The Landscape of Tumor Cell States and Ecosystems in Diffuse Large B Cell Lymphoma
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PROVIDER: PRJNA756263 | ENA |
REPOSITORIES: ENA
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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 | GSE182435 | GEO
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
Project description:The Landscape of Tumor Cell States and Ecosystems in Diffuse Large B Cell Lymphoma [scRNA-seq]
| PRJNA756265 | ENA
Project description:The Landscape of Tumor Cell States and Ecosystems in Diffuse Large B Cell Lymphoma [scVDJ-seq]
| PRJNA759182 | ENA
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
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
Project description:EGR1 addiction in diffuse large B cell lymphoma
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Project description:This SuperSeries is composed of the following subset Series: GSE21846: Transcriptional profiling of 29 cases of diffuse large B cell lymphoma GSE21847: miRNA profiling of 29 cases of diffuse large B cell lymphoma GSE21848: miRNA profiling of 36 cases of diffuse large B cell lymphoma Refer to individual Series
2011-08-01 | E-GEOD-21849 | biostudies-arrayexpress
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
Project description:Diffuse large B-cell lymphoma (DLBCL), the most common subtype of non-Hodgkin's lymphoma, is clinically heterogeneous: 40% of patients respond well to current therapy and have prolonged survival, whereas the remainder succumb to the disease. We proposed that this variability in natural history reflects unrecognized molecular heterogeneity in the tumors. Using DNA microarrays, we have conducted a systematic characterization of gene expression in B-cell malignancies. Here we show that there is diversity in gene expression among the tumors of DLBCL patients, apparently reflecting the variation in tumor proliferation rate, host response and differentiation state of the tumor. We identified two molecularly distinct forms of DLBCL which had gene expression patterns indicative of different stages of B-cell differentiation. One type expressed genes characteristic of germinal center B cells ('germinal center B-like DLBCL'); the second type expressed genes normally induced during in vitro activation of peripheral blood B cells ('activated B-like DLBCL'). Patients with germinal center B-like DLBCL had a significantly better overall survival than those with activated B-like DLBCL. The molecular classification of tumors on the basis of gene expression can thus identify previously undetected and clinically significant subtypes of cancer. This study is described more fully in Alizadeh AA et al.(2000) Nature 403:503-11
2002-06-27 | E-GEOD-60 | biostudies-arrayexpress