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Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas

11 Jul 2024

Abstract excerpt

PURPOSE: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). MATERIALS AND METHODS: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning...

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Share to Endometrial and Cervical Cancer Treatments
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PMID: 38993092
DOI: 10.4143/crt.2024.343

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