Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Dimethyl fumarate induces ferroptosis and impairs NF-κB/STAT3 signaling in DLBCL

ABSTRACT: Multi-agent chemotherapy still represents the first-line standard-of-care treatment for diffuse large B-cell lymphoma (DLBCL), the most common form of lymphoma in adults. However, the clinicopathological and molecular heterogeneity of DLBCLs poses a major challenge in their successful therapy. At least two major subtypes, i.e. germinal center B-cell-like (GCB) and the aggressive activated B-cell-like (ABC) DLBCL, which differ both in their gene expression profile and in their mutation patterns, have been identified. Here we demonstrate a broad inhibitory effect of dimethyl fumarate (DMF) on the outgrowth of both DLBCL subtypes, even though the molecular basis for its efficacy differs between GCB and ABC DLBCL. Due to high expression of arachidonate 5-lipoxygenase in concert with low glutathione and glutathione peroxidase 4 levels, DMF induced lipid peroxidation and thus ferroptotic cell death in GCB DLBCL. In contrast, in ABC DLBCL inhibition of NF-κB and STAT3 activity essentially contributed to DMF-dependent cytotoxicity. Interestingly, the BCL-2 specific BH3 mimetic ABT-199 or an inhibitor of the ferroptosis suppressor protein 1 synergized with DMF treatment in inducing cell death in DLBCL cell lines. Collectively, our findings identify the established and approved drug DMF as a promising novel therapeutic option in the treatment of both GCB and ABC DLBCL.

ORGANISM(S): Homo sapiens

PROVIDER: GSE164267 | GEO | 2021/07/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Kinome profiling of diffuse large B-cell lymphoma cells in response to dasatinib

Project description:Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease, with at least one-third of its patients not responding to the current chemotherapy regimen, R-CHOP. By gene expression profiling, patients with DLBCL can be categorized into two clinically relevant subtypes: activated B-cell (ABC) DLBCL and germinal center B-cell (GCB). Patients with ABC DLBCL have a worse prognosis, and are defined by chronic, overactive signaling through the B-cell receptor and NF-κB pathways. We examined the effects of the Src family kinase (SFK) inhibitor dasatinib in a panel of ABC and GCB DLBCL cell lines, and found that the ABC DLBCL cell lines are much more sensitive to dasatinib than the GCB DLBCL cell lines. However, using multiplexed inhibitor bead coupled to mass spectrometry (MIB/MS) kinome profiling competition and western blot analysis, both subtypes display inhibition of the SFKs in response to dasatinib after both short- and long-term treatment. MIB/MS analyses revealed several cell cycle kinases, including CDK4, CDK6, and the Aurora kinases, are inhibited by dasatinib treatment in the ABC DLBCL subtype, but not in the GCB DLBCL subtype. The present findings have important implications for the clinical use of dasatinib for the treatment of ABC DLBCL, either alone or in combination with other agents.

2018-12-14 | PXD009380 | Pride

Whole transcriptome profiling of the two major subtypes of diffuse large B cell lymphoma

Project description:The goal of this study is to identify the transcriptome differences between the two major subtypes of diffuse large B cell lymphoma (DLBCL). DLBCL is the most common form of non-Hodgkin’s lymphoma and has two major subtypes: germinal center B-cell-like (GCB) and activated B-cell-like (ABC). When compared to the GCB form, ABC lymphomas respond much more poorly to current therapies. To investigate how gene expression changes might contribute to this aggressive phenotype, we have used RNA-Seq to profile the whole transcriptome in 8 DLBCL cell lines (4 GCB subtype, 4 ABC) that are derived from patient tumors. 1,545 genes are differentially expressed between subtypes (FDR < 0.05), approximately 7% of the transcriptome. The vast majority of these genes (81%, n = 1251) are more highly expressed in the ABC cell lines. In contrast, only 294 genes (19%) are more highly expressed in the GCB cell lines. Half (n = 765) of the genes with greater ABC subtype expression demonstrate very low read counts (< 5) in the GCB cell types. Conversely, only 21 genes that are more highly expressed in GCB are unique to that subtype. The prevalence of such “on/off” genes indicates that the major differences between ABC and GCB DLBCL are due almost exclusively to additional gene expression in ABC, rather than the two subtypes having divergent but equally active genetic programs. Measurement and comparison of gene expression in 8 cell lines representing the 2 subtypes of DLBCL. 4 cell lines are subtyped as ABC and 4 are subtyped as GCB. 2 replicates are present for each cell line. (Cell line OCI-Ly19 was not included in the analysis because its gene expression clustered in between the subtypes, probably due to its EBV+ status. However, its sequencing runs have been included for completeness.)

2013-12-16 | E-GEOD-50721 | biostudies-arrayexpress

Whole transcriptome profiling of the two major subtypes of diffuse large B cell lymphoma

2013-12-16 | GSE50721 | GEO

Whole genome mapping of STAT3 binding sites in the two major subtypes of diffuse large B cell lymphoma

Project description:The goal of this study is to identify the effect of the transcription factor STAT3 in the two major subtypes of diffuse large B cell lymphoma (DLBCL). STAT3 is a signal transducer that, when dysregulated, becomes a powerful oncogene found in many human cancers, including DLBCL. DLBCL is the most common form of non-Hodgkin’s lymphoma and has two major subtypes: germinal center B-cell-like (GCB) and activated B-cell-like (ABC). When compared to the GCB form, ABC lymphomas respond much more poorly to current therapies and often exhibit overexpression or overactivation of STAT3. To investigate how STAT3 might contribute to this aggressive phenotype, we have used ChIP-Seq to identify STAT3 binding sites in 8 DLBCL cell lines (4 GCB subtype, 4 ABC) that are derived from patient tumors. 10,337 distinct STAT3 binding regions are occupied in at least two of the eight cell lines. One third (n = 3524) are differentially bound by STAT3 between the two subtypes (FDR < 0.05). More BRs are strongly bound in ABC than in GCB: 44% of differentially bound BRs (n = 1550) show more STAT3 binding in GCB, while 56% (n = 1974) are more strongly bound in ABC. Identification and comparison of STAT3 transcription factor binding sites in 8 cell lines that represent the 2 subtypes of DLBCL. 4 cell lines are subtyped as ABC and 4 are subtyped as GCB. 2-9 replicates and 1 input control are present for each cell line. (Cell line OCI-Ly19 was not included in the final analysis because RNA-Seq showed that its gene expression clustered in between the subtypes, probably due to its EBV+ status. However, its peak calls were used in intermediate steps of the analysis pipeline. Its sequencing runs have been included for completeness.)

2013-12-16 | E-GEOD-50723 | biostudies-arrayexpress

Whole genome mapping of STAT3 binding sites in the two major subtypes of diffuse large B cell lymphoma

2013-12-16 | GSE50723 | GEO

Expression data from Diffuse Large B Cell Lymphoma (DLBCL) patients

Project description:Diffuse large B-cell lymphoma (DLBCL) is currently divided into three main molecular subtypes, defined by gene expression profiling (GEP): Germinal Center B-cell like (GCB), Activated B-Cell like (ABC), and Primary Mediastinal B-cell Lymphoma (PMBL). DLBCL subtypes were determined according to patients' gene expression profiles.

2017-01-30 | GSE87371 | GEO

Super-SILAC Allows Classification of Diffuse Large B-cell Lymphoma Subtypes by Their Protein Expression Profiles

Project description:Correct classification of cancer patients into subtypes is a prerequisite for acute diagnosis and effective treatment. Currently this classification relies mainly on histological assessment, but gene expression analysis bymicroarrays has shown great promise. Here we show that high accuracy, quantitative proteomics can robustly segregate cancer subtypes directly at the level of expressed proteins. We investigated two histologically indistinguishable subtypes of diffuse large B-cell lymphoma (DLBCL): activated Bcell- like (ABC) and germinal-center B-cell-like (GCB) subtypes, by first developing a general lymphoma stable isotope labeling with amino acids in cell culture (SILAC) mix from heavy stable isotope-labeled cell lines. This super- SILAC mix was combined with cell lysates from five ABCDLBCL and five GCB-DLBCL cell lines. Shotgun proteomic analysis on a linear ion trap Orbitrap mass spectrometer with high mass accuracy at the MS and MS/MS levels yielded a proteome of more than 7,500 identified proteins. High accuracy of quantification allowed robust separation of subtypes by principal component analysis. The main contributors to the classification included proteins known to be differentially expressed between the subtypes such as the transcription factors IRF4 and SPI1/ PU.1, cell surface markers CD44 and CD27, as well as novel candidates. We extracted a signature of 55 proteins that segregated subtypes and contained proteins connected to functional differences between the ABC and GCB-DLBCL subtypes, including many NF-kappa B-regulated genes. Shortening the analysis time to single-shot analysis combined with use of the new linear quadrupole Orbitrap analyzer (Q Exactive) also clearly differentiated between the subtypes. These results show that high resolution shotgun proteomics combined with super-SILAC-based quantification is a promising new technology for tumor characterization and classification.

2015-04-24 | PXD002098 | Pride

Molecular subtypes of DLBCL have distinct chromosomal aberrations

Project description:We performed array comparative genomic hybridization (aCGH) and gene expression profiling in 203 samples of diffuse large B cell lymphoma (DLBCL). By gene expression, at least three molecular subtypes of DLBCL termed as germinal center B cell-like (GCB) DLBCL, activated B cell-like (ABC) DLBCL, and primary mediastinal B cell lymphoma (PMBL) can be distinguished. Combining gene expression profiling and aCGH, revealed copy number abnormalities that had strikingly different frequencies in the three molecular DLBCL subtypes. These data provide genetic evidence that the DLBCL subtypes are distinct diseases that utilize different oncogenic pathways. Keywords: clinical history design The retrospective study included RNA and DNA extracted from 203 clinical samples.

2008-09-04 | E-GEOD-11318 | biostudies-arrayexpress

EGR1 addiction in diffuse large B cell lymphoma

Project description:Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma, including two main molecular subtypes termed activated B cell-like (ABC) and germinal center B cell-like (GCB). ABC DLBCL is less curable and identification of new molecular targets is needed for the development of effective therapeutic agents. Here, we focused on EGR1, a transcription factor that is regulated by the B cell receptor and JAK1/STAT3 signaling pathway in ABC DLBCL. ChIP-Seq and RNA-Seq analyses revealed that gene regulation by EGR1 in ABC DLBCL accentuates multiple oncogenic pathways, including MYC and E2F, while dampening the lethal type I IFN pathway.

2021-08-06 | GSE123291 | GEO

Whole Exome Sequencing of Diffuse Large B-Cell Lymphoma

Project description:<p>Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is a clinically and genetically heterogenous disease that is further classified into transcriptionally defined activated B-cell (ABC) and germinal center B-cell (GCB) subtypes. Here, we describe a comprehensive genetic analysis of DLBCLs that identifies low-frequency alterations, captures recurrent mutations, copy number alterations (CNAs) and structural variants (SVs) and characterizes coordinate genetic signatures in 304 primary DLBCLs with available outcome data. We integrated these genetic drivers using consensus clustering and identified 5 robust DLBCL subsets, including a previously unrecognized group of low-risk ABC-DLBCLs of extrafollicular/marginal zone origin; 2 distinct subsets of GCB-DLBCLs with different outcomes and targetable alterations; and an ABC/GCB-independent group with biallelic inactivation of TP53, CDKN2A loss and associated genomic instability. The genetic features of the newly identified subsets, their mutational signatures and the temporal ordering of identified alterations provide new insights into DLBCL pathogenesis. The coordinate genetic signatures also predict outcome independent of the clinical International Prognostic Index and suggest new combination treatment strategies. More broadly, these studies provide a roadmap for an actionable DLBCL classification. </p>

| phs000450 | dbGaP

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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