Single-cell transcriptome analysis indicated that immune-related programmed cell death modification features could predict the clinical outcomes of patients with ovarian cancer

Key Points

• The study aims to develop a prognostic model that predicts clinical outcomes in ovarian cancer using immune-related modifications.
• Developed a prognostic model named IPCDS.
• Conducted single-cell transcriptome analysis.
• Analyzed the role of PDGFRA as a prognostic factor.
• The IPCDS model effectively predicts survival outcomes.
• PDGFRA is identified as a significant prognosis factor in ovarian cancer patients.

Abstract