← BioTransfer GEO Dataset Finder
GEO series

Classification of pediatric soft and bone sarcomas using DNA methylation-based profiling

GSE275159 Homo sapiens Expression profiling by high throughput sequencing 14 samples 2024/11/05 GPL34281GPL21697
Summary
Pediatric sarcomas present heterogeneous morphology, genetics and clinical behavior posing a challenge for an accurate diagnosis. DNA methylation is an epigenetic modification that coordinates chromatin structure and regulates gene expression, determining cell type and function. DNA methylation-based tumor profiling classifier for sarcomas (known as sarcoma classifier) from the German Cancer Research Center (Deutsches Krebsforschungszentrum) was applied to 122 pediatric sarcomas referred to a reference pediatric oncology hospital. The classifiers reported 88.5% of agreement between histopathological and molecular classification confirming the initial diagnosis of all osteosarcomas and Ewing sarcomas. Transcriptome raw data quality was verified with FASTQC. We used STAR-fusion to identify and annotate fusion transcripts based on discordant read alignments with default configurations. ChimeraViz was used to plot fusion-genes.
Download
NCBI GEO page ↗ Paper (PMID 39567898) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.