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

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

PROVIDER: PRJNA593826 | ENA |

REPOSITORIES: ENA

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

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.

2020-05-14 | GSE141532 | GEO

Macrophage-Tumor Cell Interaction Promotes ATRT Progression and Chemoresistance

Project description:Macrophage-Tumor Cell Interaction Promotes ATRT Progression and Chemoresistance

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

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

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

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Macrophage-Tumor Cell Interaction Promotes ATRT Progression and Chemoresistance

Project description:This SuperSeries is composed of the SubSeries listed below.

2020-05-14 | GSE141534 | GEO

AMBRA1 interactome in ATRT cellular Model

Project description:AMBRA1 interaction mapping in ATRT cellular model to identify potential interaction partners. BT12, BT16, CHLA06 and CHLA266 were used as cellular model. following AP data were analyzed using DIA-NN and interactions were scored against empty FLAG results.

2023-10-10 | PXD043369 | Pride

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

GEMM CRC collection analysis

Project description:A collection of genetically engineered mouse models (GEMM) of colorectal cancer (CRC) were created, and primary tumors from these GEMMs were analyzed. Primary CRC tumors from these GEMMs were genotyped to confirm that they contain the core genetic lesions of interest, including APC, P53, KRAS, and BRAF. Primary tumors from GEMMs with combinations of lesions of interest were analyzed by whole genome expression, and their expression profiles were compared to determine how they segregate. Signatures were then generated from GEMM tumors of interest and compared to human clinical datasets with expression and outcome data. Primary tumors from CRC GEMMs with different combinations of mutant alleles of interested were generated and analyzed. Alleles include mutant forms of APC (A), P53 (P), KRAS (K) and BRAF (B).

2014-07-01 | E-GEOD-50794 | biostudies-arrayexpress

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.

2020-01-31 | GSE141363 | GEO

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