NIH-funded research R01 grant

Using DNA fragments to predict treatment outcomes in advanced prostate cancer

Official title: Cell-free DNA fragmentomics as prognostic and treatment resistance biomarkers in metastatic castration-resistant prostate cancer

Funded at University of Wisconsin-Madison · NIH-11026219 · Data updated 2026-11-12

This study is looking at how tiny pieces of cancer DNA in your blood can help doctors keep track of your metastatic castration-resistant prostate cancer and predict if your treatment might stop working, so they can make better choices for your care.

More Prostate Cancer research and trials

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of Wisconsin-Madison
NIH-funded
Lab location1 site (Madison, United States)
Project startJanuary 1, 2025
Project endDecember 31, 2030
Funding year2025
Award (this year)$680,453
NIH project number1R01CA296602-01
Project IDNIH-11026219 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are men diagnosed with metastatic castration-resistant prostate cancer who are undergoing treatment.

Less likely to help

Patients with early-stage prostate cancer or those who are not resistant to androgen signaling inhibitors may not benefit from this research.

What this research studies

This research investigates how fragments of circulating tumor DNA (ctDNA) can be used to monitor and predict treatment resistance in metastatic castration-resistant prostate cancer (mCRPC). By employing a liquid biopsy approach combined with machine learning, the study aims to identify molecular changes that indicate shifts in cancer type and treatment response. This method seeks to improve upon current monitoring techniques, which often fail to capture the underlying mechanisms of resistance. Patients will be monitored over time to assess how their cancer evolves and to help guide more effective treatment decisions.

Why it matters

Potential benefit: If successful, this research could lead to more personalized and effective treatment strategies for patients with advanced prostate cancer.

How similar studies have gone: Previous research has shown promise in using ctDNA and machine learning for monitoring cancer progression, indicating that this approach could be a significant advancement in the field.

Where this research is happening

  • University of Wisconsin-Madison
    Madison, United States
    Active

Researchers

  • Principal investigator: Zhao, Shuang — University of Wisconsin-Madison
  • Study coordinator: Zhao, Shuang

Related research

Other NIH-funded projects on the same topics.

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.
Last reviewed 2026-11-14 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.