Genitourinary Cancers

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A machine learning-based approach found that evaluating multiple biomarker features may identify outcomes and treatment resistance in renal cell carcinoma.
Machine Learning Approach May Predict Outcomes in RCC

June 4th 2025

A machine learning-based approach found that evaluating multiple biomarker features may identify outcomes and treatment resistance in renal cell carcinoma.

The addition of CAN-2409 to a prodrug and radiation therapy in intermediate-to-high-risk prostate cancer significantly improved cancer-specific outcomes.
CAN-2409/EBRT Improves Disease-Free Survival in Localized Prostate Cancer

June 3rd 2025

Efficacy and safety outcomes in the phase 3 CONTACT-03 study were consistent regardless of prior immunotherapy or tyrosine kinase inhibitor use.
Second-Line Cabozantinib Regimens Exhibit Efficacy in Advanced RCC

June 2nd 2025

Eight votes were cast against the favorability of talazoparib and enzalutamide in the first-line setting for patients with metastatic castration-resistant prostate cancer.
ODAC Votes 8-to-0 Against First-Line Talazoparib/Enzalutamide in mCRPC

May 21st 2025

Data from the LITESPARK-015 trial supported the FDA’s decision to approve belzutifan monotherapy in patients with advanced, unresectable, or metastatic PPGL.
FDA Approves Belzutifan in Adult/Pediatric Pheochromocytoma and Paraganglioma

May 14th 2025

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Imaging Prostate Cancer: Current and Future Applications

March 1st 2001

Various treatment options are available for adenocarcinoma of the prostate-the most common malignant neoplasm among men in the United States. To select an optimum management strategy, we must be able to identify an organ-confined disease (in which local therapy such as surgery or radiation may be beneficial) vs prostate cancer beyond the confines of the gland (for which other treatment approaches may be more appropriate). At present, no standard imaging modality can by itself reliably diagnose and/or stage adenocarcinoma of the prostate. Standard transrectal ultrasound, magnetic resonance imaging (MRI), computed tomography, bone scans, and plain x-ray are not sufficiently reliable when used alone. Fortunately, advances in imaging technology have led to the development of several promising modalities. These modalities include color and power Doppler ultrasonography, ultrasound contrast agents, intermittent and harmonic ultrasound imaging, MR contrast imaging, MRI with fat suppression, MRI spectroscopy, three-dimensional MRI spectroscopy, elastography, and radioimmunoscintigraphy. These newer imaging techniques appear to improve the yield of prostate cancer detection and staging, but are limited in availability and thus require further validation. This article reviews the status of current imaging modalities for prostate cancer and identifies emerging imaging technologies that may improve the diagnosis and staging of this disease. [ONCOLOGY 15(3):325-342, 2001]