Evidence map›Paper›PMID 40124166›Full record

ArticleJHEP reports : innovation in hepatology2025

Unraveling the immune-activated tumor microenvironment correlated with clinical response to atezolizumab plus bevacizumab in advanced HCC.

Jinyeong Lim, Myung Ji Goh, Byeong Geun Song, Dong Hyun Sinn, Wonseok Kang, Geum-Youn Gwak, Moon Seok Choi, Joon Hyeok Lee, Dong Ik Cha, Kyowon Gu and 4 more

Abstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Jinyeong LimDepartment of Health Science and Technology, Samsung Advanced Institute for Health Science and Technology, Sunkyunkwan University, Seoul, South Korea.
Myung Ji GohDivision of Gastroenterology and Hepatology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Byeong Geun SongDivision of Gastroenterology and Hepatology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Dong Hyun SinnDivision of Gastroenterology and Hepatology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Wonseok KangDivision of Gastroenterology and Hepatology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Geum-Youn GwakDivision of Gastroenterology and Hepatology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Moon Seok ChoiDivision of Gastroenterology and Hepatology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Joon Hyeok LeeDivision of Gastroenterology and Hepatology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Dong Ik ChaDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Kyowon GuDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Sang Yun HaDepartment of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Inwoo HwangDepartment of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Woong-Yang ParkDepartment of Health Science and Technology, Samsung Advanced Institute for Health Science and Technology, Sunkyunkwan University, Seoul, South Korea.
Yong-Han PaikDepartment of Health Science and Technology, Samsung Advanced Institute for Health Science and Technology, Sunkyunkwan University, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: Despite atezolizumab plus bevacizumab being a standard treatment for advanced hepatocellular carcinoma (HCC), a significant proportion of patients do not achieve durable benefit. This study aimed to identify predictive biomarkers for this therapy by investigating the role of immune activation within the tumor microenvironment (TME). Methods: We characterized the intratumoral TME of patients with advanced HCC treated with atezolizumab plus bevacizumab using single cell transcriptomics on pretreatment tumor biopsies from 12 patients. To complement and support these findings, we integrated our single cell data with publicly available bulk RNA-sequencing data from independent clinical trial cohorts. Results: Patients who responded to combination therapy with atezolizumab plus bevacizumab demonstrated an immune-activated TME, marked by enhanced cytotoxicity and a tumor-specific T cell response. These patients also exhibited an increased proportion of inflammatory cytokine-enriched tumor-associated macrophage clusters with stronger interactions with T cells, an increased population of conventional dendritic cells, and activated antigen-presenting function in tumor endothelial cells. When publicly available bulk RNA-sequencing data from independent clinical trial cohorts were analyzed, these immune activation features were associated with improved progression-free survival (median 10.8 months, 95% CI: 7.3-not reached versus 5.5 months, 95% CI: 4.0-6.7; Conclusions: These findings suggest that the existence of an activated immune TME before treatment is crucial for a favorable clinical response in patients with HCC treated with atezolizumab plus bevacizumab. Impact and implications: Only a subset of patients with HCC benefit from combination therapy with atezolizumab plus bevacizumab, limiting its clinical utility. In this study, we used single cell RNA analysis to identify TME features associated with a clinical response to this therapy. Our findings suggest that a pre-existing immune-activated TME is crucial for predicting the response to atezolizumab plus bevacizumab. Specifically, features such as enhanced T cell cytotoxicity, inflammatory cytokine-enriched macrophage clusters, active antigen presentation in endothelial cells, and an increased presence of dendritic cells may aid patient selection and inform therapeutic strategies.

Indexed as

BiomarkersImmune activationImmunotherapyMacrophagesRNASingle cellTumor associated

Identifiers

PMID40124166
PMCPMC11929055

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.