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
Our study develops a novel prognostic model IPCDS for OV. IPCD-related gene PDGFRA serves as a prognosis factor play in predicting survival outcomes of OVs.
Single-cell transcriptome analysis indicated that immune-related programmed cell death modification features could predict the clinical outcomes of patients with ovarian cancer | Synapse