New findings could change treatment practice and lengthen survival for men with pN1 prostate cancer

Men with microscopic evidence of prostate cancer spreading to their pelvic lymph nodes (LNs) following the surgical resection of the prostate and pelvic lymph nodes (LN) are at a very high risk of dying from prostate cancer. Pelvic LN radiation therapy (RT) is a potentially curative treatment. However, no randomized clinical trials have been conducted in men with pN1 prostate cancer to evaluate whether survival is prolonged when giving pelvic LN RT when the post-operative prostate-specific antigen level is undetectable (i.e., adjuvant) versus the current standard of care, which involves waiting until the PSA becomes detectable (i.e., early salvage).

Researchers at the Brigham sought to understand whether adjuvant, compared to early salvage, RT could reduce mortality. The team studied a cohort of 17,913 men, median age of 64 years, and consecutively treated between 1995 and 2017 with radical prostatectomy and pelvic LN assessment and then followed for possible treatment with adjuvant RT or early salvage RT. The authors found that adjuvant compared to early salvage RT in men with pelvic node positive prostate cancer was associated with a decreased risk of death, and this reduction increased by 8 percent for each additional positive pelvic LN found at surgery.

The lack of randomized trial data and the high risk of death from prostate cancer in this patient population compelled us to conduct this study and explore the findings. We are excited for men with node positive prostate cancer because our results have the potential to change practice and lengthen their survival."

Anthony D'Amico, MD, PhD, Senior Author, Department of Radiation Oncology, Brigham and Women's Hospital

Source:
Journal reference:

Tilki, D., et al. (2022) Adjuvant Versus Early Salvage Radiation Therapy After Radical Prostatectomy for pN1 Prostate Cancer and the Risk of Death. Journal of Clinical Oncology. doi.org/10.1200/JCO.21.02800.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
How AI is advancing mammographic density-based breast cancer risk prediction