A newly developed long-term prediction model demonstrated greater accuracy in estimating prostate cancer–specific mortality compared with existing risk assessment tools. Unlike traditional ...

A novel long-term prediction model showed promise at estimating the risk for dying of prostate cancer, an analysis published in Annals of Internal Medicine indicated.“We have developed a tool that can ...

In this cohort study, a novel prognostic model was developed to estimate prostate cancer-specific mortality (PCSM) while ...

A new long-term prediction tool estimates the risk of dying from prostate cancer, offering a more accurate way to interpret ...

A new study published in Nature Communications provides a framework for researching whether earlier, model-guided treatment intensification can meaningfully improve survival for patients with ...

Prostate cancer is the second-leading cause of cancer death in American men. About 1 in 8 men will be diagnosed with prostate cancer in their lifetime, and the risk varies depending on age and race.

Investigators designed and externally validated a prostate cancer death prediction model for risk stratification of men at the point of PSA screening.

Model was developed from the prostate cancer screening group of the PLCO and validated externally in a VA population ...

University Hospitals Seidman Cancer Center researchers have developed a tool that could identify metastatic prostate cancer ...

To help meet the potentially complex needs of patients after prostate cancer treatment and offer the precision and care ...

Findings show that Telomir-1 restores the body's natural tumor suppressor defenses by reversing abnormal DNA methylation of MASPIN and RASSF1A - genes that help block invasion, limit metastasis, and ...