Computer algorithm could unlock hidden treatments for aggressive breast cancer
NCT ID NCT07067138
First seen Sep 30, 2025 · Last updated Jun 22, 2026 · Updated 44 times
Summary
This study tests whether a computer algorithm called ENLIGHT can help find better drug matches for people with advanced breast cancer that has stopped responding to standard treatments. About 175 adults with triple-negative or hormone-resistant breast cancer will have their tumor tissue analyzed by the algorithm. If the algorithm suggests a drug that is already approved for another use, participants may receive that drug at the NIH. The goal is to see if this approach is feasible and can lead to tumor shrinkage.
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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National Institutes of Health Clinical Center
Bethesda, Maryland, 20892, United States
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
ENLIGHT algorithm (computational tool)
What this could lead to
If successful, this could show that a computer algorithm can help doctors choose more effective, already-approved drugs for hard-to-treat breast cancers.
What could go wrong
This is an early exploratory study, currently suspended, with no guarantee that the algorithm's recommendations will actually improve outcomes. The approach is untested in this setting.
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.