Prostate Cancer UK Professionals

@prostateukprofs.bsky.social

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Here we share news and views from @ProstateCancerUK for our growing professional community who have an interest in prostate disease 🧑‍🔬⤵️

A middle-aged black man receiving comforting support from a younger relative while they consult a nurse and a doctor in a clinic, holding a health leaflet and discussing his care.
Call for organisations serving Black communities to apply for Prostate Cancer UK community grants to fund awareness, events, culturally tailored engagement and early-diagnosis outreach; grants £500–£5,000 (larger £5,000–£10,000); applications 1–31 Jul 2026; shows smiling Black men.
Man sitting on a couch in a living room reading an online course titled "Prostate Cancer Essentials: Part 2 – Diagnosing And Staging" on a laptop, suggesting he’s studying health information at home.
Man on the phone, holding a mug.
Dr Alan McWilliam quote: This research could help make radiotherapy treatment more personalised by identifying those at risk of their cancer returning, while reducing side effects and improving quality of life.
Picture shows different colour pill/medicine packets
Professor Val Macaulay quote: We hope our research will help uncover how IGF-1 drives prostate cancer growth and provide evidence that early cancers can be stopped from progressing.
Scientific Paper published in Nature Cancer, titled: Combined ctDNA and serum PSA for dynamic monitoring of metastatic prostate cancer starting first-line treatment: a prospective national cohort study. Written by Jayaram et al.
Scientific Paper published in The Lancet Oncology, titled: On-treatment serum prostate-specific antigen and overall survival in prostate cancer (STAMPEDE platform protocol): a post-hoc analysis of data from five phase 3 trials. Written by Kayani et al.
Scientific Paper titled: The PACE Trials: A Decade of Progress and the Lessons Learned. Written by van As et al.
Graphic with a man icon holding a sign reading 'Research We Fund' on the left hand side, a portrait photo of Professor Simon Mackay in the top right corner, and a quote from Simon reading 'Thanks to the funding from Prostate Cancer UK, we have brought this treatment one step closer to clinical trials. After all this time, I'd be over the moon if I could make that difference to men affected by prostate cancer'.
Prostate Cancer UK TRANSFORM
Graphic of a recently published research article, titled 'Predicting high-dose-rate brachytherapy boost benefit using hypoxia and angiogenesis gene expression in localised prostate cancer' by Lodhi et al.
Graphic of a newly published research article published in The Journal of Clinical Investigation titled 'Splicing factor TRA2B enhances synthesis of androgen receptor variant AR-V7 in prostate cancer cells' by Brittain et al.
Two medical monitors display MRI scans. The left screen shows a grid of four different cross-sectional images of internal body parts. The right screen focuses on one larger, detailed MRI scan.
Scientific Paper published in The Journal of Clinical Investigation, titled: Androgen receptor splice variant 7 expression levels distinguish AR-mutated from nonmutated metastatic castration-resistant prostate cancers. Written by Paschalis et al.
Are you a health professional who treats people with prostate cancer in the UK? Your views will help us understand what influences how people with metastatic hormone-sensitive prostate cancer are treated. We are interested in the perspectives of healthcare professionals such as medical and clinical oncologists, urologists, and prostate cancer nurse specialists. Help us improve communication and treatment for prostate cancer. Participation includes: a 30-60 minute online interview via Microsoft Teams, no prior knowledge required, no payment offered. Scan the QR code or visit the provided link to take part. Contact Annabelle South for more information. Sponsored by the STAMPEDE trial, coordinated by MRC Clinical Trials Unit at UCL.
Scientific Paper published in European Journal of Radiology Artificial Intelligence titled: In prostate cancer diagnosis, a deep learning model shows increased susceptibility to MRI quality variations compared to radiologists. Written by Pooch et al.
This is a medical scan image showing a cross-sectional view of a human torso. The scan highlights internal organs with varying colours to indicate different tissues or activity levels.
Three people are standing together in a room, holding and examining documents. They appear to be in a discussion or collaborative setting, possibly in a professional or medical environment.