Predicting glioblastoma recurrence for personalized radiotherapy

Advanced prediction of GBM recurrence (TIME) for personalized radiotherapy

['FUNDING_R21'] · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · NIH-10679035

This study is looking at a type of brain cancer called glioblastoma and aims to create a tool that can predict when the cancer might come back a few months before it shows up on scans, helping doctors give better and safer radiation treatment to improve patients' chances of living longer.

Quick facts

Phase['FUNDING_R21']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF CALIFORNIA, SAN FRANCISCO (nih funded)
Locations1 site (SAN FRANCISCO, UNITED STATES)
Trial IDNIH-10679035 on ClinicalTrials.gov

What this research studies

This research focuses on glioblastoma multiforme (GBM), a common and aggressive brain cancer in adults. It aims to develop a predictive algorithm that can identify potential tumor recurrences 2-3 months before they are visible on standard imaging. By understanding the patterns of GBM cell migration, the study seeks to optimize radiotherapy treatment plans, allowing for more targeted and effective radiation doses while minimizing damage to surrounding healthy tissue. This personalized approach could improve patient outcomes and extend survival.

Who could benefit from this research

Good fit: Ideal candidates for this research are adults diagnosed with glioblastoma multiforme who are undergoing treatment.

Not a fit: Patients with other types of brain tumors or those who are not currently receiving treatment for glioblastoma may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more effective radiotherapy treatments for glioblastoma patients, potentially improving survival rates.

How similar studies have performed: Previous research has shown promise in using predictive algorithms for cancer treatment, suggesting that this approach could be effective for glioblastoma as well.

Where this research is happening

SAN FRANCISCO, 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 →

Conditions: Cancers

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.