We investigated the efficacy of quantitative evaluation of tumor signal heterogeneity on gadoxetic acid-enhanced magnetic resonance imaging (EOB-MRI) to predict prognosis and antitumor immunity in patients with hepatocellular carcinoma (HCC) undergoing liver resection.

A total of 297 patients who underwent curative resection for primary HCC were included. Tumor signal heterogeneity in the hepatobiliary phase (HBP) of EOB-MRI was quantified as the coefficient of variation (CV), calculated as the standard deviation divided by the mean signal intensity. Patients were classified into homogeneous (low CV) and heterogeneous (high CV) groups based on a cutoff value of 0.16 from receiver operating characteristic curve analysis. Tumor-infiltrating CD4+ and CD8+ T cells and PD-L1 expression were assayed by immunohistochemistry, and their associations with tumor signal heterogeneity were evaluated.

Among the 297 patients, 116 (39.1%) were classified into the heterogeneous group. The overall survival (OS) and recurrence-free survival (RFS) rates were significantly lower in the heterogeneous group (p < 0.001 for both). Multivariate analysis identified heterogeneous group as an independent prognostic factor for OS and RFS (p < 0.001 and p = 0.012, respectively). Extrahepatic recurrence was significantly more frequent in the heterogeneous group (18.1% vs. 7.7%, p = 0.024). CD4+ and CD8+ T cells were significantly decreased, and the PD-L1 positivity rate was significantly lower in the heterogeneous group (p < 0.001 for all).

The quantitative evaluation of tumor signal heterogeneity in the HBP of EOB-MRI using CV is useful for predicting postoperative prognosis in patients with HCC. Tumor signal heterogeneity may also reflect impaired local immunity and an immunologically "cold" tumor.

Septin 9 (SEPT9) interacts with multiple oncogenic proteins and is expressed abnormally in several cancers, including hepatocellular carcinoma (HCC). Plasminogen activator inhibitor-1 (PAI-1) promotes tumor formation and progression by modulating the tumor immune microenvironment. CXCR2+ immune cells play a crucial role in HCC formation, progression, and prognosis. The relationship between SEPT9 and PAI-1, and their impact on the HCC immune microenvironment remains unclear.

Expression levels of SEPT9 and PAI-1 were evaluated by immunohistochemistry (IHC) in HCC and background benign liver (n = 76). Their IHC results were examined for relationships with immune cell markers (CXCR2, CD3, CD15, CD68, and CD163), clinical parameters, and survival outcomes.

Higher grade HCC expressed SEPT9 and PAI-1 more frequently. SEPT9 and PAI-1 expression were associated with each other. PAI-1(+) HCCs had higher intratumoral CXCR2, CD3, CD15, CD68, and CD163 expression compared to PAI-1(-) HCCs, while SEPT9 expression correlated with greater CXCR2+ and CD15+ cell counts in tumor. SEPT9(+) HCC patients had shorter OS, although SEPT9 was not an independent prognostic factor.

SEPT9 is associated with PAI-1, a pro-tumorigenic protein. Both SEPT9 and PAI-1 are linked to advanced HCC grades. SEPT9 and PAI-1 positive HCCs have distinct CXCR2+ immune cell landscapes. Further investigation is needed to elucidate a possible SEPT9/PAI-1 interaction and the clinical utility of SEPT9 IHC in HCC.

The controlling nutritional status score (CONUT) has been utilized for prognostication of several cancers but its utility for hepatocellular carcinoma (HCC) is still unclear. We reviewed evidence on the ability of CONUT to predict overall survival (OS) and disease-free survival (DFS) in patients with HCC.

Online repositories of PubMed, Embase, CENTRAL, and Web of Science were searched by two reviewers for English language studies and were available before 15th March 2024. Hazard ratio (HR) and 95% confidence intervals were calculated for both OS and DFS.

A total of fourteen studies were available. Meta-analysis showed that CONUT was a significant predictor for OS (HR: 1.64 95% CI: 1.30, 2.06) and DFS (HR: 1.32 95% CI: 1.17, 1.50) in HCC. The effect size failed to change in significance on sensitivity analysis. Subgroup analysis based on country and treatment of HCC did not change the results. Subgroup analysis and meta-regression showed that a higher CONUT cut-off led to a stronger association between CONUT and OS in HCC.

CONUT can be an easy-to-use and rapid prognostic indicator for HCC. High CONUT scores are associated with worse OS and DFS.

Copy Number Alterations (CNAs)-driven genes have gained attention as potential markers for predicting the response to immune checkpoint blockade in cancer treatment. Among them, VPS72 has emerged as a promising candidate in hepatocellular carcinoma (HCC). However, the relationship between VPS72 and immune infiltration remains unclear.

TIMER analysis was performed to identify immune populations in bulk-RNAseq data. Then, we investigated the relationship between VPS72 and immune infiltration in HCC using diverse data sources, including the TCGA and GEO databases, clinical specimens, and animal models.

Our findings in the immunogenomic and TCGA-LIHC studies revealed significant enrichment of VPS72 among IRG in the altered group. Differential analysis and KEGG pathway analysis further highlighted the involvement of differentially expressed genes (DETs) in pathways related to the T cell receptor signaling pathway. Importantly, TIMER analysis suggested that low expression of VPS72 was associated with high infiltration of CD8 + T cells in multiple publicly available HCC datasets. To validate these findings, we conducted in vivo experiments and observed higher CD8A expression in VPS72-knockdown tumors. Additionally, in our patient cohort, individuals with low VPS72 expression exhibited higher CD8A expression. Furthermore, we identified a co-expression subtype characterized by low VPS72 and high CD8A levels, which showed a more favorable disease-free survival outcome in HCC.

The expression of VPS72 in tumors is associated with the tumor infiltration. VPS72 and CD8A coexpression are prognostic biomarkers in HCC.

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 characterized by a poor prognosis globally. PAX-interacting protein 1 (PAXIP1) serves a key role in the development of numerous human cancer types. Nevertheless, its specific involvement in HCC remains poorly understood. Public repository systems (Integrative Molecular Database of HCC, Gene Expression Omnibus, The Cancer Genome Atlas, University of Alabama at Birmingham Cancer Data Analysis Portal, Tumor Immune Estimation Resource and Human Protein Atlas) were utilized to explore PAXIP1 expression in HCC and evaluate the prognostic value of PAXIP1 in patients with HCC. PAXIP1 expression was investigated, and a notable relationship between PAXIP1 expression and various cancer types was found through analysis of The Cancer Genome Atlas data. More specifically, patients with HCC and lower PAXIP1 levels had improved survival rates. Furthermore, using LinkedOmics, the co-expression network of PAXIP1 in HCC was determined. Colocalization analysis of PAXIP1 using chromatin immunoprecipitation-sequencing data suggested that PAXIP1 might act as a cofactor for MYB proto-oncogene like 2 or FOXO1 in HCC. In addition, by predicting and analyzing the potential transcription factors related to PAXIP1, nuclear respiratory factor 1 was identified as a factor upstream of PAXIP1 in HCC. Notably, PAXIP1 expression exhibited a positive association with the infiltration of CD4+ and CD8+ T cells, macrophages, neutrophils and myeloid dendritic cells. Furthermore, PAXIP1 expression was associated with a range of immune markers such as programmed cell death protein 1, programmed death-ligand 1 and cytotoxic T-lymphocyte associated protein 4 in HCC. The findings of the present study highlighted the prognostic relevance of PAXIP1 and its function in modulating immune cell recruitment in HCC.

Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide. Extracellular vesicles (EV) are critical mediators of intercellular communication within the tumor microenvironment, and cancer-cell-secreted EVs often facilitate cancer progression. Here we show that in HBV-associated HCC, tumor-cell-derived EVs contain a TGFβ-inducible long noncoding RNA, termed HDAC2-AS2. EVs enriched with HDAC2-AS2 facilitate cancer progression by suppressing cytotoxicity of intra-tumor CD8+ T cells. Mechanistically, in activated cytotoxic CD8+ T cells, translocation of the transcription factor cyclin-dependent kinase 9 (CDK9), to the cytoplasm is critical for functional integrity. HDAC2-AS2 targets and blocks cytosolic CDK9, and this results in exhaustion of PD-1+CD8+ T cells and suppression of IFN-γ+CD8+ T cell cytotoxicity. Notably, we demonstrate that low CDK9 and high HDAC2-AS2 expressions are associated with poor survival of HCC, which can be rescued by anti-PD-1 therapy. These findings emphasize the significance of tumor-derived EVs in suppressing antitumor CD8+ T cell immunity to promote tumorigenesis, and highlight extracellular HDAC2-AS2 as a promising biomarker and therapeutic target for HCC.

The Naples prognostic score (NPS) is a remarkable marker of short- and long-term outcomes in various types of cancer. However, its impact on the postoperative outcomes of hepatocellular carcinoma remains controversial. This study aimed to clarify the impact of the NPS on the prognosis and incidence of postoperative complications in hepatocellular carcinoma.

Patients with hepatocellular carcinoma (n = 374) were categorized into high- and low-Naples prognostic score groups; their postoperative outcomes were compared. Prognostic and risk factors for severe postoperative complications were identified using multivariate analyses.

The low-Naples prognostic score group had significantly longer overall and recurrence-free survivals than the high-Naples prognostic score group (p = 0.03 and 0.04, respectively). Subgroup analysis revealed a superior predictive value of the NPS in the group with a single tumor (p = 0.03), tumor diameter ≤5 cm (p = 0.04), and tumor stage I or II (p = 0.04). A high NPS was an independent prognostic factor for overall survival (hazard ratio, 1.45; 95% confidence interval (CI), 1.01-2.05; and p = 0.04). The NPS 2-4 group had a higher incidence of the Clavien-Dindo grade ≥ IIIa postoperative complications than the 0-1 group (p = 0.03) and a score of 2-4 was identified as an independent risk factor for the Clavien-Dindo grade ≥ IIIa postoperative complications (odds ratio, 2.06; 95% CI, 1.01-4.20; and p = 0.05).

The NPS effectively predicts postoperative outcomes in patients with hepatocellular carcinoma.

Metastasis is the major cause of hepatocellular carcinoma (HCC) mortality. But the effective biomarkers for HCC metastasis remain underexplored. Here we integrated GEO (Gene Expression Omnibus) and TCGA (The Cancer Genome Atlas) datasets to screen candidate genes for hepatocellular carcinoma metastasis, a consensus metastasis-derived prognostic signature (MDPS) was constructed by machine learning. Based on the risk scores, HCC patients were stratified into high-risk and low-risk groups. Comprehensive analyses were conducted to investigate various aspects including survival outcomes, clinical characteristics, immune cell infiltration, as well as in vitro experiments. Together, we develop a comprehensive machine learning-based program for constructing a consensus MDPS including four genes (SPP1, TYMS, HMMR and MYCN). Our findings revealed that four genes could serve as efficient prognostic biomarkers and therapeutic targets in HCC. In addition, in vitro experiments showed that HMMR overregulation exacerbated tumor progression, including proliferation, migration and invasion.

Head and neck squamous cell carcinoma (HNSCC) is notorious for poor prognoses, and effective biomarkers are urgently needed for early diagnosis of HNSCC patients. We investigate the role of alkaline ceramidase 1 (ACER1) and its relationship with immune infiltration in HNSCC. The differential expression and clinical prognostic significance of ACER1 in HNSCC patients are explored using bioinformatics methods and verified in human HNSCC samples. Genetic mutation, DNA methylation and drug sensitivity linked with ACER1 are examined. The potential biological function of ACER1 co-expression genes is assessed, and a series of functional assays are performed on ACER1in vitro. The results comprehensively reveal a relationship between ACER1 and immune infiltration in HNSCC patients. ACER1 expression is significantly downregulated in HNSCC tissues and closely correlated with better prognoses for HNSCC patients, and this prognostic significance is determined by distinct clinical characteristics. Genetic alteration and promoter hypomethylation of ACER1 are involved in progression of HNSCC, and ACER1 expression is significantly related to several drug sensitivities. Functional analysis shows that ACER1 co-expression genes are mainly enriched in the sphingolipid signaling pathway associated with inhibition of tumorigenesis, leading to better prognoses for HNSCC patients. In vitro, ACER1 overexpression inhibits proliferation and migration, induces apoptosis, and promotes adhesion of Fadu and SCC9 cells. In addition, high ACER1 expression is closely linked with infiltration levels of immune cells, and strongly associated with biomarkers of immune cells in HNSCC, suggesting the important role of ACER1 in regulating tumor immunity in HNSCC patients. In summary, ACER1 may be a useful indicator for diagnosis and prognosis, and may regulate immune infiltration in HNSCC patients, thus promising targeted immunotherapy for HNSCC.

Bone mineral density (BMD) and monocyte-to-lymphocyte ratio (MLR) were recently identified as novel risk factors for patients with several malignancies. The objective of this study was to validate the role of preoperative BMD/MLR as a potential prognostic biomarker in patients with hepatocellular carcinoma (HCC) undergoing liver resection.

This investigation enrolled 442 adult patients diagnosed with HCC who underwent liver resection. The patients were classified into high- and low-BMD/MLR groups based on the median, and forward stepwise logistic regression was employed to identify independent predictors for early HCC recurrence. To mitigate the impact of confounding factors, a propensity score matching (PSM) analysis was conducted between patients in the high- and low-BMD/MLR groups. The Kaplan-Meier method was employed to assess and compare the disease-free survival (DFS) and overall survival (OS) between the two cohorts.

The study categorized patients into high-BMD/MLR and low-BMD/MLR groups. Forward stepwise logistic regression analysis revealed that low BMD/MLR (P < 0.001), tumor size > 50 mm (P < 0.001), and AFP > 200 ug/L (P = 0.001) were significantly associated with the early recurrence of HCC. Moreover, the results suggested that DFS and OS were significantly shorter in the low-BMD/MLR group compared to the high-BMD/MLR group, both before and after PSM (P < 0.05).

Preoperative BMD/MLR held promise as a prognostic biomarker for early recurrence and prognosis in patients with HCC who underwent liver resection. Furthermore, the integration of tumor size, AFP level, and BMD/MLR demonstrated a robust predictive capacity for early recurrence within this patient population.

In spite of great advance in the management of hepatocellular carcinoma (HCC), the prognostic factors are still obviously not understood. The role of tumor budding (TB) and tumor-infiltrating lymphocytes (TILs) in HCC as pathological parameters affecting prognosis stands principally unknown.

Seventy-four surgical resection pathology specimens of HCC patients were used. Assessment of TB and TILs were performed using hematoxylin-eosin-stained slides. Follow-up data were collected over a 5-year period to determine disease-free survival rates, overall survival (OS) rates, and how they related to TB, TILs, and other clinicopathological factors.

There was a significant statistical association between high-grade TB and lymphovascular embolization (LVE), tumor necrosis, and grade of HCC with P = 0.003, 0.036, and 0.017, respectively. The positive TILs group showed a statistically significant correlation with histological grade, LVE, and serum alpha-fetoprotein (AFP) level with P = 0.002, 0.006, and 0.043, respectively. Multivariate analysis using the Cox proportional hazard model revealed that TILs are not an independent pathological factor for disease-free and OS, although TB is an independent pathological factor for both.

In all HCC patients, TB was seen, and there was a significant link between the grade of the HCC and the presence of tumor necrosis, LVE, and high-grade TB. The majority (92%) of HCC patients had TILs, and there was a strong relationship between the histological grade, LVE, and serum AFP level. While TILs show variation of the immunologic reaction to the tumor, TB tends to suggest a hostile biologic nature and a bad prognosis.

Although signal sequence receptor subunit 1 (SSR1) has undergone thorough examination in different cancer types, its importance in hepatocellular carcinoma (HCC) remains largely uncharted and warrants further investigation. The aim of this study is to explore the role of SSR1 in HCC progression and to decipher its underlying molecular mechanisms.

We employed the ONCOMINE, Tumor IMmune Estimation Resource (TIMER), and The Cancer Genome Atlas databases to assess SSR1 expression levels within tumor tissues. Logistic and Cox regression analyses, Kaplan-Meier survival plots, nomograms, and forest plots were employed to establish correlation between SSR1 and prognosis. Receiver operating characteristic (ROC) curves demonstrated diagnostic utility of SSR1. Additionally, Gene Ontology (GO) and gene set enrichment analysis (GSEA) analyses were conducted to uncover relevant molecular pathways. TIMER was instrumental in elucidating the connection between SSR1 and immune cell infiltration. Actions of SSR1 in HCC proliferation and migration were investigated through quantitative real-time polymerase chain reaction, Cell Counting Kit-8, 5-ethynyl-2'-deoxyuridine cell proliferation assays, and Transwell migration and wound healing experiments.

Elevated SSR1 levels were found to be correlated with clinical parameters such as age and pathologic stage, thereby predicting a reduced overall survival (OS) rate in HCC patients. Multivariate survival analysis underscored SSR1 as an independent prognostic marker for OS. A nomogram underscored SSR1's effectiveness as a predictive tool for HCC outcomes, while ROC analysis indicated its high diagnostic accuracy. GO and GSEA analyses suggested that elevated SSR1 expression may be associated with epithelial-mesenchymal transition (EMT) pathway. SSR1 exhibited a negative correlation with cytotoxic cells and a positive correlation with Th2 cells. Our in vitro experiments provided evidence that heightened SSR1 levels may impact HCC proliferation and migration through EMT pathway.

SSR1 surfaces as a new diagnostic and potentially prognostic biomarker, showing an association with immune cell infiltration and cell proliferation in HCC.

Hepatocellular carcinoma (HCC) is a prevalent form of liver cancer that poses significant challenges regarding morbidity and mortality rates. In the context of HCC, immune cells play a vital role, especially concerning the presentation of antigens. This review explores the intricate interactions among immune cells within HCC, focusing on their functions in antigen presentation and the modulation of T-cell responses. We begin by summarizing the strategies that HCC uses to escape immune recognition, emphasizing the delicate equilibrium between immune surveillance and evasion. Next, we investigate the specific functions of various types of immune cells, including dendritic cells, natural killer (NK) cells, and CD8+ T cells, in the process of antigen presentation. We also examine the impact of immune checkpoints, such as cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and the pathways involving programmed cell death protein 1 (PD-1) and programmed death ligand 1 (PD-L1), on antigen presentation, while taking into account the clinical significance of checkpoint inhibitors. The review further emphasizes the importance of immune-based therapies, including cancer vaccines and CAR-T cell therapy, in improving antigen presentation. In conclusion, we encapsulate the latest advancements in research, propose future avenues for exploration, and stress the importance of innovative technologies and customized treatment strategies. By thoroughly analyzing the interactions of immune cells throughout the antigen presentation process in HCC, this review provides an up-to-date perspective on the field, setting the stage for new therapeutic approaches.

There is limited research on the clinicopathological characteristics of combined hepatocellular-cholangiocarcinoma (cHCC-CCA) currently. The aim of this study is to summerize the clinicopathological factors and prognosis of cHCC-CCA, which could help us understand this disease. 72 cases of cHCC-CCA from West China Hospital of Sichuan University were collected. Tissue components were reviewed by pathologists. Immunohistochemistry was used to detect the status of mismatch repair (MMR) and human epidermal growth factor receptor 2 (HER2) in cHCC-CCA, as well as the quantity and distribution of CD3+ T cells and CD8+ T cells. Fluorescence in situ hybridization was used to detect fibroblast growth factor receptor 2 (FGFR2) gene alteration. COX univariate and multivariate analyses were used to evaluate risk factors, and survival curves were plotted. 49 cases were classified as classic type cHCC-CCA and 23 cases as intermediate cell carcinoma. The cut-off value for diagnosing classic type was determined to be ≥ 30% for the cholangiocarcinoma component based on prognostic calculations. All tumors were MMR proficient. The rate of strong HER2 protein expression (3+) was 8.3%, and the frequency of FGFR2 gene alteration was 26.4%. CD3+ T cells and CD8+ T cells were mainly distributed at the tumor margin, and were protective factors for patients with cHCC-CCA. The overall survival of the 72 patients was 18.9 months, with a median survival of 12 months. Tumor size, TNM stage, and serum AFP level were prognostic factors for cHCC-CCA. The proportion of cholangiocarcinoma component reaching the threshold of 30%, may provide a reference for future pathology diagnosis. FGFR2 gene alteration was 26.4%, providing a clue for anti-FGFR2 therapy. However, more data is needed for further verification.

Chimeric Antigen Receptor (CAR) technology has revolutionized cellular immunotherapy, particularly with the success of CAR-T cells in treating hematologic malignancies. However, CAR-T cells have the limited efficacy of against solid tumors. To address these limitations, CAR-macrophages (CAR-Ms) leverage the innate properties of macrophages with the specificity and potency of CAR technology, offering a novel and promising approach to cancer immunotherapy. Preclinical studies have shown that CAR-Ms can effectively target and destroy tumor cells, even within challenging microenvironments, by exhibiting direct cytotoxicity and enhancing the recruitment and activation of other immune cells. Additionally, the favorable safety profile of macrophages and their persistence within solid tumors position CAR-Ms as potentially safer and more durable therapeutic options compared to CAR-T cells. This review explores recent advancements in CAR-Ms technology, including engineering strategies to optimize their anti-tumor efficacy and preclinical evidence supporting their use. We also discuss the challenges and future directions in developing CAR-Ms therapies, emphasizing their potential to revolutionize cellular immunotherapy. By harnessing the unique properties of macrophages, CAR-Ms offer a groundbreaking approach to overcoming the current limitations of CAR-T cell therapies, paving the way for more effective and sustainable cancer treatments.

RAD51 is a pivotal DNA repair gene managing double-stranded DNA break recognition and repair. RAD51 high expression was associated with adverse outcomes in other cancer types. This study aims to investigate the tumor microenvironment and immune landscape in the RAD51 high-expressed Hepatocellular Carcinoma (HCCs).

A total of 467 patients from two large independent cohorts with clinical and transcriptomic data were obtained. The cohort was dichotomized based on the median RAD51 gene expression. xCell and Gene Set Enrichment Analysis (GSEA) were used.

RAD51 high-expressed HCCs were associated with worse recurrence-free, progression-free, disease-specific, and overall survival (all P < 0.05). While RAD51 high-expressed HCCs were associated with intratumoral heterogeneity, homologous recombination deficiency, and fraction altered scores, mutation or neoantigens were not increased in this group. xCell analysis demonstrated inconsistent immune cell infiltration between two cohorts. Cytolytic activity as well as GSEA with immune-related gene sets also demonstrated inconsistent results between two cohorts as well. On the other hand, RAD51 expression was significantly increased in higher-grade tumors, larger tumors, and higher clinical stages. RAD51 high-expressed HCCs were found to have elevated proliferation score. Furthermore, GSEA exhibited significant enrichment of all the cell proliferation-related gene sets in the Hallmark collection, including E2F targets, G2M checkpoint, Mitotic spindle, MYC targets, and MTORC1 signaling consistently in both cohorts (all false discovery rate < 0.25).

RAD51 high-expressed HCCs were associated with worse survival and with increased cell proliferation and were not necessarily associated with immune infiltration or inflammation.

Treatment modalities involving an immune-checkpoint-inhibitor (ICI) have emerged as therapeutic options in advanced hepatocellular carcinoma (HCC). Nonetheless, auxiliary biomarkers are required to evaluate their efficacy. The present study aimed to assess the potential of blood mucosa-associated lymphoid tissue 1 (MALT1) in reflecting clinical response and prognosis in patients with advanced HCC who received ICI therapy. Peripheral blood was collected from 51 patients with advanced HCC who were about to receive ICI or ICI-based treatment. Blood MALT1 levels were determined using reverse transcription-quantitative PCR, and the blood MALT1 levels in 50 healthy controls (HCs) were also assessed. Besides, the treatment response and survival data were collected. The Wilcoxon rank-sum test was used for comparison analysis and the Spearman's rank correlation coefficient test was used for correlation analysis. The prognostic value of MALT1 was determined by Kaplan-Meier curve analysis with the log-rank test. Univariate and multivariate Cox regression models were used to identify factors associated with progression-free survival (PFS) and overall survival (OS). The results demonstrated that blood MALT1 levels were significantly increased in patients with advanced HCC compared with that in HCs (P<0.001). Blood MALT1 levels were increased in patients with portal vein invasion (vs. without portal vein invasion; P=0.010), extrahepatic disease (vs. without extrahepatic disease; P=0.026) and α-fetoprotein (AFP) ≥200 ng/ml (vs. AFP <200 ng/ml; P=0.040). After 4 cycles of ICI therapy, the objective response rate (ORR) and disease control rate (DCR) was 29.4 and 68.6%, respectively. Blood MALT1 levels were also significantly and negatively associated with the ORR (P=0.043) and DCR (P=0.004). Furthermore, PFS and OS were shortened in patients with high blood MALT1 levels (cut-off by the median) compared to those with low blood MALT1 levels. After adjusting using multivariate Cox regression models, high blood MALT1 levels were demonstrated to be a significant independent risk factor for shortened PFS [hazard ratio (HR)=2.419; P=0.009] and OS (HR=2.706, P=0.018) in patients with advanced HCC who received ICI therapy. In summary, blood MALT1 levels serve as a potential biomarker to reflect treatment response and survival in patients with advanced HCC who receive ICI therapy.

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

Our study included 41 patients fulfilling the Milan criteria preoperatively and aimed to identify individuals at high risk of post-resection HCC relapse, which occurred in 18 out of 41 patients (43.9%), retrospectively. We analyzed whole slide images of CD8 immunohistochemistry with automated segmentation of tissue classes and detection of CD8+ lymphocytes. The image analysis outputs were subsampled using a hexagonal grid-based method to assess spatial distribution of CD8+ lymphocytes with regards to the epithelial edges. The CD8+ lymphocyte density indicators, along with clinical, radiological, post-surgical and pathological variables, were tested to predict HCC relapse. Low standard deviation of CD8+ density along the tumor edge and R1 resection emerged as independent predictors of shorter recurrence-free survival (RFS). In particular, patients presenting with both adverse predictors exhibited 100% risk of relapse within 200 days. Our results highlight the potential utility of integrating CD8+ density variability and surgical margin to identify a high relapse-risk group among Milan criteria-fulfilling HCC patients. Validation in cohorts with core biopsy could provide CD8+ distribution data preoperatively and guide preoperative decisions, potentially prioritizing liver transplantation for patients at risk of incomplete resection (R1) and thereby improving overall treatment outcomes significantly.

Luteolin, a commonly used traditional Chinese medicine, has been utilized for several decades in the treatment of hepatocellular carcinoma (HCC). Previous research has demonstrated its anti-tumour efficacy, but its underlying mechanism remains unclear. This study aimed to assess the therapeutic effects of luteolin in H22 tumour-bearing mice. luteolin effectively inhibited the growth of solid tumours in a well-established mouse model of HCC. High-throughput sequencing revealed that luteolin treatment could enhance T-cell activation, cell chemotaxis and cytokine production. In addition, luteolin helped sustain a high ratio of CD8+ T lymphocytes in the spleen, peripheral blood and tumour tissues. The effects of luteolin on the phenotypic and functional changes in tumour-infiltrating CD8+ T lymphocytes were also investigated. Luteolin restored the cytotoxicity of tumour-infiltrating CD8+ T lymphocytes in H22 tumour-bearing mice. The CD8+ T lymphocytes exhibited intensified phenotype activation and increased production of granzyme B, IFN-γ and TNF-α in serum. The combined administration of luteolin and the PD-1 inhibitor enhanced the anti-tumour effects in H22 tumour-bearing mice. Luteolin could exert an anti-tumour immune response by inducing CD8+ T lymphocyte infiltration and enhance the anti-tumour effects of the PD-1 inhibitor on H22 tumour-bearing mice.

Diverse clinical observations and basic studies have been conducted to explore the implications of analgesic medications in liver diseases. However, the direct causal relationship between prescription analgesic use (PAU) and the risk of liver cancer and precancerosis remains unclear. Thus, we aimed to reveal the conceivable causal effect of PAU on liver cancer and precancerosis, with immune cells as mediating factors. Two-sample Mendelian randomization (MR) analyses were performed to ascertain the causality of PAU on liver cancer and precancerosis. Sensitivity analysis approaches were employed to assess the heterogeneity and pleiotropy of results. Our findings revealed a causal correlation between different PAUs and the risk of liver cancer and alcoholic liver disease (ALD). Specifically, salicylic acid derivatives (SADs) and anilide medications were found to have a protective effect on liver cancer. And non-steroidal anti-inflammatory drugs (NSAIDs) and anilide medications showed a causal impact on ALD. Finally, mediation analyses found that anilide medications influence liver cancer through different immune cell phenotypes. Our research provides new genetic evidence for the causal impact of PAU on liver cancer and precancerosis, with the mediating role of immune cells demonstrated, offering a valuable foundation for researching analgesic medications in liver cancer and precancerosis treatment.

Although patients benefit from immune checkpoint inhibition (ICI) therapy in a broad variety of tumors, resistance may arise from immune suppressive tumor microenvironments (TME), which is particularly true of hepatocellular carcinoma (HCC). Since oncolytic viruses (OV) can generate a highly immune-infiltrated, inflammatory TME, OVs could potentially restore ICI responsiveness via recruitment, priming, and activation of anti-tumor T cells. Here we find that on the contrary, an oncolytic vesicular stomatitis virus, expressing interferon-ß (VSV-IFNß), antagonizes the effect of anti-PD-L1 therapy in a partially anti-PD-L1-responsive model of HCC. Cytometry by Time of Flight shows that VSV-IFNß expands dominant anti-viral effector CD8 T cells with concomitant relative disappearance of anti-tumor T cell populations, which are the target of anti-PD-L1. However, by expressing a range of HCC tumor antigens within VSV, combination OV and anti-PD-L1 therapeutic benefit could be restored. Our data provide a cautionary message for the use of highly immunogenic viruses as tumor-specific immune-therapeutics by showing that dominant anti-viral T cell responses can inhibit sub-dominant anti-tumor T cell responses. However, through encoding tumor antigens within the virus, oncolytic virotherapy can generate anti-tumor T cell populations upon which immune checkpoint blockade can effectively work.

Immune checkpoint inhibitor (ICI)-based therapy has achieved impressive success in various cancer types. Several ICIs have been unprecedentedly approved as the treatment regimens for advanced hepatocellular carcinoma (HCC) in recent decade. Meanwhile, numerous clinical trials are being performed to exploit more ICIs into initially unresectable HCC and postoperative HCC to expectantly induce adequate tumor downstaging for further resection or implement adjuvant treatment for relapse-free survival, respectively. In this review, we aim to summarize some pragmatic histomorphologic, immunohistochemical, and molecular pathologic parameters which promisingly indicate the response of neoadjuvant/conversion ICI-related therapy and predict the efficacy of adjuvant/therapeutic ICI-related therapy for HCC.

We searched PubMed using the terms hepatocellular carcinoma, immunotherapy, immune checkpoint inhibitor, immune checkpoint blockade, conversion therapy, neoadjuvant therapy, adjuvant therapy, biomarker, pathologic evaluation, pathologic assessment till February 2023.

Although there is no consensus regarding the pathologic evaluation of relevant HCC specimens, it is encouraging that a few of studies have concentrated on this field, and moreover, the methods and parameters noted on other cancer types are also worthy of reference. For the pathologic assessment of HCC specimens underwent immunotherapy, a suitable sampling scheme, identifying immunotherapy-related pathologic response, and quantification of pathologic response rate should be emphasized. For the patients of HCC who are scheduled to receive immunotherapy, tumor-infiltrating lymphocyte, intratumoral tertiary lymphoid structure, programmed cell death ligand 1, Wnt/β-catenin, microsatellite instability and mismatch repair, tumor mutational burden and tumor neoantigen, as well as some other signaling pathways are the potential predictive biomarkers of treatment response of ICI.

The management of HCC in the era of immunotherapy arises a brand-new pathological challenge that is to provide an immunotherapy-related diagnostic report. Albeit many related researches are preclinical or insufficient, they may tremendously alter the immunotherapy strategy of HCC in future.

Metabolic dysfunction-associated steatohepatitis (MASH) is the progressed version of metabolic dysfunction-associated steatotic liver disease (MASLD) characterized by inflammation and fibrosis, but also a pathophysiological "hub" that favors the emergence of liver malignancies. Current research efforts aim to identify risk factors, discover disease biomarkers, and aid patient stratification in the context of MASH-induced hepatocellular carcinoma (HCC), the most prevalent cancer among MASLD patients. To investigate the tumorigenic transition in MASH-induced HCC, researchers predominantly exploit preclinical animal-based MASH models and studies based on archived human biopsies and clinical trials. Recapitulating the immune response during tumor development and progression is vital to obtain mechanistic insights into MASH-induced HCC. Notably, the advanced complexity behind MASLD and MASH pathogenesis shifted the research focus towards innate immunity, a fundamental element of the hepatic immune niche that is usually altered robustly in the course of liver disease. During the last few years, however, there has been an increasing interest for deciphering the role of adaptive immunity in MASH-induced HCC, particularly regarding the functions of the various T cell populations. To effectively understand the specific role of T cells in MASH-induced HCC development, scientists should urgently fill the current knowledge gaps in this field. Pinpointing the metabolic signature, sketching the immune landscape, and characterizing the cellular interactions and dynamics of the specific T cells within the MASH-HCC liver are essential to unravel the mechanisms that adaptive immunity exploits to enable the emergence and progression of this cancer. To this end, our review aims to summarize the current state of research regarding the T cell functions linked to MASH-induced HCC.

Immunotherapy has emerged as the primary treatment modality for patients with advanced Hepatocellular carcinoma (HCC). However, its clinical efficacy remains limited, benefiting only a subset of patients, while most exhibit immune tolerance and face a grim prognosis. The infiltration of immune cells plays a pivotal role in tumor initiation and progression. In this study, we conducted an analysis of immune cell infiltration patterns in HCC patients and observed a substantial proportion of CD8+T cells. Leveraging the weighted gene co-expression network analysis (WGCNA), we identified 235 genes associated with CD8+T cell and constructed a risk prediction model. In this model, HCC patients were stratified into a high-risk and low-risk group. Patients in the high-risk group exhibited a lower survival rate, predominantly presented with intermediate to advanced stages of cancer, displayed compromised immune function, showed limited responsiveness to immunotherapy, and demonstrated elevated expression levels of the Notch signaling pathway. Further examination of clinical samples demonstrated an upregulation of the Notch1+CD8+T cell exhaustion phenotype accompanied by impaired cytotoxicity and cytokine secretion functions that worsened with increasing Notch activation levels. Our study not only presents a prognostic model but also highlights the crucial involvement of the Notch pathway in CD8+T cell exhaustion-a potential target for future immunotherapeutic interventions.

We aimed to assess the prognostic value of tumor infiltrating lymphocytes (TILs) in patients with bladder cancer (BC) after radical cystectomy (RC).

We searched Pubmed, Web of Science and Scopus in April 2022 to identify studies assessing the prognostic value of TILs, including a subset of lymphocytes (eg, CD3, CD8, FOXP3), after RC. The endpoints were overall survival and recurrent free survival. Subgroup analyses were performed based on the evaluation method for TILs (ie, CD3, CD8, FOXP3, HE staining).

Overall, 9 studies comprising 1413 patients were included in this meta-analysis. The meta-analysis revealed that elevated expressions of TILs were significantly associated with favorable OS (pooled hazard ratio [HR]: 0.65, 95% confidence interval [CI]: 0.51-0.83) and RFS (pooled HR: 0.48, 95% CI: 0.35-0.64). In subgroup analyses, high CD8+ TILs were also associated with favorable OS (HR: 0.51, 95% CI: 0.33-0.80) and RFS (pooled HR: 0.53, 95% CI: 0.36-0.76). Among 3 studies comprising 146 patients, high intratumoral TILs were significantly associated with favorable OS (pooled HR: 0.34, 95% CI: 0.19-0.60).

TILs are useful prognostic markers in patients treated with RC for BC. Although the prognostic value of TILs is varied, depending on the subset and infiltration site, CD8+ TILs and intratumoral TILs are associated with oncologic outcomes. Further studies are warranted to explicate the predictive value of TILs on the response to perioperative systemic therapy to help clinical decision-making in patients with BC.

The usefulness of inflammation-based prognostic scores for early recurrence (ER) after hepatectomy for hepatocellular carcinoma has rarely been reported. This study aimed to evaluate the potential of inflammation-based prognostic scores as predictors of ER and their relationship with tumor markers.

We enrolled 338 patients who underwent hepatectomy for hepatocellular carcinoma between January 2007 and December 2021. Clinicopathological factors were compared between patients who developed ER (ER group) and those who did not develop ER (non-ER group). The association between inflammation-based prognostic scores and ER status was evaluated. These scores were compared with those of well-established tumor markers.

The platelet-to-lymphocyte ratio (PLR) correlated with ER of hepatocellular carcinoma, with an area under the curve (AUC) value of 0.70, sensitivity of 68.1%, and specificity of 67.7%. In patients with low tumor marker levels, the PLR showed a strong correlation with ER of hepatocellular carcinoma, with an AUC value of 0.851, sensitivity of 100%, and specificity of 76.2%. Multivariate analysis revealed that the PLR was an independent prognostic factor for ER.

The PLR is useful and complementary to tumor markers for predicting ER after hepatectomy for hepatocellular carcinoma.

Disulfidptosis a new cell death mode, which can cause the death of Hepatocellular Carcinoma (HCC) cells. However, the significance of disulfidptosis-related Long non-coding RNAs (DRLs) in the prognosis and immunotherapy of HCC remains unclear. Based on The Cancer Genome Atlas (TCGA) database, we used Least Absolute Shrinkage and Selection Operator (LASSO) and Cox regression model to construct DRL Prognostic Signature (DRLPS)-based risk scores and performed Gene Expression Omnibus outside validation. Survival analysis was performed and a nomogram was constructed. Moreover, we performed functional enrichment annotation, immune infiltration and drug sensitivity analyses. Five DRLs (AL590705.3, AC072054.1, AC069307.1, AC107959.3 and ZNF232-AS1) were identified to construct prognostic signature. DRLPS-based risk scores exhibited better predictive efficacy of survival than conventional clinical features. The nomogram showed high congruence between the predicted survival and observed survival. Gene set were mainly enriched in cell proliferation, differentiation and growth function related pathways. Immune cell infiltration in the low-risk group was significantly higher than that in the high-risk group. Additionally, the high-risk group exhibited higher sensitivity to Afatinib, Fulvestrant, Gefitinib, Osimertinib, Sapitinib, and Taselisib. In conclusion, our study highlighted the potential utility of the constructed DRLPS in the prognosis prediction of HCC patients, which demonstrated promising clinical application value.

Hepatocellular carcinoma (HCC) is the third leading cause of global cancer-related deaths. Despite immunotherapy offering hope for patients with HCC, only some respond to it. However, it remains unclear how to pre-screen eligible patients. Our study aimed to address this issue. In this study, we identified 13 prognostic genes through univariate Cox regression analysis of 87 apoptosis-related genes. Subsequently, these 13 genes were analyzed using ConsensusClusterPlus, and patients were categorized into three molecular types: C1, C2, and C3. A prognostic model and RiskScore were constructed using Lasso regression analysis of 132 significant genes identified between C1 and C3. We utilized quantitative polymerase chain reaction to confirm the model's transcript level in Huh7 and THLE2 cell lines. Both molecular subtypes and RiskScores effectively predicted patients benefiting from immunotherapy. Cox regression analysis revealed RiskScore as the most significant prognosis factor, suggesting its clinical application potential and providing a foundation for future experimental research.

The prognostic significance of CDC42 effector protein 2 (CDC42EP2) and its association with tumor-infiltrating immune cells (TIICs) have not been explored in liver hepatocellular carcinoma (LIHC). This study aims to assess the potential prognostic value of CDC42EP2 by conducting a comprehensive analysis of online databases pertaining to LIHC.

We evaluated the potential of CDC42EP2 as a prognostic biomarker by utilizing online databases such as TIMER, GEPIA2, KM, OSlihc, HPA, and LinkedOmics.

In LIHC, we observed that the mRNA and protein expression of CDC42EP2 were upregulated compared to normal tissues. Upregulated CDC42EP2 expression was associated with a worse prognosis based on the clinicopathological characteristics of patients with LIHC. Furthermore, CDC42EP2 was positively associated with TIICs. In the co-expression and functional enrichment analyses of CDC42EP2, 11,416 genes showed positive associations with CDC42EP2 while 8,008 genes showed negative associations. CDC42EP2-related co-expression genes were involved in protein localization to the endoplasmic reticulum, translational initiation, and RNA catabolic processes in gene set enrichment analysis-Gene Ontology (GSEAGO), and regulated the ribosome, spliceosome, and primary immune deficiency in the GSEAKyoto Encyclopedia of Genes and Genomes (KEGG) pathway. In a survival map, 23 and 17 genes that exhibited positive associations with CDC42EP2 showed a significant hazard ratio (HR) for overall survival and disease-free survival, respectively.

Our findings demonstrated that CDC42EP2 is a novel prognostic biomarker and a potential tumor immune therapeutic target in patients with LIHC.

Hepatocellular carcinoma (HCC) is the most prevalent form of primary liver cancer. According to the American Cancer Society, among patients diagnosed with advanced liver cancer, HCC has the sixth-highest incident rate, resulting in a poor prognosis. Surgery, radiofrequency ablation, transcatheter arterial chemoembolization, radiation, chemotherapy, targeted therapy and immunotherapy are the current treatment options available. Immunotherapy, which has emerged as an innovative treatment strategy over the past decade, is serving a vital role in the treatment of advanced liver cancer. Since only a small number of individuals can benefit from immunotherapy, biomarkers are required to help clinicians identify the target populations for this precision medicine. These biomarkers, such as PD-1/PD-L1, tumor mutational burden and circulating tumor DNA, can be used to investigate interactions between immune checkpoint inhibitors and tumors. The present review summarizes information on the currently available biomarkers used for immunotherapy and the challenges that are present.

Gastrointestinal (GI) cancers remain a significant global health burden, accounting for a substantial number of cases and deaths. Regrettably, the inadequacy of dependable biomarkers hinders the precise forecasting of patient prognosis and the selection of appropriate therapeutic sequencing for individuals with GI cancers, leading to suboptimal outcomes for numerous patients. The intricate interplay between tumor-infiltrating lymphocytes (TILs) and the tumor immune microenvironment (TIME) has been shown to be a pivotal determinant of response to anti-cancer therapy and consequential clinical outcomes across a multitude of cancer types. Therefore, the assessment of TILs has garnered global interest as a promising prognostic biomarker in oncology, with the potential to improve clinical decision-making substantially. Moreover, recent discoveries in immunotherapy have progressively changed the landscape of cancer treatment and significantly prolonged the survival of patients with advanced cancers. Nonetheless, the response rate remains constrained within solid tumor sufferers, even when TIL landscapes appear comparable, which calls for the development of our understanding of cellular and molecular cross-talk between TIME and tumor. Hence, this comprehensive review encapsulates the extant literature elucidating the TILs' underlying molecular pathogenesis, prognostic significance, and their relevance in the realm of immunotherapy for patients afflicted by GI tract cancers. Within this review, we demonstrate that the type, density, and spatial distribution of distinct TIL subpopulations carries pivotal implications for the prediction of anti-cancer treatment responses and patient survival. Furthermore, this review underscores the indispensable role of TILs in modulating therapeutic responses within distinct molecular subtypes, such as those characterized by microsatellite stability or programmed cell death ligand-1 expression in GI tract cancers. The review concludes by outlining future directions in TIL-based personalized medicine, including integrating TIL-based approaches into existing treatment regimens and developing novel therapeutic strategies that exploit the unique properties of TILs and their potential as a promising avenue for personalized cancer treatment.

Although immune checkpoint inhibition (ICI) has produced profound survival benefits in a broad variety of tumors, a proportion of patients do not respond. Treatment failure is in part due to immune suppressive tumor microenvironments (TME), which is particularly true of hepatocellular carcinoma (HCC). Since oncolytic viruses (OV) can generate a highly immune-infiltrated, inflammatory TME, we developed a vesicular stomatitis virus expressing interferon-ß (VSV-IFNß) as a viro-immunotherapy against HCC. Since HCC standard of care atezolizumab/bevacizumab incorporates ICI, we tested the hypothesis that pro-inflammatory VSV-IFNß would recruit, prime, and activate anti-tumor T cells, whose activity anti-PD-L1 ICI would potentiate. However, in a partially anti-PD-L1-responsive model of HCC, addition of VSV-IFNß abolished anti-PD-L1 therapy. Cytometry by Time of Flight showed that VSV-IFNß expanded dominant anti-viral effector CD8 T cells with concomitant, relative disappearance of anti-tumor T cell populations which are the target of anti-PD-L1. However, by expressing a range of HCC tumor antigens within VSV, the potent anti-viral response became amalgamated with an anti-tumor T cell response generating highly significant cures compared to anti-PD-L1 ICI alone. Our data provide a cautionary message for the use of highly immunogenic viruses as tumor-specific immune-therapeutics by showing that dominant anti-viral T cell responses can inhibit sub-dominant anti-tumor T cell responses. However, by chimerizing anti-viral and anti-tumor T cell responses through encoding tumor antigens within the virus, oncolytic virotherapy can be purposed for very effective immune driven tumor clearance and can generate anti-tumor T cell populations upon which immune checkpoint blockade can effectively work.

This study investigated the role of sarcopenia in the long-term outcomes of patients with early-stage intrahepatic recurrent hepatocellular carcinoma (HCC).

The study included 136 patients with intrahepatic recurrent Barcelona Clinic Liver Cancer (BCLC) stage 0/A HCC following liver resection diagnosed between 2006 and 2020 and underwent surgery, radiofrequency ablation (RFA), or transcatheter arterial chemoembolization (TACE). Sarcopenia was defined based on the skeletal muscle index using computed tomography at the time of recurrence, and its association with long-term outcomes was evaluated. Tumor-infiltrating lymphocytes (CD4 + , CD8 + , and CD45RO + T cells) were assayed using immunohistochemistry on specimens obtained from repeat hepatectomies, and their association with sarcopenia was evaluated.

The overall survival (OS) and recurrence-free survival (RFS) rates after initial recurrence of patients with sarcopenia were significantly lower than those without sarcopenia (p < 0.001 and p < 0.001, respectively). Multivariate analysis identified sarcopenia as an independent prognostic factor for RFS (p < 0.001). In patients without sarcopenia, surgery resulted in better RFS than RFA or TACE. Contrastingly, in patients with sarcopenia, the RFS was extremely poor regardless of the treatment type: surgery, RFA, or TACE (median RFS, 11.7, 12.7, and 10.1 months). Significantly low levels of tumor-infiltrating CD4 + , CD8 + , and CD45RO + lymphocytes were observed in patients with sarcopenia (p = 0.001, p = 0.001, and p = 0.001, respectively).

This study suggests that patients with sarcopenia have poor RFS regardless of the treatment type for early-stage intrahepatic recurrent HCC. Impaired host immunity might be one of the underlying mechanisms.

Hepatocellular carcinoma (HCC) is a rapidly rising global health concern, ranking as the third-leading cause of cancer-related mortality. Despite medical advancements, the five-year survival rate remains a dismal 18%, with a daunting 70% recurrence rate within a five-year period. Current systematic treatments, including first-line sorafenib, yield an overall response rate (ORR) below 10%. In contrast, immunotherapies have shown promise by improving ORR to approximately 30%. The IMbravel150 clinical trial demonstrates that combining atezolizumab and bevacizumab surpasses sorafenib in terms of median progression-free survival (PFS) and overall survival (OS). However, the therapeutic efficacy for HCC patients remains unsatisfactory, highlighting the urgent need for a comprehensive understanding of antitumor responses and immune evasion mechanisms in HCC. In this context, understanding the immune landscape of HCC is of paramount importance. Tumor-infiltrating T cells, including cytotoxic T cells, regulatory T cells, and natural killer T cells, are key components in the antitumor immune response. This review aims to shed light on their intricate interactions within the immunosuppressive tumor microenvironment and explores potential strategies for revitalizing dysfunctional T cells. Additionally, current immune checkpoint inhibitor (ICI)-based trials, ICI-based combination therapies, and CAR-T- or TCR-T-cell therapies for HCC are summarized, which might further improve OS and transform the management of HCC in the future.