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Integrated genomic analyses reveal molecular correlates of clinical response and resistance to atezolizumab in combination with bevacizumab in advanced hepatocellular carcinoma

Atezolizumab (anti–programmed death-ligand 1 [anti-PD-L1]) and bevacizumab (anti-vascular endothelial growth factor [anti-VEGF]) combination therapy has become the new standard of care in patients with unresectable hepatocellular carcinoma. However, potential predictive biomarkers and mechanisms of response and resistance remain less understood. We report integrated molecular analyses of tumor samples from 358 patients enrolled in the GO30140 phase 1b or IMbrave150 phase 3 trials who were treated with atezolizumab combined with bevacizumab, atezolizumab alone, or sorafenib. Pre-existing immunity assessed by high expression of CD274 (PD-L1 mRNA), T-effector signature, and intratumoral CD8+ T cell density were associated with response and better clinical outcomes with the combination treatment. Less clinical benefit was associated with high regulatory T cell (Treg) to effector T-cell ratio and high expression of oncofetal genes such as GPC3 and AFP. Improved outcomes from the combination vs atezolizumab alone appeared to be associated with high expression of KDR (VEGFR2), Treg, and myeloid inflammation signatures, indicating anti-VEGF may contribute by targeting these axes. These findings were further validated by transcriptome analysis of paired pre- and post-treatment biopsies, in situ analysis by multiplex IHC and digital pathology, and in vivo study of an immunogenic hepatocellular carcinoma mouse model. Our findings highlight that anti-VEGF therapy might augment antitumor immunity and enhance anti–PD-L1 immunotherapy by targeting VEGF-mediated angiogenesis, Treg proliferation, and myeloid cell inflammation. Furthermore, our study identified candidate biomarkers for predicting response and resistance to anti–PD-L1 and anti-VEGF combination therapy.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001008128 Illumina HiSeq 2500 372
EGAD00001008129 Illumina HiSeq 4000 152
EGAD00001008130 1
Publications Citations
Multiomics identifies metabolic subtypes based on fatty acid degradation allocating personalized treatment in hepatocellular carcinoma.
Hepatology 79: 2024 289-306
56
PD-1<sup>-</sup> CD45RA<sup>+</sup> effector-memory CD8 T cells and CXCL10<sup>+</sup> macrophages are associated with response to atezolizumab plus bevacizumab in advanced hepatocellular carcinoma.
Nat Commun 14: 2023 7825
44
HKDC1 promotes tumor immune evasion in hepatocellular carcinoma by coupling cytoskeleton to STAT1 activation and PD-L1 expression.
Nat Commun 15: 2024 1314
26
A transformer-based deep learning survival prediction model and an explainable XGBoost anti-PD-1/PD-L1 outcome prediction model based on the cGAS-STING-centered pathways in hepatocellular carcinoma.
Brief Bioinform 26: 2024 bbae686
1
Complete Response to Immunotherapy in Patients With Hepatocellular Carcinoma.
JAMA Netw Open 8: 2025 e2461735
4
Unraveling the immune-activated tumor microenvironment correlated with clinical response to atezolizumab plus bevacizumab in advanced HCC.
JHEP Rep 7: 2025 101304
0
Kolmogorov-Arnold Network Model Integrated with Hypoxia Risk for Predicting PD-L1 Inhibitor Responses in Hepatocellular Carcinoma.
Bioengineering (Basel) 12: 2025 322
1
The molecular characteristics of DNA damage and repair related to P53 mutation for predicting the recurrence and immunotherapy response in hepatocellular carcinoma.
Sci Rep 15: 2025 14939
0
Functional Role of NOXA in Hypoxia-Mediated PD-L1 Inhibitor Response in Hepatocellular Carcinoma.
Int J Mol Sci 26: 2025 4766
0
Precision targeting of β-catenin induces tumor reprogramming and immunity in hepatocellular cancers.
Nat Commun 16: 2025 5009
6
FADD Activation in Hepatocellular Carcinoma Potentiates CD8+ T-cell Responses and Sensitizes to Immune Checkpoint Inhibitors.
Cancer Res 85: 2025 3454-3470
1
Hepatic Metabolic Signature and Its Association with the Response to Immunotherapy in Hepatocellular Carcinoma.
Immunotargets Ther 14: 2025 787-798
0
IC2Bert: masked gene expression pretraining and supervised fine tuning for robust immune checkpoint blockade (ICB) response prediction.
Sci Rep 15: 2025 28044
0
Wild-type KRAS activation drives evasion of interferon-mediated immunity and resistance to immunotherapy in hepatocellular carcinoma.
Nat Commun 16: 2025 9913
0
Targeting tumor-intrinsic BCL9 reverses immunotherapy resistance by eliciting macrophage-mediated phagocytosis and antigen presentation.
Nat Commun 16: 2025 10039
0