New study aims to predict breast cancer risk using tissue samples
NCT ID NCT00291096
First seen Jun 27, 2026 ยท Last updated Jun 27, 2026
Summary
This study enrolls 3,000 women at high risk for breast cancer to develop a better way to predict who will get the disease. Researchers will take small samples of breast tissue and blood to build a risk algorithm. No treatment is given; the goal is to improve risk assessment and monitoring.
What this could mean
Our plain-language read of the trial. This is informational only โ not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a better way to predict which women are most likely to develop breast cancer, helping with earlier detection or prevention strategies.
- What could go wrong
- This is an observational study, not a treatment trial. The algorithm may not be accurate enough for widespread use, and results may take years to validate.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for BREAST CANCER are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
University of Kansas Medical Center
RECRUITINGKansas City, Kansas, 66160, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can a radioactive tracer pinpoint Cancer's first stop?
- Can a personalized exercise program boost recovery in cancer survivors?
- Smartwatch could spot nerve damage before it starts
- Could ionized gas help fight breast cancer after surgery?
- Radiation may let breast cancer patients keep their nipple
- Can a smart digital program restore sleep for cancer survivors?