Intelligence System for Predicting Atezolizumab-Bevacizumab Response and Clinical Outcomes in Unresectable Hepatocellular Carcinoma

March 24, 2026 updated by: Gang Chen, MD, First Affiliated Hospital of Wenzhou Medical University
This study is a multicenter retrospective clinical research, led by the First Affiliated Hospital of Wenzhou Medical University, and jointly conducted by other sub-centers. The aim is to develop an non-invasive artificial intelligence system for predicting the response and clinical outcomes of patients with unresectable hepatocellular carcinoma (uHCC) to the treatment with atezolizumab combined with bevacizumab (T+A). In response to the clinical situation where approximately half of uHCC patients do not respond to the standard T+A therapy and traditional invasive biopsy is unable to fully reflect the heterogeneity of the tumor microenvironment, this study plans to retrospectively collect the data of 400 patients who met the inclusion and exclusion criteria from January 2020 to November 2025. The study will systematically summarize multi-dimensional data such as enhanced CT images within one month before treatment, baseline characteristics, serum markers, liver disease factors, and tumor stage. By integrating these clinical features with deep learning imageomics features extracted from images, the research team is dedicated to constructing and validating a safe, non-invasive, and reproducible prediction model, with the aim of achieving precise identification of the benefit population before implementing immunotherapy combined with anti-angiogenic treatment, and providing a powerful intelligent tool support for optimizing clinical treatment decisions and improving patient survival prognosis.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Estimated)

400

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Probability Sample

Study Population

unresectable HCC patients

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Objective response rate
Time Frame: through study completion, an average of 1 year
through study completion, an average of 1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

First Affiliated Hospital of Wenzhou Medical University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

March 22, 2026

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

December 30, 2026

Study Registration Dates

First Submitted

March 18, 2026

First Submitted That Met QC Criteria

March 24, 2026

First Posted (Actual)

March 27, 2026

Study Record Updates

Last Update Posted (Actual)

March 27, 2026

Last Update Submitted That Met QC Criteria

March 24, 2026

Last Verified

March 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • KY2025-394

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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