Immunotherapy For Hepatocellular Carcinoma Research Articles

Efferocytosis signatures as prognostic markers for revealing immune landscape and predicting immunotherapy response in hepatocellular carcinoma.

Background: Hepatocellular carcinoma (HCC) is a highly lethal liver cancer with late diagnosis; therefore, the identification of new early biomarkers could help reduce mortality. Efferocytosis, a process in which one cell engulfs another cell, including macrophages, dendritic cells, NK cells, etc., plays a complex role in tumorigenesis, sometimes promoting and sometimes inhibiting tumor development. However, the role of efferocytosis-related genes (ERGs) in HCC progression has been poorly studied, and their regulatory effects in HCC immunotherapy and drug targeting have not been reported. Methods: We downloaded efferocytosis-related genes from the Genecards database and screened for ERGs that showed significant expression changes between HCC and normal tissues and were associated with HCC prognosis. Machine learning algorithms were used to study prognostic gene features. CIBERSORT and pRRophetic R packages were used to evaluate the immune environment of HCC subtypes and predict treatment response. CCK-8 experiments conducted on HCC cells were used to assess the reliability of drug sensitivity prediction. Results: We constructed a prognostic prediction model composed of six genes, and the ROC curve showed good predictive accuracy of the risk model. In addition, two ERG-related subgroups in HCC showed significant differences in tumor immune landscape, immune response, and prognostic stratification. The CCK-8 experiment conducted on HCC cells confirmed the reliability of drug sensitivity prediction. Conclusion: Our study emphasizes the importance of efferocytosis in HCC progression. The risk model based on efferocytosis-related genes developed in our study provides a novel precision medicine approach for HCC patients, allowing clinicians to customize treatment plans based on unique patient characteristics. The results of our investigation carry noteworthy implications for the development of individualized treatment approaches involving immunotherapy and chemotherapy, thereby potentially facilitating the realization of personalized and more efficacious therapeutic interventions for HCC.

The Emerging Role of Metformin in the Treatment of Hepatocellular Carcinoma: Is There Any Value in Repurposing Metformin for HCC Immunotherapy?

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths worldwide. There has been significant progress in understanding the risk factors and epidemiology of HCC during the last few decades, resulting in efficient preventative, diagnostic and treatment strategies. Type 2 diabetes mellitus (T2DM) has been demonstrated to be a major risk factor for developing HCC. Metformin is a widely used hypoglycemic agent for patients with T2DM and has been shown to play a potentially beneficial role in improving the survival of patients with HCC. Experimental and clinical studies evaluating the outcomes of metformin as an antineoplastic drug in the setting of HCC were reviewed. Pre-clinical evidence suggests that metformin may enhance the antitumor effects of immune checkpoint inhibitors (ICIs) and reverse the effector T cells' exhaustion. However, there is still limited clinical evidence regarding the efficacy of metformin in combination with ICIs for the treatment of HCC. We appraised and analyzed in vitro and animal studies that aimed to elucidate the mechanisms of action of metformin, as well as clinical studies that assessed its impact on the survival of HCC patients.

CD38 marks the exhausted CD8+ tissue-resident memory T cells in hepatocellular carcinoma.

Despite recent advances in immunotherapy for hepatocellular carcinoma (HCC), the overall modest response rate underscores the need for a better understanding of the tumor microenvironment (TME) of HCC. We have previously shown that CD38 is widely expressed on tumor-infiltrating leukocytes (TILs), predominantly on CD3+ T cells and monocytes. However, its specific role in the HCC TME remains unclear. In this current study, we used cytometry time-of-flight (CyTOF), bulk RNA sequencing on sorted T cells, and single-cell RNA (scRNA) sequencing to interrogate expression of CD38 and its correlation with T cell exhaustion in HCC samples. We also employed multiplex immunohistochemistry (mIHC) for validating our findings. From CyTOF analysis, we compared the immune composition of CD38-expressing leukocytes in TILs, non-tumor tissue-infiltrating leukocytes (NIL), and peripheral blood mononuclear cells (PBMC). We identified CD8+ T cells as the dominant CD38-expressing TILs and found that CD38 expression was significantly higher in CD8+ TRM in TILs than in NILs. Furthermore, through transcriptomic analysis on sorted CD8+ TRM from HCC tumors, we observed a higher expression of CD38 along with T cell exhaustion genes, including PDCD1 and CTLA4, compared to the circulating memory CD8 T cells from PBMC. This was validated by scRNA sequencing that revealed co-expression of CD38 with PDCD1, CTLA4, and ITGAE (CD103) in T cells from HCC tumors. The protein co-expression of CD38 and PD-1 on CD8+ T cells was further demonstrated by mIHC on HCC FFPE tissues, marking CD38 as a T cell co-exhaustion marker in HCC. Lastly, the higher proportions of CD38+PD-1+ CD8+ T cells and CD38+PD-1+ TRM were significantly associated with the higher histopathological grades of HCC, indicating its role in the aggressiveness of the disease. Taken together, the concurrent expression of CD38 with exhaustion markers on CD8+ TRM underpins its role as a key marker of T cell exhaustion and a potential therapeutic target for restoring cytotoxic T cell function in HCC.

Nanodelivery of scutellarin induces immunogenic cell death for treating hepatocellular carcinoma

Hepatocellular carcinoma (HCC) causes the immunosuppressive tumor microenvironment (TME) resistant to current immunotherapy. The immunogenic apoptosis (currently termed immunogenic cell death, ICD) of cancer cells may induce the adaptive immunity against tumors, thereby providing great potential for treating HCC. In this study, we have confirmed the potential of scutellarin (SCU, a flavonoid found in Erigeron breviscapus) for triggering ICD in HCC cells. To facilitate in vivo application of SCU for HCC immunotherapy, an aminoethyl anisamide-targeted polyethylene glycol-modified poly(lactide-co-glycolide) (PLGA-PEG-AEAA) was produced to facilitate SCU delivery in this study. The resultant nanoformulation (PLGA-PEG-AEAA.SCU) remarkably promoted blood circulation and tumor delivery in the orthotopic HCC mouse model. Consequently, PLGA-PEG-AEAA.SCU reversed the immune suppressive TME and achieved the immunotherapeutic efficacy, resulting in significantly longer survival of mice, without inducing toxicity. These findings uncover the ICD potential of SCU and provide a promising strategy for HCC immunotherapy.

Identification of PANoptosis-Based Prognostic Signature for Predicting Efficacy of Immunotherapy and Chemotherapy in Hepatocellular Carcinoma.

PANoptosis has been a research hotspot, but the role of PANoptosis in hepatocellular carcinoma (HCC) remains widely unknown. Drug resistance and low response rate are the main limitations of chemotherapy and immunotherapy in HCC. Thus, construction of a prognostic signature to predict prognosis and recognize ideal patients for corresponding chemotherapy and immunotherapy is necessary. The mRNA expression data of HCC patients was collected from TCGA database. Through LASSO and Cox regression, we developed a prognostic signature based on PANoptosis-related genes. KM analysis and ROC curve were implemented to evaluate the prognostic efficacy of this signature, and ICGC and GEO database were used as external validation cohorts. The immune cell infiltration, immune status, and IC50 of chemotherapeutic drugs were compared among different risk subgroups. The relationships between the signature and the efficacy of ICI therapy, sorafenib treatment, and transcatheter arterial chemoembolization (TACE) therapy were investigated. A 3-gene prognostic signature was constructed which divided the patients into low- and high-risk subgroups. Low-risk patients had better prognosis, and the risk score was proved to be an independent predictor of overall survival (OS), which had a well predictive effect. Patients in high-risk population had more immunosuppressive cells (Tregs, M0 macrophages, and MDSCs), higher TIDE score and TP53 mutation rate, and elevated activity of base excision repair (BER) pathways. Patients with low risk benefited more from ICI, TACE, and sorafenib therapy. The predictive value of the risk score was comparable with TIDE and MSI for OS under ICI therapy. The risk score could be a biomarker to predict the response to ICI, TACE, and sorafenib therapy. The novel signature based on PANoptosis is a promising biomarker to distinguish the prognosis predict the benefit of ICI, TACE, and sorafenib therapy, and forecast the response to them.

Immunohistochemical scoring of LAG-3 in conjunction with CD8 in the tumor microenvironment predicts response to immunotherapy in hepatocellular carcinoma.

Immune checkpoint blockade (ICB) is a systemic therapeutic option for advanced hepatocellular carcinoma (HCC). However, low patient response rates necessitate the development of robust predictive biomarkers that identify individuals who will benefit from ICB. A 4-gene inflammatory signature, comprising CD8, PD-L1, LAG-3, and STAT1, was recently shown to be associated with a better overall response to ICB in various cancer types. Here, we examined whether tissue protein expression of CD8, PD-L1, LAG-3, and STAT1 predicts response to ICB in HCC. HCC samples from 191 Asian patients, comprising resection specimens from 124 patients (ICB-naïve) and pre-treatment specimens from 67 advanced HCC patients treated with ICB (ICB-treated), were analyzed for CD8, PD-L1, LAG-3, and STAT1 tissue expression using multiplex immunohistochemistry followed by statistical and survival analyses. Immunohistochemical and survival analyses of ICB-naïve samples showed that high LAG-3 expression was associated with shorter median progression-free survival (mPFS) and overall survival (mOS). Analysis of ICB-treated samples revealed that high proportions of LAG-3+ and LAG-3+CD8+ cells pre-treatment were most closely associated with longer mPFS and mOS. Using a log-likelihood model, adding the total LAG-3+ cell proportion to the total CD8+ cell proportion significantly increased the predictive values for mPFS and mOS, compared with the total CD8+ cell proportion alone. Moreover, levels of CD8 and STAT1, but not PD-L1, were significantly correlated with better responses to ICB. After analyzing viral-related and non-viral HCC samples separately, only the LAG3+CD8+ cell proportion was significantly associated with responses to ICB regardless of viral status. Immunohistochemical scoring of pre-treatment levels of LAG-3 and CD8 in the tumor microenvironment may help predict ICB benefits in HCC patients. Furthermore, immunohistochemistry-based techniques offer the advantage of being readily translatable in the clinical setting.

A Sodium Alginate-Based Multifunctional Nanoplatform for Synergistic Chemo-Immunotherapy of Hepatocellular Carcinoma.

Efficient hepatocellular carcinoma (HCC) treatment remains a significant challenge due tothe inherent limitations of traditional strategies. The exploration of polysaccharides' natural immunity for HCC immunotherapy is rarely explored. For this purpose, facile construction of a multifunctional nanoplatform, biotinylated aldehyde alginate-doxorubicin nano micelle (BEACNDOXM) is reported in this study for synergistic chemo-immunotherapy by using constant β-D-mannuronic acid (M) units and modulated α-L-guluronic acid (G) units in the alginate (ALG) structure. The M units show natural immunity and specific binding ability with mannose receptors (MRs) via strong receptor-ligand interactions, and the G units serve as highly reactive conjugation sites for biotin (Bio) and DOX. Therefore, this formulation not only integrates the natural immunity of ALG and the immunogenic cell death (ICD)triggering function of DOX, but also shows dual targeting properties to HCC cells via MRs and Bio receptors (BRs)-mediated endocytosis. Notably, BEACNDOXM mediates a tumor inhibitory efficiency 12.10% and 4.70% higher than free DOX and single targeting aldehyde alginate-doxorubicin nano micelle controls, respectively, at an equivalent DOX dose of 3 mg kg-1 in Hepa1-6 tumor-bearing mice. This study reports the first example of integrating the natural immunity of ALG and the ICD effect of anticancer drugsfor enhanced chemo-immunotherapy of HCC.

SAT-224 - Cytokine levels and circulating DNA profiling in plasma as biomarkers of response to immunotherapy in hepatocellular carcinoma

SAT-224 - Cytokine levels and circulating DNA profiling in plasma as biomarkers of response to immunotherapy in hepatocellular carcinoma

PVR expression in tumor microenvironment of advanced hepatocellular carcinoma.

e16113 Abstract Background: PVR (CD155)/TIGIT signaling has been investigated as a new immune checkpoint target in many cancers, including hepatocellular carcinoma (HCC). However, the expression and clinical significance of PVR, the ligand of TIGIT, have not been explored in the tumor microenvironment (TME) of advanced HCC. Methods: Patients with HCC who had adequate tumor tissues obtained at advanced stage were enrolled in the study. The membranous staining of PVR of tumor tissues, detected by immunohistochemistry (IHC), was semiquantitatively scored as IHC 0, 1, 2, or 3 if < 1%, ≥1% but < 5%, ≥5% but < 10%, or ≥10% of tumor cells (TCs) and tumor-infiltrating immune cells (ICs) were PVR positive. The correlation of PVR expressions and other clinic-pathologic factors was analyzed. Results: Sixty-seven patients were included in the study. Among them, 57 (85.1%) were male, 32 (47.8%) were aged over 60 years, 48 (71.6%) were HBV-reactive, and 23 (34.3%) had been treated with sorafenib before obtaining tumor tissues. Thirteen (19.4%) and 18 (26.9%) tumor samples showed positive PVR expressions in TCs and ICs, respectively (TCs, IHC 1/2/3: 3/3/7; ICs, IHC 1/2/3: 7/3/8). The expressions of PVR in TCs or ICs were not associated with sex, age, HBV/HCV infection, previous sorafenib treatment, or overall survival of the patients. Notably, in both TCs and ICs, the intensities of PVR expression were inversely correlated with PD-L1 expression for patients with at least IHC ≥1 in either PVR or PD-L1 (TCs, n = 26, r = -0.6966, p < 0.0001; ICs, n = 46, r = -0.4548, p = 0.0015). Conclusions: PVR expression can be identified in both TCs and ICs of TME of advanced HCC. The expressions of PVR and PD-L1 were inversely correlated. These findings may provide clinical implications for development of combination immunotherapy in advanced HCC. (This work is supported by grants from the Ministry of Science and Technology, Taiwan, MOST 110-2314-B-002-204-MY3). [Table: see text]

Comparison of T cell infiltration in hepatocellular carcinoma between whole exome and transcriptome sequencing data.

e16226 Background: Immunotherapy is one of the most promising therapeutics for hepatocellular carcinoma (HCC), and the immune infiltration status in tumors could be used as a biomarker for immunotherapy. However, evaluation of immune infiltration is usually based on RNA-Seq (transcriptome sequencing), which is limited in clinical practice due to the difficulty of handling RNA. On the other hand, WES (whole exome sequencing) is frequently performed to detect tumor mutations in cancer clinic. Therefore, we try to compare T cell infiltration in hepatocellular carcinoma obtained from WES data and RNA-Seq data, evaluate the potential of T cell infiltration from WES data as a biomarker for immunotherapy. Besides, we also evaluated the association of T cell fraction obtained from WES data and other clinical information. Methods: Seventy pairs of HCC tumor and matched normal tissue samples underwent both WES and RNA-Seq. T cell ExTRECT score and mcpCounter score were used to represent the immune infiltration status, and they were generated from WES data and RNA-Seq data respectively. Tumor mutational burden (TMB) score and some characteristics (tumor size, blood pressure, etc.) were also calculated for correlation analysis. Results: T cell ExTRECT score was positively correlated with mcpCounter score (Spearman correlation coefficient: 0.54). While TMB score showed no correlation with T cell ExTRECT score (Spearman correlation coefficient: -0.06) and mcpCounter score (Spearman correlation coefficient: -0.09). Besides, T cell ExTRECT score was negatively associated with main tumor size (Spearman correlation coefficient: -0.38) and High Blood Pressure (Spearman correlation coefficient: -0.37). Conclusions: These results suggest that T cell ExTRECT score obtained from WES and mcpCounter score generated by RNA-seq data is highly correlated, and neither of them is associated with TMB score. T cell ExTRECT score could be used to evaluate immune infiltration in hepatocellular carcinoma, and may serve as a biomarker for immunotherapy regardless of TMB score. Further investigation is still needed to evaluate the clinical outcome of immunotherapy for hepatocellular carcinoma with T cell ExTRECT score.

Afatinib combined with anti-PD1 enhances immunotherapy of hepatocellular carcinoma via ERBB2/STAT3/PD-L1 signaling.

Afatinib is mainly used to treat advanced non-small cell lung cancer, but its therapeutic effect on hepatocellular carcinoma is still unclear. Over 800 drugs were screened by CCK8 technology and afatinib was found to have a significant inhibitory effect on liver cancer cells. The expression of PDL1 in tumor cells treated with drugs were detected by qRT-PCR and Weston Blot experiments. The effects of afatinib on the growth, migration and invasion of HCC cells were evaluated using wound healing, Transwell, and cell cloning assays. The in vivo effects of afatinib in combination with anti-PD1 were evaluated in C57/BL6J mice with subcutaneous tumorigenesis. Bioinformatics analysis was performed to explore the specific mechanism of afatinib's inhibition of ERBB2 in improving the expression level of PD-L1, which was subsequently verified through experiments. Afatinib was found to have a significant inhibitory effect on liver cancer cells, as confirmed by in vitro experiments, which demonstrated that it could significantly suppress the growth, invasion and migration of HCC cells. qRT PCR and Weston Blot experiments also showed that Afatinib can enhance the expression of PD-L1 in tumor cells. In addition, in vitro experiments confirmed that afatinib can significantly enhance the immunotherapeutic effect of hepatocellular carcinoma. Afatinib's ability to increase PD-L1 expression is mediated by STAT3 activation following its action on HCC cells. Afatinib enhances PD-L1 expression in tumor cells through the STAT3/PD-L1 pathway. The combination of afatinib and anti-PD1 treatment significantly increases the immunotherapeutic effect of HCC.

HDAC inhibitors enhance the anti-tumor effect of immunotherapies in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC), the most common liver malignancy with a poor prognosis and increasing incidence, remains a serious health problem worldwide. Immunotherapy has been described as one of the ideal ways to treat HCC and is transforming patient management. However, the occurrence of immunotherapy resistance still prevents some patients from benefiting from current immunotherapies. Recent studies have shown that histone deacetylase inhibitors (HDACis) can enhance the efficacy of immunotherapy in a variety of tumors, including HCC. In this review, we present current knowledge and recent advances in immunotherapy-based and HDACi-based therapies for HCC. We highlight the fundamental dynamics of synergies between immunotherapies and HDACis, further detailing current efforts to translate this knowledge into clinical benefits. In addition, we explored the possibility of nano-based drug delivery system (NDDS) as a novel strategy to enhance HCC treatment.

Research progress of targeted therapy combined with immunotherapy for hepatocellular carcinoma.

Hepatocellular carcinoma is a common gastrointestinal malignancy with a high mortality rate and limited treatment options. Molecularly targeted drugs combined with immune checkpoint inhibitors have shown unique advantages over single-agent applications, significantly prolonging patient survival. This paper reviews the research progress of molecular-targeted drugs combined with immune checkpoint inhibitors in the treatment of hepatocellular carcinoma and discusses the effectiveness and safety of the combination of the two drugs to provide a reference for the further application of molecular-targeted drugs combined with immune checkpoint inhibitors in clinical practice.

Identifying a novel cuproptosis-related necroptosis gene subtype-related signature for predicting the prognosis, tumor microenvironment, and immunotherapy of hepatocellular carcinoma.

Background: Cuproptosis and necroptosis represent two distinct programmed cell death modalities implicated in neoplastic progression; however, the role of combining cuproptosis and necroptosis in hepatocellular carcinoma (HCC) remains to be elucidated. Methods: A total of 29 cuproptosis-related necroptosis genes (CRNGs) were identified, followed by an extensive analysis of their mutational characteristics, expression patterns, prognostic implications, and associations with the tumor microenvironment (TME). Subsequently, a CRNG subtype-related signature was developed, and its value of prognostic prediction, TME, and therapeutic responses in HCC were thoroughly investigated. Last, quantitative real-time PCR and Western blotting were employed for investigating the signature gene expression in 15 paired clinical tissue samples. Results: Two distinct CRNG subtypes were discerned, demonstrating associations between CRNG expression patterns, clinicopathological attributes, prognosis, and the TME. A CRNG subtype-related prognostic signature, subjected to external validation, was constructed, serving as an independent prognostic factor for HCC patients, indicating poor prognosis for high-risk individuals. Concurrently, the signature's correlations with an immune-suppressive TME, mutational features, stemness properties, immune checkpoint genes, chemoresistance-associated genes, and drug sensitivity were observed, signifying its utility in predicting treatment responses. Subsequently, highly accurate and clinically convenient nomograms were developed, and the signature genes were validated via quantitative real-time PCR and Western blotting, further substantiating the stability and dependability of the CRNG subtype-related prognostic signature. Conclusion: Overall, this investigation presented an extensive panorama of CRNGs and developed the CRNG subtype-related prognostic signature, which holds potential for implementation in personalized treatment strategies and prognostic forecasting for HCC patients.

Machine learning-based prognostic modeling of lysosome-related genes for predicting prognosis and immune status of patients with hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide. Lysosomes are organelles that play an important role in cancer progression by breaking down biomolecules. However, the molecular mechanisms of lysosome-related genes in HCC are not fully understood. We downloaded HCC datasets from TCGA and GEO as well as lysosome-related gene sets from AIMGO. After univariate Cox screening of the set of lysosome-associated genes differentially expressed in HCC and normal tissues, risk models were built by machine learning. Model effects were assessed using the concordance index (C-index), Kaplan-Meier (K-M) and receiver operating characteristic curves (ROC). Additionally, we explored the biological function and immune microenvironment between the high- and low-risk groups, and analyzed the response of the high- and low-risk groups to immunotherapy responsiveness and chemotherapeutic agents. Finally, we explored the function of a key gene (RAMP3) at the cellular level. Univariate Cox yielded 46 differentially and prognostically significant lysosome-related genes, and risk models were constructed using eight genes (RAMP3, GPLD1, FABP5, CD68, CSPG4, SORT1, CSPG5, CSF3R) derived from machine learning. The risk model was a better predictor of clinical outcomes, with the higher risk group having worse clinical outcomes. There were significant differences in biological function, immune microenvironment, and responsiveness to immunotherapy and drug sensitivity between the high and low-risk groups. Finally, we found that RAMP3 inhibited the proliferation, migration, and invasion of HCC cells and correlated with the sensitivity of HCC cells to Idarubicin. Lysosome-associated gene risk models built by machine learning can effectively predict patient prognosis and offer new prospects for chemotherapy and immunotherapy in HCC. In addition, cellular-level experiments suggest that RAMP3 may be a new target for the treatment of HCC.

Targeting of Annexin A1 in Tumor-associated Macrophages as a therapeutic strategy for hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a common aggressive, malignant tumor with limited treatment options. Currently, immunotherapies have low success rates in the treatment of HCC. Annexin A1 (ANXA1) is a protein related to inflammation, immunity and tumorigenesis. However, the role of ANXA1 in liver tumorigenesis remains unknown. Therefore, we sought to explore the feasibility of ANXA1 as a therapeutic target for HCC. Here, we analyzed ANXA1 expression and localization by HCC microarray and immunofluorescence experiments. Using an in vitro culture system, monocytic cell lines and primary macrophages were employed to investigate the biological functions of cocultured HCC cells and cocultured T cells. In vivo, Ac2-26, human recombinant ANXA1 (hrANXA1), and cell depletion (macrophages or CD8 + T cells) experiments were further conducted to investigate the role of ANXA1 in the tumor microenvironment (TME). We found that ANXA1 was overexpressed in mesenchymal cells, especially macrophages, in human liver cancer. Moreover, the expression of ANXA1 in mesenchymal cells was positively correlated with programmed death-ligand 1 expression. Knockdown of ANXA1 expression inhibited HCC cell proliferation and migration by increasing the M1/M2 macrophage ratio and promoting T-cell activation. hrANXA1 promoted malignant growth and metastasis in mice by increasing the infiltration and M2 polarization of tumor-associated macrophages (TAMs), generating an immunosuppressive TME and suppressing the antitumor CD8 + T-cell response. Together, our findings reveal that ANXA1 may be an independent prognostic factor for HCC and demonstrate the clinical translational significance of ANXA1 for tumor immunotherapy in HCC.

Current insights into the hepatic microenvironment and advances in immunotherapy for hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and shows high global incidence and mortality rates. The liver is an immune-tolerated organ with a specific immune microenvironment that causes traditional therapeutic approaches to HCC, such as chemotherapy, radiotherapy, and molecular targeted therapy, to have limited efficacy. The dramatic advances in immuno-oncology in the past few decades have modified the paradigm of cancer therapy, ushering in the era of immunotherapy. Currently, despite the rapid integration of cancer immunotherapy into clinical practice, some patients still show no response to treatment. Therefore, a rational approach is to target the tumor microenvironment when developing the next generation of immunotherapy. This review aims to provide insights into the hepatic immune microenvironment in HCC and summarize the mechanisms of action and clinical usage of immunotherapeutic options for HCC, including immune checkpoint blockade, adoptive therapy, cytokine therapy, vaccine therapy, and oncolytic virus-based therapy.

A recombinant oncolytic influenza virus expressing a PD-L1 antibody induces CD8+ T-cell activation via the cGas-STING pathway in mice with hepatocellular carcinoma

ObjectiveTo evaluate targeted killing of hepatocellular carcinoma (HCC) cells by a recombinant oncolytic influenza virus expressing a PD-L1 antibody (rgFlu/PD-L1) and to develop a novel immunotherapy for HCC. MethodsUsing influenza virus reverse genetics, a recombinant oncolytic virus was generated in the background of the A/Puerto Rico/8/34 (PR8) virus, then identified via screening and passage in specific pathogen-free chicken embryos. Hepatocellular carcinoma cell killing by rgFlu/PD-L1 was confirmed in vitro and in vivo. Transcriptome analyses were used to explore PD-L1 expression and function. Western blotting revealed that PD-L1 activated the cGas-STING pathway. ResultsrgFlu/PD-L1 expressed the PD-L1 heavy and light chain in PB1 and PA, respectively; PR8 served as the backbone. The hemagglutinin titer of rgFlu/PD-L1 was 29, and the virus titer was 9–10 logTCID50/mL. Electron microscopy revealed that the rgFlu/PD-L1 morphology and size were consistent with wild-type influenza virus. The MTS assay showed that rgFlu/PD-L1 induced significant killing of HCC cells but not normal cells. rgFlu/PD-L1 inhibited PD-L1 expression and induced apoptosis in HepG2 cells. Notably, rgFlu/PD-L1 controlled the viability and function of CD8+ T cells by activating the cGas-STING pathway. ConclusionrgFlu/PD-L1 activated the cGas-STING pathway in CD8+ T cells, causing them to kill HCC cells. This approach represents a novel immunotherapy for liver cancer.

The Role of TLR4 in the Immunotherapy of Hepatocellular Carcinoma: Can We Teach an Old Dog New Tricks?

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and is a leading cause of cancer-related death worldwide. Immunotherapy has emerged as the mainstay treatment option for unresectable HCC. Toll-like receptor 4 (TLR4) plays a crucial role in the innate immune response by recognizing and responding primarily to bacterial lipopolysaccharides. In addition to its role in the innate immune system, TLR4 has also been implicated in adaptive immunity, including specific anti-tumor immune responses. In particular, the TLR4 signaling pathway seems to be involved in the regulation of several cancer hallmarks, such as the continuous activation of cellular pathways that promote cell division and growth, the inhibition of programmed cell death, the promotion of several invasion and metastatic mechanisms, epithelial-to-mesenchymal transition, angiogenesis, drug resistance, and epigenetic modifications. Emerging evidence further suggests that TLR4 signaling holds promise as a potential immunotherapeutic target in HCC. The aim of this review was to explore the multilayer aspects of the TLR4 signaling pathway, regarding its role in liver diseases and HCC, as well as its potential utilization as an immunotherapy target for HCC.

A novel cuproptosis-related lncRNA signature predicts the prognosis and immunotherapy for hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most serious malignant tumors with a poor prognosis worldwide. Cuproptosis is a novel copper-dependent cell death form, involving mitochondrial respiration and lipoylated components of the tricarboxylic acid (TCA) cycle. Long non-coding RNAs (lncRNAs) have been demonstrated to affect the tumorigenesis, growth, and metastasis of HCC. We explored the potential roles of cuproptosis-related lncRNAs in predicting the prognosis for HCC. The RNA-seq transcriptome data, mutation data, and clinical information data of HCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. The least absolute shrinkage and selection operator (LASSO) algorithm and Cox regression analyses were performed to identify a prognostic cuproptosis-related lncRNA signature. The receiver operating characteristic (ROC) analysis was used to evaluate the predictive value of the lncRNA signature for HCC. The enrichment pathways, immune functions, immune cell infiltration, tumor mutation burden, and drug sensitivity were also analyzed. We constructed a prognostic model consisting of 8 cuproptosis-related lncRNAs for HCC. The patients were divided into high-risk group and low-risk group according to the riskscore calculated using the model. Kaplan-Meier analysis revealed that the high-risk lncRNA signature was correlated with poor overall survival [hazard ratio (HR) =1.009, 95% confidence interval (CI) = 1.002-1.015; p= 0.010)] of HCC. A prognostic nomogram incorporated the lncRNA signature and clinicopathological features were constructed and showed favorable performance for predicting prognosis of HCC patients. In addition, the most immune-related functions were significantly different between the high-risk and low-risk groups. Tumor mutation burden (TMB) and immune checkpoints were also expressed differently between the two risk groups. Finally, HCC patients with low-risk score were more sensitive to several chemotherapy drugs. The novel cuproptosis-related lncRNA signature could be used to predict prognosis and evaluate the effect of chemotherapy for HCC.