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Gene Expression Profiling of Surgically Resectable Soft-Tissue Sarcomas

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP441106
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For the current study we performed whole genome expression profiling on 69 unique patients with soft-tissue sarcoma who underwent curative-intent surgical resection to identify prognostic gene signatures. Specimens were obtained from the Mayo Clinic Florida STS Biobank and RNA was sequenced using the Tempus xT RNA-seq protocol. This protocol uses transcriptome-capture via more than 415,000 IDT xGen probes spanning greater than 19,000 genes, with at least 50?ng of extracted RNA required before proceeding to library preparation and a minimum depth of 30 million reads a on a NovaSeq 6000. RNA-seq data was analyzed using the MAP-RSeq pipeline developed by Mayo Clinic Bioinformatics Shared Resource. Overall design: 69 samples obtained from the Mayo Clinic Florida STS Biobank were acquired from patients with soft-tissue sarcoma who underwent curative-intent surgical resection. Gene expression was compared with disease-free and overall survival to identify prognostic gene signatures.
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2024-10-30
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