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Ena-DATASET-DKFZ-IBIOS-18-05-2016-08:44:36:254-32 - samples

ABSTRACT: ChIPseq data of Atypical teratoid/rhabdoid tumors (ATRT)

PROVIDER: EGAD00001002135 | EGA |

REPOSITORIES: EGA

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DNA methylation data from 153 ATRT tumor samples

Project description:Clinical and molecular risk factors were analyzed in a large cohort of patients with Atypical Teratoid Rhabdoid Tumors (ATRT) recruited to the European Rhabdoid Regsitry (EU-RHAB) and data were validated in a second independent cohort of ATRT patients.

2020-01-31 | GSE141039 | GEO

DNA methylation data from 13 ATRT tumor samples

Project description:The samples deposited here are part of the ATRT consensus cohort as published in Ho et al. ("Molecular subgrouping of Atypical Teratoid/Rhabdoid Tumors (ATRT) - a reinvestigation and current consensus") and have so far not been included in any publication.

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Project description:WGBS data of Atypical teratoid/rhabdoid tumors (ATRT)

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Project description:RNA sequencing data of Atypical teratoid/rhabdoid tumors (ATRT)

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ena-DATASET-DKFZ-IBIOS-28-06-2017-10:28:45:886-518 - samples

Project description:Chip-Seq sequencing data of Atypical teratoid/rhabdoid tumors (ATRT)

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Mouse Smarcb1-deficient models recapitulate subtypes of human rhabdoid tumors.

Project description:Rhabdoid Tumors (RT) are highly aggressive tumors that are frequently localized in the central nervous system (CNS) where they are termed atypical teratoid and rhabdoid tumors (ATRT). We generated conditional Smarcb1-deficient mouse model leads to CNS Smarcb1-deficient tumors. We used microarrays to compared gene expression profilings of various human and mouse tumors. Our data demonstrate that the Smarcb1-deficient mouse model recapitulates the diversity of human RT.

2016-01-27 | GSE64019 | GEO

Macrophage-Tumor Cell Interaction Promotes ATRT Progression and Chemoresistance (NODSCID)

Project description:Atypical teratoid/rhabdoid tumors (ATRT) are known for their heterogeneity concerning pathophysiology and outcome. However, predictive factors within distinct subgroups still need to be uncovered. Using multiplex immunofluorescent staining and singe-cell RNA sequencing we unraveled distinct compositions of the immunological tumor microenvironment (TME) across ATRT subgroups. CD68+ cells predominantly infiltrate ATRT-SHH and ATRT-MYC and are a negative prognostic factor for patients’ survival. Within the murine ATRT-MYC and ATRT-SHH TME, Cd68+ macrophages are core to intercellular communication with tumor cells. In ATRT-MYC distinct tumor cell phenotypes express macrophage marker genes. These cells are involved in the acquisition of chemotherapy resistance in our relapse xenograft mouse model. In conclusion, the tumor cell-macrophage interaction contributes to ATRT-MYC heterogeneity and tumor recurrence.

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Macrophage-Tumor Cell Interaction Promotes ATRT Progression and Chemoresistance (GEMM)

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Gene expression data from ATRT tumor samples

Project description:Atypical teratoid/rhabdoid tumor (ATRT) is one of the most common brain tumors in infants. Although the prognosis of ATRT patients is poor, some patients respond favorably to current treatments, suggesting molecular inter-tumor heterogeneity. To investigate this further, we genetically and epigenetically analyzed a large series of human ATRTs. Three distinct molecular subgroups of ATRTs, associated with differences in demographics, tumor location, and type of SMARCB1 alterations, were identified. Whole-genome DNA and RNA sequencing found no recurrent mutations in addition to SMARCB1 that would explain the differences between subgroups. Whole-genome bisulfite sequencing and H3K27Ac chromatin-immunoprecipitation sequencing of primary tumors, however, revealed clear differences, leading to the identification of subgroup-specific regulatory networks and potential therapeutic targets. 49 ATRT samples were selected for RNA extraction and hybridization on Affymetrix Affymetrix Human Genome U133 Plus 2.0 Arrays. ---------------------------------------- This submission consists of the expression data for 49 of 170 samples only

2016-03-02 | E-GEOD-70678 | biostudies-arrayexpress

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