Project description:Gene expression profiling of extranodal nasal-type NK/T cell lymphoma and other EBV-associated lymphoid proliferation disease patients was analyzed to elucidate association between JAK-STAT pathway and canonical or non-canonical PRC2/EZH2 target pathways using Illumina HumanRef-8 v3 chips.
Project description:Gene expression profiling of extranodal nasal-type NK/T cell lymphoma and other EBV-associated lymphoid proliferation disease patients was analyzed to elucidate association between JAK-STAT pathway and canonical or non-canonical PRC2/EZH2 target pathways using Illumina HumanRef-8 v3 chips.
Project description:Gene expression profiling of extranodal nasal-type NK/T cell lymphoma and other EBV-associated lymphoid proliferation disease patients was analyzed to elucidate association between JAK-STAT pathway and canonical or non-canonical PRC2/EZH2 target pathways using Illumina HumanRef-8 v3 chips. In total, 47 samples were assayed in this data set. The non-normalized data were used for analysis. No normalization was performed.
Project description:Gene expression profiling of extranodal nasal-type NK/T cell lymphoma and other EBV-associated lymphoid proliferation disease patients was analyzed to elucidate association between JAK-STAT pathway and canonical or non-canonical PRC2/EZH2 target pathways using Illumina HumanRef-8 v3 chips. 6 samples in total in this data set. 3 from NKTL cell line, 3 from NKTL patient. The non-normalized data were used for analysis. No normalization was performed.
Project description:NK-cell lymphoma shares strikingly similar molecular features with a distinct subset of gamma-delta T-cell lymphoma. Gene expression profiling of NK-cell lymphoma patient samples was performed to investigate whether molecular signatures can be used to identify entities of peripheral T-cell lymphoma (PTCL) with NK-cell-like features. Gene expression profiling was performed on NK-cell maligancies to examine extranodal NK/T-cell lymphoma (ENKTL) and aggressive NK-cell leukemia (ANKL) and well-characterized cell lines of NK- and T-cell lineages to define molecular classifiers that can distinguish ENKTL from other lymphomas.
Project description:To investigate if biologically distinct subsets exists in extranodal NK/T-cell lymphoma (NKTL), we performed unsupervised integrative analyses of gene expression profiling (GEP), miRNA profiling, and copy number aberration (CNA) on 66 cases of NKTL from diverse anatomical sites. This series is the GEP data.
Project description:Extranodal NK/T cell lymphoma (ENKTCL) is an aggressive Epstein-Barr virus-associated T/NK neoplasm that predominantly affects Asians. To explore the causative somatic events, we conducted a comprehensive genetic analysis of 19 ENKTCL patients including whole-exome sequencing (N = 16). Commonly deregulated gene pathways in ENKTCL included epigenetic modifiers followed by human leukocyte antigen (HLA) and related genes and JAK-STAT pathway.
Project description:Extranodal NK/T-cell lymphoma (ENKTL) and primary Epstein–Barr virus (EBV)-positive nodal T/NK-cell lymphoma (nodal-TNKL) are aggressive lymphomas with overlapping clinicopathologic features but distinct underlying biology. While their genomic landscapes have been increasingly defined, comparative epigenetic characterization remains limited. We performed methylated DNA immunoprecipitation sequencing (MeDIP-seq) on formalin-fixed paraffin-embedded samples from ENKTL, nodal-TNKL, ENKTL cell lines, and control tissues. ENKTL displayed extensive promoter hypermethylation associated with repression of tumor suppressor genes, lineage regulators, and lymphoid signaling genes, including LEF1 and BANK1, together with focal hypomethylation of immune- and interferon-responsive genes such as IFITM1. In contrast, nodal-TNKL showed global hypomethylation, particularly affecting cytotoxicity, immune-response, and antigen-presentation pathways; TET2-mutated cases exhibited locus-specific methylation changes consistent with impaired active demethylation. Across all samples, global DNA methylation levels correlated with genomic instability. Unsupervised clustering identified two epigenetically distinct ENKTL subgroups, one characterized by higher global methylation, TP53 loss, increased copy number alterations and loss of heterozygosity, and significantly poorer overall survival. Together, this study defines fundamental epigenetic differences between ENKTL and nodal-TNKL and links DNA methylation dynamics to genomic instability and clinical outcome, highlighting the value of methylation profiling for refined classification, risk stratification and therapeutic guidance.
Project description:To investigate if biologically distinct subsets exists in extranodal NK/T-cell lymphoma (NKTL), we performed unsupervised integrative analyses of gene expression profiling (GEP), miRNA profiling, and copy number aberration (CNA) on 66 cases of NKTL from diverse anatomical sites. This series is the CNA data.