Molecular correlates of clinical response and resistance to atezolizumab in combination with bevacizumab in advanced hepatocellular carcinoma

Lipid Nanovesicle Platforms for Hepatocellular Carcinoma Precision Medicine Therapeutics: Progress and Perspectives

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related mortality globally. HCC is highly heterogenous with diverse etiologies leading to different driver mutations potentiating unique tumor immune microenvironments. Current therapeutic options, including immune checkpoint inhibitors and combinations, have achieved limited objective response rates for the majority of patients. Thus, a precision medicine approach is needed to tailor specific treatment options for molecular subsets of HCC patients. Lipid nanovesicle platforms, either liposome- (synthetic) or extracellular vesicle (natural)-derived present are improved drug delivery vehicles which may be modified to contain specific cargos for targeting specific tumor sites, with a natural affinity for liver with limited toxicity. This mini-review provides updates on the applications of novel lipid nanovesicle-based therapeutics for HCC precision medicine and the challenges associated with translating this therapeutic subclass from preclinical models to the clinic.

Successful radical surgery for lymph node metastasis in a patient with hepatocellular carcinoma following atezolizumab plus bevacizumab combination therapy: a case report and literature review

A woman in her early 80 s was followed up in our hospital for chronic hepatitis C after viral eradication. We detected rapid-growing lymph node metastasis of hepatocellular carcinoma (HCC) after treatment with transcatheter arterial chemoembolization and/or radiofrequency ablation. We found that the metastasis was operable, but the size and location of the metastasis obliged the patient to receive pancreatoduodenectomy, which was too invasive. Then we initiated systemic chemotherapy to perform radical minimally invasive surgery. We treated the patient with 3 weekly cycles of atezolizumab 1200 mg plus bevacizumab 15 mg/kg. The patient tolerated the treatment well, and treatment-emergent adverse events included deterioration of hypertension and increased uric protein. After a total of 4 cycles of therapy, abdominal computed tomography findings showed that the metastasis evidently decreased, and a complete response was achieved based on the Revised Response Evaluation Criteria in Solid Tumors (RECIST) guidelines (version 1.1). Seventeen days later, the metastasis was dissected. Subsequently, we confirmed that there was no pathological metastatic lesion in the resected lymph node. Our case is the first report of successful application of the radical therapy to lymph node metastasis of HCC via combination therapy with atezolizumab/bevacizumab.

The Association of Transferrin Receptor with Prognosis and Biologic Role in Intrahepatic Cholangiocarcinoma

BACKGROUND

Ferroptosis is a cell death caused by iron-dependent accumulation of lipid peroxidation. Transferrin receptor (TFR) is a ferroptosis-related protein responsible for iron transport. The detailed biologic role of TFR in intrahepatic cholangiocarcinoma (ICC) is not fully elucidated.

METHODS

The study enrolled 92 ICC patients who had undergone hepatic resection. Immunohistochemistry (IHC) assays were performed for TFR protein expression. The regulation of malignant activity and the effect on sensitivity to the ferroptosis-inducer artesunate by TFR were investigated in vitro.

RESULTS

Using IHC staining, 23 patients were categorized as TFR-positive. The TFR-positive group had a significantly larger tumor size and more microscopic vascular invasion. In the multivariate analysis, TFR positivity was an independent poor prognostic factor. In vitro TFR-knockdown (KD) significantly decreased the intracellular iron levels and the cell proliferation, migration, and invasion rates. Artesunate treatment significantly decreased cell viability, whereas cisplatin promoted ferroptosis. When iron transport into cells was inhibited by TFR-KD, ferroptosis was significantly suppressed. Expression of PD-L1 was induced by cisplatin, with a further increase observed when artesunate and cisplatin were used in combination.

CONCLUSIONS

Transferrin receptor is a poor prognostic factor for ICC and contributes to sensitivity to ferroptosis.

Antitumor effects of IOX1 combined with bevacizumab-induced apoptosis and immunity on colorectal cancer cells

Colorectal cancer (CRC), as a fatal cancer, is one of the most common cancers worldwide. Although the standard treatment for colorectal cancer is well researched and established, long-term patient survival remains poor, and mortality remains high. Therefore, more and more effective treatment options are needed. To evaluate the efficacy of bevacizumab, the histone demethylase inhibitor IOX1, or their combination for the treatment of colorectal cancer, we examined the effects of IOX1, bevacizumab, and IOX1 combined with bevacizumab on cell activity, proliferation, and migration of colorectal cancer cell lines HCT116, RKO, and CT26 by CCK8, colony formation assay, wound healing assay, and transwell assay. The effects of the drugs alone as well as in combination on apoptosis in colorectal cancer cell lines were examined by flow cytometry and further validated by Western blotting for apoptosis-related proteins. The antitumor effects of treatment alone or in combination on colorectal cancer cells were examined in animal models. Mice were injected subcutaneously with CT26 cells and the growth and immune infiltration in tumor tissues were detected by IHC after drug treatment. We found that IOX1 could effectively inhibit the activity of CRC cells and had a significant inhibitory effect on the proliferation and migration of CRC cells. The apoptosis rate increased in a dose-dependent manner after IOX1 treatment on colorectal cancer cells, and the expression of apoptosis-related proteins changed accordingly. Further combination with bevacizumab revealed that the combination had a more significant effect on the proliferation, migration, and apoptosis of CRC cells than either IOX1 or bevacizumab alone. In vivo experiments have found that both alone and combination drugs can inhibit the growth of mouse tumors, but the effect of combination inhibition is the most obvious. Combination therapy significantly inhibited the expression of proliferative marker (Ki67) in tumor xenograft models, and increased content of antigen-specific CD4+, CD8+T cell growth, and granzymeB (GZMB), which is associated with T cell cytotoxicity, was detected in combination therapy. Immunoassays suppressed the expression of relevant PD-1 and decreased. The anticancer drug bevacizumab and the histone demethylase inhibitor IOX1 may inhibit colon cancer cell growth by regulating apoptosis. The inhibitory effect of combination therapy on tumor growth may be achieved, in part, through upregulation of infiltration-mediated tumor immunity by T lymphocytes. The combination of IOX1 and bevacizumab produced significant synergistic effects. This study aims to provide a new direction for CRC combination therapy.

Hepatocellular Carcinoma Immune Microenvironment Analysis: A Comprehensive Assessment with Computational and Classical Pathology

PURPOSE

The spatial variability and clinical relevance of the tumor immune microenvironment (TIME) are still poorly understood for hepatocellular carcinoma (HCC). In this study, we aim to develop a deep learning (DL)-based image analysis model for the spatial analysis of immune cell biomarkers and microscopically evaluate the distribution of immune infiltration.

EXPERIMENTAL DESIGN

Ninety-two HCC surgical liver resections and 51 matched needle biopsies were histologically classified according to their immunophenotypes: inflamed, immune-excluded, and immune-desert. To characterize the TIME on immunohistochemistry (IHC)-stained slides, we designed a multistage DL algorithm, IHC-TIME, to automatically detect immune cells and their localization in the TIME in tumor-stroma and center-border segments.

RESULTS

Two models were trained to detect and localize the immune cells on IHC-stained slides. The framework models (i.e., immune cell detection models and tumor-stroma segmentation) reached 98% and 91% accuracy, respectively. Patients with inflamed tumors showed better recurrence-free survival than those with immune-excluded or immune-desert tumors. Needle biopsies were found to be 75% accurate in representing the immunophenotypes of the main tumor. Finally, we developed an algorithm that defines immunophenotypes automatically based on the IHC-TIME analysis, achieving an accuracy of 80%.

CONCLUSIONS

Our DL-based tool can accurately analyze and quantify immune cells on IHC-stained slides of HCC. Microscopic classification of the TIME can stratify HCC according to the patient prognosis. Needle biopsies can provide valuable insights for TIME-related prognostic prediction, albeit with specific constraints. The computational pathology tool provides a new way to study the HCC TIME.

IL-6/STAT3 signaling pathway induces prostate apoptosis response protein-4(PAR-4) to stimulate malignant behaviors of hepatocellular carcinoma cells

INTRODUCTION AND OBJECTIVES

Prostate apoptosis response protein-4 (PAR-4) is considered a tumor suppressor. However, the role of PAR-4 in hepatocellular carcinoma (HCC) has rarely been reported. The study explores the role of PAR-4 in the malignant behaviors of HCC cells.

MATERIALS AND METHODS

TCGA database was applied to analyze the expression of PAR-4 in HCC. Evaluated PAR-4 relationship with clinical parameters and prognosis by tissue microarray; expression of STAT3, p-STAT3, Src and Ras was detected by Western blotting or laser confocal microscopy. Cell scratch and flow cytometry assays were used to observe IL-6 regulation of the malignant behaviors of HCC cells. The tumorigenic potential of HCC cells in vivo was evaluated in a nude mouse tumor model.

RESULTS

Analysis indicated that the expression of PAR-4 in HCC tissues was significantly higher than that in normal liver tissues; and PAR-4 interacted with STAT3. KEGG analysis showed that PAR-4 plays a role in the Janus kinase (JAK)/STAT signaling pathway. The positive expression rate of PAR-4 in HCC tissues was significantly higher than that in adjacent tissues. Positive correlation between IL-6 and PAR-4 expression in the HCC tissues. Exogenous IL-6 significantly promoted the proliferation and migration of HCC cells and up-regulated the expression of PAR-4 and p-STAT3 in HCC cells. Interference of the expression of PAR-4 could reduce the malignant behaviors of HCC cells and inhibit tumorigenesis in a nude mouse tumor model.

CONCLUSIONS

PAR-4 expression is positively correlated with HCC; PAR-4 promotes malignant behavior of HCC cells mediated by the IL-6/STAT3 signaling pathway.

Lenvatinib-resistant hepatocellular carcinoma promotes malignant potential of tumor-associated macrophages via exosomal miR-301a-3p

Background

The interactions between cancer cells and tumor-associated macrophages (TAMs) via microRNAs (miRNAs) play crucial roles in malignant potential and drug resistance. However, it remains unclear how lenvatinib-resistant hepatocellular carcinoma (LR HCC) promotes TAM tumor biology. Here we investigated the crosstalk between LR HCC cells and TAMs for cancer progression and lenvatinib resistance, focusing on an exosomal miRNA.

Methods

We used two bioinformatics software programs to identify miRNAs that target PTEN in gastrointestinal cancers, then investigated exosomal miRNA expression in LR HCC conditioned medium (CM). After modifying TAMs with LR HCC CM (LR TAM), macrophage phenotype and PTEN-Nrf2 signaling pathway component expression were analyzed in LR TAMs. The malignant potential and drug resistance were investigated in naïve HCC cells cultured with LR TAM CM.

Results

LR HCC cells highly induced M2-like properties in macrophages compared with naïve HCC cells. Exosomal miR-301a-3p expression was increased in LR HCC CM, with higher activation of the PTEN/PI3K/GSK3β/Nrf2 signaling pathway in LR TAMs. Naïve HCC cells were educated with LR TAM CM to promote malignant potential and lenvatinib resistance. Inhibition of exosomal miR-301a-3p prevented the malignant potential of LR TAMs. Activation of Nrf2 signaling by LR HCC cell-derived exosomal miR-301a-3p skewed the transformation of macrophages to the M2 phenotype.

Conclusion

Our study provides new findings on the role of miR-301a-3p, suggesting it is a promising therapeutic target to improve HCC lenvatinib resistance.

Circulating Biomarkers Predict Immunotherapeutic Response in Hepatocellular Carcinoma Using a Machine Learning Method

Background

Immune checkpoint inhibitor (ICI) therapy is a promising treatment for cancer. However, the response rate to ICI therapy in hepatocellular carcinoma (HCC) patients is low (approximately 30%). Thus, an approach to predict whether a patient will benefit from ICI therapy is required. This study aimed to design a classifier based on circulating indicators to identify patients suitable for ICI therapy.

Methods

This retrospective study included HCC patients who received immune checkpoint inhibitor therapy between March 2017 and September 2023 at Nanjing Drum Tower Hospital and Jinling Hospital. The levels of the 17 serum biomarkers and baseline patients' characters were assessed to discern meaningful circulating indicators related with survival benefits using random forest. A prognostic model was then constructed to predict survival of patients after treatment.

Results

A total of 369 patients (mean age 56, median follow-up duration 373 days,) were enrolled in this study. Among the 17 circulating biomarkers, 11 were carefully selected to construct a classifier. Receiver operating characteristic (ROC) analysis yielded an area under the curve (AUC) of 0.724. Notably, patients classified into the low-risk group exhibited a more positive prognosis (P = 0.0079; HR, 0.43; 95% CI 0.21-0.87). To enhance efficacy, we incorporated 11 clinical features. The extended model incorporated 12 circulating indicators and 5 clinical features. The AUC of the refined classifier improved to 0.752. Patients in the low-risk group demonstrated superior overall survival compared with those in the high-risk group (P = 0.026; HR 0.39; 95% CI 0.11-1.37).

Conclusion

Circulating biomarkers are useful in predicting therapeutic outcomes and can help in making clinical decisions regarding the use of ICI therapy.

Targeting the immune privilege of tumor-initiating cells to enhance cancer immunotherapy

Tumor-initiating cells (TICs) possess the ability to evade anti-tumor immunity, potentially explaining many failures of cancer immunotherapy. Here, we identify CD49f as a prominent marker for discerning TICs in hepatocellular carcinoma (HCC), outperforming other commonly used TIC markers. CD49f-high TICs specifically recruit tumor-promoting neutrophils via the CXCL2-CXCR2 axis and create an immunosuppressive milieu in the tumor microenvironment (TME). Reciprocally, the neutrophils reprogram nearby tumor cells toward a TIC phenotype via secreting CCL4. These cells can evade CD8+ T cell-mediated killing through CCL4/STAT3-induced and CD49f-stabilized CD155 expression. Notably, while aberrant CD155 expression contributes to immune suppression, it also represents a TIC-specific vulnerability. We demonstrate that either CD155 deletion or antibody blockade significantly enhances sensitivity to anti-PD-1 therapy in preclinical HCC models. Our findings reveal a new mechanism of tumor immune evasion and provide a rationale for combining CD155 blockade with anti-PD-1/PD-L1 therapy in HCC.

Deciphering the Multifaceted Immune Landscape of Unresectable Primary Liver Cancer to Predict Immunotherapy Response

Immunotherapies employing PD-1/PD-L1 immune checkpoint inhibitors (ICIs) are vital for primary liver cancer (PLC), but response rates remain unsatisfying. Accurate differentiation of responders from non-responders to immunotherapy is imperative. Here, single-cell-scaled mass cytometry analysis on sequential peripheral blood mononuclear cells (PBMCs) from ICI-treated PLC patients is conducted, and tissue residence of immune subpopulations is assessed via multiplex immunohistochemistry. In the discovery cohort (n = 24), responders have lower baseline B cell and HLA-DR+CD8+T cell, and higher CD14+CD16- classical monocyte (CM) proportions. CMs decrease more in responders PBMCs, while HLA-DR+CD8+T cells conformably amplify after ICI-exposure. Responsive individuals display upregulated exhaustion and activation markers in peripheral immune lineages. In the expanded cohort of 77 patients, the augment of the B cells in non-responders is re-confirmed. Responders demonstrate much higher enrichment of B cells or tertiary lymphoid structures in tumor compared to non-responders. A prospective model that excelled in early discrimination of responders is developed using generalized linear model and achieves a satisfactory AUC over 0.9 in all three independent cohorts. Integratedly, the study unveils dynamic immune landscapes in PLC patients undergoing ICI-based therapy, aiding in PLC patient stratification for ICI-based treatment and fostering new response monitoring strategies.

An Early Increase in IL-10 and TNF-α Levels Following Atezolizumab Plus Bevacizumab Treatment Predicts Survival in Advanced Hepatocellular Carcinoma Patients: A Prospective Cohort Study

Background/Objectives: Reliable biomarkers for predicting outcomes in hepatocellular carcinoma (HCC) treated with atezolizumab plus bevacizumab (Ate/Bev) are still lacking. Cytokines, which play a crucial role in immune regulation and HCC progression, have potential as predictive markers, but data supporting their use are limited. This study aimed to evaluate the impact of early changes in cytokine levels on the clinical outcomes of advanced HCC patients. Methods: We prospectively enrolled 32 advanced HCC patients, collecting blood samples before the first and second Ate/Bev treatments. These samples were analyzed for IL-2, IL-6, IL-10, IL-12, IL-17, IFN-γ, and TNF-α levels to assess changes post-treatment. The primary outcome was overall survival, with a secondary focus on progression-free survival (PFS) at 6 months. Results: The mean age of the participants was 64.2 years, with the majority being male (93.8%). Patients showing increased IL-10, IL-17, and TNF-α levels had significantly better survival (p < 0.05) and marginally improved PFS compared to those with decreased cytokine levels. Interestingly, a positive correlation was noted between changes in IL-10 and TNF-α levels (p = 0.009). Furthermore, a multivariable analysis revealed that increased levels of IL-10 and TNF-α were significant predictors of enhanced survival (hazard ratio, 0.07; 95% confidence interval, 0.01-0.46; p = 0.005). Conclusions: An early increases in IL-10 and TNF-α after Ate/Bev treatment may serve as effective biomarkers for clinical outcomes in advanced HCC patients.

HCV- and HBV-mediated liver cancer converge on similar transcriptomic landscapes and immune profiles

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related deaths worldwide, and a large proportion is attributable to viral causes, including hepatitis B (HBV) and C viruses (HCV). The pathogenesis of viral-mediated HCC can differ between HBV and HCV, but it is unclear how much these differences influence the tumors' final molecular and immune profiles. Additionally, there are known sex differences in the molecular etiology of HCC, but sex differences have not been explored in the context of viral-mediated HCC. To determine the extent to which the viral status and sex impact the molecular and immune profiles of HCC, we performed differential expression and immune cell deconvolution analyses. We identified a large number of differentially expressed genes unique to the HBV or HCV tumor:tumor-adjacent comparison. Pathway enrichment analyses demonstrated that changes unique to the HCV tumor:tumor-adjacent tissue were dominated by changes in immune pathways. Immune cell deconvolution demonstrated that HCV tumor-adjacent tissue had the largest immune cell infiltrate, with no difference in the immune profiles within HBV and HCV tumor samples. Overall, this work demonstrates the convergence of HBV- and HCV-mediated HCC on a similar transcriptomic landscape and immune profile despite differences in the surrounding tissue.

Atezolizumab Plus Chemotherapy With or Without Bevacizumab in Advanced Biliary Tract Cancer: Clinical and Biomarker Data From the Randomized Phase II IMbrave151 Trial

PURPOSE

Biliary tract cancers (BTCs) harbor an immunosuppressed tumor microenvironment and respond poorly to PD-1/PD-L1 inhibitors. Bevacizumab (anti-vascular endothelial growth factor) plus chemotherapy can promote anticancer immunity, augmenting response to PD-L1 inhibition.

PATIENTS AND METHODS

This randomized, double-blind, proof-of-concept phase II study enrolled patients (n = 162) with previously untreated advanced BTC (IMbrave151; ClinicalTrials.gov identifier: NCT04677504). Patients were randomly assigned 1:1 to receive cycles of atezolizumab (1,200 mg) plus bevacizumab (15 mg/kg) or atezolizumab plus placebo once every 3 weeks until disease progression or unacceptable toxicity. All patients received cisplatin (25 mg/m2) plus gemcitabine (1,000 mg/m2; cisplatin plus gemcitabine [CisGem]) on days 1 and 8 once every 3 weeks for up to eight cycles. Stratification of patients was by disease status, geographic region, and primary tumor location. The primary end point was progression-free survival (PFS). No formal hypothesis testing was performed. Exploratory correlative biomarker analysis was undertaken using transcriptome analysis (n = 95) and mutation profiling (n = 102) on baseline tumor samples.

RESULTS

Between February and September 2021, 162 patients were enrolled. Median PFS was 8.3 months in the bevacizumab arm and 7.9 months in the placebo arm (stratified hazard ratio [HR], 0.67 [95% CI, 0.46 to 0.95]). Median overall survival (OS) was 14.9 and 14.6 months in the bevacizumab and placebo arms, respectively (stratified HR, 0.97 [95% CI, 0.64 to 1.47]). The incidence of grade 3 or 4 adverse events was 74% in both arms. High VEGFA gene expression was associated with improved PFS (HR, 0.44 [95% CI, 0.23 to 0.83]) in the bevacizumab arm versus placebo.

CONCLUSION

In unselected patients with advanced BTC, adding bevacizumab to atezolizumab plus CisGem modestly improves PFS but not OS. High VEGFA gene expression may represent a predictive biomarker of benefit from atezolizumab/bevacizumab, warranting further investigation.

Spatial single-cell profiling and neighbourhood analysis reveal the determinants of immune architecture connected to checkpoint inhibitor therapy outcome in hepatocellular carcinoma

BACKGROUND

The determinants of the response to checkpoint immunotherapy in hepatocellular carcinoma (HCC) remain poorly understood. The organisation of the immune response in the tumour microenvironment (TME) is expected to govern immunotherapy outcomes but spatial immunotypes remain poorly defined.

OBJECTIVE

We hypothesised that the deconvolution of spatial immune network architectures could identify clinically relevant immunotypes in HCC.

DESIGN

We conducted highly multiplexed imaging mass cytometry on HCC tissues from 101 patients. We performed in-depth spatial single-cell analysis in a discovery and validation cohort to deconvolute the determinants of the heterogeneity of HCC immune architecture and develop a spatial immune classification that was tested for the prediction of immune checkpoint inhibitor (ICI) therapy.

RESULTS

Bioinformatic analysis identified 23 major immune, stroma, parenchymal and tumour cell types in the HCC TME. Unsupervised neighbourhood detection based on the spatial interaction of immune cells identified three immune architectures with differing involvement of immune cells and immune checkpoints dominated by either CD8 T-cells, myeloid immune cells or B- and CD4 T-cells. We used these to define three major spatial HCC immunotypes that reflect a higher level of intratumour immune cell organisation: depleted, compartmentalised and enriched. Progression-free survival under ICI therapy differed significantly between the spatial immune types with improved survival of enriched patients. In patients with intratumour heterogeneity, the presence of one enriched area governed long-term survival.

Clinicogenomic predictors of outcomes in patients with hepatocellular carcinoma treated with immunotherapy

INTRODUCTION

Immune checkpoint inhibitor (ICI) combinations extend overall survival (OS) while anti-PD-1/L1 monotherapy is non-inferior to sorafenib in treatment-naïve, patients with advanced hepatocellular carcinoma (HCC). Clinicogenomic features are posited to influence patient outcomes.

METHODS

The primary objective of this retrospective study was to define the clinical, pathologic, and genomic factors associated with outcomes to ICI therapy in patients with HCC. Patients with histologically confirmed advanced HCC treated with ICI at Memorial Sloan Kettering Cancer Center from 2012 to 2022 were included. Association between clinical, pathological, and genomic characteristics were assessed with univariable and multivariable Cox regression model for progression-free survival (PFS) and OS.

RESULTS

Two-hundred and forty-two patients were treated with ICI-based therapy. Patients were predominantly male (82%) with virally mediated HCC (53%) and Child Pugh A score (70%). Median follow-up was 28 months (0.5-78.4). Median PFS for those treated in 1st line, 2nd line and ≥ 3rd line was 4.9 (range: 2.9-6.2), 3.1 (2.3-4.0), and 2.5 (2.1-4.0) months, respectively. Median OS for those treated in 1st line, 2nd line, and ≥ 3rd line was 16 (11-22), 7.5 (6.4-11), and 6.4 (4.6-26) months, respectively. Poor liver function and performance status associated with worse PFS and OS, while viral hepatitis C was associated with favorable outcome. Genetic alterations were not associated with outcomes.

CONCLUSION

Clinicopathologic factors were the major determinates of outcomes for patients with advanced HCC treated with ICI. Molecular profiling did not aid in stratification of ICI outcomes. Future studies should explore alternative biomarkers such as the level of immune activation or the pretreatment composition of the immune tumor microenvironment.

Immunotherapy for hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a major global healthcare challenge, with >1 million patients predicted to be affected annually by 2025. In contrast to other cancers, both incidence and mortality rates continue to rise, and HCC is now the third leading cause of cancer-related death worldwide. Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape for advanced HCC, with trials demonstrating a superior overall survival benefit compared to sorafenib in the first-line setting. Combination therapy with either atezolizumab (anti-PD-L1) and bevacizumab (anti-VEGF) or durvalumab (anti-PD-L1) and tremelimumab (anti-CTLA-4) is now recognised as standard of care for advanced HCC. More recently, two phase III studies of ICI-based combination therapy in the early and intermediate disease settings have successfully met their primary end points of improved recurrence- and progression-free survival, respectively. Despite these advances, and in contrast to other tumour types, there remain no validated predictive biomarkers of response to ICIs in HCC. Ongoing research efforts are focused on further characterising the tumour microenvironment in order to select patients most likely to benefit from ICI and identify novel therapeutic targets. Herein, we review the current understanding of the immune landscape in which HCC develops and the evidence for ICI-based therapeutic strategies in HCC. Additionally, we describe the state of biomarker development and novel immunotherapy approaches in HCC which have progressed beyond the pre-clinical stage and into early-phase trials.

Spatial single-cell protein landscape reveals vimentinhigh macrophages as immune-suppressive in the microenvironment of hepatocellular carcinoma

Tumor microenvironment heterogeneity in hepatocellular carcinoma (HCC) on a spatial single-cell resolution is unclear. Here, we conducted co-detection by indexing to profile the spatial heterogeneity of 401 HCC samples with 36 biomarkers. By parsing the spatial tumor ecosystem of liver cancer, we identified spatial patterns with distinct prognosis and genomic and molecular features, and unveiled the progressive role of vimentin (VIM)high macrophages. Integration analysis with eight independent cohorts demonstrated that the spatial co-occurrence of VIMhigh macrophages and regulatory T cells promotes tumor progression and favors immunotherapy. Functional studies further demonstrated that VIMhigh macrophages enhance the immune-suppressive activity of regulatory T cells by mechanistically increasing the secretion of interleukin-1β. Our data provide deep insights into the heterogeneity of tumor microenvironment architecture and unveil the critical role of VIMhigh macrophages during HCC progression, which holds potential for personalized cancer prevention and drug discovery and reinforces the need to resolve spatial-informed features for cancer treatment.

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

BACKGROUND/AIMS

Combination 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.

METHODS

Using 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.

RESULTS

The 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.

CONCLUSION

Our 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.

Distinct Characteristics and Changes in Liver Function of Patients with Hepatocellular Carcinoma Treated with Atezolizumab Plus Bevacizumab for More Than 1 Year

PURPOSE

Since 2020, atezolizumab plus bevacizumab (Ate/Bev) has been the standard first-line therapy for unresectable hepatocellular carcinoma (HCC), but long-term treatment studies are limited. This study evaluated the clinical characteristics and effects of Ate/Bev for over 1 year.

MATERIALS AND METHODS

This study included patients with unresectable HCC treated with first-line Ate/Bev between May 2020 and April 2022. Those receiving Ate/Bev for 1 year or more were classified as the long-term treatment group.

RESULTS

Of 246 patients, 69 (28.0%) were in the long-term treatment group, which comprised more proportions of intrahepatic tumor burden < 25%, Eastern Cooperative Oncology Group 0, and a lower proportion of portal vein tumor thrombosis than the short-term treatment group. The long-term treatment group had a higher incidence of atezolizumab-related thyroid dysfunction (31.9% vs. 10.7%, p < 0.001; median time to onset [mTTO], 2.8 months), dermatologic toxicity (29.0% vs. 14.7%, p=0.017; mTTO, 3.3 months), bevacizumab-related hypertension (44.9% vs. 22.0%, p=0.001; mTTO, 4.2 months), and proteinuria (69.6% vs. 38.4%, p < 0.001; mTTO, 6.8 months), compared to the short-term treatment group. Regarding liver function in the long-term treatment group, patients initially classified as Child-Pugh class A decreased from 87.0% to 75.4%, and albumin-bilirubin grade 1 decreased from 68.1% to 50.7% after 1 year of treatment.

CONCLUSION

The Ate/Bev long-term treatment group had a lower intrahepatic tumor burden, less portal vein tumor thrombosis, and better performance status and liver function at baseline. Atezolizumab-related immunological adverse events emerged relatively early in treatment compared to the bevacizumab-related. Additionally, some patients demonstrated liver function deterioration during long-term Ate/Bev treatment.

Biohybrid hydrogel inhibiting β-klotho/HDAC3 axis for hepatocellular carcinoma treatment

Hepatocellular carcinoma (HCC), ranking as the fourth most prevalent cancer globally, has garnered significant attention due to its high invasiveness and mortality rates. However, drug therapies face challenges of inadequate efficacy and unclear mechanisms. Here, we propose a novel biohybrid hydrogel that targets β-klotho (KLB) for HCC treatment. As a dual-network hydrogel, this gel combines gelatin methacryloyl (GelMA) and polyvinyl alcohol (PVA) to ensure biocompatibility while enhancing controlled drug release. Notably, it exhibits good storage stability, high drug load capacity, and efficient water absorption. By introducing the HDAC3 inhibitor RGFP966, we can selectively inhibit the activation of KLB. This deactivation effectively blocks the FGF21-KLB signaling pathway and inhibits the progression of HCC. Importantly, we have successfully validated this unique phenomenon both in vivo and in vitro, providing substantial evidence for the efficacy of this hydrogel-based anti-tumor drug delivery system as a promising strategy for HCC treatment. This innovative research outcome brings new hope to the field of tumor therapy, providing a reliable theoretical foundation for future clinical applications.

Panoramic tumor microenvironment in pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is notorious for its resistance to various treatment modalities. The genetic heterogeneity of PDAC, coupled with the presence of a desmoplastic stroma within the tumor microenvironment (TME), contributes to an unfavorable prognosis. The mechanisms and consequences of interactions among different cell types, along with spatial variations influencing cellular function, potentially play a role in the pathogenesis of PDAC. Understanding the diverse compositions of the TME and elucidating the functions of microscopic neighborhoods may contribute to understanding the immune microenvironment status in pancreatic cancer. As we delve into the spatial biology of the microscopic neighborhoods within the TME, aiding in deciphering the factors that orchestrate this intricate ecosystem. This overview delineates the fundamental constituents and the structural arrangement of the PDAC microenvironment, highlighting their impact on cancer cell biology.

Clinical significance of circulating biomarkers of immune-checkpoint molecules with atezolizumab plus bevacizumab therapy in unresectable hepatocellular carcinoma

BACKGROUND

The aims of this study were to identify clinically significant biomarkers of a response to atezolizumab plus bevacizumab (ATZ + BV) therapy and to develop target strategies against unresectable hepatocellular carcinoma (u-HCC).

METHOD

We first investigated the potential of circulating tumor DNA (ctDNA) to serve as a biomarker for predicting the therapeutic outcome in 24 u-HCC patients treated with ATZ + BV therapy. Next, we analyzed levels of immune-related cytokines in blood samples from 134 u-HCC patients who received ATZ + BV. For this, serum immune-related molecules or cancer-immune cycle-related molecules that have been reported in HCC patient sera, namely CD274, LAG-3, CCL2, 4, 5, CXCL1, 9, 10, 12, 13, CX3CL1, CCR5, IFNγ and IL-6, 8 were measured using enzyme-linked immunosorbent assay.

RESULTS

More than 1% of variant read frequency (VRF) mutations were found in TP53, APC, PIK3CA and VHL, although with no correlation with treatment response. Among the 15 cytokines evaluated, CXCL9 and LAG-3 levels were significantly different between patients with objective response (OR), stable disease (SD), and progressive disease (PD) following ATZ + BV treatment. Receiver-operating characteristic curve analyses of CXCL9 (cut-off value: 419.1 pg/ml) and LAG-3 (cut-off value: 3736.3 pg/ml) indicated areas of 0.779 and 0.697, respectively, for differentiating PD from non-PD and OR from non-OR. In multivariate analysis of progression-free survival (PFS) and overall survival (OS), high serum CXCL9 (hazard ratio (HR) and 95% confidence interval (CI): 0.412 (0.251-0.677) (p = 0.0005) for PFS and 0.252 (0.125-0.508) (p = 0.0001) for OS), and low serum LAG-3 (HR and 95% CI 0.419 (0.249-0.705) (p = 0.0011) for PFS and 0.294 (0.140-0.617) (p = 0.0012) for OS) were independent positive predictive factors.

CONCLUSION

Although, as far as we examined, no ctDNA mutations in blood were found to be related to ATZ + BV treatment efficacy, serum CXCL9 and LAG-3 levels, which are related to the cancer-immune cycle, were associated with treatment efficacy and could be predictive markers of the efficacy of ATZ + BV treatment in HCC patients.

Significance of Immune and Non-Immune Cell Stroma as a Microenvironment of Hepatocellular Carcinoma-From Inflammation to Hepatocellular Carcinoma Progression

Hepatocellular carcinoma (HCC) is the most common liver cancer as well as the most prevalent cause of death in the adult patient population with cirrhosis. The occurrence of HCC is primarily caused by chronic liver inflammation that might occur because of a viral infection, non-alcoholic fatty liver disease (NAFLD), or various lifestyle-associated factors. The objective of this review was to summarize the current knowledge regarding the microenvironment of HCC, indicating how immune- and non-immune-cell stroma might affect the onset and progression of HCC. Therefore, in the following narrative review, we described the role of tumor-infiltrating neutrophils, bone-marrow-derived cells, tumor-associated mast cells, cancer-associated fibroblasts, tumor-associated macrophages, liver-sinusoidal endothelial cells, lymphocytes, and certain cytokines in liver inflammation and the further progression to HCC. A better understanding of the HCC microenvironment might be crucial to introducing novel treatment strategies or combined therapies that could lead to more effective clinical outcomes.

Biomarkers for Immunotherapy Efficacy in Advanced Hepatocellular Carcinoma: A Comprehensive Review

Hepatocellular carcinoma (HCC), the most common primary liver malignancy and the sixth most common cancer globally, remains fatal for many patients with inappropriate responses to treatment. Recent advancements in immunotherapy have transformed the treatment landscape for advanced HCC. However, variability in patient responses to immunotherapy highlights the need for biomarkers that can predict treatment outcomes. This manuscript comprehensively reviews the evolving role of biomarkers in immunotherapy efficacy, spanning from blood-derived indicators-alpha-fetoprotein, inflammatory markers, cytokines, circulating tumor cells, and their DNA-to tissue-derived indicators-programmed cell death ligand 1 expression, tumor mutational burden, microsatellite instability, and tumor-infiltrating lymphocytes. The current body of evidence suggests that these biomarkers hold promise for improving patient selection and predicting immunotherapy outcomes. Each biomarker offers unique insights into disease biology and the immune landscape of HCC, potentially enhancing the precision of treatment strategies. However, challenges such as methodological variability, high costs, inconsistent findings, and the need for large-scale validation in well-powered two-arm trial studies persist, making them currently unsuitable for integration into standard care. Addressing these challenges through standardized techniques and implementation of further studies will be critical for the future incorporation of these biomarkers into clinical practice for advanced HCC.

Liver cancer in ovo models for preclinical testing

Immunotherapies have significantly improved the prognosis of patients with advanced hepatocellular carcinoma (HCC), although more than 70% of patients still do not respond to this first-line treatment. Many new combination strategies are currently being explored, which drastically increases the need for preclinical models that would allow large-scale testing of new immunotherapies and their combinations. We developed several in ovo (in the egg) human liver cancer models, based on human tumor xenografts of different liver cancer cell lines on the chicken embryo's chorioallantoic membrane. We characterized the angiogenesis, as well as the collagen accumulation and tumor immune microenvironment, and tested atezolizumab (anti-PD-L1) plus bevacizumab (anti-VEGF) treatment. Our results show the involvement of chicken immune cells in tumor growth, reproducing a classical non-inflamed "cold" as well as inflamed "hot" tumor status, depending on the in ovo liver cancer model. The treatment by atezolizumab and bevacizumab was highly efficient in the "hot" tumor model PLC/PRF/5 in ovo with the reduction of tumor size by 76% (p ≤ .0001) compared with the control, whereas the efficacy was limited in the "cold" Hep3B in ovo tumor. The contribution of the anti-PD-L1 blockade to the anti-tumoral effect in the PLC/PRF/5 in ovo model was demonstrated by the efficacy of atezolizumab monotherapy (p = .0080, compared with the control). To conclude, our study provides a detailed characterization and rational arguments that could help to partially replace conventional laboratory animals with a more ethical model, suited to the current needs of preclinical research of new immunotherapies for liver cancer.

Camrelizumab combined with transcatheter arterial chemoembolization and sorafenib or lenvatinib for unresectable hepatocellular carcinoma: A multicenter, retrospective study

INTRODUCTION AND OBJECTIVES

We initiated this study to explore the efficacy of camrelizumab combined with transcatheter arterial chemoembolization (TACE) plus sorafenib or lenvatinib versus TACE plus sorafenib or Lenvatinib for unresectable hepatocellular carcinoma (HCC).

MATERIALS AND METHODS

From June 2019 to November 2022, 127 advanced HCC patients were retrospectively analyzed in this study. This consisted of 44 patients that received camrelizumab plus TACE plus sorafenib or lenvatinib (triple therapy group) and 83 patients that received TACE plus sorafenib or lenvatinib (double treatment group). The overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR) were compared between the two patient groups.

RESULTS

Our findings demonstrated that patients received the triple therapy exhibited superior median OS (15.8 vs. 10.3 months, P=0.0011) and median PFS (7.2 vs. 5.2 months, P=0.019) compared to the double treatment group. In addition, the triple therapy group exhibited better 6-month (93.5% vs. 66.3%), 12-month (67.2% vs. 36.3%), and 24-month (17.2% vs. 7.6%) survival rates than the double treatment group. However, the ORR (43.2% vs. 28.9%, P = 0.106) and DCR (93.2% vs. 81.9%, P = 0.084) of the two groups were similar. Subgroup analysis showed that compared with the double treatment group, the triple therapy group had a better mOS for HCC with HBV (15.8 vs. 9.6 months, P = 0.0015) and tumor diameter ≥ 5cm (15.3 vs. 9.6 months, P = 0.00055).

CONCLUSIONS

Camrelizumab plus TACE and sorafenib or lenvatinib may be a promising treatment approach for the clinical management of unresectable HCC patients.

Significance and Priority of Surgical Resection as Therapeutic Strategy Based on Clinical Characteristics of Brain Metastases from Renal Cell Carcinoma

OBJECTIVE

To clarify a rational surgical priority, clinical characteristics were compared between brain metastases (BM) from renal cell carcinoma (RCC) and other cancers.

METHODS

We reviewed 425 consecutive patients with BM who underwent treatments including surgery between January 2014 and December 2022. Primary cancers included lung (n = 220), breast (n = 46), digestive (n = 65), RCC (n = 25), and others (n = 69). Tumor volume (T), edema volume (E), and edema volume/tumor volume ratio (E/T ratio) were compared between RCC and other primary cancers. Cutoff T values for identifying both symptomatic tumors and tumors suitable for surgery were determined by receiver operating characteristic curves. Factors including E/T ratio, age, Karnofsky Performance Scale score, and tumor characteristics were statistically analyzed.

RESULTS

Cutoff values of T and E to determine surgical suitability were 4.973 cm3 (sensitivity, 0.848; specificity, 0.74) and 23.088 cm3 (sensitivity, 0.894; specificity, 0.623), respectively. E/T ratio was significantly higher for RCC than for other cancers (P < 0.01). These results remained consistent after propensity score matching. RCC tended to show a significantly lower frequency of posterior fossa tumor (16%, P < 0.01) and higher rates of single lesions (72%, P = 0.03) and intratumoral hemorrhage (24%, P = 0.02). Subgroup analysis limited to surgical cases showed that E was consistent across tumors, T tended to be smaller, and E/T ratio was significantly higher in RCC.

CONCLUSIONS

Generally, symptomatic BM were indicated for surgery. BM from RCC were characteristically single, low-volume lesions with expanding edema and intratumoral hemorrhage, causing symptoms. These results suggest that surgery should be a high priority for BM from RCC.

Biomarkers for diagnosis and therapeutic options in hepatocellular carcinoma

Liver cancer is a global health challenge, causing a significant social-economic burden. Hepatocellular carcinoma (HCC) is the predominant type of primary liver cancer, which is highly heterogeneous in terms of molecular and cellular signatures. Early-stage or small tumors are typically treated with surgery or ablation. Currently, chemotherapies and immunotherapies are the best treatments for unresectable tumors or advanced HCC. However, drug response and acquired resistance are not predictable with the existing systematic guidelines regarding mutation patterns and molecular biomarkers, resulting in sub-optimal treatment outcomes for many patients with atypical molecular profiles. With advanced technological platforms, valuable information such as tumor genetic alterations, epigenetic data, and tumor microenvironments can be obtained from liquid biopsy. The inter- and intra-tumoral heterogeneity of HCC are illustrated, and these collective data provide solid evidence in the decision-making process of treatment regimens. This article reviews the current understanding of HCC detection methods and aims to update the development of HCC surveillance using liquid biopsy. Recent critical findings on the molecular basis, epigenetic profiles, circulating tumor cells, circulating DNAs, and omics studies are elaborated for HCC diagnosis. Besides, biomarkers related to the choice of therapeutic options are discussed. Some notable recent clinical trials working on targeted therapies are also highlighted. Insights are provided to translate the knowledge into potential biomarkers for detection and diagnosis, prognosis, treatment response, and drug resistance indicators in clinical practice.

SAFFRON-104: a phase Ib/II study of sitravatinib alone or with tislelizumab in advanced hepatocellular carcinoma and gastric cancer/gastroesophageal junction cancer

BACKGROUND

Sitravatinib is a spectrum-selective tyrosine kinase inhibitor targeting TAM (TYRO3, AXL, MER), VEGFR-2, KIT, and MET. SAFFRON-104 (NCT03941873) was a multicohort phase Ib/II study investigating sitravatinib with/without tislelizumab, an anti-programmed cell death protein 1 (PD-1) antibody, in patients with advanced hepatocellular carcinoma (HCC) or gastric cancer/gastroesophageal junction cancer (GC/GEJC).

METHODS

Eligible patients had histologically/cytologically confirmed advanced HCC or GC/GEJC. Phase I determined the recommended phase II dose (RP2D) of sitravatinib with/without tislelizumab. Phase II evaluated sitravatinib monotherapy in patients with pretreated HCC, and sitravatinib plus tislelizumab in anti-PD-(L)1-naïve or -treated HCC and anti-PD-(L)1-naïve GC/GEJC. Primary endpoints were safety/tolerability (phase I) and objective response rate (ORR) (phase II).

RESULTS

At data cutoff (March 31, 2023), 111 patients were enrolled; 102 were efficacy-evaluable (median study follow-up 9.1 months [range: 0.7-36.9]). The RP2D of sitravatinib was determined as 120 mg orally once daily. In patients receiving sitravatinib monotherapy and sitravatinib in combination with tislelizumab, grade ≥ 3 treatment-related adverse events occurred in 14 (51.9%) and 42 (50.0%) patients, respectively. The ORR was 25% (95% confidence interval [CI]: 8.7-49.1) in patients with pretreated HCC receiving sitravatinib monotherapy. In patients receiving sitravatinib with tislelizumab, the ORR was 11.5% (95% CI 2.4-30.2) with anti-PD-(L)1-naïve HCC, 9.5% (95% CI 1.2-30.4) with anti-PD-(L)1-treated HCC, and 16.1% (95% CI 5.5-33.7) in patients with anti-PD-(L)1-naïve GC/GEJC.

CONCLUSIONS

Sitravatinib with/without tislelizumab was generally well tolerated and showed preliminary antitumor activity in patients with advanced HCC and GC/GEJC.

Immunotherapy in liver cancer: overcoming the tolerogenic liver microenvironment

Liver cancer is a major global health concern, ranking among the top causes of cancer-related deaths worldwide. Despite advances in medical research, the prognosis for liver cancer remains poor, largely due to the inherent limitations of current therapies. Traditional treatments like surgery, radiation, and chemotherapy often fail to provide long-term remission and are associated with significant side effects. Immunotherapy has emerged as a promising avenue for cancer treatment, leveraging the body's immune system to target and destroy cancer cells. However, its application in liver cancer has been limited. One of the primary challenges is the liver's unique immune microenvironment, which can inhibit the effectiveness of immunotherapeutic agents. This immune microenvironment creates a barrier, leading to drug resistance and reducing the overall efficacy of treatment. Recent studies have focused on understanding the immunological landscape of liver cancer to develop strategies that can overcome these obstacles. By identifying the specific factors within the liver that contribute to immune suppression and drug resistance, researchers aim to enhance the effectiveness of immunotherapy. Prospective strategies include combining immunotherapy with other treatments, using targeted therapies to modulate the immune microenvironment, and developing new agents that can bypass or counteract the inhibitory mechanisms in the liver. These advancements hold promise for improving outcomes in liver cancer treatment.

Spatial genomics: mapping human steatotic liver disease

Metabolic dysfunction-associated steatotic liver disease (MASLD, formerly known as non-alcoholic fatty liver disease) is a leading cause of chronic liver disease worldwide. MASLD can progress to metabolic dysfunction-associated steatohepatitis (MASH, formerly known as non-alcoholic steatohepatitis) with subsequent liver cirrhosis and hepatocellular carcinoma formation. The advent of current technologies such as single-cell and single-nuclei RNA sequencing have transformed our understanding of the liver in homeostasis and disease. The next frontier is contextualizing this single-cell information in its native spatial orientation. This understanding will markedly accelerate discovery science in hepatology, resulting in a further step-change in our knowledge of liver biology and pathobiology. In this Review, we discuss up-to-date knowledge of MASLD development and progression and how the burgeoning field of spatial genomics is driving exciting new developments in our understanding of human liver disease pathogenesis and therapeutic target identification.

Downstaging with atezolizumab-bevacizumab: a case series

BACKGROUNDS/AIMS

Hepatocellular carcinoma (HCC) is generally diagnosed at an advanced stage, which limits curative treatment options for these patients. Locoregional therapy (LRT) is the standard approach to bridge and downstage unresectable HCC for liver transplantation (LT). Atezolizumab-bevacizumab (atezo-bev) can induce objective responses in nearly one-third of patients; however, the role and outcomes of downstaging using atezo-bev remains unknown.

METHODS

In this retrospective single-center study, we included consecutive patients between November 2020 and August 2023, who received atezo-bev with or without LRT and were subsequently considered for resection/LT after downstaging.

RESULTS

Of the 115 patients who received atezo-bev, 12 patients (10.4%) achieved complete or partial response and were willing to undergo LT; they (age, 58.5 years; women, 17%; Barcelona Clinic Liver Cancer stage system B/C, 5/7) had received 3-12 cycles of atezo- bev, and four of them had received prior LRT. Three patients died before LT, while three were awaiting LT. Six patients underwent curative therapies: four underwent living donor LT after a median of 79.5 days (range, 54-114) following the last atezo-bev dose, one underwent deceased donor LT 38 days after the last dose, and one underwent resection. All but one patient had complete pathologic response with no viable HCC. Three patients experienced wound healing complications, and one required re-exploration and succumbed to sepsis. After a median follow-up of 10 months (range, 4-30), none of the alive patients developed HCC recurrence or graft rejection.

CONCLUSIONS

Surgical therapy, including LT, is possible after atezo-bev therapy in well-selected patients after downstaging.

A new perspective on antiangiogenic antibody drug resistance: Biomarkers, mechanisms, and strategies in malignancies

Drug resistance of malignant tumor leads to disease progression be the bottleneck in clinical treatment. Antiangiogenic therapy, which aims to "starve" the tumor by inhibiting angiogenesis, is one of the key strategies in clinical oncology treatments. Recently, dozens of investigational antibody drugs and biosimilars targeting angiogenesis have obtained regulatory approval for the treatment of various malignancies. Moreover, a new generation of bispecific antibodies based on the principle of antiangiogenesis are being advanced for clinical trial to overcome antiangiogenic resistance in tumor treatment or enhance the efficacy of monotherapy. Tumors often develop resistance to antiangiogenesis therapy, presenting as refractory and sometimes even resistant to new therapies, for which there are currently no effective management strategies. Thus, a detailed understanding of the mechanisms mediating resistance to antiangiogenesis antibodies is crucial for improving drug effectiveness and achieving a durable response to antiangiogenic therapy. In this review, we provide a novel perspective on the tumor microenvironment, including antibody structure, tumor stroma, and changes within tumor cells, to analyze the multifactorial reasons underlying resistance to antiangiogenesis antibodies. The review also enumerates biomarkers that indicate resistance and potential strategies for monitoring resistance. Furthermore, based on recent clinical and preclinical studies, we summarize potential strategies and translational clinical trials aimed at overcoming resistance to antiangiogenesis antibodies. This review provides a valuable reference for researchers and clinical practitioners involved in the development of new drugs or therapeutic strategies to overcome antiangiogenesis antibodies resistance.

Bevacizumab induces ferroptosis and enhances CD8+ T cell immune activity in liver cancer via modulating HAT1 and increasing IL-9

Bevacizumab is a recombinant humanized monoclonal immunoglobulin (Ig) G1 antibody of VEGF, and inhibits angiogenesis and tumor growth in hepatocellular carcinoma (HCC). Ferroptosis, a new form of regulated cell death function independently of the apoptotic machinery, has been accepted as an attractive target for pharmacological intervention; the ferroptosis pathway can enhance cell immune activity of anti-PD1 immunotherapy in HCC. In this study we investigated whether and how bevacizumab regulated ferroptosis and immune activity in liver cancer. Firstly, we performed RNA-sequencing in bevacizumab-treated human liver cancer cell line HepG2 cells, and found that bevacizumab significantly altered the expression of a number of genes including VEGF, PI3K, HAT1, SLC7A11 and IL-9 in liver cancer, bevacizumab upregulated 37 ferroptosis-related drivers, and downregulated 17 ferroptosis-related suppressors in particular. We demonstrated that bevacizumab triggered ferroptosis in liver cancer cells by driving VEGF/PI3K/HAT1/SLC7A11 axis. Clinical data confirmed that the expression levels of VEGF were positively associated with those of PI3K, HAT1 and SLC7A11 in HCC tissues. Meanwhile, we found that bevacizumab enhanced immune cell activity in tumor immune-microenvironment. We identified that HAT1 up-regulated miR-143 targeting IL-9 mRNA 3'UTR in liver cancer cells; bevacizumab treatment resulted in the increase of IL-9 levels and its secretion via VEGF/PI3K/HAT1/miR-143/IL-9 axis, which led to the inhibition of tumor growth in vivo through increasing the release of IL-2 and Granzyme B from activated CD8+ T cells. We conclude that in addition to inhibiting angiogenesis, bevacizumab induces ferroptosis and enhances CD8+ T cell immune activity in liver cancer. This study provides new insight into the mechanisms by which bevacizumab synergistically modulates ferroptosis and CD8+ T cell immune activity in liver cancer.

Zanzalintinib (XL092): a next-generation tyrosine kinase inhibitor-comprehensive review of early safety & efficacy data

INTRODUCTION

Zanzalintinib (XL092) is a next-generation anti-VEGFR-related multi-targeted TKI that exhibits immunomodulatory effects.

AREAS COVERED

This review explores preclinical and clinical data, along with the future directions associated with zanzalintinib and its combination with immune checkpoint inhibitors (ICIs).

EXPERT OPINION

In addition to its anti-VEGFR activity, zanzalintinib demonstrates potential synergistic effects with ICIs through its immunomodulatory impact, attributed to its inhibition of MET and TAM kinases. Recent preclinical studies provide compelling evidence supporting this synergistic potential. Furthermore, a recent phase 1 dose escalation study confirmed the tolerability of the zanzalintinib and anti-PDL1 combination without major safety concerns.Multiple ongoing clinical trials are investigating the combination of zanzalintinib and ICIs across various solid tumor types, including phase 3 studies for renal cell carcinoma, colorectal, and head and neck cancer. These trials aim to elucidate the therapeutic role of this new-generation TKI and ICI combination.However, the identification of reliable predictive biomarkers for the zanzalintinib and ICI combination presents significant challenges. Given the intricate nature of their mechanistic rationale and the difficulties in identifying reliable biomarkers for combined anti-angiogenesis and ICI therapies, addressing this challenge remains a priority for ongoing and future research.

Recent developments in molecular targeted therapies for hepatocellular carcinoma in the genomic era

INTRODUCTION

Primary liver cancer is a major health problem being the sixth most frequent cancer in the world and the third cause of cancer-related death in the world. The most common histological type of liver cancer is hepatocellular carcinoma (HCC, 75-80%).

AREAS COVERED

Based on primary literature, this review provides an updated analysis of studies of genetic characterization of HCC at the level of gene mutation profiling, copy number alterations, and gene expression, with the definition of molecular subgroups and the identification of some molecular biomarkers and therapeutic targets. Recent therapeutic developments are also highlighted.

EXPERT OPINION

Deepening the understanding of the molecular complexity of HCC is progressively paving the way for the development of more personalized treatment approaches. Two important strategies involve the definition and validation of molecularly defined therapeutic targets in a subset of HCC patients and the identification of suitable biomarkers for approved systematic therapies (multikinase inhibitors and immunotherapies). The extensive molecular characterization of patients at the genomic and transcriptomic levels and the inclusion of detailed and relevant translational studies in clinical trials will represent a fundamental tool for improving the benefit of systemic therapies in HCC.

Clinical Outcomes and Histologic Findings of Patients With Hepatocellular Carcinoma With Durable Partial Response or Durable Stable Disease After Receiving Atezolizumab Plus Bevacizumab

PURPOSE

Durable partial response (PR) and durable stable disease (SD) are often seen in patients with hepatocellular carcinoma (HCC) receiving atezolizumab plus bevacizumab (atezo-bev). This study investigates the outcome of these patients and the histopathology of the residual tumors.

PATIENTS AND METHODS

The IMbrave150 study's atezo-bev group was analyzed. PR or SD per RECIST v1.1 lasting more than 6 months was defined as durable. For histologic analysis, a comparable real-world group of patients from Japan and Taiwan who had undergone resection of residual tumors after atezo-bev was investigated.

RESULTS

In the IMbrave150 study, 56 (77.8%) of the 72 PRs and 41 (28.5%) of the 144 SDs were considered durable. The median overall survival was not estimable for patients with durable PR and 23.7 months for those with durable SD. The median progression-free survival was 23.2 months for patients with durable PR and 13.2 months for those with durable SD. In the real-world setting, a total of 38 tumors were resected from 32 patients (23 PRs and nine SDs) receiving atezo-bev. Pathologic complete responses (PCRs) were more frequent in PR tumors than SD tumors (57.7% v 16.7%, P = .034). PCR rate correlated with time from atezo-bev initiation to resection and was 55.6% (5 of 9) for PR tumors resected beyond 8 months after starting atezo-bev, a time practically corresponding to the durable PR definition used for IMbrave150. We found no reliable radiologic features to predict PCR of the residual tumors.

CONCLUSION

Durable PR patients from the atezo-bev group showed a favorable outcome, which may be partly explained by the high rate of PCR lesions. Early recognition of PCR lesions may help subsequent treatment decision.

NLR stability predicts response to immune checkpoint inhibitors in advanced hepatocellular carcinoma

A high baseline NLR is associated with a poor prognosis of immunotherapy in patients with advanced HCC. As anti-tumour immune activation takes time, early dynamic changes in NLR may serve as a biomarker for predicting immunotherapy response. We conducted a retrospective study in which we enrolled 209 patients with aHCC who received ICIs (training cohort: N = 121, validation cohort: N = 88). In the training cohort, we categorized the patients based on the early changes in their NLR. Specifically, we defined patients as NLR Stable-Responder, NLR Responder and NLR Non-Responder. We compared the outcomes of these three patient groups using survival analysis. Additionally, we shortened the observation period to 6 weeks and validated the findings in the validation cohort. In the training cohort, early dynamic changes in NLR (HR 0.14, 95%CI 0.03-0.65, p = 0.012, HR 0.19, 95%CI 0.07-0.54, p = 0.002; HR 0.21, 95%CI 0.10-0.42, p < 0.001, HR 0.40, 95%CI 0.23-0.69, p = 0.001), PD-L1 < 1% (HR 5.36, 95%CI 1.12-25.66, p = 0.036; HR 2.98, 95%CI 1.51-5.91, p = 0.002) and MVI (HR 3.52, 95%CI 1.28-9.69, p = 0.015; HR 1.99, 95%CI 1.14-3.47, p = 0.015) were identified as independent predictors of OS and PFS. In the validation cohort, when the observation period was reduced to 6 weeks, early NLR changes still have predictive value. Early dynamic changes in NLR may be an easily defined, cost-effective, non-invasive biomarker to predict aHCC response to ICIs.

Integration of Clinical Trial Spatial Multiomics Analysis and Virtual Clinical Trials Enables Immunotherapy Response Prediction and Biomarker Discovery

Due to the lack of treatment options, there remains a need to advance new therapeutics in hepatocellular carcinoma (HCC). The traditional approach moves from initial molecular discovery through animal models to human trials to advance novel systemic therapies that improve treatment outcomes for patients with cancer. Computational methods that simulate tumors mathematically to describe cellular and molecular interactions are emerging as promising tools to simulate the impact of therapy entirely in silico, potentially greatly accelerating delivery of new therapeutics to patients. To facilitate the design of dosing regimens and identification of potential biomarkers for immunotherapy, we developed a new computational model to track tumor progression at the organ scale while capturing the spatial heterogeneity of the tumor in HCC. This computational model of spatial quantitative systems pharmacology was designed to simulate the effects of combination immunotherapy. The model was initiated using literature-derived parameter values and fitted to the specifics of HCC. Model validation was done through comparison with spatial multiomics data from a neoadjuvant HCC clinical trial combining anti-PD1 immunotherapy and a multitargeted tyrosine kinase inhibitor cabozantinib. Validation using spatial proteomics data from imaging mass cytometry demonstrated that closer proximity between CD8 T cells and macrophages correlated with nonresponse. We also compared the model output with Visium spatial transcriptomics profiling of samples from posttreatment tumor resections in the clinical trial and from another independent study of anti-PD1 monotherapy. Spatial transcriptomics data confirmed simulation results, suggesting the importance of spatial patterns of tumor vasculature and TGFβ in tumor and immune cell interactions. Our findings demonstrate that incorporating mathematical modeling and computer simulations with high-throughput spatial multiomics data provides a novel approach for patient outcome prediction and biomarker discovery. Significance: Incorporating mathematical modeling and computer simulations with high-throughput spatial multiomics data provides an effective approach for patient outcome prediction and biomarker discovery.

Exploring the role of the immune microenvironment in hepatocellular carcinoma: Implications for immunotherapy and drug resistance

Hepatocellular carcinoma (HCC), the most common type of liver tumor, is a leading cause of cancer-related deaths, and the incidence of liver cancer is still increasing worldwide. Curative hepatectomy or liver transplantation is only indicated for a small population of patients with early-stage HCC. However, most patients with HCC are not candidates for radical resection due to disease progression, leading to the choice of the conventional tyrosine kinase inhibitor drug sorafenib as first-line treatment. In the past few years, immunotherapy, mainly immune checkpoint inhibitors (ICIs), has revolutionized the clinical strategy for HCC. Combination therapy with ICIs has proven more effective than sorafenib, and clinical trials have been conducted to apply these therapies to patients. Despite significant progress in immunotherapy, the molecular mechanisms behind it remain unclear, and immune resistance is often challenging to overcome. Several studies have pointed out that the complex intercellular communication network in the immune microenvironment of HCC regulates tumor escape and drug resistance to immune response. This underscores the urgent need to analyze the immune microenvironment of HCC. This review describes the immunosuppressive cell populations in the immune microenvironment of HCC, as well as the related clinical trials, aiming to provide insights for the next generation of precision immunotherapy.

An Oxidative Stress-Related Prognostic Signature Predicts Treatment Response and Outcomes for Hepatocellular Carcinoma After Transarterial Chemoembolization

Purpose

Oxidative stress plays a critical role in promoting tumor resistance to hypoxia and chemotherapeutic drugs. However, the prognostic role of oxidative stress-related genes (OSRGs) in hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE) has not been fully explored.

Methods

We used transcriptome data from the GSE104580 cohort containing patients marked as responders or nonresponders to TACE therapy to identify differentially expressed OSRGs associated with TACE response (TR-OSRGs). We created a TR-OSRG prognostic signature based on TR-OSRGs using least absolute shrinkage and selection operator Cox and stepwise Cox regression analyses in a training cohort of patients with HCC (TCGA-LIHC). We verified this prognostic signature in two external cohorts of patients who received TACE for HCC (GSE14520-TACE and ZS-TACE-37). Finally, we constructed a prognostic nomogram model for predicting survival probability of patients with HCC based on Cox regression analysis.

Results

The TR-OSRG prognostic signature was created and shown to be a robust independent prognostic factor for treatment response and outcomes for HCC after TACE therapy. Risk scores based on this signature correlated with tumor stage and grade. Tumor samples from patients with higher risk scores exhibited more infiltration of immune cells and significantly increased expression of immune checkpoint genes. We also developed a nomogram for patients with HCC based on the TR-OSRG prognostic signature and clinical parameters; this nomogram was a useful quantitative analysis tool for predicting patient survival.

Conclusion

The TR-OSRGs signature exhibited good performance in predicting treatment response and outcomes in patients with HCC treated with TACE.

The crosstalk between cellular survival pressures and N6-methyladenosine modification in hepatocellular carcinoma

BACKGROUND

Within the tumor microenvironment, survival pressures are prevalent with potent drivers of tumor progression, angiogenesis, and therapeutic resistance. N6-methyladenosine (m6A) methylation has been recognized as a critical post-transcriptional mechanism regulating various aspects of mRNA metabolism. Understanding the intricate interplay between survival pressures and m6A modification provides new insights into the molecular mechanisms underlying hepatocellular carcinoma (HCC) progression and highlights the potential for targeting the survival pressures-m6A axis in HCC diagnosis and treatment.

DATA SOURCES

A literature search was conducted in PubMed, MEDLINE, and Web of Science for relevant articles published up to April 2024. The keywords used for the search included hepatocellular carcinoma, cellular survival, survival pressure, N6-methyladenosine, tumor microenvironment, stress response, and hypoxia.

RESULTS

This review delves into the multifaceted roles of survival pressures and m6A RNA methylation in HCC, highlighting how survival pressures modulate the m6A landscape, the impact of m6A modification on survival pressure-responsive gene expression, and the consequent effects on HCC cell survival, proliferation, metastasis, and resistance to treatment. Furthermore, we explored the therapeutic potential of targeting this crosstalk, proposing strategies that leverage the understanding of survival pressures and m6A RNA methylation mechanisms to develop novel, and more effective treatments for HCC.

CONCLUSIONS

The interplay between survival pressures and m6A RNA methylation emerges as a complex regulatory network that influences HCC pathogenesis and progression.

Predicting recurrent glioblastoma clinical outcome to immune checkpoint inhibition and low-dose bevacizumab with tumor in situ fluid circulating tumor DNA analysis

OBJECTIVE

Most recurrent glioblastoma (rGBM) patients do not benefit from immune checkpoint inhibition, emphasizing the necessity for response biomarkers. This study evaluates whether tumor in situ fluid (TISF) circulating tumor DNA (ctDNA) could serve as a biomarker for response to low-dose bevacizumab (Bev) plus anti-PD-1 therapy in rGBM patients, aiming to enhance systemic responses to immunotherapy.

METHODS

In this phase II trial, 32 GBM patients with first recurrence after standard therapy were enrolled and then received tislelizumab plus low-dose Bev each cycle. TISF samples were analyzed for ctDNA using a 551-gene panel before each treatment.

RESULTS

The median progression-free survival (mPFS) and overall survival (mOS) were 8.2 months (95% CI, 5.2-11.1) and 14.3 months (95% CI, 6.5-22.1), respectively. The 12-month OS was 43.8%, and the objective response rate was 56.3%. Patients with more than 20% reduction in the mutant allele fraction and tumor mutational burden after treatment were significantly associated with better prognosis compared to baseline TISF-ctDNA. Among detectable gene mutations, patients with MUC16 mutation, EGFR mutation & amplification, SRSF2 amplification, and H3F3B amplification were significantly associated with worse prognosis.

CONCLUSIONS

Low-dose Bev plus anti-PD-1 therapy significantly improves OS in rGBM patients, offering guiding significance for future individualized treatment strategies. TISF-ctDNA can monitor rGBM patients' response to combination therapy and guide treatment.

CLINICAL TRIAL REGISTRATION

This trial is registered with ClinicalTrials.gov, NCT05540275.

Cucurbitacin I exerts its anticancer effects by inducing cell cycle arrest via the KAT2a-ube2C/E2F1 pathway and inhibiting HepG2-induced macrophage M2 polarization

Hepatocellular carcinoma (HCC) is one of the most common malignancies globally, particularly prevalent in China, where it accounts for nearly half of the world's new cases and deaths each year, but has limited therapeutic options. This study systematically investigated the impact of cucurbitacin I on HCC cell lines including SK-Hep-1, Huh-7, and HepG2. The results revealed that cucurbitacin I not only inhibited cell proliferation, cell migration and colony formation, but also induced apoptosis in HCC cells. The apoptotic induction was accompanied by a decrease in the expression of the anti-apoptotic factor B-cell lymphoma 2 (Bcl2), and an elevation in the expression levels of pro-apoptotic factors, including tumor protein p53 (P53), bcl2 associated X-apoptosis regulator (Bax), and caspase3 (Cas3). Additionally, cucurbitacin I caused cell cycle arrest by modulating the lysine acetyltransferase 2A (KAT2A)-E2F transcription factor 1 (E2F1)/Ubiquitin-conjugating enzyme E2 C (UBE2C) signaling axis. In terms of regulation on tumor microenvironment, cucurbitacin I was demonstrated the ability to inhibit HCC cell-induced M2 polarization of macrophages. This comprehensive study unveils the multifaceted anti-cancer mechanisms of cucurbitacin I, providing robust support for its potential application in the treatment of HCC, offering new avenues for the future development of HCC treatment strategies.

The current status and future of targeted-immune combination for hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common cancers and the third leading cause of death worldwide. surgery, transarterial chemoembolization (TACE), systemic therapy, local ablation therapy, radiotherapy, and targeted drug therapy with agents such as sorafenib. However, the tumor microenvironment of liver cancer has a strong immunosuppressive effect. Therefore, new treatments for liver cancer are still necessary. Immune checkpoint molecules, such as programmed death-1 (PD-1), programmed death-ligand 1 (PD-L1), and cytotoxic T lymphocyte antigen-4 (CTLA-4), along with high levels of immunosuppressive cytokines, induce T cell inhibition and are key mechanisms of immune escape in HCC. Recently, immunotherapy based on immune checkpoint inhibitors (ICIs) as monotherapy or in combination with tyrosine kinase inhibitors, anti-angiogenesis drugs, chemotherapy agents, and topical therapies has offered great promise in the treatment of liver cancer. In this review, we discuss the latest advances in ICIs combined with targeted drugs (targeted-immune combination) and other targeted-immune combination regimens for the treatment of patients with advanced HCC (aHCC) or unresectable HCC (uHCC), and provide an outlook on future prospects. The literature reviewed spans the last five years and includes studies identified using keywords such as "hepatocellular carcinoma," "immune checkpoint inhibitors," "targeted therapy," "combination therapy," and "immunotherapy".

Safety/efficacy of atezolizumab + bevacizumab during anti-platelet/anticoagulation therapy in unresectable hepatocellular carcinoma

BACKGROUND AND AIMS

This study aimed to determine the safety and efficacy of atezolizumab + bevacizumab therapy in hepatocellular carcinoma patients receiving anti-platelet agents or anticoagulants.

METHODS

Patients were divided into those using (IM out) and those not using (IM in) anti-platelet agents or anticoagulants, who violated the exclusion criteria of the IMbrave150 trial, and were retrospectively examined.

RESULTS

The study included 185 patients (IM in: 157; IM out: 28). For first-line treatment, progression-free survival was 184 days for IM in and 266 days for IM out (p = .136). Overall survival was 603 days for IM in and not reached for IM out (p = .265), with no significant between-group difference. Similarly, there were no significant between-group differences in progression-free survival or overall survival for later-line treatment. Haemorrhagic adverse events of ≥grade 3 were observed in 11 IM in patients and 3 IM out patients. No significant factors associated with haemorrhagic adverse events of ≥grade 3 were identified in the multivariate analysis including IM out classification, whose p value was .547. Regarding thrombotic/embolic adverse events in the IM out group, one case of exacerbation of portal vein thrombosis was observed. No deaths were directly attributable to bleeding events or exacerbations of thrombosis.

CONCLUSION

Atezolizumab + bevacizumab therapy shows similar safety and efficacy in patients receiving and those not receiving anti-platelet agents or anticoagulants; therefore, it can be considered for patients with hepatocellular carcinoma receiving anti-platelet agents or anticoagulants.

The association between tumour heterogeneity and immune evasion mechanisms in hepatocellular carcinoma and its clinical implications

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality worldwide. The emergence of combination therapy, atezolizumab (anti-PDL1, immune checkpoint inhibitor) and bevacizumab (anti-VEGF) has revolutionised the management of HCC. Despite this breakthrough, the best overall response rate with first-line systemic therapy is only about 30%, owing to intra-tumoural heterogeneity, complex tumour microenvironment and the lack of predictive biomarkers. Many groups have attempted to classify HCC based on the immune microenvironment and have consistently observed better outcomes in immunologically "hot" HCC. We summarised possible mechanisms of tumour immune evasion based on the latest literature and the rationale for combination/sequential therapy to improve treatment response. Lastly, we proposed future strategies and therapies to overcome HCC immune evasion to further improve treatment outcomes of HCC.

Advances in hepatocellular carcinoma drug resistance models

Hepatocellular carcinoma (HCC) is the most common primary liver cancer. Surgery has been the major treatment method for HCC owing to HCC's poor sensitivity to radiotherapy and chemotherapy. However, its effectiveness is limited by postoperative tumour recurrence and metastasis. Systemic therapy is applied to eliminate postoperative residual tumour cells and improve the survival of patients with advanced HCC. Recently, the emergence of various novel targeted and immunotherapeutic drugs has significantly improved the prognosis of advanced HCC. However, targeted and immunological therapies may not always produce complete and long-lasting anti-tumour responses because of tumour heterogeneity and drug resistance. Traditional and patient-derived cell lines or animal models are used to investigate the drug resistance mechanisms of HCC and identify drugs that could reverse the resistance. This study comprehensively reviewed the established methods and applications of in-vivo and in-vitro HCC drug resistance models to further understand the resistance mechanisms in HCC treatment and provide a model basis for possible individualised therapy.