NIH-funded research R01 grant

Blood test to track treatment resistance 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-11249567 · Data updated 2026-11-12

This project uses a blood-based DNA fragment test plus AI to spot molecular changes that signal treatment resistance in men with metastatic castration-resistant prostate cancer.

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, 2029
Funding year2026
Award (this year)$624,431
NIH project number5R01CA296602-02
Project IDNIH-11249567 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates are men with metastatic castration‑resistant prostate cancer who are receiving or changing androgen-signaling inhibitor therapy and can provide regular blood samples and follow-up.

Less likely to help

Men with localized prostate cancer or those whose tumors do not release detectable circulating tumor DNA are unlikely to benefit directly from this approach.

What this research studies

If you have metastatic castration‑resistant prostate cancer, this project uses routine blood draws to look at tiny fragments of tumor DNA floating in your bloodstream. Researchers analyze patterns of those DNA fragments on standard cancer gene panels and apply machine learning to detect molecular shifts—like changes in the androgen receptor or a switch to neuroendocrine behavior—that can make therapies stop working. The approach is repeated over time in patients enrolled in prospective trials so clinicians can spot resistance earlier than with PSA or imaging alone. The goal is a low-cost, widely available liquid biopsy that could help guide which therapy to try next.

Why it matters

Potential benefit: It could detect treatment resistance earlier and help doctors choose more effective next treatments.

How similar studies have gone: Prior studies using circulating tumor DNA and fragment patterns with machine learning have shown promise for cancer monitoring, but applying fragmentomics specifically to predict ARSI resistance and neuroendocrine shifts in mCRPC is a relatively new approach.

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.