Project description:Angiosarcomas are rare malignant tumors of the endothelium, arising commonly from the head and neck region (AS-HN) and recently associated with ultraviolet (UV) exposure and human herpesvirus-7 (HHV-7) infection. We examined 81 cases of angiosarcomas, including 47 cases of AS-HN, integrating information from whole genome sequencing, gene expression profiling and spatial transcriptomics (10X Visium). In this dataset spatial transcriptomics revealed topological profiles of the tumor microenvironment, identifying dominant but tumor-excluded inflammatory signals in “immune-hot” cases and immune foci even in otherwise “cold” cases. In conclusion, spatial transcriptomics reveal the tumor immune landscape of angiosarcoma, and in combination with multi-omic information, may improve implementation of treatment strategies.
Project description:This experiment contains a subset of data from the BLUEPRINT Epigenome project ( http://www.blueprint-epigenome.eu ), which aims at producing a reference haemopoetic epigenomes for the research community. 29 samples of primary cells or cultured primary cells of different haemopoeitc lineages from cord blood are included in this experiment. This ArrayExpress record contains only meta-data. Raw data files have been archived at the European Genome-Phenome Archive (EGA, www.ebi.ac.uk/ega) by the consortium, with restricted access to protect sample donors' identity. The relevant accessions of EGA data sets is EGAD00001001165. Details on how to apply for data access via the BLUEPRINT data access committee are on the EGA data set pages. The mapping of samples to these EGA accessions can be found in the 'Sample Data Relationship Format' file of this ArrayExpress record. Information on individual samples and sequencing libraries can also be found on the BLUEPRINT data coordination centre (DCC) website: http://dcc.blueprint-epigenome.eu
Project description:This experiment contains a subset of data from the BLUEPRINT Epigenome project ( http://www.blueprint-epigenome.eu ), which aims at producing a reference haemopoetic epigenomes for the research community. 4 samples of primary cells from tonsil with cell surface markes CD20med/CD38high in young individuals (3 to 10 years old) are included in this experiment. This ArrayExpress record contains only meta-data. Raw data files have been archived at the European Genome-Phenome Archive (EGA, www.ebi.ac.uk/ega) by the consortium, with restricted access to protect sample donors' identity. The relevant accessions of EGA data sets is EGAD00001001523. Details on how to apply for data access via the BLUEPRINT data access committee are on the EGA data set pages. The mapping of samples to these EGA accessions can be found in the 'Sample Data Relationship Format' file of this ArrayExpress record. Information on individual samples and sequencing libraries can also be found on the BLUEPRINT data coordination centre (DCC) website: http://dcc.blueprint-epigenome.eu
Project description:Introduction Angiosarcoma of the head and neck is a rare vascular sarcoma associated with high rates of local recurrence and distant metastasis and a poor prognosis. Objective We describe our experience treating patients with angiosarcoma of the head and neck to evaluate the outcomes, patterns of failure, and current treatments. Methods We identified six patients with angiosarcoma of the head and neck and treated at our institution between 2000 and 2013. We compared our results to the literature from 1979 to 2013. Results Mean follow-up was 42 months. Local recurrence rate was 50% with disease-specific survival and 2-year disease-free survival rates of 33.3 and 20%, respectively. Prognostic factors included tumor size > 5 cm and surgical margin status, with no correlation between histologic grade and survival. Combined-modality therapy was only used for aggressive tumors with positive surgical margins but is suggested to improve local control and overall survival. Conclusions Our data series supports that angiosarcoma of the head and neck has a high rate of recurrence and is associated with a poor prognosis, despite current combined-modality therapy. The study highlights the importance of attaining negative margins during surgical resection, the utility of adjuvant therapies, as well as the need for continued research in developing new management strategies.
Project description:This experiment contains a subset of data from the BLUEPRINT Epigenome project ( http://www.blueprint-epigenome.eu ), which aims at producing a reference haemopoetic epigenomes for the research community. 74 samples of primary cells or cultured primary cells of different haemopoeitc lineages from cord blood, venous blood, bone marrow and thymus are included in this experiment. This ArrayExpress record contains only meta-data. Raw data files have been archived at the European Genome-Phenome Archive (EGA, www.ebi.ac.uk/ega) by the consortium, with restricted access to protect sample donors' identity. There are 32 EGA data set accessions, which can be found under the Comment[EGA_DATA_SET] column in the 'Sample Data Relationship Format' (SDRF) file of this ArrayExpress record (http://www.ebi.ac.uk/arrayexpress/files/E-MTAB-3827/E-MTAB-3827.sdrf.txt). Details on how to apply for data access via the BLUEPRINT data access committee are on the EGA data set pages. Likewise, mapping of samples to these EGA accessions can be found in the SDRF file. Please note that the raw data files for 11 sequencing runs have yet been deposited at EGA, so they are marked with \\ot available\\ under the Comment[SUBMITTED_FILE_NAME] field in the SDRF file, and were included for the sake of completeness. Further iInformation on individual samples and sequencing libraries can also be found on the BLUEPRINT data coordination centre (DCC) website: http://dcc.blueprint-epigenome.eu\
Project description:Aberrant DNA methylation (5mC) is one of the key characteristics of many cancers including head and neck squamous cell carcinoma (HNSCC). The DNA demethylating agent 5-aza-2’-deoxycytidine (DAC) has anti-cancer therapeutic potential, but its clinical efficacy is currently hindered by dose-limiting side effects. Here we investigated the potential use of DAC in the treatment of HNSCC and show that its efficacy is primarily dependent on the ability of DAC to demethylate DNA. In order to establish whether HNSCC cells can be sensitized to DAC, a panel of 100 generic drugs were screened in combination with DAC. While the 100-drug panel did not sensitise DAC-resistant HNSCC cell lines to DAC treatment, the screen identified that paracetamol (acetaminophen), valproic acid and zinc acetate significantly enhanced DAC efficacy in the DAC-responsive cell lines. DAC and paracetamol were established to work in synergy, allowing DAC to be used at therapeutically relevant low doses (below 500nM). The mechanisms underlying the DAC-paracetamol synergy are multifactorial and encompass both effects of DAC on paracetamol action (alterations in the cyclooxygenase (COX) pathway and mimicry of paracetamol overdose) as well as decreased DNA methylation by paracetamol. Therefore, we propose DAC to be a potential therapeutic in a subset of HNSCC patients with its efficacy significantly increased by use of the common analgesic paracetamol. The DAC-paracetamol synergy should also be considered in cancers with an approved DAC treatment regime.
Project description:In this study, we investigated somatic mutations in T cells in patients with various hematological disorders. To analyze immune cell phenotypes with somatic mutations, we performed scRNA+TCRab sequencing from 9 patients with chronic GVHD and clonal expansions of CD4+ or CD8+ T cells based on T cell receptor sequencing. CD45+ PBMCs (lymphocytes and monocytes) were sorted with BD Influx cell sorter and subjected to sequencing with Chromium VDJ and Gene Expression platform (v1.1, 10X Genomics). Sequencing was performed with Novaseq 6000 (Illumina). The immune cell phenotypes were compared to healthy controls processed in the same laboratory (accession number E-MTAB-11170). Due to data privacy concerns, the raw sequencing data is in the European Genome-Phenome Archive (EGA) under accession code [xxxx] and can be requested through the EGA Data Access Committee.