Plain-English translation of NCT07388771 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are building a computer model that uses different types of patient information—like imaging scans, blood tests, and treatment response data—to predict how well pre-surgery chemotherapy and immunotherapy will work for people with non-small cell lung cancer. The goal is to create a tool that doctors can use to forecast which patients will benefit most from this treatment approach before surgery. This is an observational study, meaning researchers will track your existing medical information rather than assign you to a new experimental treatment.
Currently, doctors cannot reliably predict ahead of time which lung cancer patients will respond well to pre-surgery chemotherapy and immunotherapy. A better prediction tool could help doctors personalize treatment plans and improve outcomes for patients preparing for lung cancer surgery.
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You would allow researchers to collect and analyze your medical information throughout your treatment journey—including imaging scans, blood work results, treatment records, and how your cancer responds to the medication. The study will follow you through your chemotherapy and immunotherapy treatment and then through your surgery. Beyond providing access to your existing medical records, there are no additional visits or procedures required specifically for this research study.
AI-generated summary from trial data · Jun 6, 2026 · Not medical advice
China
Sponsor
Qian Chu
Enrollment target
~500 participants
Started
December 2025
Primary completion
October 2026
Age range
18 Years and older
Last updated on clinicaltrials.gov in March 2026.
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Central contact
Minghao Hu
Qian Chu
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