Trial reportInternational journal of cancer2025
Evaluation of hyperprogressive disease with atezolizumab plus bevacizumab for hepatocellular carcinoma: A secondary analysis of the IMbrave150 trial.
Trial report in International journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Evaluation of hyperprogressive disease with atezolizumab plus bevacizumab for hepatocellular carcinoma: A secondary analysis of the IMbrave150 trial.International journal of cancer · 2025Trial
- A multimodal deep learning model predicting hyperprogressive disease for PD-1 blockade in advanced hepatocellular carcinoma.NPJ digital medicine · 2026Article
- Multidisciplinary Clinic Approach Improves Immunotherapy Treatment Outcomes in Unresectable Hepatocellular Carcinoma: A Multicentre Retrospective Study.Liver cancer · 2026Article
- Focusing on the Advances and Challenges of HER2-Targeted Therapy: Cutting-Edge Breakthroughs in Neoadjuvant Treatment for HER2-Positive Breast Cancer.Technology in cancer research & treatmentReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The use of Immune checkpoint inhibitors (ICIs) as monotherapy for patients with hepatocellular carcinoma (HCC) has been associated with an increased risk of hyperprogressive disease (HPD), the occurrence of which carries a poor prognosis. However, it is unknown whether contemporary frontline treatment with the combination of atezolizumab and bevacizumab causes significant HPD. This study conducted a secondary analysis of patient-level data from the IMbrave150 randomized controlled trial of atezolizumab plus bevacizumab versus sorafenib for frontline treatment of HCC. Multiple established definitions of early progression and treatment failure applicable to clinical trials were evaluated, including Response Evaluation Criteria in Solid Tumours (RECIST) HPD, HPD based on percent change of sum of longest diameter (SLD HPD), treatment failure HPD (TF HPD), and fast progression (FP). The incidence of these measures was compared between arms. The risk factors for and prognosis of TF HPD were evaluated. The risk of RECIST HPD and TF HPD was significantly lower with atezolizumab plus bevacizumab treatment than with sorafenib treatment-odds ratio for RECIST HPD: 0.29 (95% CI 0.01 to 0.82), TF HPD: 0.30 (0.17, 0.54). TF HPD was similarly associated with poor prognosis, irrespective of treatment arm. High blood alpha-fetoprotein and neutrophil-to-lymphocyte ratio were both associated with an increased risk of TF HPD. For all definitions of early progression/treatment failure, the risk was either significantly lower with atezolizumab plus bevacizumab than with sorafenib, or there were no differences. Atezolizumab plus bevacizumab treatment is unlikely to cause significant HPD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.