AI scans and blood tests could predict who responds to stomach cancer chemotherapy
NCT ID NCT07697079
First seen Jul 10, 2026 · Last updated Jul 14, 2026 · Updated 2 times
Summary
This study is testing whether artificial intelligence can predict how well stomach cancer patients will respond to chemotherapy given before surgery. Researchers will collect CT scans, ultrasound images, and blood samples from 300 patients with locally advanced gastric cancer. Using deep learning, they aim to build a model that identifies good versus poor responders, potentially allowing doctors to personalize treatment plans.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a non-invasive way to predict which patients will benefit from chemotherapy, helping tailor treatment and avoid unnecessary side effects.
- What could go wrong
- This is an early-stage observational study, not a treatment trial. The AI model may not be accurate enough for clinical use, and results may not apply to all patients.
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 300 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Feb 2027
An estimate. Start dates often move.
- Expected to finish
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Dec 2030
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
patients with histologically confirmed GC at a locally advanced stage (cT2-4N0/+M0) who received NACT
- Ages
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18 to 80 years
- 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. Capable of understanding the study and voluntarily signing the written informed consent form (ICF) prior to any study-specified research procedures. 2. Aged ≥18 and ≤80 years old at the time of ICF signing. 3. Pathologically confirmed locally advanced gastric cancer (LAGC, cT2NxM0-cT4NxM0) with clinical indications for neoadjuvant chemotherapy. 4. Completion of gastrointestinal contrast-enhanced ultrasound and contrast-enhanced abdominal CT before neoadjuvant chemotherapy. 5. Provision of peripheral blood samples before chemotherapy (for genetic and protein detection). 6. Availability of postoperative pathological specimens for TRG grading after standardized neoadjuvant chemotherapy. 7. Willing and able to comply with all study protocol requirements. Exclusion Criteria: 1. Diagnosis of non-primary gastric cancer. 2. Incomplete imaging data, failure to collect peripheral blood samples, or substandard sample quality. 3. Discontinued chemotherapy, modified treatment regimen, or lack of complete postoperative pathological assessment. 4. Unavailable follow-up data precluding evaluation of chemotherapy response. 5. Concurrent participation in another clinical trial; or any other conditions judged by investigators to warrant subject withdrawal, including severe comorbidities requiring simultaneous treatment (psychiatric disorders included), alcohol dependence, substance abuse, or familial/social factors that may compromise subject safety or treatment compliance.
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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
1 site. 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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QianfoshanH
Jinan, Shandong, 250014, China
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