Molecular imaging and biochemical response assessment after a single cycle of [225Ac]Ac-PSMA-617/[177Lu]Lu-PSMA-617 tandem therapy in mCRPC patients who have progressed on [177Lu]Lu-PSMA-617 monotherapy.

Rationale: Despite the promising results of prostate-specific membrane antigen (PSMA)-targeted 177Lu radioligand therapy in metastatic castration-resistant prostate carcinoma (mCRPC), some patients do not respond and other patients with initially good response develop resistance to this treatment.

Comparison of robot-assisted partial nephrectomy for complex (RENAL scores ≥10) and non-complex renal tumors: A single-center experience.

To compare functional and surgical outcomes of robot-assisted partial nephrectomy for complex tumors with RENAL scores ≥10 and non-complex tumors at a single academic institution. We retrospectively analyzed the data of all patients who underwent robot-assisted partial nephrectomy at Kobe University Hospital (Kobe, Hyogo, Japan) from 2011 to 2020.

A Phase I, Open-Label, Dose-Finding Study of GSK2636771, a PI3Kβ inhibitor, Administered with Enzalutamide in Patients with Metastatic Castration-Resistant Prostate Cancer.

In patients with metastatic castration-resistant prostate cancer (mCRPC), resistance to androgen receptor (AR) targeted therapies, such as enzalutamide, remains an issue. Inactivation of inhibitory phosphatase and tensin homolog (PTEN) activates phosphoinositide 3-kinase (PI3K)/AKT signaling and contributes to resistance to androgen-deprivation therapy and poor outcomes.

Real-World Treatment Patterns and Overall Survival of Patients with Metastatic Castration-Resistant Prostate Cancer in the US Prior to PARP Inhibitors.

Therapeutic options for metastatic castration-resistant prostate cancer (mCRPC) patients are continuously advancing. We described mCRPC treatment patterns in the US from 2013 to 2019. Patients with a confirmed mCRPC diagnosis and adenocarcinoma histology were included in the US Flatiron Health Electronic Health Record-derived de-identified database.

Artificial Intelligence Compared to Radiologists for the Initial Diagnosis of Prostate Cancer on Magnetic Resonance Imaging: A Systematic Review and Recommendations for Future Studies.

Computer-aided diagnosis (CAD) of prostate cancer on multiparametric magnetic resonance imaging (mpMRI), using artificial intelligence (AI), may reduce missed cancers and unnecessary biopsies, increase inter-observer agreement between radiologists, and alleviate pressures caused by rising case incidence and a shortage of specialist radiologists to read prostate mpMRI.

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