Chroogomphus rutilus (C. rutilus) is a traditional Chinese medicine recorded in the book Illustrations of Medicinal Fungi in China that possesses a long history of use for the treatment of various diseases, including cancer. Esculetin (ES), the primary pharmacologically active ingredient of C. rutilus, exerts significant therapeutic effects against liver cancer (LC). Nonetheless, the underlying therapeutic mechanisms of ES against LC remain poorly understood.

To investigate the mechanisms of ES in LC treatment.

ES was isolated and identified from C. rutilus. Subsequently, related targets and mechanism of ES against LC were predicted through network pharmacology and molecular docking. The antitumor effect of ES was examined using H22 tumor-bearing mouse models. The antitumor mechanism of ES was elucidated and validated using TUNEL, enzyme-linked immunosorbent assay (ELISA), immunofluorescence analysis, Western blot (WB), and quantitative real-time polymerase chain reaction (qPCR).

The chemical structure was determined using NMR carbon and hydrogen spectra. Network pharmacology analysis indicated that ES exerted anti-LC effects via the PI3K/AKT signaling pathway and associated proteins. TUNEL and ELISA revealed that ES exhibited an obvious antitumor effect in vivo and that the levels of TNF-α, IFN-γ, IL-2, and IL-6 were significantly increased. Immunofluorescence, WB, and qPCR analyses showed that ES upregulated the protein expression of Bax, caspase-3, and caspase-9 and downregulated the protein expression of Bcl-2, VEGF, and p-AKT.

This study demonstrates that the mechanisms of ES in LC treatment include enhancing immunity, inhibiting angiogenesis, and promoting apoptosis of tumor cells.

Cancer stem cells (CSCs) are strongly associated with the refractory characteristics of Hepatocellular carcinoma (HCC). However, the complex interaction between CSCs and the tumor microenvironment remains incompletely understood. In this study, we identified a novel long non-coding RNA (lncRNA) NEAT1 in cancer-associated fibroblast (CAFs)-derived extracellular vesicles (EVs) that play a critical role in the induction of CSCs and HCC tumorigenesis. NEAT1 was significantly overexpressed in human HCC tissues. Furthermore, high expression of lncRNA NEAT1 in EVs was found to be associated with poor prognosis. Knockdown of NEAT1 in CAFs inhibited invasion, migration, and tumor growth. Mechanistically, NEAT1 promoted cancer cell stemness, including 3D spheroid formation, by facilitating the liquid-liquid phase separation (LLPS) of the transcription factor YAP. Specifically, NEAT1 is directly bound to the intrinsic disordered region in the YAP protein, promoting the formation of LLPS biomolecular condensates. Additionally, a positive correlation between NEAT1 and Nanog was observed in clinical HCC tissues. In conclusion, our findings reveal that NEAT1 promotes HCC carcinogenesis and CSC induction by facilitating the LLPS of the YAP protein.

Hepatocellular carcinoma (HCC) is the sixth most prevalent malignancy worldwide, and represents a major global health challenge. While surgical resection at early stages offers favorable prognosis with 5-year survival rates exceeding 70%, the clinical reality in China reveals a contrasting scenario, where over 60% of patients present with advanced disease, resulting in a dramatic decline in 5-year survival to below 12.5%. The immunological landscape plays a pivotal role in HCC pathogenesis and progression, comprising two complementary arms: the innate immune system's rapid-response mechanism for immediate tumor surveillance and the adaptive immune system's antigen-specific targeting with immunological memory capabilities. Emerging evidence has highlighted ubiquitination, a sophisticated post-translational modification system, as a critical regulator of immune homeostasis in HCC pathogenesis. This molecular process exerts precise control through three primary mechanisms: (1) Modulation of immune cell activation thresholds via proteasomal degradation of signaling proteins, (2) Orchestrating immune cell differentiation through stability regulation of transcriptional factors, and (3) Maintenance of immune tolerance by dynamic modification of checkpoint regulators. Such multifaceted regulation affects both innate immune recognition pathways (e.g., NF-κB and STING signaling) and adaptive immune effectors (particularly T cell receptor signaling cascades). This comprehensive review establishes a threefold Objective: First, to elucidate the mechanistic interplay between ubiquitination networks and HCC-related immune dysregulation; Second, to systematically analyze how innate immune-associated ubiquitination events drive hepatocarcinogenesis through chronic inflammation modulation; and third, to critically evaluate recent clinical advances combining ubiquitination-targeted therapies (e.g., proteasome inhibitors and E3 ligase modulators) with immunotherapeutic regimens. Our synthesis revealed that strategic manipulation of ubiquitination pathways can potentiate PD-1/PD-L1 blockade efficacy while mitigating therapeutic resistance, particularly through modulation of tumor-associated macrophages and exhausted T cell populations. By integrating fundamental mechanistic insights with translational clinical data, this review provides a conceptual framework for the development of next-generation diagnostic biomarkers and rational therapeutic combinations. The proposed strategy of ubiquitination-immune axis modulation holds significant potential to transform current HCC management paradigms, offering new avenues for precision immunotherapy for this challenging malignancy.

Hepatocellular carcinoma (HCC) is the most prevalent type of liver cancer and a leading cause of cancer-related deaths globally. The tumour microenvironment (TME) influences treatment response and prognosis, yet its heterogeneity remains unclear.

The unsupervised machine learning methods- agglomerative hierarchical clustering, Multi-Omics Factor Analysis with K-means++, and an autoencoder with K-means++ - stratified patients using microarray data from HCC samples. Immune deconvolution algorithms estimated the proportions of infiltrating immune cells across identified clusters.

Thirteen genes were found to influence HCC subtyping in both primary and validation datasets, with three genes-TOP2A, DCN, and MT1E-showing significant associations with survival and recurrence. DCN, a known tumour suppressor, was significant across datasets and associated with improved survival, potentially by modulating the TME and promoting an anti-tumour immune response.

The discovery of the 13 conserved genes is an important step toward understanding HCC heterogeneity and the TME, potentially leading to the identification of more reliable biomarkers and therapeutic targets. We have stratified and validated the liver cancer populations. The findings suggest further research is needed to explore additional factors influencing the TME beyond gene expression, such as tumour microbiome and stromal cell interactions.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide. Tumor-associated macrophages (TAMs) are key components of the immunosuppressive tumor microenvironment and represent significant obstacles to effective immunotherapy. Phyllanthus emblica L. (PE), a medicinal plant traditionally used in Tibet, has shown therapeutic promise. This study investigates the effects of the tannin fraction of PE (PE-TF) on HCC and its ability to modulate the tumor immunosuppressive microenvironment.

We evaluated the antitumor efficacy of PE-TF using H22 xenografts and Hepa1-6 orthotopic mouse models. Transcriptomic analysis was performed to identify molecular targets underlying PE-TF suppression of HCC growth. Additionally, UPLC-MS/MS analysis identified the prototypic and metabolic components of PE-TF present in serum, tumor tissues, and adjacent normal liver tissues in the orthotopic HCC model.

PE-TF significantly suppressed tumor growth in both subcutaneous and orthotopic HCC models and promoted reprogramming of TAMs toward an antitumor M1 phenotype in vivo. Furthermore, PE-TF counteracted the protumoral effects mediated by bone marrow-derived macrophages (BMDMs) exposed to Hepa1-6-derived conditioned medium (HCM). Although TBH promoted macrophage M2 polarization, the reactive oxygen species (ROS)-scavenging activity of PE-TF effectively inhibited this process. Modulation of the tumor microenvironment by PE-TF-enhanced CD8+T cell infiltration and bolstered their antitumor response, as evidenced by increased transcription of perforin, IFN-γ, and IL-2. Transcriptomic analysis further revealed that T-cell receptor and cytotoxic T-cell signaling pathways are critical mediators of PE-TF' therapeutic effects. Moreover, we preliminarily characterized 79 components across serum, liver, and tumor tissues, and identified metabolic pathways for PE-TF ingredients-including methylation and glycosylation modifications of tumor-enriched constituents. Notably, seven components, such as corilagin and urolithin D, are hypothesized to possess immunomodulatory properties.

Our findings underscore the potential of PE-TF as an adjuvant immunotherapy for HCC. By scavenging ROS, PE-TF reverses the immunosuppressive M2-TAM phenotype and remodels the tumor microenvironment, thereby enhancing antitumor immunity. Additionally, integrating chemical and metabolic profiling offers a promising strategy for refining candidate selection in future drug discovery endeavors.

Hepatocellular carcinoma (HCC) is a type of highly heterogeneous tumor characterized by a high mortality rate and poor prognosis. Natural Killer cells (NK cells) are important immune cells that play an important role in anti-tumor activities, antiviral responses, and immune regulation. The relationship between NK cells and HCC remains unclear. It would be valuable to identify a NK-related prognostic signature for HCC. WGCNA and single-cell sequencing RNA were performed to identify NK cell related genes. Gene Enrichment Analysis were used to identify the potential signal pathway. After combing genes from WGCNA and scRNA, Unicox, LASSO + StepCox and Multicox analysis were used to filter prognostic-related gene and construct a prognostic model. Then we performed Proposed time analysis to identify the developmental trajectories of NK cells. Finally, ssGSEA and estimate methods were used to evaluate the immune microenvironment and sensitivity drugs. Using the scRNA-seq data, we identified 1396 genes with high NK cell scores. Based on the results of scRNA-seq, 250 NK-related genes were identified from WGCNA. We identified 223 intersecting genes between the scRNA-seq and WGCNA. After integrating clinical data with the bulk RNA-seq data of these intersecting genes, we constructed a prognostic model to accurately predict the prognosis of HCC patients. Eventually, we found that high-risk HCC patients exhibited worse survival outcomes and lower sensitivity to immunotherapy. We constructed a risk model based on NK cell-related genes that can predict the prognosis of HCC patients accurately. This model can also predict the immunotherapy response of HCC effectively.

Non-alcoholic steatohepatitis (NASH), a prominent driver of hepatocellular carcinoma (HCC) besides virus and alcohol, induces a series of complex liver structural and immune microenvironment changes, which make the early diagnosis and treatment of NASH-associated HCC (NASH-HCC) more challenging. This study aims to identify signature genes and explore the role of immune cell infiltration in NASH-HCC to improve early detection and prognosis assessment.

Differential gene and immune cell infiltration are important indicators for predicting the progress of oncology and responsiveness of tumor patients to immunotherapy, usually confirmed through biopsy tests with poor patient compliance. To obtain a highly correlated signature gene set and validate immune cell infiltration status, the GSE164760 and GSE102079 datasets from the Gene Expression Omnibus (GEO) database were analyzed using machine learning algorithms. Feature genes were identified based on differentially expressed genes and key modular genes identified by weighted gene co-expression network analysis (WGCNA). The signature genes were screened using the least absolute shrinkage and selection operator (LASSO), random forest, and support vector machine recursive feature elimination (SVM-RFE) machine learning algorithms. Subsequently, the signature genes were subjected to diagnostic efficacy tests, gene set enrichment analysis, immune cell infiltration assessment and real-time reverse transcription polymerase chain reaction (RT-qPCR) validation.

Six signature genes were identified, including C-C motif chemokine ligand 14 (CCL14), C-type lectin domain family 4 member G (CLEC4G), ficolin-2 (L-ficolin, FCN2), insulin-like growth factor binding protein 3 (IGFBP3), C-X-C motif chemokine ligand 14 (CXCL14), and vasoactive intestinal polypeptide type I receptor (VIPR1). The area under the receiver operating characteristic (ROC) curve for the six signature genes was between 0.927-0.958, and the calibration curves also indicated that they had high prediction accuracy. Six signature genes were positively associated with NASH pathological process pathways including butyric acid metabolism and fatty acid degradation. The infiltration of immune cells such as M2-type macrophages was significantly positively correlated with the signature genes. RT-qPCR revealed a significant decrease in the expression of CLEC4G and IGFBP3 in the NASH-HCC model.

CLEC4G and IGFBP3 hold potential as biomarkers for clinical surveillance, offering new insights for early detection and prognosis evaluation.

Liver cancer, also known as hepatocellular carcinoma (HCC), is one of the most prevalent and lethal malignancies in the world. The management of HCC depends on the underlying hepatic function and histological stage of the neoplasm, potentially encompassing locoregional therapies, surgical resection, hepatic transplantation, targeted drug therapies, and immunotherapy. However, the outlook for advanced HCC remains poor, with global 5-year survival rates below 15%. Consequently, it is imperative to identify novel tumor biomarkers for HCC prediction.

Multiple public databases were used to analyze PTBP2 expression, potential biological functions, and immune infiltration levels in HCC. In addition, immunohistochemical staining, phenotypic experiments, flow cytometry, and mouse subcutaneous tumors were used to verify the elevated PTBP2 expression and its oncogenic effect in HCC.

The expression of PTBP2 is abnormally high in liver cancer and promoted the occurrence and development of HCC.

Our study demonstrated that HCC tissues exhibited increased levels of PTBP2 expression compared to normal liver tissues. Elevated PTBP2 expression has been identified as closely linked to low survival in patients with HCC and could be a clinically independent prognostic factor. Additionally, PTBP2 may influence the development and forecasting of patients with HCC by altering the TME. Moreover, we confirmed the association between PTBP2 expression and HCC, both in vivo and in vitro.

Dendritic cells (DCs) are versatile professional antigen-presenting cells and play an instrumental role in the generation of antigen-specific T-cell responses. Modulation of DC function holds promise as an effective strategy to improve anti-tumor immunotherapy efficacy and enhance self-antigen tolerance in autoimmune diseases.

Wild-type (WT) and TLR2 knockout (KO) mice at 2 weeks of age were injected intraperitoneally (i.p.) with a single dose of diethylnitrosamine (DEN) to induce hepatocellular carcinoma (HCC). Four weeks later, WT and KO mice were randomly divided into control and treatment groups and treated once every two days for 30 weeks with phosphate buffered saline (PBS) and a mix of 4 TLR2-activating lactic acid-producing probiotics (LAP), respectively. Mice were euthanized after 30 weeks of LAP treatment and their liver tissues were collected for gene expression, histological, flow cytometric and single-cell RNA sequencing analyses.

We demonstrate here that oral administration of a mix of TLR2-activating LAP triggers a marked accumulation of regulatory DCs (rDCs) in the liver of mice. LAP-treated mice are protected from DEN-induced liver injury, fibrosis and HCC in a TLR2-dependent manner. Single-cell transcriptome profiling revealed that LAP treatment determines an immunosuppressive hepatic T-cell program that is characterized by a significantly reduced cytotoxic activity. The observed functional changes of T cells correlated well with the presence of a hepatic DC subset displaying a regulatory or tolerogenic transcriptional signature.

Overall, these data suggest that stimulation of regulatory dendritic cells (rDCs) in the liver by LAP suppresses cytotoxic T-cell function and alleviates DEN-induced liver damage, fibrosis and tumorigenesis.

Diagnostic and prognosis of hepatocellular carcinoma (HCC) remain major challenge in clinic. This study aimed to explore a gene signature for diagnosis and prognosis prediction of HCC followed by mechanism investigation. Differentially expressed genes (DEGs) in HCC were screened using TCGA. With specific formula, clinic features of prognosis associated DEGs were calculated to obtained a specific model followed by Kaplan-Meier analysis. Protein-protein interaction (PPI) were predicted using STRING and associations between hub gene and clinic features were analyzed using R software. The hub gene was silenced in HCC cell lines followed by cell behaviors analyses. A prognosis associated 14-gene model was identified in this study which could significantly distinguish samples into high-risk and low-risk groups. PBK, BUB1, NUF2, and CDCA8 were the key nodes involved in the 14 gene-coded PPI with high diagnostic values, and only PBK was an independent risk factor of disease specific survival (DSS) of HCC. Moreover, higher PBK was positively correlated with pathological and histological grades, higher AFP, and infiltrations of Th2, T helper cells and aDC of HCC, but negatively correlated with the killer immune cells. Dysregulated methylation might contribute to the higher expression of PBK and silencing PBK significantly suppressed the proliferation, growth, migration, and invasion of HCC cells. PBK, BUB1, NUF2, and CDCA8 played crucial role in prognosis associated 14-gene model with high diagnostic values. Methylation dysregulation-induced PBK accumulation might promote the development of HCC via modulating immune surveillance.

Liver cancer (LC) is a deadly malignancy with limited therapeutic options in recent years. Natural killer cell-derived exosomes (NK-exo), as an important bridge of information transmission between cells, also have a certain killing effect on tumor cells. On this basis, this study investigated the specific regulatory mechanism of NK-exo on LC cells.

NK-exo was collected by differential centrifugation. The diameter and size distribution were characterized by dynamic light scattering (DLS), respectively. Western Blot (WB) assay detected the expression levels of exosome marker protein, PD-L1, and PI3K-AKT-mTOR signal-related proteins. The effect of NK-exo treatment on LC cell viability was measured by the CCK-8. With the use of CFDA·SE, we assessed the proliferation ability of CD8+T cells in direct co-culture with LC cells. The content of cytokines secreted by CD8+T cells in each treatment group was determined by enzyme-linked immunosorbent assay (ELISA) kits. We employed flow cytometry to analyze the expression of PD-L1 protein on the surface of LC cells and CD8 level in mice tumor tissues.

CCK-8 assay demonstrated that NK-exo repressed the cell viability of LC cells. WB uncovered that the protein expressions of PD-L1, p-AKT, and p-mTOR in NK-exo treated LC cells were decreased, which was returned to the control level after the addition of PI3K agonist. When NK-exo-treated LC cells were directly co-cultivated with CD8+T cells, the proliferation ability and cytokine secretion content of T cells were considerably elevated, and the expression of PD-L1 on LC cell surface was considerably reduced. However, these effects were restored to control levels by PI3K agonists.The in vivo experiments also confirmed that NK-exo could effectively inhibit the progression of LC, and the PI3K agonist could restore this effect to the level of the control group.

This study provided the first evidence that exosomes derived from NK cells inhibited the PI3K-AKT-mTOR signaling pathway in LC cells, and reduced PD-L1 expression, thereby promoting tumor immunity. In comparison to traditional immune checkpoint inhibitors, NK-exo possessed unique mechanisms of action and potential advantages. NK-exo holds the promise of becoming an innovative immunotherapy for the treatment of LC.

Proliferative hepatocellular carcinoma (HCC) is an aggressive phenotype associated with unfavorable clinical outcomes. Predicting the preoperative subtype of HCC can aid in the development of individualized treatment. We retrospectively recruited 180 HCC patients who underwent hepatic resection and established a CT-based radiomics model for predicting proliferative HCCs. The evaluation of tumor response to transarterial chemoembolization therapy and progression-free survival (PFS) according to the radiomics model was further performed in internal (n = 54) and external (n = 80) outcome cohorts. In our study, 98 of 180 (54%) patients were confirmed to have proliferative HCCs. The radiomics model comprising 9 radiomic features and exhibited good performance for predicting proliferative HCCs. The nomogram integrated radiomics and serum α-fetoprotein level showed good calibration and discrimination in both the training cohort (AUC = 0.848) and the validation cohort (AUC = 0.825). Predicted proliferative HCCs (high radiomics scores) were associated with lower response rate (P < 0.05) and worse PFS (P < 0.05) compared to predicted non-proliferative HCCs in outcomes cohorts. We linked radiomics model to gene expression, unveiling that activated/immature B cells and tertiary lymphoid structures were downregulated in the high radiomics group. The proposed CT radiomics model exhibited good performance for identifying proliferative HCCs, which may facilitate clinical decision-making. Our findings suggest a potential correlation between proliferative HCC and immunosuppressive tumor microenvironment.

This study aims to investigate the mechanism of action of arsenic-based agents against hepatocellular carcinoma (HCC) and to identify effective drug targets for HCC treatment.

Huh7 and HepG2 cells treated with NaAsO2 were assessed for cell viability, pyroptosis, migration, and invasion after undergoing lentiviral transfection. An orthotopic liver tumor model was established and divided into a model group and a treatment group. Proteins associated with QRICH1, PRMT1, cGAS-STING, and the classical pyroptosis pathway were quantified using Western blotting. The intracellular expression and localization of PRMT1 and NLRP3 in HCC were analyzed through cellular immunofluorescence. Co-immunoprecipitation (Co-IP) was performed to examine the protein interactions between PRMT1 and cGAS, as well as between STING and NLRP3. Chromatin immunoprecipitation (ChIP) was used to confirm QRICH1 enrichment in the PRMT1 promoter region.

NaAsO2 treatment significantly inhibited the proliferation of Huh7 and HepG2 cells and effectively blocked their migration and invasion capabilities, while promoting cellular pyroptosis. Quantitative polymerase chain reaction(QRCR) and ChIP assays confirmed that NaAsO2 regulates PRMT1 expression by down-regulate QRICH1 binding in the PRMT1 promoter region. Additionally, NaAsO2 decreased the expression of the QRICH1-PRMT1 complex and upregulated the cGAS-STING signaling pathway, activating the downstream NLRP3-dependent classical pyroptosis pathway. Overexpression of QRICH1 reversed these effects.

NaAsO2 inhibits the expression of the QRICH1-PRMT1 axis, activates cGAS-STING signaling pathway transduction, and induces pyroptosis in HCC cells, thereby increasing the infiltration of immune cells in liver cancer tissues.

Hepatocellular carcinoma (HCC) is among the leading causes of cancer-related death worldwide. The primary therapies for HCC are liver transplantation, hepatic tumor excision, radiofrequency ablation, and molecular-targeted medicines. An unfavorable prognosis marks HCC and has limited pharmacological response in therapeutic studies. The tumor immune microenvironment (TME) imposes significant selection pressure on HCC, resulting in its evolution and recurrence after various treatments. As the principal cellular constituents of tumor-infiltrating lymphocytes (TILs), T cells have shown both anti-tumor and protumor actions in HCC. T cell-mediated immune responses are pivotal in cancer monitoring and elimination. TILs are recognized for their critical involvement in the progression, prognosis, and immunotherapeutic management of HCC. Foxp3 + , CD8 + , CD3 + , and CD4 + T cells are the extensively researched subtypes of TILs. This article examines the functions and processes of several subtypes of TILs in HCC. Emerging T cell-based therapies, including TILs and chimeric antigen receptor (CAR)-T cell therapy, have shown tumor regression in several clinical and preclinical studies. Herein, it also delves into the existing T cell-based immunotherapies in HCC, with emphasis on TILs and CAR-T cells.

Hepatocellular carcinoma (HCC) is a leading cause of cancer death that has limited treatment options for advanced stages. Although PD-1 inhibitors such as nivolumab and pembrolizumab have been approved for advanced HCC treatment, their effectiveness is often hampered by the immunosuppressive tumor microenvironment (TME), which is due to hypoxia-driven CXCL12/CXCR4 axis activation. In this study, we developed 807-NPs, lipid-coated tannic acid (TA) nanoparticles that encapsulate BPRCX807, a potent CXCR4 antagonist to target HCC. 807-NPs enhance the pharmacokinetics and improve the tumor availability of BPRCX807 without causing systemic toxicity. Our findings show that 807-NPs block the CXCR4/CXCL12 pathway, inhibiting Akt and mTOR activation in HCC cells and M2 macrophages and promoting their repolarization toward the antitumor M1 phenotype. In orthotopic murine HCC models, systemic administration of 807-NPs significantly remodeled the immunosuppressive TME by reprogramming tumor-associated macrophages (TAMs) toward an immunostimulatory phenotype and promoting cytotoxic T-cell infiltration into tumors. This led to suppressed primary tumor growth and metastasis, while enhancing the efficacy of cancer immunotherapies, including PD-1 blockade and whole-cancer cell vaccines, by promoting T-cell activation. Our work demonstrates the potential of using nanotechnology to deliver CXCR4 antagonists for cancer immunotherapy.

Moutan cortex has demonstrated antitumor properties attributed to its bioactive compound Paeoniflorigenone (PA). Nevertheless, there is limited research on the efficacy of PA in the prevention and treatment of hepatocellular carcinoma (HCC). We aimed to investigate the potential pharmacological mechanisms of PA in the treatment of Aflatoxin B1 (AFB1)-induced hepatocarcinogenesis using network pharmacology and bioinformatics analysis approaches. Through various databases and bioinformatics analysis approaches, 34 shared targets were identified as potential candidate genes for PA in fighting liver cancer caused by AFB1. Pathway analysis revealed involvement in cell cycle, HIF-1, and Rap1 pathways. A risk assessment model was developed using LASSO regression, showing an association between the identified genes and the tumor immune microenvironment. The genes within the risk model were found to be linked to the immune response in liver cancer. Molecular docking studies indicated that PA interacts with its targets through hydrogen bonding and hydrophobic interactions. This study provides insights into the possible mechanisms of PA in liver cancer treatment and offers a predictive model for assessing the risk level of individuals with liver cancer. These findings have significant implications for the therapeutic strategies in managing liver cancer patients.

Hepatocellular carcinoma (HCC) is one of the most prevalent and aggressive forms of liver cancer, with high morbidity and poor prognosis due to late diagnosis and limited treatment options. Despite advances in understanding its molecular mechanisms, effective biomarkers for early detection and targeted therapy remain scarce. Zinc finger protein 71 (ZNF71), a zinc-finger protein, has been implicated in various cancers, yet its role in HCC remains largely unexplored. This gap in knowledge underscores the need for further investigation into the ZNF71 of potential as a diagnostic or therapeutic target in HCC.

To explore the expression levels, clinical relevance, and molecular mechanisms of ZNF71 in the progression of HCC.

The study evaluated ZNF71 expression in 235 HCC specimens and 13 noncancerous liver tissue samples using immunohistochemistry. High-throughput datasets were employed to assess the differential expression of ZNF71 in HCC and its association with clinical and pathological features. The impact of ZNF71 on HCC cell line growth was examined through clustered regularly interspaced short palindromic repeat knockout screens. Co-expressed genes were identified and analyzed for enrichment using LinkedOmics and Sangerbox 3.0, focusing on significant correlations (P < 0.01, correlation coefficient ≥ 0.3). Furthermore, the relationship between ZNF71 expression and immune cell infiltration was quantified using TIMER2.0.

ZNF71 showed higher expression in HCC tissues vs non-tumorous tissues, with a significant statistical difference (P < 0.05). Data from the UALCAN platform indicated increased ZNF71 levels across early to mid-stage HCC, correlating with disease severity (P < 0.05). High-throughput analysis presented a standardized mean difference in ZNF71 expression of 0.55 (95% confidence interval [CI]: 0.34-0.75). The efficiency of ZNF71 mRNA was evaluated, yielding an area under the curve of 0.78 (95%CI: 0.75-0.82), a sensitivity of 0.63 (95%CI: 0.53-0.72), and a specificity of 0.82 (95%CI: 0.73-0.89). Diagnostic likelihood ratios were positive at 3.61 (95%CI: 2.41-5.41) and negative at 0.45 (95%CI: 0.36-0.56). LinkedOmics analysis identified strong positive correlations of ZNF71 with genes such as ZNF470, ZNF256, and ZNF285. Pathway enrichment analyses highlighted associations with herpes simplex virus type 1 infection, the cell cycle, and DNA replication. Negative correlations involved metabolic pathways, peroxisomes, and fatty acid degradation. TIMER2.0 analysis demonstrated positive correlations of high ZNF71 expression with various immune cell types, including CD4+ T cells, B cells, regulatory T cells, monocytes, macrophages, and myeloid dendritic cells.

ZNF71 is significantly upregulated in HCC, correlating with the disease's clinical and pathological stages. It appears to promote HCC progression through mechanisms involving the cell cycle and metabolism and is associated with immune cell infiltration. These findings suggest that ZNF71 could be a novel target for diagnosing and treating HCC.

Hepatocellular carcinoma (HCC) is one of the most prevalent cancers, characterized by high morbidity and mortality rates. Recently, immunotherapy has emerged as a crucial treatment modality for HCC, following surgery, locoregional therapies, and targeted therapies. This approach harnesses the body's immune system to target and eliminate cancer cells, potentially resulting in durable antitumor responses. However, acquired resistance and the tumor immunosuppressive microenvironment (TIME) significantly hinder its clinical application. Recently, advancements in nanotechnology, coupled with a deeper understanding of cancer biology and nano-biological interactions, have led to the development of various nanoparticles aimed at enhancing therapeutic efficacy through specific targeting of tumor tissues. These nanoparticles increase the accumulation of immunotherapeutic drugs within the tumor microenvironment, thereby transforming the TIME. In this review, we provide a concise overview of the fundamental principles governing the TIME landscape in HCC and discuss the rationale for and applications of nanoparticles in this context. Additionally, we highlight existing challenges and potential opportunities for the clinical translation of cancer nanomedicines.

Preclinical studies have demonstrated that carvacrol possesses various biological and pharmacological properties, including anti-hepatocellular carcinoma (HCC) effects. However, the molecular basis of its therapeutic action on HCC remains unclear.

The aim of this study was to investigate and further validate the multi-target therapeutic mechanism of carvacrol against HCC.

The chemical structure of carvacrol was obtained from the PubChem database, and its potential targets were identified using SwissTargetPrediction, HERB, and BATMAN-TCM. HCC-specific genes were screened from the TCGA-LIHC cohort. The therapeutic targets of carvacrol against HCC were determined through the intersection of these datasets. Subsequently, a multivariate Cox regression prognostic model was established. Molecular docking was performed to analyze the interactions between carvacrol and its therapeutic targets. Additionally, molecular dynamics simulations were conducted to validate the molecular docking results using Discovery Studio 2019 software.

A total of 223 carvacrol targets and 882 HCC-specific genes were identified. Fifteen therapeutic targets of carvacrol against HCC were obtained, including CA2, AR, ALB, AURKA, ALPL, EPHX2, BCHE, IL1RN, AGRN, CRP, DMGDH, APOA1, SOX9, HPX, and CHKA. The prognostic model accurately and independently predicted survival outcomes. AGRN and AURKA were significantly associated with HCC overall survival. Molecular docking and molecular dynamics simulations demonstrated that carvacrol exhibited strong potential for stable binding to the therapeutic targets AGRN and AURKA.

Our findings elucidate the multi-target mechanism of action of carvacrol against HCC, providing a foundation for future research on its application in HCC management.

Understanding the molecular mechanisms of adaptive regulation in the tumor microenvironment is crucial for precision therapy in hepatocellular carcinoma (HCC). We hypothesized that cargo proteins carried by extracellular vesicles (EVs) released in a hypoxic microenvironment might promote HCC progression by remodeling tumor-associated macrophages (TAMs).

EV protein analysis by label-free proteomics mass spectrometry of HCC cell lines of different tumor grades was performed. The promotional effect if spermidine synthase（SRM） on M2 polarized TAMs was further investigated using various biological approaches.

SRM expression was positively correlated with liver cancer progression in HCC cell lines, liver cancer samples, and nude mouse models. In a mouse model, SRM expression was positively correlated with TAM infiltration and liver cancer progression. Pan-cancer dataset analysis confirmed that SRM overexpression in HCC tumors is correlated with poor patient prognosis. However, a hypoxic microenvironment is an internal driving factor for exosomal SRM that participates in microenvironmental modifications. Moreover, we defined a hitherto unknown pattern of microenvironmental crosstalk involving SRM in EVs, whereby macrophages complete the phenotypic fate of M2 tumor-associated macrophages through SRM uptake.

SRM regulation within the immune microenvironment is metabolically driven. By upregulating spermidine, which serves as a substrate for eIF5A hypusination, excessive oxidative phosphorylation (OXPHOS) assembly is achieved. This, in turn, leads to the expression of immunosuppressive marker molecules and ultimately promotes liver cancer progression. SRM, which is enriched in the EVs of HCC cells under hypoxic conditions, acts as a potent regulator linking polyamine and energy metabolism in TAMs, thereby promoting liver cancer progression.

5-Methylcytosine (m5C) is a ubiquitous RNA modification that is closely related to various cellular functions. However, no studies have comprehensively demonstrated the role of m5C in hepatocellular carcinoma (HCC) progression. In this study, six pairs of HCC and adjacent tissue samples were subjected to methylated RNA immunoprecipitation sequencing to identify precise m5C loci. Non-negative matrix factorization (NMF) was used to identify HCC subtypes in TCGA-LIHC cohort. Immune, metabolic, and tumor-related pathways in HCC subtypes with differences in methylation status were analyzed and a prognostic model based on m5C-related genes was constructed. Finally, using RIP and molecular interaction analysis, we demonstrated that YBX1 binds to TPM3 in an m5C dependent manner and regulates HCC progression. Widespread m5C sites were identified and found to be differentially distributed in HCC compared with adjacent tissues. Metabolic processes were inhibited in hypermethylated HCC, whereas immune checkpoint and multiple classical tumor pathways were significantly upregulated. More importantly, we have identified an m5C dependent regulatory axis. The m5C reader YBX1 binds to TPM3 in an M5C dependent manner and promotes the progression of hepatocellular carcinoma. These results provide new evidence for further understanding the comprehensive role of m5C in HCC and the regulatory mechanism of m5C.

Hepatocellular carcinoma (HCC) progression is closely linked to the role of macrophages. This study utilized single-cell RNA sequencing and genomic analysis to explore the characteristic genes of macrophages in HCC and their impact on patient prognosis. We obtained single-cell se-quencing data from seven HCC samples in the GEO database. Through principal component analysis and t-SNE dimensionality reduction, we identified 2,000 highly variable genes and per-formed clustering and annotation of 17 cell clusters, revealing 482 macrophage-related feature genes. A LASSO regression model based on these genes was developed to predict the prognosis of HCC patients, with validation in the TCGA-LIHC cohort demonstrating model accuracy (AUC = 0.78, 0.72, 0.71 for 1-, 3-, and 5-year survival rates, respectively). Additionally, patients in the high-risk group exhibited elevated tumor stemness scores, although no significant differences were observed in microsatellite instability (MSI) and tumor mutational burden (TMB) scores. Immune-related analyses revealed that FCER1G expression was downregulated in HCC and was associated with key pathways such as apoptosis and ferroptosis. Reduced FCER1G expression significantly affected HCC cell proliferation and migration. Our prognostic model provides new insights into precision and immunotherapy for HCC and holds significant implications for future clinical applications.

Beaveria bassiana (Balsamo) Vuillemin (BEA) and cinnamaldehyde (CA), primarily derived from traditional Chinese medicine (TCM) named Bombyx batryticatus and Cinnamomum cassia, play an immunomodulatory role in different disease.

Hepatocellular carcinoma (HCC) is a prevalent malignant tumor characterized by immune dysfunction. In this study, we investigated BEA and CA's regulate ability on T cell mitochondrial metabolism and anti-HCC effect.

We used RT-qPCR, Western blot, Enzyme-linked immune sorbent assay (ELISA), Flow CytoMetry (FCM) methods to examine BEA and CA's regulation of T cell mitochondrial function and anti-HCC ability. Furthermore, the mechanism of PGC-1α/DRP1 pathway on the morphology and function of T cell mitochondria was investigated.

Our data demonstrated that the administration of BEA and CA, either alone or in combination, effectively suppressed HCC growth and mitigated T cell apoptosis and mitochondrial dysfunction, assessed by mitochondrial reactive oxygen species (mitoROS), mitochondrial membrane potential (MMP) and ATP level. Moreover, BEA and CA could enhance the release of tumor-killing factors (Perforin (PF) and Granzyme B (Gzm B)) from T cells, inducing H22 cell apoptosis. Additionally, BEA and CA-treated T cell reinfusion into BALB/c nude HCC mice could significantly inhibited HCC growth by promoting T cell infiltration into tumor tissue. T cell mitochondrial biogenesis/fission balance and apoptosis in tumor mice were regulated by PGC-1α/DRP1 pathway.

Our findings reveal that BEA and CA enhance anti-HCC effects of T cells by regulating mitochondrial biogenesis and fission through the PGC-1α/DRP1 pathway.

Background: Hepatocellular carcinoma (HCC) is a common malignant tumor and has a poor prognosis. Minichromosome maintenance 3 (MCM3) protein is upregulated in several cancers, but the biological function, molecular mechanisms and the relationship with tumor immunity of MCM3 in HCC remain poorly understood. Methods: The expression levels and prognosis role of MCM3 in HCC were analyzed based on TCGA, GEO and LIHC databases, and 40 paired tissue samples. We conducted Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses on these DEGs to explore the potential impact of MCM3 on the biological behavior of HCC. In addition, flow cytometry, CCK-8, EdU, colony formation and nude mice xenograft models were employed to investigate the biological functions of MCM3. Furthermore, immune cell infiltration, markers and checkpoint-associated genes were analyzed by TIMER 2.0, ACLBI and TCGA database. Results: In this study, we investigated the expression and function of MCM3 in HCC. MCM3 was highly expressed in a variety of tumors including HCC, and high MCM3 expression was positively associated with various clinicopathological parameters and acted as an independent factor of the poor prognosis for overall survival in HCC. Meanwhile, immune characteristics analysis indicated that high MCM3 expression was related to the level of immune cell infiltration and immune checkpoints in HCC. Our functional enrichment analysis indicated that MCM3 is mainly involved in the cell cycle and cell metabolic related pathways. Moreover, in vitro and in vivo experiments further confirmed that MCM3 could promote the proliferation of HCC by regulating cell cycle progression. Conclusions: Our results indicated that MCM3 was up-regulated in HCC and might become a biomarker in the diagnosis and treatment of patients with HCC.

Serine arginine-rich splicing factor 1 (SRSF1) is a key oncogenic splicing factor in various cancers, promoting abnormal gene expression through post-translational regulation. Although the protumoral function of SRSF1 is well-established, the effects of inhibiting tumor-intrinsic SRSF1 on the tumor microenvironment and its impact on CD8+ T cell-mediated antitumor immunity remain unclear. Our findings indicate that depleting SRSF1 in CD8+ T cells improve antitumor immune function, glycolytic metabolism, and the efficacy of adoptive T cell therapy. The inactivation of SRSF1 in tumor cells reduces transcription factors, including c-Jun, c-myc, and JunB, facilitating glycolytic metabolism reprogramming, which restores CD8+ T cell function and inhibits tumor growth. The small-molecule inhibitor TN2008 targets SRSF1, boosting antitumor immune responses and improving immunotherapy effectiveness in mouse models. We therefore introduce a paradigm targeting SRSF1 that simultaneously disrupts tumor cell metabolism and enhances the antitumor immunity of CD8+ T cells.

N6-methylation is a modification in which a methyl group is added to the adenine base of a nucleotide. This modification is crucial for controlling important functions that are vital for gene expression, including mRNA splicing, stability, and translation. Due to its intricate participation in both normal cellular processes and the course of disease, as well as its critical role in determining cell fate, N6-methyladenosine (m6A) alteration has recently attracted a lot of interest. The formation and progression of many diseases, especially cancer, can be attributed to dysregulated m6A alteration, which can cause disturbances in a variety of cellular functions, such as immunological responses, cell proliferation, and differentiation. In this study, we examine how m6A dysregulation affects hepatocellular carcinoma (HCC), with a particular emphasis on how it contributes to immunological evasion and carcinogenesis. We also investigate its potential as a novel therapeutic target, providing new perspectives on potential therapeutic approaches meant to enhance clinical results for patients with HCC.

Cancer-associated fibroblasts (CAFs) play important roles in the occurrence and development of hepatocellular carcinoma (HCC) and are a key component of the immunosuppressive microenvironment. However, the origin of CAFs has not been fully elucidated. We employed single-cell sequencing technology to identify the dynamic changes in different subsets of fibroblasts at different time points in rat primary HCC model. Inflammation-associated CAFs (Pdgfrα+ CAFs) were subsequently identified, which demonstrated a significant correlation with the survival duration of HCC patients and a dual role in the tumour microenvironment (TME). On the one hand, they secrete the chemokines CCL3 and CXCL12, which recruit macrophages to the tumour site. On the other hand, they produce TGFβ, inducing the polarization of these macrophages towards an immunosuppressive phenotype. According to the in vitro and in vivo results, hepatic progenitor cells (HPCs) can aberrantly differentiate into PDGFRα+ CAFs upon stimulation with inflammatory cytokine. This differentiation is mediated by the activation of the MAPK signaling pathway and the downstream transcription factor ERG via the TLR4 receptor. Downregulating the expression of ERG in HPCs significantly reduces the number of PDGFRα+ CAFs and the infiltration of tumour-associated macrophages in HCC, thereby suppressing hepatocarcinogenesis. Collectively, our findings elucidate the distinct biological functions of PDGFRα+ cancer-associated fibroblasts (PDGFRα+ CAFs) within the TME. These insights contribute to our understanding of the mechanisms underlying the establishment of an immunosuppressive microenvironment in HCC, paving the way for the exploration of novel immunotherapeutic strategies tailored for HCC treatment.

Methyltransferase-like (METTL) family protein plays a crucial role in the progression of malignancies. However, the function of METTL17 across pan-cancers, especially in hepatocellular carcinoma (HCC) is still poorly understood.

All original data were downloaded from TCGA, GTEx, HPA, UCSC databases and various data portals. First, we comprehensively analyzed RNA-seq data from the HPA database of 25 human tissues. An array of bioinformatics methods was employed to explore the potential oncogenic roles of METTL17, including analyzing its related prognosis, mutation, landscapes, tumor stemness index, immune cell infiltration, and other factors among different tumors. Additionally, gene set enrichment analysis (GSEA) was used to analyze pathways associated with METTL17 in HCC. Immunohistochemistry (IHC) was performed on clinical samples to validate the differential expression of METTL17 in HCC and normal tissues. Ultimately, we constructed a METTL17-related risk-score model of HCC and validated its prognostic classification efficiency. Survival rates were calculated using the Kaplan-Meier method. Statistical significance was defined as P < 0.05.

METTL17 was differentially expressed in various cancers. METTL17 maintained strong correlations with the cancer patient's prognosis, genetic alterations, tumor stemness index, and immune-infiltrated cells, etc. In addition, IHC experiments verified that METTL expression was significantly decreased in liver tissues of HCC patients compared to normal liver tissue. GESA analysis indicated METTL17 mainly involves oncogenic and immune-related pathways among HCC. MRPS5, CHCHD2, NCBP1, LRPPRC, DAP3, and BMS1 were included in a prognostic model based on METTL17's interaction networks. Kaplan-Meier survival analysis of the prognostic model showed that the overall survival (OS) of the low-risk group was significantly better than that of the high-risk group (P < 0.001). The area under the receiver operating characteristic (ROC) curve (AUC) of the 1-year, 3-year, and 5-year OS were 0.747, 0.671, and 0.631, respectively.

METTL17 may serve as a novel prognostic marker and therapeutic target for human tumors, offering a theoretical foundation for formulating more effective and tailored clinical treatment options for cancers, particularly HCC.

Hepatocellular carcinoma (HCC), a malignant tumor that seriously endangering health, has aroused widespread concern in the field of public health. Previous researches have noted the relationships between immune cells and HCC, but the causal relationship was uncertain.

In this study, a bidirectional two sample Mendelian randomization (MR) analysis was utilized to access the causal relationship between immune cell characteristics and HCC. According to the open-access data, we investigated the causal relationship between 731 immune cell characteristics and HCC risk.

After screening by IVW approach, increased levels of 8 immune traits and reduced levels of 7 immune traits could lead to changes in HCC risk. These 15 immune cells were distributed in the Monocyte (4 cells), Treg panel (4 cells), TBNK (3 cells), Maturation stages of T cell panel (3 cells), and cDC panel (1 cells). Furthermore, HCC was identified to have causal effects on 21 immunophenotypes. Among these immune cells, hepatocarcinogenesis had the greatest impact on CD4 on EM CD4 + and CD33 on Mo MDSC.

This study enhances our comprehension of the interaction between immune cells and HCC risk, furnishing novel avenues to explore the mechanisms of HCC.

Liver cancer, namely hepatocellular carcinoma (HCC), is a major global health concern deeply influenced by environmental factors. Air pollutants emerged as significant contributors to its incidence. This review explores the association between air pollution-specifically particulate matter (PM2.5), industrial chemicals like vinyl chloride, and benzene-and the increased risk of liver cancer. Mechanistically, air pollutants may cause liver damage by inducing oxidative stress, inflammation, and genetic mutations, contributing to cancer development. Epidemiological evidence from cohort and geographic studies highlights a positive correlation between long-term exposure to air pollutants and elevated incidence and mortality of liver cancer. Furthermore, air pollution has been shown to worsen survival outcomes in liver cancer patients, particularly those diagnosed at early stages. The review emphasizes the need for stricter air quality regulations and relevant research for underlying mechanisms exposed to air pollution. Addressing air pollution exposure could be crucial for reducing liver cancer risks and improving public health outcomes.

Hepatocellular Carcinoma (HCC) is the most common digestive system malignancy, with unclear pathogenesis and low survival rates. AP1M2 is associated with tumor progression, but its role and molecular mechanisms in HCC remain poorly understood and require further investigation.

We utilized the Gene Expression Omnibus (GEO) and Expression Analysis Interactive Hub (XENA) databases to assess AP1M2 mRNA expression levels in HCC patients. Additionally, we employed the Cancer Genome Atlas (TCGA) database to identify pathways associated with both AP1M2 and HCC development. To evaluate the effect of AP1M2 on HCC cell proliferation and migration, we employed various techniques including EdU, CCK-8, Colony formation assay, and Transwell assays. Furthermore, Western blot analysis was conducted to examine the signaling pathways influenced by AP1M2.

AP1M2 expression was significantly increased at the mRNA level in HCC tissues(P<0.001). Importantly, overall survival (OS) analysis confirmed the association between higher AP1M2 expression and a poorer prognosis in HCC patients compared to those with lower AP1M2 expression (P<0.019).Multivariate Cox regression analysis showed that AP1M2 was an independent prognostic factor and a valid predictor for HCC patients. Furthermore, GSEA results indicated differential enrichment of lipid, metal metabolism, and coagulation processes in HCC samples demonstrating a high AP1M2 expression phenotype. In vitro experiments supported these findings by demonstrating that AP1M2 promotes HCC cell proliferation and migration, while activating the JNK/ERK pathway.

Our findings indicate that AP1M2 expression may serve as a potential molecular marker indicating a poor prognosis for HCC patients. Furthermore, we have demonstrated that AP1M2 significantly influences HCC cell proliferation and migration, with the JNK/ERK signaling pathway playing a key role in AP1M2-mediated regulation in the context of HCC.

Hepatocellular carcinoma (HCC) circulating tumor cells (CTCs) exhibit significant phenotypic heterogeneity and diverse gene expression profiles due to epithelial-mesenchymal transition (EMT). However, current detection methods lack the capacity for simultaneous quantification of multidimensional biomarkers, impeding a comprehensive understanding of tumor biology and dynamic changes. Here, the CTC Digital Simultaneous Cross-dimensional Output and Unified Tracking (d-SCOUT) technology is introduced, which enables simultaneous quantification and detailed interpretation of HCC transcriptional and phenotypic biomarkers. Based on self-developed multi-real-time digital PCR (MRT-dPCR) and algorithms, d-SCOUT allows for the unified quantification of Asialoglycoprotein Receptor (ASGPR), Glypican-3 (GPC-3), and Epithelial Cell Adhesion Molecule (EpCAM) proteins, as well as Programmed Death Ligand 1 (PD-L1), GPC-3, and EpCAM mRNA in HCC CTCs, with good sensitivity (LOD of 3.2 CTCs per mL of blood) and reproducibility (mean %CV = 1.80-6.05%). In a study of 99 clinical samples, molecular signatures derived from HCC CTCs demonstrated strong diagnostic potential (AUC = 0.950, sensitivity = 90.6%, specificity = 87.5%). Importantly, by integrating machine learning, d-SCOUT allows clustering of CTC characteristics at the mRNA and protein levels, mapping normalized heterogeneous 2D molecular profiles to assess HCC metastatic risk. Dynamic digital tracking of eight HCC patients undergoing different treatments visually illustrated the therapeutic effects, validating this technology's capability to quantify the treatment efficacy. CTC d-SCOUT enhances understanding of tumor biology and HCC management.

Berberine (BBR) is an isoquinoline alkaloid extracted from Huang Lian and other herbal medicines. It has been reported to play a crucial role in multiple metabolic diseases and cancers. Programmed cell death-1 (PD-L1) is known as the immune checkpoint; immunotherapy targeting PD1/PD-L1 axis can effectively block its pro-tumor activity. However, the effect of the combined use of BBR and anti-PD-L1 on hepatocellular carcinoma (HCC) has not been reported.

Hep-3B and HCCLM3 cells were chosen as the experimental objects. To determine the potential anti-cancer activity of the combination of BBR and anti-PD-L1, we first treated v cells with BBR. The cell viability of Hep-3B and HCCLM3 with BBR treatment was measured by Cell Count Kit 8 assay. Cytometry by time-of-flight was performed to analyze tumor tissues after treatment with BBR and/or anti-PD-L1. Proliferation-, migration-, and invasion-related markers were measured by western blotting and immunohistochemistry.

The results showed that BBR significantly inhibited the proliferation of Hep-3B and HCCLM3.The combination treatment of BBR and anti-PD-L1 had a prominent inhibitory effect on HCC tumorigenesis. Cytometry by time-of-flight analysis indicated that BBR affects the immune subsets in the tumors. Besides, BBR and anti-PD-L1 inhibited the migration and invasion of HCC by inactivating the phosphorylation of Erk.

Our study proposed that the combination treatment of BBR and anti-PD-L1 markedly inhibited the tumorigenesis of HCC by Erk signaling pathway. We hope our research can provide a new strategy for the potential of BBR as a therapeutic agent in the treatment of HCC.

The development of hepatocellular carcinoma (HCC) involves an intricate interplay among various cell types within the liver. Unraveling the orchestration of these cells, particularly in the context of various etiologies, may hold the key to deciphering the underlying mechanisms of this complex disease. The advancement of single-cell and spatial technologies has revolutionized our ability to determine cellular neighborhoods and understand their crucial roles in disease pathogenesis. In this review, we highlight the current research landscape on cellular neighborhoods in chronic liver disease and HCC, as well as the emerging computational approaches applicable to delineate disease-associated cellular neighborhoods, which may offer insights into the molecular mechanisms underlying HCC pathogenesis and pave the way for effective disease interventions.

Hepatocellular carcinoma (HCC) stands as one of the prevalent malignant tumors worldwide. The effectiveness of immunotherapy frequently depends on the intricate dynamics of immunomodulation within the tumor microenvironment (TME). The current study aims to identify prognostically relevant genes and their functional roles in HCC. This is achieved by utilizing immune scores and mutations as the basis, through the application of bioinformatics and molecular biological analysis.

Differentially expressed genes (DEGs) analysis was conducted using the "clusterProfiler" package for functional enrichment. Cox regression analysis and LASSO regression analysis were performed for prognostic gene screening. Kaplan-Meier curve were further utilized to verify the prognostic value of these genes. The relationship between selected genes and immune cells was analyzed using ssGSEA algorithm and TIMER. The HK3 expression in HCC cells was tested by Western blot. Additionally, wound healing and transwell assays were utilized to detect the impact of HK3 on HCC metastasis.

Patients who had higher ESTIMATE, stromal, and immune scores exhibited more favorable overall survival rates. There are 17 genes that overlap among the DEGs related to the immune-stromal-ESTIMATE scores, mutated genes, and DEGs in HCC tissues compared to normal tissues. Among the DEGs, three genes (STAB1, COL15A1 and HK3) emerged with the most profound association concerning survival outcomes. Notably, the HK3 genes displayed a pronounced correlation with immune infiltration. Concurrently, diminished expression levels of HK3 were observed in HCC tissues and upregulation of HK3 resulted in a significant reduction in HCC cell metastasis in vitro and in vivo.

HK3 emerges as a novel prognostic biomarker for HCC, exerting regulatory influence over cellular proliferation, metastasis, and invasiveness. These findings indicate that HK3 holds promise as a potential candidate for treatment and prognosis of HCC.

Liver cancer remains one of the most formidable challenges in modern medicine, characterized by its high incidence and mortality rate. Emerging evidence underscores the critical roles of the immune microenvironment in tumor initiation, development, prognosis, and therapeutic responsiveness. However, the composition of the immune microenvironment of liver cancer (LC-IME) and its association with clinicopathological significance remain unelucidated. In this review, we present the recent developments related to the use of artificial intelligence (AI) for studying the immune microenvironment of liver cancer, focusing on the deciphering of complex high-throughput data. Additionally, we discussed the current challenges of data harmonization and algorithm interpretability for studying LC-IME.