Article
Evaluation of Post Robotic Prostatectomy Genomic Analysis for Predicting Prostate Cancer Specific Mortality
2025-07-23
Abstract excerpt
<title>Abstract</title> <p>OBJECTIVES: Decipher genomic classification (DGC) has been developed to predict disease severity in prostate cancer. This study seeks to evaluate how well individual genes within the DGC predict the clinical outcome of post-prostatectomy disease-specific mortality (DSM). MATERIALS AND METHODS: Proportional hazards regression analyses were used to evaluate 9 genomic group signatures and...
Topics
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- Cancer Genomics and Diagnostics
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Ferroptosis and cancer prognosis
- Hepatocellular Carcinoma Treatment and Prognosis
- Molecular Biology Techniques and Applications
- PARP inhibition in cancer therapy
- Prostate Cancer Treatment and Research
Identifiers and source
- Literature Corpus work
- 60eb2604-9a20-58f7-be1f-08bb44087b1c
- DOI
- 10.21203/rs.3.rs-7143025/v1
