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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of human cutaneous B-cell lymphoma skin punch biopsies, mycosis fungoides (MF) and 3 normal skin biopsies

ABSTRACT: We studied gene expression profiles of 17 cutaneous B-cell lymphomas that were collected with 4-6 millimeter skin punch biopsies. We also included tissue from 2 cases of mycosis fungoides (MF), 3 normal skin biopsies and 3 tonsils to create a framework for further interpretation. A hierarchical cluster algorithm was applied for data analysis. Our results indicate that small amounts of skin tissue can be used successfully to perform microarray analysis and result in distinct gene expression patterns. Duplicate specimens clustered together demonstrating a reproducible technique. Within the cutaneous B-cell lymphoma specimens two specific B-cell differentiation stage signatures of germinal center B-cells and plasma cells could be identified. Primary cutaneous follicular and primary cutaneous diffuse large B-cell lymphomas had a germinal center B-cell signature while a subset of marginal zone lymphomas demonstrated a plasma cell signature. Primary and secondary follicular B-cell lymphoma of the skin were closely related, despite previously reported genetic and phenotypic differences. In contrast primary and secondary cutaneous diffuse large B-cell lymphoma were less related to each other. This pilot study allows a first glance into the complex and unique microenvironment of B-cell lymphomas of the skin and provides a basis for future studies, that may lead to the identification of potential histologic and prognostic markers as well as therapeutic targets.

ORGANISM(S): Homo sapiens

SUBMITTER: Janos Demeter

PROVIDER: E-SMDB-1798 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Gene Expression Profiles of cutaneous B-cell lymphoma

Project description:We studied gene expression profiles of 17 cutaneous B-cell lymphomas that were collected with 4-6 millimeter skin punch biopsies. We also included tissue from 2 cases of mycosis fungoides (MF), 3 normal skin biopsies and 3 tonsils to create a framework for further interpretation. A hierarchical cluster algorithm was applied for data analysis. Our results indicate that small amounts of skin tissue can be used successfully to perform microarray analysis and result in distinct gene expression patterns. Duplicate specimens clustered together demonstrating a reproducible technique. Within the cutaneous B-cell lymphoma specimens two specific B-cell differentiation stage signatures of germinal center B-cells and plasma cells could be identified. Primary cutaneous follicular and primary cutaneous diffuse large B-cell lymphomas had a germinal center B-cell signature while a subset of marginal zone lymphomas demonstrated a plasma cell signature. Primary and secondary follicular B-cell lymphoma of the skin were closely related, despite previously reported genetic and phenotypic differences. In contrast primary and secondary cutaneous diffuse large B-cell lymphoma were less related to each other. This pilot study allows a first glance into the complex and unique microenvironment of B-cell lymphomas of the skin and provides a basis for future studies, that may lead to the identification of potential histologic and prognostic markers as well as therapeutic targets. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Computed

2005-12-16 | E-GEOD-3827 | biostudies-arrayexpress

Gene Expression Profiles of cutaneous B-cell lymphoma

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Translocations Activating IRF4 Identify a Subtype of Germinal-Center-Derived B-cell Lymphoma Affecting Predominantly Children and Young Adults

Project description:Background: Germinal center B-cell (GCB) lymphomas are common in children and adults. The prognosis strongly depends on age. Subgroups of GCB-lymphomas are characterized by chromosomal translocations affecting immunoglobulin (IG) loci leading to oncogene deregulation. Methods: Novel IG translocation partners were cloned within the network “Molecular Mechanisms in Malignant Lymphomas” (MMML) by long-distance inverse polymerase chain reaction. Mature aggressive B-cell lymphomas from the MMML as well as pediatric and adult lymphoma trials were analyzed by fluorescence in situ hybridization (FISH) and immunhistochemistry. Data from 438 MMML cases characterized by gene expression profiling were mined. Results: Cloning of unknown IG partners identified a t(6;14)(p25;q32) juxtaposing the IRF4 oncogene with the IGH-locus as novel recurrent aberration in GCB lymphoma. FISH analyses of 427 mature B-cell lymphomas for IRF4 translocations revealed 20 IG/IRF4 positive lymphomas (17 IGH/IRF4, 2 IGL/IRF4, 1 IGΚ/IRF4). IG/IRF4-positive lymphomas were predominantly GCB-type diffuse large B-cell lymphomas (DLBCL) or follicular lymphoma grade 3, shared overexpression of IRF4/MUM1 and BCL6 and lacked PRDM1/BLIMP1 expression and t(14;18)/BCL2 breaks. BCL6 aberrations were common. The gene expression profile of IG/IRF4-positive lymphomas was different from other subtypes of DLBCL and a classifier for IG/IRF4 positivity containing 27 genes allowed prediction of 3 additional MMML IG/IRF4-positive cases subsequently proven by FISH. IG/IRF4-positivity was associated with a favorable outcome likely due to significant enrichment of IG/IRF4-positive lymphomas in childhood and young adulthood. Conclusions: Our results suggest IRF4 translocations to be primary genetic alterations in a novel molecularly defined subset of GC-derived lymphomas predominantly affecting children. 271 diffuse large B-Cell lymphoma samples were hybridized to HGU133A Affymetrix GeneChips.

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Genomic Landscape of Cutaneous Diffuse Large B Cell Lymphoma

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Comparative gene expression profiling of cutaneous B cell lymphomas

Project description:The oncogenic microRNA 17-92 cluster is involved in the lymphomagenesis of nodal and systemic B cell lymphomas, but has not been studied so far in primary cutaneous B cell lymphomas. We performed the quantitative analysis of miR-17-92 cluster and its paralogs miR-106a-363 and miR-106b-25 in 22 primary cutaneous diffuse large B-cell lymphomas-leg type (PCLBCL-LT) and 22 primary cutaneous follicle center lymphomas (PCFCL). Mir-20a and miR-106a were overexpressed in PCLBCL-LT compared to PCFCL. Multivariate Cox analysis showed that higher miR-20a and miR-20b were associated with poorer disease-free survival and poorer overall survival, independently of histological type. Gene expression profiling showed underexpression of 8 candidate target genes of miR-20a, miR-20b and miR-106a in PCLBCL-LT compared to PCFCL. Among the candidate target genes, PTEN, NCOA3 and CAPRIN2 were confirmed to be underexpressed in PCLBCL-LT using quantitative RT-PCR of laser-microdissected tumor cells. In multivariate Cox analysis, lower PTEN mRNA expression level was associated with poorer disease-free survival, independently of the histological type. Altogether, this molecular and bioinformatics study of patients’ skin biopsy samples showed that the oncogenic miR-17-92 cluster is involved in cutaneous B cell lymphoma progression, and that the down-regulation of its target gene PTEN is associated with poorer disease-free survival.

2016-12-31 | GSE55833 | GEO

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Subgrouping Germinal Center-Derived B-Cell Lymphomas based on Machine Learning-deduced DNA Methylation Modules

Project description:Despite all being derived from germinal center B-cells, follicular and diffuse large B-cell lymphomas are biologically and clinically heterogeneous. DNA methylation has emerged as a robust biomarker for classification of solid tumors, but its application to subtype mature B-cell lymphomas is still in its beginning. Therefore, we conducted array-based DNA methylation analyses on 177 molecularly well-characterized mature B-cell lymphomas from the ICGC MMML-Seq project. The Phenotype-Genotype Many-to-Many Relations Analysis machine learning method was applied to identify significant biclusters of CpGs and samples. The analysis revealed 300 CpGs forming four modules, which ordered the lymphomas into seven methylation patterns (MP1-7). These MP1-7 showed significant associations with biological features of the lymphomas. For example, MP1 and MP2 both predominately comprised follicular lymphomas but significantly differed in age at diagnosis and proliferation history. MP4-MP7 consisted mainly of diffuse large B-cell lymphomas but showed differences regarding their cell-of-origin signatures. MP6 showed enrichment of cases with an MCD/C5-like mutational signature with MYD88 alterations as hallmark. The 300 CpGs also segregated apart Burkitt lymphoma and non-malignant B-cell populations. The identified CpG modules and methylation profiles, thus, reflect properties of mature B-cell lymphomas across different biologic layers from age at diagnosis to mutational signatures.

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Serum DIA LC-MS of ocular adnexal lymphomas and controls

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Recruitment of MYC to target genes in ramos and mutu3 cells

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