Project description:Fusion-negative rhabdomyosarcoma (FN-RMS) is the most common soft tissue sarcoma of childhood arising from undifferentiated skeletal muscle cells. Tumor cells derived from genetically engineered murine models are a valid tool to study cancer biology. In order to investigate the poor myogenic commitment of FN-RMS, we performed RNA sequencing of two cell lines derived from a previously described genetically engineered murine model of FN-RMS. We then performed bioinformatics analysis to compare the transcriptome with murine satellite cells, and identify the key factors that distinguish FN-RMS from skeletal muscle cells.
Project description:Genome-wide gene expression in 33 fusion-positive and 25 fusion-negative rhabdomyosarcoma cases was studied using GeneChip Human Genome U133 Plus2 (Affymetrix) Fusion-positive versus fusion-negative rhabdomyosarcoma tumors
Project description:Genome-wide gene expression in 33 fusion-positive and 25 fusion-negative rhabdomyosarcoma cases was studied using GeneChip Human Genome U133 Plus2 (Affymetrix)
Project description:Genome wide DNA methylation profiling of rhabdomuyosarcoma tumors derived from genetically engineered mouse models. The Illumina MouseMethylation285 BeadChip was used to obtain DNA methylation profiles across approximately 285,000 methylation sites in 31 freshly-frozen rhabdomyosarcoma tumors.
Project description:To date, there are no known prognostic markers identified in patients with fusion gene-negative rhabdomyosarcoma. This study validates the 5-gene (MG5) signature as a prognostic marker in patients with fusion negative intermediate-risk rhabdomyosarcoma clearly stratifying this otherwise clinically homogenous population of patients into two risk groups based on outcome. In addition, this analysis was performed using nCounter assay on paraffin embedded tissues and the results were concordant to previously published results using frozen tissues in a different patient cohort. Therefore, this work holds tremendous translational relevance as the MG5 signature can be reliably assessed in readily available paraffin embedded tissues of fusion gene-negative rhabdomyosarcoma patients in prospective clinical trials to stratify them into prognostic risk groups as well as to potentially tailor future therapy based on these risk groups.
Project description:We analyzed the expression of two fusion-negative established Rhabdomyosarcoma cell lines. Together with Chip-seq, we were able to identify transcribed loci bound by myogenic regulatory transcription factors (MYF5 and MYOD) that pertain to embryonic muscle development and cell cycle regulation pathways. Keywords: rhabdomyosarcoma, gene expression profiling, RD, Rh18