Blood, urine, and stool may hold the key to predicting a serious side effect of lung cancer treatment
NCT ID NCT07742800
First seen Aug 03, 2026 · Last updated Aug 04, 2026 · Updated 1 time
Summary
This study is looking at whether analyzing blood, urine, and stool samples can help predict which lung cancer patients are more likely to develop radiation pneumonitis—a type of lung inflammation—after receiving immunotherapy and radiation therapy. The researchers will collect samples from 160 patients before they start radiation and use advanced analysis to look for patterns that might indicate higher risk. The goal is to create a model that could help doctors personalize treatment and reduce this side effect.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- No therapeutic intervention; observational study collecting blood, urine, and stool samples for multi-omics analysis
- What this could lead to
- If successful, this could lead to a predictive test that helps doctors identify lung cancer patients at higher risk of radiation pneumonitis before starting radiotherapy, enabling personalized treatment plans.
- What could go wrong
- The study is observational and relatively small, so the predictive model may not be accurate enough for widespread use. Also, it focuses on a specific patient group, so results may not apply to all lung cancer patients.
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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
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Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, 430079, China
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