the immunoglobulin variable region including neoantigens. These findings demonstrate that immunoglobulin neoantigens are presented across most subtypes of B cell lymphomas. Activation of lymphoma cells to upregulate antigen presentation boosts presentation of immunoglobulin neoantigens and represents a strategy for augmenting lymphoma immunotherapies.

2019-01-07 | PXD010808 | Pride

siRNA smart pool silencing of master regulators of Follicular Lymphoma transformation to DLBCL

Project description:Follicular lymphoma (FL) is the most common indolent subtype of non-Hodgkin’s lymphoma, with relatively long overall survival rate ranging from 6 to 10 years from time of diagnosis. However, 20-60% of FL patients undergo transformation to aggressive diffuse large B cell lymphoma (DLBCL), with a reduced median survival of about 1.2 years. The specific functional and genetic determinants of FL transformation are still elusive and only a relatively small fraction of the cases is accounted for by established, recurrent alterations in TP53, MYC and BCL6, inactivation of CDKN2A and CDKN2B, or amplification of REL. We addressed this deficiency by performing systematic analysis of a B cell specific regulatory model with FL transformation signatures, using the Master Regulator Inference algorithm (MARINa). We show that the candidate master regulators inferred by the algorithm in FL induce synthetic lethality in DLBCL cells and lead to identification of specific compound combinations inducing synergistic loss of viability in transformed DLBCL cells

2015-11-11 | GSE66714 | GEO

siRNA smart pool silencing of master regulators of Follicular Lymphoma transformation to DLBCL

Project description:Follicular lymphoma (FL) is the most common indolent subtype of non-Hodgkinâs lymphoma, with relatively long overall survival rate ranging from 6 to 10 years from time of diagnosis. However, 20-60% of FL patients undergo transformation to aggressive diffuse large B cell lymphoma (DLBCL), with a reduced median survival of about 1.2 years. The specific functional and genetic determinants of FL transformation are still elusive and only a relatively small fraction of the cases is accounted for by established, recurrent alterations in TP53, MYC and BCL6, inactivation of CDKN2A and CDKN2B, or amplification of REL. We addressed this deficiency by performing systematic analysis of a B cell specific regulatory model with FL transformation signatures, using the Master Regulator Inference algorithm (MARINa). We show that the candidate master regulators inferred by the algorithm in FL induce synthetic lethality in DLBCL cells and lead to identification of specific compound combinations inducing synergistic loss of viability in transformed DLBCL cells RNA was obtained from 45 samples, which included siRNA silencing of 5 single transcription factors, 5 combinations of two transcription factors and non-target control in triplicates.

2015-11-11 | E-GEOD-66714 | biostudies-arrayexpress

Transcription profiling of follicular lymphoma to diffuse large cell lymphoma

Project description:Transformation of Follicular Lymphoma to Diffuse Large Cell Lymphoma: Alternative Patterns with Increased or Decreased Expression of c-myc and its Regulated genes The natural history of follicular lymphoma (FL) is frequently characterized by transformation to a more aggressive diffuse large B cell lymphoma (DLBCL). We compared the gene expression profiles between transformed DLBCL and their antecedent FL. No genes were observed to increase or decrease their expression in all the cases of histological transformation. However, two different gene expression profiles associated with the transformation process were defined, one in which c-myc and genes regulated by c-myc showed increased expression and one in which these same genes showed decreased expression. Further, there was a striking difference in gene expression profiles between transformed DLBCL and de novo DLBCL, since the gene expression profile of transformed DLBCL was more similar to their antecedent FL than to de novo DLBCL. The study demonstrates that transformation from FL to DLBCL can occur by alternative pathways and that transformed DLBCL and de novo DLBCL have very different gene expression profiles that may underlie the different clinical behaviors of these two types of morphologically similar lymphomas.

2005-09-23 | E-SMDB-963 | biostudies-arrayexpress

The ion channels and transporters gene expression profile analysis indicates a shift in excitability and metabolisms during malignant progression of Follicular Lymphoma.

Project description:Determination of the ion channel and transporters gene expression profile of Follicular Lymphoma (FL). We have compared it with that of the relapsed follicular pymphomas and with that of the more aggressive Diffuse Large B Cell Lymphoma (DLBCL).

2019-02-08 | GSE126247 | GEO

LymphomaTransformation

2005-10-18 | E-GEOD-3458 | biostudies-arrayexpress

Expression data from DLBCL tumor biopsies

Project description:Diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) are the most prevalent B-lymphocyte neoplasms in which abnormal activation of the Bruton’s tyrosine kinase (BTK)–mediated B-cell receptor (BCR) signaling pathway contributes to pathogenesis. Ibrutinib is an oral covalent BTK inhibitor that has shown some efficacy in both indications. To improve ibrutinib efficacy through combination therapy, we first investigated differential gene expression in parental and ibrutinib-resistant cell lines to better understand the mechanisms of resistance. Ibrutinib-resistant TMD8 cells had higher BCL2 gene expression and increased sensitivity to ABT-199, a BCL-2 inhibitor. Consistently, clinical samples from ABC-DLBCL patients who experienced poorer response to ibrutinib had higher BCL2 gene expression. We further demonstrated synergistic growth suppression by ibrutinib and ABT-199 in multiple ABC-DLBCL, GCB-DLBCL, and FL lymphoma cell lines. The combination of both drugs also reduced colony formation, increased apoptosis, and inhibited tumor growth in a TMD8 xenograft model. A synergistic combination effect was also found in ibrutinib-resistant cells generated by either genetic mutation or drug treatment. Together, these findings suggest a potential clinical benefit from ibrutinib and ABT-199 combination therapy.

2017-04-30 | GSE93984 | 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