Project description:Richter syndrome (RS) occurs in up to 15% of patients with chronic lymphocytic leukemia (CLL). While RS, usually represented by the histologic transformation to a diffuse large B-cell lymphoma (DLBCL), is associated with a very poor outcome, especially when clonally related to the pre-existing CLL, mechanisms leading to RS have not been clarified yet. To better understand the pathogenesis of RS, we analyzed a series of cases including: 59 RS, 28 CLL-phase of RS, 315 CLL and 127 de novo DLBCL. RS demonstrated a genomic complexity intermediate between CLL and DLBCL. Cell cycle deregulation via inactivation of TP53 and of CDKN2A was a main mechanism in the histologic transformation from CLL-phase, being present in approximately half of the cases, and affected the outcome of the RS patients. A second major subgroup was characterized by the presence of trisomy 12 and comprised one third of the cases. While RS shared some of the lesions seen in de novo DLBCL, its genomic profile was clearly separate. The CLL-phase preceding RS had not a generalized increase in genomic complexity when compared with untransformed CLL, but it presented clear differences in the frequency of specific genetic lesions. Genomic profiling of Richter-syndrome Chronic Lymphocytic Leukemia
Project description:Richter syndrome (RS) occurs in up to 15% of patients with chronic lymphocytic leukemia (CLL). While RS, usually represented by the histologic transformation to a diffuse large B-cell lymphoma (DLBCL), is associated with a very poor outcome, especially when clonally related to the pre-existing CLL, mechanisms leading to RS have not been clarified yet. To better understand the pathogenesis of RS, we analyzed a series of cases including: 59 RS, 28 CLL-phase of RS, 315 CLL and 127 de novo DLBCL. RS demonstrated a genomic complexity intermediate between CLL and DLBCL. Cell cycle deregulation via inactivation of TP53 and of CDKN2A was a main mechanism in the histologic transformation from CLL-phase, being present in approximately half of the cases, and affected the outcome of the RS patients. A second major subgroup was characterized by the presence of trisomy 12 and comprised one third of the cases. While RS shared some of the lesions seen in de novo DLBCL, its genomic profile was clearly separate. The CLL-phase preceding RS had not a generalized increase in genomic complexity when compared with untransformed CLL, but it presented clear differences in the frequency of specific genetic lesions.
Project description:Genome-wide DNA Methylation Data from Illumina HumanMethylationEPIC arrays for whole blood samples from 570 healthy individuals. Raw IDAT files are available for a subset of 403 samples on EGA. Raw data (IDAT files) and associated phenotype information are available for all individuals included in this study (n=570) directly from CIBMTR. Data are available under controlled access release upon reasonable request and execution of a data use agreement. Requests should be submitted to CIBMTR at info-request@mcw.edu and include the study reference IB17-04.
Project description:This dataset includes chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), follicular lymphoma (FL), mantle cell lymphoma (MCL), and marginal zone lymphoma (MZL) cases reviewed for pathology consensus at the University Health Network. Also included are challenging cases of small B-cell lymphomas without pathology consensus. Methylation array profiling was performed using the Infinium MethylationEPIC array platform. Unprocessed IDAT files and matrix with beta values (beta_TGL51_illumina_annot_geo.txt) are provided.
Project description:DNA methylation analysis was perfomed using Infinium EPIC Methylation BeadChip platform on 65 PFA ependymoma patient samples. Resulting .idat files were then uploaded to the molecularneuropathology.org classifier to obtain molecular subgroup and copy number variance. Idat files were batch normalized and background corrected using default settings of the R package ChAMP to obtain GpG methylation beta values for analysis of differentially methylated GpG regions.
Project description:DNA methylation analysis was perfomed using Infinium 450K Methylation BeadChip platform on 140 PFA ependymoma patient samples. Resulting .idat files were then uploaded to the molecularneuropathology.org classifier to obtain molecular subgroup and copy number variance. Idat files were batch normalized and background corrected using default settings of the R package ChAMP to obtain GpG methylation beta values for analysis of differentially methylated GpG regions.
Project description:Genomewide DNA methylation array profiling of 37 BCOR altered tumors and 37 non-BCOR altered tumors to study the rare tumor entity of EP300::BCOR fusion in central nervous system. The raw methylation idat files and processed beta values were provided here.
Project description:Richter syndrome (RS) is the aggressive transformation of Chronic Lymphocytic Leukemia, mostly with Diffuse Large B-Cell Lymphoma histology. While histologically similar, RS and de novo DLBCLs present with different clinical courses. We characterized the RS epigenome by combining genome-wide DNA methylation with transcriptome-sequencing on a large RS cohort.