Project description:CpG island methylation profiling of anaplastic gliomas compared to healthy control. Goal was to identify anaplastic glioma-specific differentially methylated regions (DMRs).
Project description:Anaplastic thyroid cancer (ATC) is one of the most malignant tumors, with a median survival of only a few months. The tumorigenic processes of this disease has not yet been completely unraveled. Here, we report an DNA methylation analysis of ten primary ATC. ATC displayed a global hypomethylation of the genome but with hypermethylation of promoters and CpG islands. This study shows that aberrant DNA methylation is common in ATC and likely contributes to tumorigenesis in this disease. Future explorations of novel treatments should take this into consideration.
Project description:Anaplastic large cell lymphoma (ALCL) is a peripheral T-cell lymphoma that accounts for 10–15% of all childhood lymphomas. Despite the observation that more than 90% of the cases show ALK-rearrangement resulting in aberrant ALK kinase expression, there is significant clinical, morphologic, and biological heterogeneity. To gain insight into the molecular heterogeneity within ALK-positive ALCL, we analyzed 46 ALK-positive ALCL samples by whole-exome sequencing, RNA-sequencing, and DNA methylation array analysis. Gene expression and methylation profiling consistently subclassified ALK-positive ALCL cases into two groups differentiated by ALK expression level. The ALK-low group showed enrichment pathways of the immune response and cytokine signaling and were more heavily hypermethylated than the ALK high group, which was characterized by enriched pathways of cell growth, proliferation, metabolic pathways, and large copy number change. Taken together, these findings suggest that there is molecular heterogeneity within pediatric ALK+ALCL, predicting distinct biological mechanisms that may be utilized as prognostic markers.
Project description:The study involves targeted sequencing of 30 orphan FFPE tumors obtained from anaplastic thyroid carcinoma patients of Indian origin. With this, we aim to describe the mutation profile of this specific subset of anaplastic thyroid cancer patients. This knowledge will further allow us to gain an insight into genomic alterations prevalent in Indian anaplastic thyroid carcinoma.
Project description:Aberrant DNA methylation patterns of malignant cells allow for the study of the tumor phenotype and behavior, and can be used for tumor classification. Here, we describe the genome-wide DNA methylation signatures of NPM-ALK positive and negative anaplastic large cell lymphoma (ALCL). Differences in DNA methylation of tumor cells compared to normal T cells concern pathways that are implicated in T cell development and function and reveal a close relationship to distinct developmental stages of thymocytes. We find DNA hypomethylation in regulatory regions that are enriched for conserved transcription factor binding motifs, such as AP1. Our results suggest a direct relationship of oncogenic signaling with epigenetic modifications via transcription factor induction and occupancy.
Project description:Morbidity and mortality associated with retinoblastoma have decreased drastically in recent decades, in large part due to better prediction of high-risk disease and appropriate treatment stratification. High-risk histopathologic features and severe anaplasia both predict the need for more aggressive treatment; however, not all centers are able to easily assess tumor samples for degree of anaplasia. Instead, identification of genetic signatures able to distinguish among anaplastic grades and thus predict high versus low risk retinoblastoma would facilitate appropriate risk stratification in a wider patient population. A better understanding of genes dysregulated in anaplasia would also yield valuable insights into pathways underlying the development of more severe retinoblastoma. Here, we present the histopathologic and gene expression analysis of 28 retinoblastoma cases using microarray analysis. Tumors of differing anaplastic grade show clear differential gene expression, with significant dysregulation of unique genes and pathways in severe anaplasia. Photoreceptor and nucleoporin expression in particular are identified as highly dysregulated in severe anaplasia and suggest particular cellular processes contributing to the development of increased retinoblastoma severity. A limited set of highly differentially expressed genes are also able to accurately predict severe anaplasia in our dataset. Together, these data contribute to the understanding of the development of anaplasia and facilitate the identification of genetic markers of high-risk retinoblastoma. We used microarray analysis to determine the gene expression patterns of 28 human retinoblastoma samples according to their grade of cellular anaplasia.
Project description:To measure methylation, we employed Methyl-CpG-immunoprecipitation (MCIP) a technique which relies on a fusion protein consisting of the methyl-binding domain (MBD) of MBD2 and the Fc portion of IgG1 to detect methylated regions, exploiting the natural preference of MBD for 5-methylcytosine (5-mC). MCIP-seq was performed using the EpiMark® Methylated DNA Enrichment Kit. MCIP-seq of 77 primary samples obtained from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). Moreover, MCIP-seq of CD34+ HSPCs from 3 healthy donors is included. Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011052 (dataset).
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.