Background: Nutrition and physical activity are associated with prostate cancer recurrence and mortality. Few randomized controlled trials (RCT) have examined the effects of long-term exercise and diet changes on prostate cancer clinical, biological, and patient-reported outcomes.
Methods: Prostate 8-II is a 4-arm RCT among 200 men with prostate cancer who chose radical prostatectomy (RP) as their primary treatment. Men are enrolled prior to RP and randomized to exercise-only, diet-only, exercise + diet, or usual care (50/arm). Participants begin their assigned intervention 0-5 weeks prior to RP and continue for 24-months following surgery. The 3 active intervention arms receive access to a web-portal and text messages, coaching calls, and other intervention resources (e.g., heart rate sensor and resistance bands and/or recipe booklet). Weekly exercise goals for the exercise intervention groups are 150 min moderate or 75 min vigorous aerobic exercise, 2 strength sessions, and 2 flexibility sessions. Diet intervention groups work with a dietitian to customize their goals (e.g., increase cruciferous vegetables, cooked tomatoes, healthy fats, fish; limit processed meats, whole milk). The primary endpoint is biochemical recurrence. Secondary endpoints include change in tumor biomarkers from biopsy to RP as well as patient-reported outcomes (e.g., quality-of-life), blood and urine biomarkers, and anthropometry at 0, 6, 12, and 24 months.
Conclusion: This 4-arm RCT will examine the impact of change in exercise and diet (alone or in combination) on prostate cancer recurrence, biology, and quality-of-life.
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http://dx.doi.org/10.1016/j.cct.2023.107079 | DOI Listing |
J Med Internet Res
January 2025
Cancer Rehabilitation and Survivorship, Department of Supportive Care, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Background: Virtual follow-up (VFU) has the potential to enhance cancer survivorship care. However, a greater understanding is needed of how VFU can be optimized.
Objective: This study aims to examine how, for whom, and in what contexts VFU works for cancer survivorship care.
PLoS One
January 2025
Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Epithelial cancers are typically heterogeneous with primary prostate cancer being a typical example of histological and genomic variation. Prior studies of primary prostate cancer tumour genetics revealed extensive inter and intra-patient genomic tumour heterogeneity. Recent advances in machine learning have enabled the inference of ground-truth genomic single-nucleotide and copy number variant status from transcript data.
View Article and Find Full Text PDFEndocr Relat Cancer
January 2025
S Dehm, Masonic Cancer Center, University of Minnesota, Minneapolis, United States.
Treatment for castration-resistant prostate cancer (CRPC) primarily involves the suppression of androgen receptor (AR) activity using androgen receptor signaling inhibitors (ARSIs). While ARSIs have extended patient survival, resistance inevitably develops. Mechanisms of resistance include genomic aberrations at the AR locus that reactivate AR signaling, or lineage plasticity that drives emergence of AR-independent phenotypes.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles.
Importance: The phase 3 randomized EMBARK trial evaluated enzalutamide with or without leuprolide in high-risk nonmetastatic hormone-sensitive prostate cancer. Eligibility relied on conventional imaging, which underdetects metastatic disease compared with prostate-specific membrane antigen-positron emission tomography (PSMA-PET).
Objective: To describe the staging information obtained by PSMA-PET/computed tomography (PSMA-PET/CT) in a patient cohort eligible for the EMBARK trial.
Int Urol Nephrol
January 2025
Faculty of Medical Sciences, Pharmacology and Toxicology Department, University of Kragujevac, Kragujevac, Serbia.
Purposes: Intermediate-risk prostate cancer (IR PCa) is the most common risk group for localized prostate cancer. This study aimed to develop a machine learning (ML) model that utilizes biopsy predictors to estimate the probability of IR PCa and assess its performance compared to the traditional clinical model.
Methods: Between January 2017 and December 2022, patients with prostate-specific antigen (PSA) values of ≤ 20 ng/mL underwent transrectal ultrasonography-guided prostate biopsies.
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