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Digital Spatial Profiling reveals tumor microenvironment of Hodgkin-like adult T-cell leukemia/lymphoma.

ABSTRACT: Digital Spatial Profiling reveals tumor microenvironment of Hodgkin-like adult T-cell leukemia/lymphoma.

PROVIDER: PRJNA880885 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR21594200_1.fastq.gz	Fastqsanger.gz
	SRR21594200_2.fastq.gz	Fastqsanger.gz
	SRR21594201_1.fastq.gz	Fastqsanger.gz
	SRR21594201_2.fastq.gz	Fastqsanger.gz
	SRR21594202_1.fastq.gz	Fastqsanger.gz

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Digital Spatial Profiling of tumor microenvironment of classic Hodgkin lymphoma.

Project description:Digital Spatial Profiling of tumor microenvironment of classic Hodgkin lymphoma.

| PRJNA905056 | ENA

Digital Spatial Profiling of tumor microenvironment of classic Hodgkin lymphoma.

Project description:Classic Hodgkin lymphoma (CHL) harbors a small number of Hodgkin-Reed-Sternberg (HRS) cells scattering among numerous lymphocytes. HRS cells are surrounded by distinct CD4+ T cells in a rosette-like manner. These CD4+ T cell rosettes play an important role in tumor microenvironment (TME) of CHL. To elucidate the interaction between HRS cells and CD4+ T cell rosettes, we performed digital spatial profiling (DSP) and compared gene expression profile between CD4+ T cell rosettes and other CD4+ cells separated from HRS cells. programed cell death-1 (PD-1) and tumor necrosis factor receptor superfamily member (TNFRSF) 4 were significantly highly expressed in CD4+ T cell rosettes than others. Immunohistochemistry confirmed PD-1 and TNFRSF4-expressing CD4+ T cell rosettes. This study introduced the new pathological approach to TME and provided deeper insight to CD4+ T cells in CHL.

2023-07-03 | GSE218703 | GEO

Digital Spatial Profiling reveals tumor microenvironment of Hodgkin-like adult T-cell leukemia/lymphoma.

Project description:Hodgkin-like adult T-cell leukemia/lymphoma (ATLL) is a rare subtype of ATLL harboring human T cell lymphotropic virus type-1-infected Hodgkin-Reed-Sternberg (HRS)-like cells and small to medium CD4+ T cells, which histologically mimics classic Hodgkin lymphoma (CHL). CD30+ tumor cells or HRS cells are surrounded by CD4+ non-neoplastic T cells in a rosette-like manner in CHL. Interaction between HRS cells and surrounding CD4+ T cells is important for tumor microenvironment (TME) in CHL. Tumor microenvironment of Hodgkin-like ATLL remains unclear. Here, Digital Spatial Profiling was performed on Hodgkin-like ATLL to elucidate the interaction between HRS-like cells and CD4+ T cells in Hodgkin-like ATLL. We identified CD4+ T cells expressing co-stimulatory molecules, CD28 and inducible T cell co-stimulator (ICOS), in CD4+ T cells surrounding the HRS-like cells than in those apart from HRS-like cells. Immunohistochemistry was performed in 11 cases of Hodgkin-like ATLL, which detected distinct CD4+ T cells expressing CD28 in a rosette-like manner around HRS-like cells. HRS-like cells widely expressed CD80 and CD86, which suggested CD28-CD80/CD86 interaction was important in pathogenesis of Hodgkin-like ATLL. ICOS and immune checkpoint molecules, including T cell immunoreceptor with immunoglobulin and ITIM domain (TIGIT) and programmed death-1 (PD-1) were also variably expressed in CD4+ T cells surrounding HRS-like cells. Our findings provide new insights into the tumor microenvironment of Hodgkin-like ATLL and implicate a new therapeutic strategy targeting these molecules.

2023-12-06 | GSE213461 | GEO

Digital Spatial Profiling of CD4+ cells in classic Hodgkin lymphoma.

Project description:Classic Hodgkin lymphoma (CHL) harbors a small number of Hodgkin-Reed-Sternberg (HRS) cells scattered among numerous lymphocytes. HRS cells are surrounded by distinct CD4+ T cells in a rosette-like manner. These CD4+ T cell rosettes play an important role in the tumor microenvironment (TME) of CHL. To elucidate the interaction between HRS cells and CD4+ T cell rosettes, we completed digital spatial profiling to compare the gene expression profiles of CD4+ T cell rosettes and other CD4+ T cells separated from the HRS cells. Tumor necrosis factor receptor superfamily member (TNFRSF) 4 or OX40 showed significantly higher expression in CD4+ T cell rosettes when compared with other CD4+ T cells. Programed cell death-1 (PD-1) and cytotoxic T lymphocyte associated protein 4 (CTLA-4) tended to be highly expressed in CD4+ T cell rosettes compared to other CD4+ T cells. Immunohistochemistry revealed variable expression of these immune checkpoint molecules in the CD4+ T cell rosettes. This study introduced a new pathological approach to the TME and provided deeper insight into CD4+ T cells in CHL.

2023-07-03 | GSE227013 | GEO

Digital Spatial Profiling of CD4+ cells in classic Hodgkin lymphoma.

Project description:Digital Spatial Profiling of CD4+ cells in classic Hodgkin lymphoma.

| PRJNA942913 | ENA

T-cell-derived Hodgkin lymphoma has motility characteristics intermediate between Hodgkin and anaplastic large cell lymphoma

Project description:Global proteomics profiling of anaplastic large cell lymphoma cell lines DEL, SU-DHL-1 (ALK+), Mac-1, Mac-2A (ALK-) as well as Hodgkin lymphoma cell lines L-428, L-540, L-1236 and HDLM-2.

2022-08-12 | PXD031907 | Pride

Hodgkin lymphoma

Project description:This SuperSeries is composed of the following subset Series: GSE25986: Gene expression profiling of cell lines derived from classical Hodgkin lymphoma GSE25987: Gene expression profiling of Hodgkin lymphoma cell line KMH2: Comparison of CIITA-BX648577 knockdown cultures with non-silencing controls GSE25989: Copy number analysis of Hodgkin lymphoma cell lines KM-H2 and L-428 Refer to individual Series *** This submission represents the microarray gene expression and microarray copy number components of the study

2010-12-11 | E-GEOD-25990 | biostudies-arrayexpress

Therapeutic targets and microenvironment in sequential biopsies of classical Hodgkin lymphoma at diagnosis and relapse

Project description:BACKGROUND: Classical Hodgkin lymphoma is dominated by the nonneoplastic microenvironment, while the neoplastic Hodgkin-Reed-Sternberg cells compose only a minority of cells in the lymphoma tissue. Both, the Hodgkin-Reed-Sternberg cells due to their expression of CD30 and PD-L1 and the microenvironment with abundant T-cells and expression of PD1 are specifically targeted by new treatment concepts. AIM: We aimed to understand the dynamics of therapeutic targets in patients treated with conventional chemotherapy. METHODS: We analyzed sequential biopsy specimens obtained at diagnosis and at relapse from the same patient for morphology, immunophenotype and microenvironmental components. RESULTS: The morphological subtype changed between primary and relapse biopsy in 20% of cases. The immunophenotype was stable with respect to CD30, CD3 and LMP1 but variable with respect to CD15 and CD20 expression. Gene expression revealed 8 up- and 20 down-regulated genes at relapse (p≤0.05) with a consistent logarithmic fold change direction in at least 75% of all cases. For PD1, we found discrepant results between gene expression analysis (decrease at relapse) and number of PD1 positive cells assessed by immunohistochemistry (unchanged at relapse). PD-L1 in the neoplastic cells appeared unchanged between primary diagnosis and relapse. CONCLUSION: The expression of the therapeutic targets CD30, PD1 and PD-L1 can reliably be assessed in tumor specimen at first diagnosis and are unchanged under conventional chemotherapy. We used digital multiplexed gene expression (DMGE) with FFPE derived RNA to analyze sequential biopsy specimens obtained at diagnosis and at relapse from the same patient for morphology, immunophenotype and microenvironmental components.

2019-06-24 | GSE125651 | GEO

Single-cell-type Spatial Proteomics Unveils Precision Medicine Insights in Composite Small Lymphocytic and Classical Hodgkin Lymphoma

Project description:Deep Visual Proteomics (DVP) is an innovative technique that enables spatially resolved sing-cell-type proteome analysis. The coexistence of classical Hodgkin lymphoma (cHL) and small lymphocytic lymphoma (SLL) in a single patient presents a challenging scenario for clinical decision-making. In this study, we investigate the potential of DVP to provide insights into precision medicine strategies. We use DVP to comprehensively profile the proteomic landscapes and signaling pathways within cHL and SLL compartments in a 71-year-old woman with composite lymphoma. Our analysis reveals distinct proteome profiles in cHL and SLL populations, highlighting their clonal unrelatedness. Beyond ABVD chemotherapy, we identify subtype-specific therapeutic targets: Minichromosome Maintenance protein inhibitors and proteasome inhibitors for cHL, and H3K27 methylation inhibitors and receptor tyrosine kinase inhibitors for SLL. Additionally, we explore interleukin-4 inhibition as a potential strategy to manage chemo-resistance. DVP provides insights into spatial single-cell proteomics, guiding personalized treatments for composite lymphoma patients.

2024-10-29 | PXD051795 | Pride

5' gene expression (GEX) single-cell RNA sequencing of four (4) Hodgkin Lymphoma patient tumor biopsies

Project description:Hodgkin lymphoma tumors are characterized by profound infiltration of immune cells. We used scRNA-seq to analyze the cellular composition of the tumor microenvironment in Hodgkin lymphoma.

2024-04-15 | GSE232761 | GEO

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