2024
DOI: 10.1186/s13048-024-01419-y
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A novel defined programmed cell death related gene signature for predicting the prognosis of serous ovarian cancer

Feng Zhan,
Yina Guo,
Lidan He

Abstract: Purpose This study aims to explore the contribution of differentially expressed programmed cell death genes (DEPCDGs) to the heterogeneity of serous ovarian cancer (SOC) through single-cell RNA sequencing (scRNA-seq) and assess their potential as predictors for clinical prognosis. Methods SOC scRNA-seq data were extracted from the Gene Expression Omnibus database, and the principal component analysis was used for cell clustering. Bulk RNA-seq data … Show more

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