Construction of a mitochondria genes-based model for prognosis prediction, drug guidance and immune feature analysis in ovarian serous cystadenocarcinoma
Abstract:Background
Ovarian serous cystadenocarcinoma (OSC) is the most common pathological subtype of ovarian cancer (OC) associated with high mortality. Albeit dysregulated mitochondrial metabolism has been implicated with OC, the role of mitochondrial genes in OSC remains unclear. We sought to construct a model based on mitochondrial genes for prognosis prediction, drug guidance and immune feature analysis of OSC.
Methods
Differentially expressed genes (DEGs) and mitochondrial-related DEGs (MRGs) were identified t… Show more
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