Predicting side effects from prostate cancer radiation using advanced computer models

Multi-cohort validation of machine learning radiogenomic models (ML-RGx) to predict late toxicity in prostate cancer

['FUNDING_R01'] · MEDICAL COLLEGE OF WISCONSIN · NIH-11112405

This project aims to develop a better way to predict which prostate cancer patients might experience side effects from radiation therapy, helping doctors personalize treatment plans.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorMEDICAL COLLEGE OF WISCONSIN (nih funded)
Locations1 site (MILWAUKEE, UNITED STATES)
Trial IDNIH-11112405 on ClinicalTrials.gov

What this research studies

Radiation therapy is a common and effective treatment for prostate cancer, but it can sometimes lead to uncomfortable side effects in the bladder and rectum, impacting a patient's quality of life. While radiation exposure plays a role, individual genetic differences also influence who develops these side effects. This research uses a new machine learning approach that combines information from many genetic markers and radiation dose details to create a 'radiogenomic' risk score. The goal is to identify patients at higher risk of side effects before they even begin radiation therapy, allowing for more tailored care.

Who could benefit from this research

Good fit: This research is relevant for men who have been treated with radiation therapy for prostate cancer or are considering it.

Not a fit: Patients who have not received or are not candidates for radiation therapy for prostate cancer would not directly benefit from this specific prediction model.

Why it matters

Potential benefit: If successful, this work could help doctors identify patients at high risk for radiation side effects, allowing for adjustments to treatment or closer monitoring to improve quality of life.

How similar studies have performed: Preliminary data from this research team suggests their new modeling approach performs better than existing methods and shows promise for clinical use.

Where this research is happening

MILWAUKEE, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.