Using PSA Doubling Time to Predict Metastatic Prostate Cancer

Video

Nancy Dawson, MD, discusses PSA dynamics: the significance of PSA levels and PSA doubling time-the marker which currently provides the most information-and their usefulness in predicting metastatic disease and in counseling patients on their prognosis.

Nancy Dawson, MD, discusses PSA dynamics: the significance of PSA levels and PSA doubling time-the marker which currently provides the most information-and their usefulness in predicting metastatic disease and in counseling patients on their prognosis.

Recent Videos
Findings from David Rimm, MD, PhD, suggest that there may be an inverse relationship between HER2 and TROP2 expression among patients with breast cancer.
Tissue samples collected from patients with breast cancer during treatment may help explore therapy selection and predict toxicities.
The mechanism of CTO1681 may allow it to reduce the production of a broad range of proinflammatory cytokines in DLBCL.
Younger and fitter patients with relapsed/refractory multiple myeloma were more likely to receive bispecific antibodies in community oncology settings.
Mechanistic treatment benefits were observed in the phase 2 STEM trial for patients with multiple myeloma.
Data from a retrospective cohort study showed that one-fifth of patients with multiple myeloma received bispecific antibodies in rural community settings.
Being able to treat patients with cevostamab who have multiple myeloma after 1 to 3 prior lines of therapy vs 4 lines may allow for better outcomes.
Using the monitoring of symptoms and quality of life platform may provide a quick and efficient system for patients to submit outcome data.
Although a greater risk of CNS relapse may emerge with immunotherapy-based backbones, toxicities associated with chemotherapy are avoided.
Related Content