AI-based prediction of who will respond to pre-surgery immunotherapy in locally advanced gastric cancer
Official title: A Prospective, Multicenter, Real-World Cohort Study for the Development and Validation of a Multimodal Artificial Intelligence System to Predict Response to Neoadjuvant Chemo-Immunotherapy in Locally Advanced Gastric Cancer (The PRISM-GC Study)
Run by Hebei Medical University · NCT07401199 · Data updated 2026-11-12
A real-world study will test whether an AI system can predict which patients with locally advanced gastric cancer will respond to neoadjuvant chemotherapy plus PD-1 inhibitors before surgery.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 2000 (estimated) |
| Sponsor | Hebei Medical University Academic / other |
| Drugs / interventions | Sintilimab, Tislelizumab, Camrelizumab, chemotherapy, immunotherapy |
| Locations | 9 sites (Fuyang, Anhui and 8 other locations) |
| Status | Recruiting |
| Started | February 5, 2026 |
| Main results expected | December 30, 2027 |
| Study ends | December 30, 2027 |
| Registry record updated | May 15, 2026 |
| Trial ID | NCT07401199 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (18+) with histologically confirmed locally advanced gastric or gastroesophageal junction adenocarcinoma (clinical stage cT3-4a, N+, M0) who are scheduled for standard neoadjuvant chemo-immunotherapy and have usable pre-treatment CT images and available tissue samples.
✕Probably not a fit
Patients with distant metastasis, unresectable disease, prior systemic therapy for gastric cancer, recent other cancers, or autoimmune conditions requiring systemic immunosuppression may not benefit from this predictive approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This prospective observational study collects data from adults with locally advanced gastric cancer scheduled to receive standard neoadjuvant chemotherapy combined with PD-1 inhibitors. Standard preoperative CT scans and tumor tissue slides will be analyzed using a multimodal AI approach to identify patterns associated with treatment response. The goal is to develop and validate an AI tool that can help predict pathological complete response and guide treatment decisions in a real-world setting. Treatments and choice of PD-1 inhibitor are determined by treating physicians, not by the study protocol. Outcomes will be correlated with imaging and histopathology to assess predictive performance.
Why it matters
Potential benefit: If successful, the AI tool could help clinicians personalize neoadjuvant therapy, potentially improving responses and sparing some patients from unnecessary treatment.
How similar studies have gone: Previous work with AI on imaging and pathology has shown promise in predicting responses to cancer therapies, but prospective validation in this exact neoadjuvant gastric cancer setting remains exploratory.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: Age ≥ 18 years. Histologically confirmed gastric or gastroesophageal junction adenocarcinoma. Clinical stage cT3-4a, N+, M0 (locally advanced) assessed by CT/MRI and endoscopic ultrasound. Scheduled to receive neoadjuvant chemotherapy combined with PD-1 inhibitors (regimens including but not limited to SOX/XELOX + Sintilimab/Tislelizumab/Camrelizumab, etc.) as standard of care. Availability of standard pre-treatment contrast-enhanced abdominal CT images. Willingness to provide peripheral blood samples and tumor tissue (biopsy/surgical) for sequencing and analysis. ECOG performance status 0-1. Adequate organ function to tolerate systemic chemotherapy. Exclusion Criteria: Evidence of distant metastasis (Stage IV) or unresectable disease. Previous systemic anti-tumor therapy for gastric cancer (chemotherapy, radiotherapy, or immunotherapy). History of other malignancies within the past 5 years. Active autoimmune diseases requiring systemic immunosuppressive treatment (contraindication for PD-1 inhibitors). Emergency surgery due to obstruction, perforation, or uncontrolled bleeding. Severe metallic artifacts on CT images that interfere with radiomic feature extraction. Pregnancy or lactation.
Where it's running
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The Fifth Affiliated Hospital of Anhui Medical University
Fuyang, Anhui, China Recruiting -
Cangzhou People's Hospital
Cangzhou, Hebei, China Recruiting -
Hengshui People's Hospital
Hengshui, Hebei, China Recruiting -
The Second Affiliated Hospital of Xingtai Medical College
Xingtai, Hebei, China Recruiting -
Renmin Hospital of Wuhan University
Wuhan, Hubei, China Recruiting -
Yichang Central Hospital
Yichang, Hubei, China Recruiting
Show 3 more locations
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Baoding Central Hospital
Baoding, None Selected, China Recruiting -
Shijiazhuang People's Hospital
Shijiazhuang, None Selected, China Recruiting -
the Fourth Hospital of Hebei Medical University
Shijiazhuang, None Selected, China Recruiting
Study contacts
- Study coordinator: Qun Zhao
- Email: zhaoqun@hebmu.edu.cn
- Phone: +8631186095363
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.