Plain-English translation of NCT06745830 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are studying tissue samples from people who had surgery for invasive lung adenocarcinoma to understand how different patterns found in lymph nodes affect patient outcomes. By examining which patterns are linked to worse prognosis, doctors hope to better predict how individual patients will respond after treatment. This is a retrospective study, meaning researchers are analyzing existing medical records and tissue samples rather than enrolling new patients into a treatment program.
When lung cancer spreads to lymph nodes, the patterns doctors see under the microscope may give clues about how well someone will do long-term. Right now, doctors don't have clear guidelines on which patterns matter most, so this study aims to identify the tissue characteristics that best predict patient outcomes and help guide future treatment decisions.
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This is a retrospective study, so there are no clinic visits or new treatments involved. Researchers will review your existing medical records, pathology reports, and tissue slides from your surgery to analyze the patterns in your lymph nodes. Your participation simply means allowing the research team to access and study your de-identified tissue and medical information.
AI-generated summary from trial data · Aug 8, 2026 · Not medical advice
China
Sponsor
Fudan University
Enrollment target
~2,998 participants
Started
April 2024
Primary completion
December 2024
This trial's estimated completion date has passed — the record may not be fully up to date.
Last updated on clinicaltrials.gov in December 2024.
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Central contact
Zhu
Fudan University
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.