Combining Molecular Subtypes with Multivariable Clinical Models Has the Potential to Improve Prediction of Treatment Outcomes in Prostate Cancer at Diagnosis

Combining Molecular Subtypes with Multivariable Clinical Models Has the Potential to Improve Prediction of Treatment Outcomes in Prostate Cancer at Diagnosis

Clinical management of prostate cancer is challenging because of its highly variable natural history and so there is a need for improved predictors of outcome in non-metastatic men at the time of diagnosis. In this study we calculated the model score from the leading clinical multivariable model, PR...

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Bibliographic Details
Main Authors: Lewis Wardale, Ryan Cardenas, Vincent J. Gnanapragasam, Colin S. Cooper, Jeremy Clark, Daniel S. Brewer
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Current Oncology
Subjects:
prostate cancer
clinical models
predictive models
molecular subtypes
transcriptome
expression
Online Access:https://www.mdpi.com/1718-7729/30/1/13

Internet

https://www.mdpi.com/1718-7729/30/1/13

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