AI system to predict response to Atezolizumab-Bevacizumab in unresectable liver cancer
Official title: Intelligence System for Predicting Atezolizumab-Bevacizumab Response and Clinical Outcomes in Unresectable Hepatocellular Carcinoma
Run by First Affiliated Hospital of Wenzhou Medical University · NCT07495735 · Data updated 2026-11-12
This study looks at whether an artificial intelligence tool can predict how patients with unresectable hepatocellular carcinoma will respond to atezolizumab-bevacizumab.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 400 (estimated) |
| Sponsor | First Affiliated Hospital of Wenzhou Medical University Academic / other |
| Drugs / interventions | atezolizumab, bevacizumab, immunotherapy |
| Locations | 1 site (Wenzhou, Zhejiang) |
| Status | Recruiting |
| Started | March 22, 2026 |
| Main results expected | December 1, 2026 |
| Study ends | December 30, 2026 |
| Registry record updated | August 4, 2026 |
| Trial ID | NCT07495735 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (18+) with clinical or pathological diagnosis of HCC who are treated with atezolizumab-bevacizumab and have usable pre-treatment imaging and laboratory data.
✕Probably not a fit
Patients without sufficient data or with advanced liver disease or other malignancies may not benefit from the predictive model.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is a multicenter retrospective study led by the First Affiliated Hospital of Wenzhou Medical University that will collect data from about 400 patients treated with atezolizumab-bevacizumab between 2020 and 2025. The goal is to develop a non-invasive AI model using pre-treatment imaging and clinical data to forecast treatment response and outcomes. No experimental treatment will be given; the study analyzes existing records to identify predictive patterns. The study will include patients with adequate imaging and laboratory data and exclude those with missing data or significant comorbidities that hinder evaluation. Results could help tailor therapy choices for patients with unresectable HCC.
Why it matters
Potential benefit: If successful, the AI model could help doctors predict which patients will benefit from atezolizumab-bevacizumab and personalize treatment plans.
How similar studies have gone: Prior studies using imaging plus clinical data have shown promise in predicting responses to cancer therapies, but this specific AI approach for uHCC treated with T+A is novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * (i) Clinical or pathological diagnosis of HCC; * (ii) Administration of atezolizumab-bevacizumab treatment; * (iii) At least 18 years old. Exclusion Criteria: * (i) Lack of key clinical data (laboratory test results), or lack of enhanced CT images taken within one month before treatment; * (ii) Comorbid with other malignant tumors; * (iii) PS score \> 2 or Child-Pugh score \> 7; * (iv) Unable to evaluate tumor response; * (v) Loss to follow-up.
Where it's running
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First Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China Recruiting
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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.