Classical Hodgkin’s Lymphoma: Molecular evidence for specific alterations of circulating T lymphocytes
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE2657 | GEO | 2005/07/13
SECONDARY ACCESSION(S): PRJNA92125
REPOSITORIES: GEO
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Project description:Previous reports suggest that outcome of cHL patients may be related to the tumor microenvironment, which in turn may be influenced by EBV infection. Gene profiling was used for further characterize the cHL microenvironment. A training set of 73 cHL tissue samples was profiled using Affymetrix DNA microarrays. Supervised analysis provided a gene signature separating EBV+ from EBV- cHL tissues, including genes characteristic of Th1 and antiviral response. Samples from patients with favourable outcome significantly overexpressed genes involved in the function of B-cells and plasmacytoid dendritic cells (pDCs), like BCL11A. A validation set of 146 cHL samples was analyzed using immunohistochemistry (IHC). Keywords: Disease state analysis
2008-12-17 | GSE13996 | GEO
Project description:Gene expression profiles were performed from CD3+ T cells isolated from peripheral blood samples of untreated patients with cHL versus 2 control groups consisting of healthy donors and patients with sarcoidosis.
2007-09-12 | E-GEOD-2657 | biostudies-arrayexpress
Project description:Previous reports suggest that outcome of cHL patients may be related to the tumor microenvironment, which in turn may be influenced by EBV infection. Gene profiling was used for further characterize the cHL microenvironment. A training set of 73 cHL tissue samples was profiled using Affymetrix DNA microarrays. Supervised analysis provided a gene signature separating EBV+ from EBV- cHL tissues, including genes characteristic of Th1 and antiviral response. Samples from patients with favourable outcome significantly overexpressed genes involved in the function of B-cells and plasmacytoid dendritic cells (pDCs), like BCL11A. A validation set of 146 cHL samples was analyzed using immunohistochemistry (IHC). Experiment Overall Design: A training set of 73 pre-treatment cHL tissue samples was profiled using Affymetrix DNA microarrays. They were collected at the time of diagnosis from 73 different cHL patients (including 10 children under the age of 15), who underwent lymph node surgical biopsy in several French haematological centres (Marseilles, Lille, Dijon, Nancy, Paris) belonging to the network of the Groupe d’Etude des Lymphomas de l’Adulte (GELA). Each patient (or parents for children) gave written informed consent. Samples were snap-frozen in liquid nitrogen within 30 minutes of removal. All cases were de novo reviewed by 2 hematopathologists (BC and LX) before analysis.
2009-01-06 | E-GEOD-13996 | biostudies-arrayexpress
Project description:Lymphomas are classified according to the World Health Organization (WHO) classification which defines subtypes on the basis of clinical, morphological, immunophenotypic, molecular and cytogenetic criteria. Using this model, 8 of 9 of the validation samples were classified successfully. This pilot study demonstrates that such a microarray tool may be a promising diagnostic approach for small B-cell non-Hodgkin’s lymphoma. Keywords: Small B-Cell non-Hodgkin’s Lymphoma, Low Density DNA Microarray, Diagnosis
2009-03-25 | GSE11635 | GEO
Project description:Classical Hodgkin lymphoma (cHL) is a highly curable disease, with about 80% of patients cured using standard first-line chemotherapy. However, outcomes for relapsed/refractory patients re-main unfavorable and there is a critical lack of predictive biomarkers for early identification of these patients who may benefit from new therapeutic strategies. Here we evaluated the dynamic expression of 571 immune-related genes in a cohort of 42 cHL using NanoString technology. We identified a 19-genes immune signature predictive of relapse at the time of diagnosis, which was found to be strongly dependent on histological subtype. Moreover, comparative analyses be-tween paired diagnostic/relapsed biopsies of nodular sclerosis cHL showed 134 differentially expressed genes, highlighting an immune contexture shift at relapse not found in the mixed-cellularity subtype. Overall, these results strongly suggest that the predictive value of immune signature in cHL is influenced by histological subtype, a criterion that should be con-sidered when assessing new immunotherapy strategies.
2022-10-10 | GSE212902 | GEO
Project description:The cellular microenvironment in classical Hodgkin lymphoma (cHL) is dominated by a mixed infiltrate of inflammatory cells with typically only about 1% Hodgkin and Reed/Sternberg (HRS) tumor cells. T cells are usually the largest population of cells in the cHL microenvironment, encompassing T helper (Th) cells, regulatory T (Treg) cells and cytotoxic T cells. Th and Treg cells presumably provide essential survival signals for HRS cells. Treg cells are also involved in rescuing HRS cells from anti-tumor immune responses. An understanding of the immune evasion strategies of HRS cells is not only highly relevant for a characterization of the pathophysiology of cHL, but also clinically, given the current treatment approaches targeting checkpoint inhibitors. Here, we characterized the cHL-specific CD4+ T cell infiltrate regarding its role in immune evasion. Global gene expression analysis of CD4+ Th and Treg cells isolated from cHL lymph nodes and reactive tonsils revealed that Treg cell signatures were enriched in CD4+ Th cells of cHL. Hence, HRS cells may induce a Treg differentiation in Th cells, which was supported by in vitro studies with Th cells and cHL cell lines. Furthermore, we found indication for immune-suppressive purinergic signaling and a role of the inhibitory receptor-ligand pairs BTLA-HVEM and CD200R-CD200 in promoting immune evasion. Taken together, this study reveals that the immune evasion strategies in cHL are even more complex and multifaceted than previously recognized.
2017-10-09 | GSE102693 | GEO
Project description:The classical Hodgkin lymphoma (cHL) environment is comprised of a rich and varied immune cell infiltrate that is co-opted to support the survival and growth of malignant Hodgkin-Reed-Sternberg (HRS) cells. Several lines of evidence support the notion that, despite the immune suppressive environment that characterizes this disease, HRS cells are actively surveilled by endogenous T cells. For instance, HRS cells recurrently acquire genetic lesions associated with impaired antigen presentation and PD-L1 upregulation. Moreoever, cHL is particularly vulnerable to anti-PD-1/PD-L1 immunotherapy, which indicates that T cells can recognize and eliminate HRS cells when dominant immune checkpoints are disabled. However, the T cells that drive responses to anti-PD-1 therapy in cHL have not been defined. Furthermore, there is a paucity of data linking phenotypic and functional T cell states with clonality at the single cell level in cHL. To address this knowledge gap, we performed paired single cell RNA and T cell receptor sequencing (scRNA/TCR-seq) on 14 cHL and 5 reactive lymphoid tissue (RLT) specimens. Recurrent and significant clonal expansion within effector and exhausted CD8+ T cell and regulatory T (TREG) cell clusters was uniquely observed in most cHL specimens. Surprisingly, CD8+ T cells exhibiting transcriptional features of exhaustion were relatively uncommon in cHL specimens. Multi-plex flow cytometric analysis revealed maintained effector cytokine secretion by most conventional lymphoma-infiltrating T cells upon ex vivo restimulation, which argued against a profound T cell dysfunctional state in cHL, and suggested that lymphoma-iniltrating T cells, when removed from the immune suppressive cHL environment, are capable of exerting effector functions. Finally, these results raise new questions about the nature of the T cells that mediate response to PD-1 blockade therapy in patients with cHL.
2024-01-22 | GSE245920 | GEO
Project description:Lymphomas are classified according to the World Health Organization (WHO) classification which defines subtypes on the basis of clinical, morphological, immunophenotypic, molecular and cytogenetic criteria. Using this model, 8 of 9 of the validation samples were classified successfully. This pilot study demonstrates that such a microarray tool may be a promising diagnostic approach for small B-cell non-Hodgkin’s lymphoma. Keywords: Small B-Cell non-Hodgkin’s Lymphoma, Low Density DNA Microarray, Diagnosis Fresh-frozen tumor biopsies performed before treatment and clinical data were obtained retrospectively from 68 patients in five different institutions after lab investigations involving cytology, immunohistochemistry, cytogenetics (conventional cytogenetics and fluorescent in situ hybridization [FISH]), and/or molecular analysis. The samples were then classified unanimously by a panel of five pathologists as one of the 4 subtypes: 17 B-CLL, 14 MZL, 23 FL and 14 MCL. The immunohistochemical criteria used for identifying the 4 subtypes of SBCL were: CD20+/-, CD5+, CD23+ for B-CLL; CD20+, CD5+, CD23-, Cyclin D1+ for MCL; CD20+, CD10+, Bcl2+ for FL; CD20+, CD5-, CD10- for S-MZL. 28 samples were rejected for technical issues with RNA. The remaining 40 samples include the 4 different subtypes with this following distribution: Follicular Lymphoma/FL (n=15), Mantle Cell Lymphoma/MCL (n=7), B-Chronic Lymphocytic Leukemia/B-CLL (n=6) and Splenic Marginal Zone Lymphoma/S-MZL (n=12). The expression profile of 107 genes was evaluated in these 40 samples defined as a training set. Replicates were performed for samples of sufficient quantity, and a total of 79 gene expression profiles, comprised of 12 samples in triplicate, 15 samples in duplicate and 13 samples evaluated singly, were then analyzed. A second group of 13 patients was defined as test set and used to validate the gene signatures highlighted from the training set analysis. These patients were selected by a pathologist independent from the first analysis and include 4 FL, 3 B-CLL, 5 MCL and 1 S-MZL. Four samples were rejected for technical issues with RNA. The remaining 9 samples include the 4 different subtypes: 2 FL, 3 B-CLL, 3 MCL and 1 S-MZL. A total of 13 gene expression profiles were analyzed (4 samples evaluated in duplicate and 5 samples investigated singly).
2009-03-24 | E-GEOD-11635 | biostudies-arrayexpress
Project description:A unique feature of the tumour cells (Hodgkin/Reed-Sternberg (HRS)) of classical Hodgkin lymphoma (cHL) is the loss of their B-cell phenotype despite their B-cell origin. Several lines of evidence suggest that epigenomic events, especially promoter DNA-methylation, are involved in this silencing of many B-cell associated genes. Here we show that DNA-demethylation alone or in conjunction with histone-acetylation is not able to reconstitute the B-cell gene expression program in cultured HRS cells. Instead, combined DNA-demethylation and histone-acetylation of B cells induce a nearly complete extinction of their B-cell expression program and a tremendous up-regulation of numerous cHL characteristic genes including key players such as Id2 known to be involved in the suppression of the B-cell phenotype. Since the up-regulation of cHL characteristic genes and the extinction of the B-cell expression program occurred simultaneously, epigenetic changes may also be responsible for the malignant transformation of cHL. The epigenetic up-regulation of cHL characteristic genes thus play - in addition to promoter DNA-hypermethylation of B-cell associated genes – a pivotal role for the reprogramming of HRS cells and explain why DNA-demethylation alone is unable to reconstitute the B-cell expression program in HRS cells. Keywords: Epigenetic modification
2007-11-01 | GSE8388 | GEO
Project description:Gene expression profiling of biopsied human lymph node (LN) tissue comparing each patient sample against mobilised peripheral blood stem cells (PBSC), the reference channel Evaluate whether gene expression microarray can diagnose lymph node biopsies as reactive or as one of three main types of lymphoma: classical Hodgkin’s lymphoma (cHL), diffuse large B cell lymphoma (DLBCL) or follicular lymphoma (FL). Two condition experiment, LN vs mobilised PBSC, 116 cases assayed, 1 replicate per array
2012-11-28 | E-GEOD-23647 | biostudies-arrayexpress