Data for Transcriptomic-based classification identifies prognostic subtypes and therapeutic strategies in soft tissue sarcomas

Data Sources and DescriptionsThis study integrates transcriptomic and clinical data from three main sources to classify prognostic subtypes and identify therapeutic strategies in soft tissue sarcomas (STS):1. TCGA-SARC CohortSource: Genomic Data Commons (GDC) PortalContent: RNA-Seq gene expression data and associated clinical information from The Cancer Genome Atlas Sarcoma Project (TCGA-SARC).Purpose: Serves as an external validation cohort for subtype comparisons, differential expression, and survival analyses.2. CINSARC DatasetSource: Code Ocean CapsuleContent: Gene expression and clinical data from the original CINSARC study, including risk classification.Purpose: Used to validate prognostic gene signatures and assess cross-cohort subtype reproducibility.3. Study Cohort (22-2290 F1RNA and F1CDx)This dataset includes transcriptomic and clinical data from an in-house cohort of 82 soft tissue sarcoma patients.Files and Descriptions:22-2290 Roche RNA GEP-COUNTS 01MAY2023.txtContent: Raw gene expression counts obtained using the FoundationOne RNA (F1RNA) panel.OSPL_n=82_F1CDXRNA-RMC-RET-22-2290_SG44174_21FEB2023145617Content: Data generated using the FoundationOne CDx (F1CDx) kit.Base de dados Clinica_update.csvContent: Updated clinical annotations for the patient study cohort, including histology, treatment, and outcome data.Sarculator_Results.xlsxContent: Prognostic predictions for each sample computed using the Sarculator tool (https://www.sarculator.com/).