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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Detalles Bibliográficos
Autores principales: Wardale, Lewis, Cardenas, Ryan, Gnanapragasam, Vincent J., Cooper, Colin S., Clark, Jeremy, Brewer, Daniel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857957/
https://www.ncbi.nlm.nih.gov/pubmed/36661662
http://dx.doi.org/10.3390/curroncol30010013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857957/
https://www.ncbi.nlm.nih.gov/pubmed/36661662
http://dx.doi.org/10.3390/curroncol30010013

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