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A Novel Gene Signature-Based Model Predicts Biochemical Recurrence-Free Survival in Prostate Cancer Patients after Radical Prostatectomy
Currently, decision-making regarding biochemical recurrence (BCR) following prostatectomy relies solely on clinical parameters. We therefore attempted to develop an integrated prediction model based on a molecular signature and clinicopathological features, in order to forecast the risk for BCR and...
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| Publié dans: | Cancers (Basel) |
|---|---|
| Auteurs principaux: | , , , , , , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7017310/ https://ncbi.nlm.nih.gov/pubmed/31861273 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers12010001 |
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