Data model aims to predict lung cancer therapy outcomes
NCT ID NCT07388771
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looks at whether a computer model can predict how well non-small cell lung cancer responds to chemotherapy and immunotherapy given before surgery. Researchers will collect data from 500 participants to build and test this prediction tool. The goal is to improve treatment decisions, but no new treatment is being tested.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 500 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Dec 2025
- Expected to finish
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Oct 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
NSCLC patients suitable for neoadjuvant therapy
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: 1. pathologically diagnosed non-small cell lung cancer 2. The treatment plan is:receiving neoadjuvant chemo-immunotherapy during the study period, followed by surgical resection Exclusion Criteria: 1. recurrent or metastatic lung cancer; 2. patients with other primary tumors
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
2 sites. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Sir Run Run Shaw Hospital
RECRUITINGHangzhou, Zhejiang, 430030, China
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Tongji hospital
RECRUITINGWuhan, Hubei, 430030, China
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