Evidence map›Paper›PMID 39038962›Full record

ArticleClinical and molecular hepatology2024

Genomic biomarkers to predict response to atezolizumab plus bevacizumab immunotherapy in hepatocellular carcinoma: Insights from the IMbrave150 trial.

Sun Young Yim, Sung Hwan Lee, Seung-Woo Baek, Bohwa Sohn, Yun Seong Jeong, Sang-Hee Kang, Kena Park, Hyewon Park, Sunyoung S Lee, Ahmed O Kaseb and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Clinical and molecular hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Sun Young YimDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Sung Hwan LeeDivision of Hepatobiliary and Pancreatic Surgery, Department of Surgery, CHA Bundang Medical Center, CHA University, Seongnam, Korea.
Seung-Woo BaekMetabolic Regulation Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea.
Bohwa SohnDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yun Seong JeongDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Sang-Hee KangDepartment of Surgery, Korea University Guro Hospital, Seoul, Korea.
Kena ParkDepartment of Obstetrics and Gynecology, Kyung Hee University Hospital at Gangdong, Seoul, Korea.
Hyewon ParkDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Sunyoung S LeeDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ahmed O KasebDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Young Nyun ParkDepartment of Pathology, Yonsei University College of Medicine, Seoul, Korea.
Sun-Hee LeemDepartment of Biomedical Sciences, Dong-A University, Busan, Korea.
Michael A CurranDepartment of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ji Hoon KimDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Ju-Seog LeeDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
The University of Texas MD Anderson Cancer Center SPORE in Hepatocellular CarcinomaP50CA217674 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YAO, JAMES C · 2019 to 2023
$11.3M
PEA15 IN DEVELOPMENT OF LIVER CANCER AND ITS THERAPEUTIC IMPLICATIONR01CA237327 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LEE, JU-SEOG · 2020 to 2024
$1.8M
Korea University 20024893MD AndersonMinistry of Science and ICTMinistry of Trade, Industry and EnergyNational Research Foundation of Korea 2023R1A2C10073311212982036810102NCI NIH HHS P30 CA016672NCI NIH HHS P30CA016672NCI NIH HHS P50 CA217674NCI NIH HHS P50CA217674NCI NIH HHS R01 CA237327NCI NIH HHS R01CA237327NIH HHSThe Korean Association for the Study of the LiverThe Korean Liver Foundation
6 · The paper itself

Abstract

BACKGROUND/

aimsCombination immunotherapy, exemplified by atezolizumab plus bevacizumab, has become the standard of care for inoperable hepatocellular carcinoma (HCC). However, the lack of predictive biomarkers and limited understanding of response mechanisms remain a challenge.

methodsUsing data from the IMbrave150plus cohort, we applied an immune signature score (ISS) predictor to stratify HCC patients treated with atezolizumab plus bevacizumab or with sorafenib alone into potential high and low response groups. By applying multiple statistical approaches including a Bayesian covariate prediction algorithm, we refined the signature to 10 key genes (ISS10) for clinical use while maintaining similar predictive power to the full model. We further validated ISS10 in an independent HCC cohort treated with nivolumab plus ipilimumab.

resultsThe study identified a significant association between the ISS and treatment response. Among patients classified as high responders, those treated with the atezolizumab plus bevacizumab combination exhibited improved overall and progression-free survival as well as better objective response rate compared to those treated with sorafenib. We also observed a significant correlation between ISS10 and response to nivolumab plus ipilimumab treatment. Analysis of immune cell subpopulations revealed distinct characteristics associated with ISS subtypes. In particular, the ISS10 high subtype displayed a more favorable immune environment with higher proportions of antitumor macrophages and activated T-cells, potentially explaining its better response.

conclusionOur study suggests that ISS and ISS10 are promising predictive biomarkers for enhanced therapeutic outcomes in HCC patients undergoing combination immunotherapy. These markers are crucial for refining patient stratification and personalized treatment approaches to advance the effectiveness of standard-of-care regimens.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsBevacizumabBiomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsAgedFemaleHumansImmunotherapyMaleMiddle AgedNivolumabSorafenibAntibodies, Monoclonal, HumanizedatezolizumabBevacizumabBiomarkers, TumorNivolumabSorafenibAtezolizumabBevacizumabHepatocellular carcinomaImmunotherapyTranscriptome

Identifiers

PMID39038962
PMCPMC11540371

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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.