Development of a multivariable risk model integrating urinary cell DNA methylation and cell‐free RNA data for the detection of significant prostate cancer

BACKGROUND: Prostate cancer exhibits severe clinical heterogeneity and there is a critical need for clinically implementable tools able to precisely and noninvasively identify patients that can either be safely removed from treatment pathways or those requiring further follow up. Our objectives were...

Descripción completa

Detalles Bibliográficos
Autores principales: Connell, Shea P., O'Reilly, Eve, Tuzova, Alexandra, Webb, Martyn, Hurst, Rachel, Mills , Robert, Zhao, Fang, Bapat, Bharati, Cooper, Colin S., Perry, Antoinette S., Clark, Jeremy, Brewer, Daniel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383590/
https://www.ncbi.nlm.nih.gov/pubmed/32153047
http://dx.doi.org/10.1002/pros.23968

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383590/
https://www.ncbi.nlm.nih.gov/pubmed/32153047
http://dx.doi.org/10.1002/pros.23968

Ejemplares similares