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The Landscape of Tumor Cell States and Ecosystems in Diffuse Large B Cell Lymphoma [scVDJ-seq]

ABSTRACT: Biological heterogeneity in diffuse large B cell lymphoma (DLBCL) is partly driven by cell-of-origin subtypes and associated genomic lesions, but also by diverse cell types and cell states in the tumor microenvironment (TME). However, dissecting these cell states and their clinical relevance at scale remains challenging. Here, we implemented EcoTyper, a machine learning framework integrating transcriptome deconvolution and single-cell RNA sequencing, to characterize clinically relevant DLBCL cell states and ecosystems. Using this approach, we identified five cell states of malignant B cells that vary in prognostic associations and differentiation status. We also identified striking variation in cell states for 12 other lineages comprising the TME and forming cell-state interactions in stereotyped ecosystems. While cell-of-origin subtypes have distinct TME composition, DLBCL ecosystems capture clinical heterogeneity within existing subtypes and extend beyond cell-of-origin and genotypic classes. These results resolve the DLBCL microenvironment at unprecedented resolution and identify opportunities for therapeutic targeting (https://ecotyper-stanford-edu.stanford.idm.oclc.org/lymphoma).

ORGANISM(S): Homo sapiens

PROVIDER: GSE182435 | GEO | 2021/09/30

REPOSITORIES: GEO

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The Landscape of Tumor Cell States and Ecosystems in Diffuse Large B Cell Lymphoma [scRNA-seq]

Project description:Biological heterogeneity in diffuse large B cell lymphoma (DLBCL) is partly driven by cell-of-origin subtypes and associated genomic lesions, but also by diverse cell types and cell states in the tumor microenvironment (TME). However, dissecting these cell states and their clinical relevance at scale remains challenging. Here, we implemented EcoTyper, a machine learning framework integrating transcriptome deconvolution and single-cell RNA sequencing, to characterize clinically relevant DLBCL cell states and ecosystems. Using this approach, we identified five cell states of malignant B cells that vary in prognostic associations and differentiation status. We also identified striking variation in cell states for 12 other lineages comprising the TME and forming cell-state interactions in stereotyped ecosystems. While cell-of-origin subtypes have distinct TME composition, DLBCL ecosystems capture clinical heterogeneity within existing subtypes and extend beyond cell-of-origin and genotypic classes. These results resolve the DLBCL microenvironment at unprecedented resolution and identify opportunities for therapeutic targeting (https://ecotyper-stanford-edu.stanford.idm.oclc.org/lymphoma).

2021-09-30 | GSE182434 | GEO

The Landscape of Tumor Cell States and Ecosystems in Diffuse Large B Cell Lymphoma [scVDJ-seq]

Project description:The Landscape of Tumor Cell States and Ecosystems in Diffuse Large B Cell Lymphoma [scVDJ-seq]

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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

Molecular subtypes of DLBCL have distinct chromosomal aberrations

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Interaction between stromal cells and GCB-DLBCL cells promotes the tumor cell survival through CD40-KDM6B-NF-B axis

Project description:Germinal center B-cell-like diffuse large B-cell lymphoma (GCB-DLBCL) is one of the most common subtypes of B-cell non-Hodgkin lymphoma. The tumor microenvironment (TME) is responsible for therapy resistance and relapse in GCB-DLBCL, while most studies have focused on targeting tumor cells instead of the TME. Stromal cells are the main component of the TME in GCB-DLBCL. How stromal cells interact with GCB-DLBCL tumor cells and protect GCB-DLBCL from cell death remain elusive. Here we reported that a CD40/RANK pathway-mediated positive feedback loop mediated the interaction of stromal cells and GCB-DLBCL to enhance the survival of GCB-DLBCL tumor cells. The viability of primary GCB-DLBCL patient-derived xenograft tumor cells was increased when they were cocultured with different tissue-derived stromal cells. We demonstrated that stromal cells promoted tumor cell survival not only through excreted cytokines but also depending more on direct contact. Furthermore, CD40 ligand (CD40L) expressed on stromal cells activated CD40 signaling in tumor cells, protecting tumor cells from apoptosis and upregulating RANK ligand (RANKL). RANK activation by RANKL in tumor cells enhanced the expression of CD40L and BAFF in stromal cells, both of which in turn promoted tumor cell survival through activating canonical and noncanonical NF-B signaling. In addition, CD40 activation upregulated the expression of KDM6B, and KDM6B further mediated the activation of canonical and noncanonical NF-B signaling, the downstream signaling pathways of the CD40 activation, all leading to tumor cell survival. These results further suggest that CD40-KDM6B-NF-B axis serve as a potential target for GCB-DLBCL therapy.

2022-05-09 | GSE202370 | 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.

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DNA methylation signatures define molecular subtypes of Diffuse Large B Cell Lymphoma

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2010-08-08 | E-GEOD-23501 | biostudies-arrayexpress

DNA methylation signatures define molecular subtypes of Diffuse Large B Cell Lymphoma

2010-08-09 | GSE23501 | GEO

Plasma extracellular vesicle proteome identifies diffuse large B cell lymphoma patients

Project description:The aggressive B cell lymphoma diffuse large B cell lymphoma (DLBCL) is a heterogeneous entity that requires more precise monitoring and prognosis molecular tools. Extracellular vesicles that are secreted by all cell types are currently recognized as serving as a proxy for the cell of origin. Utilizing cutting-edge mass spectrometry, the current study described and assessed the plasma small extracellular vesicles (sEVs) proteome's diagnostic and prognostic potential. The presence of DLBCL has a significant impact on the sEV proteome, and several proteins substantially correlate with DLBCL.Nevertheless, no proteins that highly correlated with non-GCB or GCB were found.

2023-03-11 | PXD036735 | Pride

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

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