Immunosubtyping enables the segregation of immune responders from non-responders. However, numerous studies failed to focus on the integration of cellular heterogeneity and immunophenotyping in the prediction of hepatocellular carcinoma (HCC) patients' response to immune checkpoint inhibitors (ICIs). We categorized HCC patients into various immune subtypes based on feature scores linked to ICI response. Single-cell sequencing technology was to investigate the cellular heterogeneity of different immune subtypes and acquire significant ICI response-associated cells. Candidate drugs were identified using a blend of various drug databases and network approaches. HCC patients were divided into two distinct immune subtypes based on characterization scores of 151 immune-related gene sets. Patients in both subtypes showed varying overall survival, immunity levels, biological activities, and TP53 mutation rates. Subtype 1-related natural killer cells showed a positive correlation with immune-promoting scores but a negative correlation with immune-suppressing scores. Notably, docetaxel sensitivity in HCC patients rose as the levels of subtype 1-related natural killer cells increased. Our study demonstrated that immune subtypes have cellular heterogeneity in predicting response to ICIs. A combination of subtype 1-associated natural killer cells and docetaxel may offer new hope for ICI treatment in HCC.

Anti-vascular endothelial growth factor (VEGF) agents in combination with immunotherapies have improved outcomes for cancer patients, but predictive biomarkers have not been elucidated. We report here a preplanned analysis in the previously reported APPLE study, a phase 3 trial evaluating the efficacy of the bevacizumab in combination with atezolizumab, plus platinum chemotherapy in metastatic, nonsquamous non-small cell lung cancer (NSCLC). We investigated the correlation of serum VEGF-A and its isoforms at baseline with treatment response by using an enzyme-linked immunosorbent assay. We reveal that the addition of bevacizumab significantly improves the progression-free survival in patients with the low VEGF-A level. Our results demonstrate that measuring serum VEGF-A or its isoforms may identify NSCLC patients who are likely to benefit from the addition of bevacizumab to immunotherapy. These assays are easy to measure and have significant potential for further clinical development.

Coagulation is intensively related to various tumors, which affects their progression and prognosis. However, research on the impact of coagulation-associated genes (CAGs) on hepatocellular carcinoma (HCC) occurrence, prognosis, and immune microenvironment is limited. Consequently, our research aims to uncover how CAGs affect the prognosis and immune microenvironments of HCC. We integrated gene expression data and clinical information from three datasets (GSE14520, GSE76427, and TCGA-LIHC). 281 CAGs were obtained from the coagulation-related pathway (hsa04610). We obtained three CAG patterns through a consensus clustering algorithm. Afterward, differential analyses of prognosis, biological processes, immune infiltration, and functional and pathway enrichment were conducted on the three CAG patterns. We intersected CAGs with differentially expressed genes in GSE76427 and then conducted Cox regression analysis to obtain the prognostic genes in HCC. Glycerol-3-phosphate dehydrogenase 2 (GPD2) was selected for further analyses. TCGA-LIHC samples with different GPD2 expression levels were analyzed for prognosis, DNA methylation, immune infiltration, and drug sensitivity. The expression level of GPD2 was verified through quantitative real-time PCR (qPCR) and immunohistochemistry. The wound-healing and Transwell assays were used to analyze the tumor cell migration and the Matrigel invasion and apoptosis assays were performed to determine cell invasion and apoptosis. Three CAG patterns were obtained through an unsupervised consensus clustering algorithm. CAGclusterA held the best prognosis compared to the other two clusters. The CAGclusterC was characterized by poor prognosis and abundant immune cell infiltration. The TCGA-LIHC dataset, as an internal validation, also yielded similar subtype classifications. Afterward, we identified the GPD2 gene, which significantly affected the prognosis of HCC and was positively correlated with the tumor progression. The upregulation of GPD2 expression was closely related to tumorigenic signatures and immune escape. The qPCR confirmed the upregulation of GPD2 expression in HCC tumor cell lines, compared to normal liver cell lines. Immunohistochemical staining confirmed the high expression of GPD2 in HCC tumor tissues compared to normal tissues. Regulating the expression level of GPD2 can inhibit the proliferation, migration, invasion, and induce apoptosis of HCC cells. Our study comprehensively elucidated the coagulation characteristics in HCC and identified a promising oncogenic gene GPD2. Exploring targeted strategies based on coagulation-related characteristics and biomarkers may shed light on HCC treatment.

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.

Response to immunotherapy in hepatocellular carcinoma (HCC) is suboptimal with no biomarkers to guide patient selection. "Humanized" mice represent promising models to address this deficiency but are limited by variable chimerism and underdeveloped myeloid compartments. We hypothesized that expression of human GM-CSF and IL-3 increases tumor immune cell infiltration, especially myeloid-derived cells, in humanized HCC patient-derived xenografts.

NOG (NOD/Shi-scid/IL-2Rγnull) and NOG-EXL (huGM-CSF/huIL-3 NOG) mice conditioned with busulfan underwent i.v. injection of human CD34+ cells. HCC patient-derived xenograft tumors were then implanted subcutaneously or orthotopically. Following serial blood sampling, mice were euthanized at defined tumor sizes. Tumor, blood, liver, and spleen were analyzed by flow cytometry and immunohistochemistry.

Humanized NOG-EXL mice demonstrated earlier and higher levels of human chimerism compared to humanized NOG mice (82.1% vs. 43.8%, p <0.0001) with a greater proportion of human monocytes (3.2% vs. 1.1%, p = 0.001) and neutrophils (0.8% vs. 0.3%, p = 0.02) in circulation. HCC tumors in humanized NOG-EXL mice exhibited greater human immune cell infiltration (57.6% vs. 30.2%, p = 0.04) with higher proportions of regulatory T cells (14.6% vs. 6.8%, p = 0.04), CD4+ PD-1 expression (84.7% vs. 32.0%, p <0.01), macrophages (1.2% vs. 0.6%, p = 0.02), and neutrophils (0.5% vs. 0.1%, p <0.0001). No differences were observed in tumor engraftment or growth latency in subcutaneous tumors, but orthotopic tumors required implantation at 2 rather than 4 weeks post-humanization for successful engraftment. Finally, utilizing adult bone marrow instead of fetal livers enabled partial HLA-matching to HCC tumors but required more CD34+ cells.

Human GM-CSF and IL-3 expression in humanized mice resulted in features more closely approximating the immune microenvironment of human disease, providing a promising model for investigating critical questions in immunotherapy for HCC.

This study introduces a unique mouse model at a critical point in the evolution of treatment paradigms for patients with hepatocellular carcinoma (HCC). Immunotherapies have become the first-line treatment for advanced HCC; however, response rates remain low with no clear predictors of response to guide patient selection. In this context, animal models that recapitulate human disease are greatly needed. Leveraging xenograft tumors derived from patients with unresectable HCCs and a commercially available immunodeficient mouse strain that expresses human GM-CSF and IL-3, we demonstrate a novel but accessible approach for modeling the HCC tumor microenvironment.

Bile acid metabolism and antitumor immunity are both disrupted during liver cancer progression. However, the complex regulatory relationship between them remains largely unclear. Here, we find that loss of aldo-keto reductase 1D1 (AKR1D1) promotes the accumulation of isolithocholic acid (iso-LCA) through gut microbiome dysregulation, thereby impairing the cytotoxic function of natural killer (NK) cells and leading to the accelerated development of hepatocellular carcinoma (HCC). Mechanistically, AKR1D1 deficiency leads to an increased proportion of Bacteroidetes ovatus (B. ovatus), which breaks down chenodeoxycholic acid (CDCA) into iso-LCA. Moreover, accumulated iso-LCA impairs the antitumor activity of hepatic NK cells in a phosphorylated-CREB1 (p-CREB1)-dependent manner. The potassium-sparing diuretic spironolactone treatment significantly enhances the inhibitory effect of anti-PD1 antibody on HCC progression by targeting iso-LCA-mediated tumor immune escape. Taken together, our results uncover a previously unappreciated link between AKR1D1 and HCC and suggest that targeting iso-LCA produced by B. ovatus might be a promising strategy to activate NK cell cytotoxicity to treat HCC.

The immune resistance of tumor microenvironment (TME) causes immune checkpoint blockade therapy inefficient to hepatocellular carcinoma (HCC). Emerging strategies of using chemotherapy regimens to reverse the immune resistance provide the promise for promoting the efficiency of immune checkpoint inhibitors. The induction of cyclic guanosine monophosphate-adenosine monophosphate synthase (cGAS)-stimulator of interferon genes (STING) in tumor cells evokes the adaptive immunity and remodels the immunosuppressive TME. In this study, we report that mitoxantrone (MIT, a chemotherapeutic drug) activates the cGAS-STING signaling pathway of HCC cells. We provide an approach to augment the efficacy of MIT using a signal transducer and activator of transcription 3 (STAT3) inhibitor called napabucasin (NAP). We prepare an aminoethyl anisamide (AEAA)-targeted polyethylene glycol (PEG)-modified poly (lactic-co-glycolic acid) (PLGA)-based nanocarrier for co-delivery of MIT and NAP. The resultant co-nanoformulation can elicit the cGAS-STING-based immune responses to reshape the immunoresistant TME in the mice orthotopically grafted with HCC. Consequently, the resultant co-nanoformulation can promote anti-PD-1 antibody for suppressing HCC development, generating long-term survival, and inhibiting tumor recurrence. This study reveals the potential of MIT to activate the cGAS-STING signaling pathway, and confirms the feasibility of nano co-delivery for MIT and NAP on achieving HCC chemo-immunotherapy.

Anti-vascular endothelial growth factor (VEGF) therapy has been developed and recognized as an effective treatment for hepatocellular carcinoma (HCC). However, there remains a lack of noninvasive methods in precisely evaluating VEGF expression in HCC.

To establish a visual noninvasive model based on clinical indicators and MRI features to evaluate VEGF expression in HCC.

Retrospective.

One hundred forty HCC patients were randomly divided into a training (N = 98) and a test cohort (N = 42).

3.0 T, T2WI, T1WI including pre-contrast, dynamic, and hepatobiliary phases.

The fusion model constructed by history of smoking, albumin-to-globulin ratio (AGR) and the Radio-Tree model was visualized by a nomogram.

Performances of models were assessed by receiver operating characteristic (ROC) curves. Student's t-test, Mann-Whitney U-test, chi-square test, Fisher's exact test, univariable and multivariable logistic regression analysis, DeLong's test, integrated discrimination improvement (IDI), Hosmer-Lemeshow test, and decision curve analysis were performed. P < 0.05 was considered statistically significant.

History of smoking and AGR ≤1.5 were clinical independent risk factors of the VEGF expression. In training cohorts, values of area under the curve (AUCs) of Radio-Tree model, Clinical-Radiological (C-R) model, fusion model which combined history of smoking and AGR with Radio-Tree model were 0.821, 0.748, and 0.871. In test cohort, the fusion model showed highest AUC (0.844) than Radio-Tree and C-R models (0.819, 0.616, respectively). DeLong's test indicated that the fusion model significantly differed in performance from the C-R model in training cohort (P = 0.015) and test cohort (P = 0.007).

The fusion model combining history of smoking, AGR and Radio-Tree model established with ML algorithm showed the highest AUC value than others.

4 TECHNICAL EFFICACY: Stage 2.

Hepatocellular carcinoma (HCC) is a ubiquitous malignancy linked to significant mortality. The abnormal expression of β-1,4-N-acetyl-galactosaminyltransferase 1 (B4GALNT1) seemed to be implicated in tumorigenesis. Nonetheless, this enzyme's roles in HCC are unclear.

By analyzing the TCGA_LIHC, GSE77509, and GSE135631 datasets, the levels of B4GALNT1 expression in HCC and surrounding non-cancerous tissues were compared. The prognostic implications of B4GALNT1 were assessed using the Cox regression analysis (CRA). The relationship of B4GALNT1 mutations with CpG island methylation levels and prognosis was examined by analyzing the cBioPortal and MethSurv databases. We sifted the evidence of B4GALNT1 expression correlating with 28 immune cell types' infiltration by harnessing the "GSVA" R package. To delve into the influences of genes associated with B4GALNT1 on HCC, we implemented gene set enrichment analysis (GSEA). We constructed a lentiviral vector expressing B4GALNT1 and knocked down B4GALNT1 in HepG2 cells. The resulting effects on HCC cell proliferation and apoptosis were analyzed via cell proliferation assays and flow cytometry.

HCC tissues presented significant B4GALNT1 overexpression relative to surrounding non-cancerous tissues, marking it as a standalone risk factor for HCC progression. Methylation levels of two CpG islands were high, suggesting poor prognosis. It was detectable that B4GALNT1 expression interrelated with the infiltration extent of natural killer T cells in HCC tissues. B4GALNT1-fueled cell proliferation and enhanced resistance to apoptosis in HCC cells.

B4GALNT1 is a strong regulator of HCC progression and holds promise as a marker for prognosis and a hallmark for therapy in HCC.

T-cell receptor (TCR) sequencing provides a novel platform for insight into and characterization of intricate T-cell profiles, advancing the understanding of tumor immune heterogeneity. Recently, transarterial chemoembolization (TACE) combined with systemic therapy has become the recommended regimen for advanced hepatocellular carcinoma. The regulation of the immune microenvironment after TACE and its impact on tumor progression and recurrence has been a focus of research. By examining and tracking fluctuations in the TCR repertoire following combination treatment, novel perspectives on the modulation of the tumor microenvironment post-TACE and the underlying mechanisms governing tumor progression and recurrence can be gained. Clarifying the distinctive metrics and dynamic alterations of the TCR repertoire within the context of combination therapy is imperative for understanding the mechanisms of anti-tumor immunity, assessing efficacy, exploiting novel treatments, and further advancing precision oncology in the treatment of hepatocellular carcinoma. In this review, we initially summarized the fundamental characteristics of TCR repertoire and depicted immune microenvironment remodeling after TACE. Ultimately, we illustrated the prospective applications of TCR repertoires in TACE combined with systemic therapy.

Hepatocellular carcinoma (HCC) is an inflammation-associated tumor with a dismal prognosis. Immunotherapy has become an important treatment strategy for HCC, as immunity is closely related to inflammation in the tumor microenvironment. Inflammation regulates the expression of programmed death ligand-1 (PD-L1) in the immunosuppressive tumor microenvironment and affects immunotherapy efficacy. Interleukin-17A (IL-17A) is involved in the remodeling of the tumor microenvironment and plays a protumor or antitumor role in different tumors. We hypothesized that IL-17A participates in tumor progression by affecting the level of immune checkpoint molecules in HCC.

To investigate the effect and mechanism of action of IL-17A on PD-L1 expression and to identify attractive candidates for the treatment of HCC.

The upregulation of PD-L1 expression in HCC cells by IL-17A was assessed by reverse transcription PCR, western blotting, and flow cytometry. Mechanistic studies were conducted with gene knockout models and pathway inhibitors. The function of IL-17A in immune evasion was explored through coculture of T cells and HCC cells. The effects of IL-17A on the malignant biological behaviors of HCC cells were evaluated in vitro, and the antitumor effects of an IL-17A inhibitor and its synergistic effects with a PD-L1 inhibitor were studied in vivo.

IL-17A upregulated PD-L1 expression in HCC cells in a dose-dependent manner, whereas IL-17A receptor knockout or treatment with a small mothers against decapentaplegic 2 inhibitor diminished the PD-L1 expression induced by IL-17A. IL-17A enhanced the survival of HCC cells in the coculture system. IL-17A increased the viability, G2/M ratio, and migration of HCC cells and decreased the apoptotic index. Cyclin D1, VEGF, MMP9, and Bcl-1 expression increased after IL-17A treatment, whereas BAX expression decreased. The combination of IL-17A and PD-L1 inhibitors showed synergistic antitumor efficacy and increased cluster of differentiation 8 + T lymphocyte infiltration in an HCC mouse model.

IL-17A upregulates PD-L1 expression via the IL-17A receptor/phosphorylation-small mothers against decapentaplegic 2 signaling pathway in HCC cells. Blocking IL-17A enhances the therapeutic efficacy of PD-L1 antibodies in HCC in vivo.

Hepatocellular carcinoma (HCC) is a highly prevalent malignancy with limited treatment efficacy despite advances in immune checkpoint blockade (ICB) therapy. The inherently weak immune responses in HCC necessitate novel strategies to improve anti-tumor immunity and synergize with ICB therapy. Kinesin family member 20A (KIF20A) is a tumor-associated antigen (TAA) overexpressed in HCC, and it could be a promising target for vaccine development. This study confirmed KIF20A as a promising immunogenic antigen through transcriptomic mRNA sequencing analysis in the context of HCC. Therefore, we developed a thermosensitive hydrogel vaccine formulation (K/RLip@Gel) to optimize antigen delivery while enabling sustained in vivo release. The vaccine efficiently elicited robust immune responses by activating DCs and T cells. Moreover, K/RLip@Gel improved the therapeutic efficacy of PD-L1 blockade in subcutaneous and orthotopic cell-derived xenograft (CDX) models, along with immune-humanized patient-derived xenograft (PDX) HCC models, which was evidenced by improved maturation of DCs and elevated infiltration and activation of CD8+ T cells. These findings highlight the potential of KIF20A-based vaccines to synergistically improve ICB therapy outcomes in HCC, providing a promising approach for enhancing anti-tumor immunity and improving clinical outcomes.

Hepatocellular carcinoma (HCC) is a malignant tumor characterized by rapid progression. To explore the regulatory mechanism of rapid tumor growth and metastasis, we conducted proteomic and scRNA-Seq analyses on advanced HCC tissues and identified a significant molecule, guanine monophosphate synthase (GMPS), closely associated with the immune evasion in HCC. We analyzed the immune microenvironment characteristics remodeled by GMPS using scRNA-Seq and found GMPS induced tumor immune evasion in HCC by impairing the tumor-killing function of CD8 + T cells. Further investigation revealed that GMPS increased PD-L1 expression by regulating its ubiquitination and glycosylation modification. Mechanistically, GMPS enhanced the bond between PD-L1 and the catalytic subunit STT3A of oligosaccharyltransferase (OST) by acting as an additional module connecting the Sec61 channel complex and STT3A, which aided in the translocation and modification of nascent peptides. Increased PD-L1 impaired the tumor-killing function of CD8 + T cells, leading to the immune evasion. Importantly, targeting GMPS with angustmycin A, an inhibitor of GMPS activity, significantly suppressed PD-L1 expression and tumor growth in HCC, which also increased the sensitivity to anti-CTLA-4 immunotherapy. These findings suggested the potential of targeting GMPS as a promising therapeutic approach for HCC.

Recent advancements in combination therapy for unresectable hepatocellular carcinoma (uHCC) have shown promise, but reliable serological prognostic indicators are currently lacking for patients undergoing triple combination therapy of stereotactic body radiation therapy (SBRT), immunotherapy, and targeted therapy. We aimed to investigate the prognostic significance of early alpha fetoprotein (AFP) and des-gamma-carboxy prothrombin (DCP) responses in these patients.

This retrospective research included 115 uHCC patients treated with SBRT in combination with immunotherapy and targeted therapy (triple therapy) at our institution from April 2021 to December 2022. Participants were categorized into high AFP and high DCP cohorts based on baseline levels. AFP and DCP responses were defined as decreases from baseline of over 50% and 70%, respectively, according to ROC curve analysis. Differences in overall survival (OS), progression-free survival (PFS), and objective response rate (ORR) were assessed between the tumor biomarker response and non-response groups.

Multivariate analysis indicated that AFP or DCP response at 6-8 weeks post-therapy significantly influenced ORR (high AFP cohort: odds ratio [OR] 5.50, 95% CI 2.04-14.83, p=0.001; high DCP cohort: OR 7.99, 95%CI 2.82-22.60, p<0.001). The median PFS was notably longer in tumor biomarker response groups (high AFP cohort: 13.7 vs 6.2 months, hazard ratio [HR] 0.36, 95% CI 0.20-0.62, p<0.001; high DCP cohort: 15.6 vs 9.3 months, HR 0.44, 95% CI 0.26-0.74, p=0.002). AFP or DCP response was associated with prolonged OS (high AFP cohort: not reached vs. 21.9 months, HR 0.47, 95% CI 0.22-0.99, p=0.047; high DCP cohort: not reached vs. 20.6 months, HR 0.35, 95% CI 0.14-0.86, p=0.022).

AFP or DCP response at 6-8 weeks post-therapy predicts better oncological outcomes in patients with uHCC treated with triple therapy.

Hepatocellular carcinoma (HCC) is still one of the leading causes of tumor-related deaths. Accumulating evidence indicates that immunogenic cell death (ICD) could occur in tumor cells. However, ICD-related studies are limited in HCC. This study collected HCC RNA sequencing data from the Cancer Genome Atlas, International Cancer Genome Consortium, and Gene Expression Omnibus databases. R software was used to analyze the expression of ICD in HCC and to screen essential genes with prognostic value. qRT-PCR and WB determined the mRNA and protein expressions of hub gene. Cell viability assay, Clonal formation assay, and Live/dead staining assay were employed to determine the gene functions. After cross-analysis of differentially expressed genes (DEGs) and ICD-related genes (ICDRGs), 7 differentially expressed ICDRGs were identified in HCC. Of them, HSP90AA1, with the most excellent prognostic value in HCC, was selected, whose expression was also validated in public cohorts, cell lines, and clinical tissue samples. High HSP90AA1 expression indicated an inferior prognosis of HCC, and HSP90AA1 knockdown significantly suppressed cell viability and chemotherapy resistance of HCC. ICD-related gene HSP90AA1 was an unfavorable factor for HCC, and high HSP90AA1 expression contributed to tumor cell survival and chemotherapy resistance.

Intra-tumor immune infiltration plays a pivotal role in the interaction with tumor cells in hepatocellular carcinoma (HCC). However, its phenotype and related spatial structure remained elusive. To address these limitations, we conducted a comprehensive study combining spatial data (38,191 spots from eight samples) and single-cell data (56,022 cells from 20 samples). Our analysis revealed two distinct infiltration patterns: immune exclusion and immune activation. Plasma cells emerged as the primary cell type within intra-tumor immune clusters. Notably, we observed the co-location of CCL19+ fibroblasts with plasma cells, which secrete chemokines and promote T-cell activation and leukocyte migration. Conversely, in immune-exclusion samples, this co-location was primarily observed in the adjacent normal area. This co-localization correlated with T cell infiltration and the formation of tertiary lymphoid structures, validated by multiplex immunofluorescence conducted on twenty HCC samples. Both CCL19+ fibroblasts and plasma cells were associated with favorable survival outcomes. In an immunotherapy cohort, HCC patients who responded favorably exhibited higher infiltration of CCL19+ fibroblasts and plasma cells. Additionally, we observed the accumulation of DKK1+ tumor cells within the tumor area in immune-exclusion samples, particularly at the tumor boundary, which inhibited the infiltration of CCL19+ fibroblasts and plasma cells into the tumor area. Furthermore, in immune-exclusion samples, the SPP1 signaling pathway demonstrated the highest activity in communication between tumor and immune clusters, and CCL19-CCR7 played a pivotal role in the self-communication of immune clusters. This study elucidates immune exclusion and immune activation patterns in HCC and identifies relevant factors contributing to immune resistance.

Responses to immunotherapies in hepatocellular carcinoma (HCC) are suboptimal with no biomarkers to guide patient selection. "Humanized" mice represent promising models to address this deficiency but are limited by variable chimerism and underdeveloped myeloid compartments. We hypothesized that expression of human GM-CSF and IL-3 increases tumor immune cell infiltration, especially myeloid-derived cells, in humanized HCC patient-derived xenografts (PDXs).

NOG (NOD/Shi- scid /IL-2R null ) and NOG-EXL (huGM-CSF/huIL-3 NOG) mice conditioned with Busulfan underwent i.v. injection of human CD34+ cells. HCC PDX tumors were then implanted subcutaneously (SQ) or orthotopically (OT). Following serial blood sampling, mice were euthanized at defined tumor sizes. Tumor, blood, liver, and spleen were analyzed by flow cytometry and immunohistochemistry.

Humanized NOG-EXL mice demonstrated earlier and increased human chimerism compared to humanized NOG mice (82.1% vs 43.8%, p<0.0001) with increased proportion of human monocytes (3.2% vs 1.1%, p=0.001) and neutrophils (0.8% vs 0.3%, p=0.02) in circulation. HCC tumors in humanized NOG-EXL mice had increased human immune cell infiltration (57.6% vs 30.2%, p=0.04), noting increased regulatory T cells (14.6% vs 6.8%, p=0.04), CD4+ PD-1 expression (84.7% vs 32.0%, p<0.01), macrophages (1.2% vs 0.6%, p=0.02), and neutrophils (0.5% vs 0.1%, p<0.0001). No differences were observed in tumor engraftment or growth latency in SQ tumors, but OT tumors required implantation at two rather than four weeks post-humanization for successful engraftment. Finally, utilizing adult bone marrow instead of fetal livers enabled partial HLA-matching to HCC tumors but required more CD34+ cells.

Human GM-CSF and IL-3 expression in humanized mice resulted in features more closely approximating the immune microenvironment of human disease, providing a promising model for investigating critical questions in immunotherapy for HCC.

This study introduces a unique mouse model at a critical point in the evolution of treatment paradigms for patients with hepatocellular carcinoma (HCC). Immunotherapies have become first line treatment for advanced HCC; however, response rates remain low with no clear predictors of response to guide patient selection. In this context, animal models that recapitulate human disease are greatly needed. Leveraging xenograft tumors derived from patients with advanced HCCs and a commercially available immunodeficient mouse strain that expresses human GM-CSF and IL-3, we demonstrate a novel but accessible approach for modeling the HCC tumor microenvironment.

Given the high malignancy of liver cancer and the liver's unique role in immune and metabolic regulation, current treatments have limited efficacy, resulting in a poor prognosis. Hydrogels, soft 3-dimensional network materials comprising numerous hydrophilic monomers, have considerable potential as intelligent drug delivery systems for liver cancer treatment. The advantages of hydrogels include their versatile delivery modalities, precision targeting, intelligent stimulus response, controlled drug release, high drug loading capacity, excellent slow-release capabilities, and substantial potential as carriers of bioactive molecules. This review presents an in-depth examination of hydrogel-assisted advanced therapies for hepatocellular carcinoma, encompassing small-molecule drug therapy, immunotherapy, gene therapy, and the utilization of other biologics. Furthermore, it examines the integration of hydrogels with conventional liver cancer therapies, including radiation, interventional therapy, and ultrasound. This review provides a comprehensive overview of the numerous advantages of hydrogels and their potential to enhance therapeutic efficacy, targeting, and drug delivery safety. In conclusion, this review addresses the clinical implementation of hydrogels in liver cancer therapy and future challenges and design principles for hydrogel-based systems, and proposes novel research directions and strategies.

Tumor microenvironment (TME) is essential for the development and progression of hepatocellular carcinoma (HCC). Exosomes participate in constructing TME by passing biological information, but the regulatory effect of PDL1 in exosomes on anticancer activity of CD8+ T cells in HCC still needs to be further explored. In this study, high level of PDL1 was found in plasma exosomes of HCC patients, which turned out to be significantly associated with the increased number of tumor nodules, the upregulated level of serum AFP, the raised tendency of TNM stage, and the poor prognosis of HCC. The expression of CD8 may be inhibited in HCC that is characterized with high level of PDL1, and the protein level of exosomal PDL1 was determined by intracellular PDL1 abundance. High level of exosomal PDL1 inhibited the proliferation and activation of CD8+ T cells, but exhibited limited effect on the proliferation of hepatic cancer cells. Moreover, the growth of tumors formed by hepatic cancer cells Hepa1-6 in C57L mice was significantly promoted by the exosomal PDL1, which might be caused by the inhibitory effect of exosomal PDL1 on CD8+ T cells. Thus, exosomal PDL1 promotes the development and progression of HCC through inhibiting the anticancer activity of CD8+ T cells. This study provides sights for understanding the oncogenic role of PDL1 and a reasonable explanation for the low efficacy of anti-PD1/PDL1 immunotherapies in HCC.

Immunohistochemical staining of programmed death-ligand 1 (PD-L1) in tumor biopsies acquired through invasive procedures is routinely employed in clinical practice to identify patients who are most likely to benefit from anti-programmed cell death protein 1 (PD-1) therapy. Nevertheless, PD-L1 expression is observed in various cellular subsets within tumors and their microenvironments, including tumor cells, dendritic cells, and macrophages. The impact of PD-L1 expression across these different cell types on the responsiveness to anti-PD-1 treatment is yet to be fully understood.

We synthesized polymer-based lysosome-targeting chimeras (LYTACs) that incorporate both PD-L1-targeting motifs and liver cell-specific asialoglycoprotein receptor (ASGPR) recognition elements. Small-animal positron emission tomography (PET) imaging of PD-L1 expression was also conducted using a PD-L1-specific radiotracer 89Zr-αPD-L1/Fab.

The PD-L1 LYTAC platform was capable of specifically degrading PD-L1 expressed on liver cancer cells through the lysosomal degradation pathway via ASGPR without impacting the PD-L1 expression on host cells. When coupled with whole-body PD-L1 PET imaging, our studies revealed that host cell PD-L1, rather than tumor cell PD-L1, is pivotal in the antitumor response to anti-PD-1 therapy in a mouse model of liver cancer.

The LYTAC strategy, enhanced by PET imaging, has the potential to surmount the limitations of knockout mouse models and to provide a versatile approach for the selective degradation of target proteins in vivo. This could significantly aid in the investigation of the roles and mechanisms of protein functions associated with specific cell subsets in living subjects.

To investigate the influence of transarterial embolization (TAE) on programmed cell death-ligand 1(PD-L1) expression and CD8+T tumour infiltrative lymphocyte cytotoxicity in the Sprague-Dawley (SD) rat model of hepatocellular carcinoma (HCC).

An orthotopic HCC model was established in twenty SD rats treated with TAE (lipiodol, n = 10) or sham (normal saline, n = 10) using homologous N1S1 hepatoma cells. Rats were euthanized 1 week after embolization. Flow cytometry was used to assess the proportion of CD4+T, CD8+T and programmed cell death-1+(PD-1+) CD8+T lymphocytes in the spleens and tumours. Distribution of CD8+T, granzyme-B+CD8+T lymphocytes and PD-L1+ cells was assessed by immunohistochemistry (IHC) or multiplex IHC. p value < 0.05 was considered statistically significant.

The CD4/CD8 ratio and PD-1+CD8+ T lymphocytes exhibited higher values in TAE-treated tumours compared to sham-treated tumours (p = 0.021 and p = 0.071, respectively). Conversely, the number of CD8+T lymphocytes was decreased in TAE-treated tumours (p = 0.043), especially in the central region (p = 0.045). However, more CD8+T lymphocytes were found infiltrating the marginal region than central region in TAE-treated tumours (p = 0.046). The proportion of granzyme-B+CD8+T lymphocytes and the PD-L1 positive areas was elevated in tumours that treated with TAE (p all < 0.05). There was a negative correlation between PD-L1 expression and the number of infiltration of CD8+ T lymphocytes (p = 0.036).

Immune cells are distributed unevenly in the tumours after TAE. The intrinsic induction state of the tumour after embolization may be insufficient to elicit a maximal response to PD-1/PD-L1 inhibitors.

Transarterial chemoembolization combined with lenvatinib and PD-1 inhibitor (triple therapy) has displayed encouraging clinical outcomes for unresectable hepatocellular carcinoma (uHCC). We aimed to explore the prognostic value of pathological response (PR) in patients with initially uHCC who underwent conversion surgery following triple therapy and identify predictors of major pathological response (MPR).

A total of 76 patients with initially uHCC who underwent conversion surgery following triple therapy were retrospectively analyzed. PR was calculated as the proportion of nonviable tumor cell surface area of the whole tumor bed surface area. MPR was identified when PR was ≥90%. Pathological complete response (pCR) was defined as the absence of viable tumor cells.

MPR and pCR were identified in 53 (69.7%) and 25 (32.9%) patients, respectively. The 1- and 2-year overall survival in patients with MPR were significantly higher than in those without MPR (100.0% and 91.3% vs. 67.7% and 19.4%; p < 0.001). The corresponding recurrence-free survival was also improved in patients with MPR compared to those without (75.9% and 50.8% vs. 22.3% and 11.2%; p < 0.001). Similar results were observed among patients with pCR and those without. Patients who achieved MPR without pCR exhibited survival rates comparable to those of patients who achieved pCR. Baseline neutrophil-to-lymphocyte ratio ≥2.6 (p = 0.016) and preoperative alpha-fetoprotein level ≥400 ng/mL (p = 0.015) were independent predictors of MPR.

The presence of MPR or pCR could improve prognosis in patients with initially uHCC who underwent conversion surgery following triple therapy. The PR may become a surrogate marker for predicting the prognosis of these patients.

Hepatocellular carcinoma (HCC) ranks as the third leading cause of cancer-related deaths, constituting 75%-85 % of all primary liver cancers. The objective of this study was to develop a necroptosis-related gene signature using single-cell and bulk RNA sequencing to predict HCC patient prognoses.

A total of 25 key necroptosis regulators were identified from previous literature. We evaluated the necroptosis scores of different cell types using single-cell sequencing data from HCC and analyzed 168 necroptosis-related genes. The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) dataset served as the training set for establishing a novel necroptosis-related gene risk signature, employing univariate and multivariate Cox regression analyses. Additionally, the study examined the model's relevance in immunity and immunotherapy, and predicted chemosensitivity in HCC patients based on the gene signature. The key genes were validated by the biological experiments.

Compared to other cell types, hepatoma cells displayed the lowest necroptosis scores. A new six-gene necroptosis-related signature (S100A11, MAGEC2, MAGEA6, CTP2C9, SOX4, AKR1B10) was developed using the TCGA database and validated in the ICGC database. Patients in the high-risk category had poorer prognoses, with the risk score serving as an independent prognostic indicator beyond other clinical factors. These high-risk patients also exhibited greater immune infiltration but demonstrated a weaker anti-tumor response due to elevated expression of immune checkpoints. Pathways involving hypoxia, glycolysis, and P53, as well as the frequency of P53 somatic mutations, were notably heightened in the high-risk group. Additionally, the six genes in the model showed significantly different mRNA expression in hepatoma cell lines compared to normal hepatocytes, with the role of MAGEA6 in liver cancer being elucidated through critical experiments.

This study successfully developed a six-gene necroptosis-related signature to predict prognoses in HCC patients. It further explored the roles of necroptosis in hepatoma cells and the tumor microenvironment.

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

The purpose of the study described was to establish prediction models to initially screen the beneficiary patients with unresectable hepatocellular carcinoma (HCC) in the treatment of anti-vascular endothelial growth factor (VEGF) agents plus anti-programmed cell death-1 (PD-1) antibody.

A total of 62 patients were enrolled in this study. All patients underwent ultrasound (US), color ddoppler flowing imaging (CDFI), contrast-enhanced ultrasound (CEUS) and laboratory examinations within 2 wk before the treatment. Tumor response was assessed according to mRECIST criteria. Univariate and multivariate analyses were used to select the independent predictors. US + CDFI, CEUS and FULL models were established. Three models were displayed by nomography. Receiver operating characteristic (ROC) and calibration curves were drawn to evaluate the predictive ability of models. Decision curve analysis (DCA) was used to assess the clinical utility of models.

On univariate and multivariate analysis, the US boundary (p = 0.037), halo (p = 0.002) and CDFI (p = 0.024) were included in the US + CDFI model. CEUS boundary (p = 0.001) and washout time (p < 0.001) were included in the CEUS model. The number of lesions (p = 0.104), halo on US (p = 0.014), CDFI (p = 0.057) and washout time on CEUS (p = 0.015) were incorporated into the FULL model. The C indices of the US + CDFI, CEUS and FULL models were 0.918, 0.920 and 0.973. CEUS and FULL models yielded a good net benefit for almost all threshold probabilities.

Nomograms based on US, CDFI, CEUS and clinical characteristics could help to non-invasively predict the response to treatment with anti-PD-1 antibodies plus anti-VEGF agents.

Liver cancer is a highly lethal malignancy with frequent recurrence, widespread metastasis, and low survival rates. The aim of this study was to explore the role of Endoglin (ENG) in liver cancer progression, as well as its impacts on angiogenesis, immune cell infiltration, and the therapeutic efficacy of sorafenib.

A comprehensive evaluation was conducted using online databases Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA), 76 pairs of clinical specimens of tumor and adjacent non-tumor liver tissue, and tissue samples from 32 hepatocellular carcinoma (HCC) patients treated with sorafenib. ENG expression levels were evaluated using quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR), Western blot, and immunohistochemical analysis. Cox regression analysis, Spearman rank correlation analysis, and survival analysis were used to assess the results. Functional experiments included Transwell migration assays and tube formation assays with Human Umbilical Vein Endothelial Cells (HUVECs).

Tumor cells exhibited retro-differentiation into endothelial-like cells, with a significant increase in ENG expression in these tumor-derived endothelial cells (TDECs). High expression of ENG was associated with more aggressive cancer characteristics and worse patient prognosis. Pathway enrichment and functional analyses identified ENG as a key regulator of immune responses and angiogenesis in liver cancer. Further studies confirmed that ENG increases the expression of Collagen type Iα1 (COL1A1), thereby promoting angiogenesis in liver cancer. Additionally, HCC patients with elevated ENG levels responded well to sorafenib treatment.

This study found that ENG is an important biomarker of prognosis in liver cancer. Moreover, ENG is associated with endothelial cell differentiation in liver cancer and plays a crucial role in formation of the tumor vasculature. The assessment of ENG expression could be a promising strategy to identify liver cancer patients who might benefit from targeted immunotherapies.

Cancer is a leading cause of death worldwide. Around one-third of the total global cancer incidence and mortality are related to gastrointestinal (GI) cancers. Over the past few years, rapid developments have been made in patient-derived organoid (PDO) models for gastrointestinal cancers. By closely mimicking the molecular properties of their parent tumors in vitro, PDOs have emerged as powerful tools in personalized medicine and drug discovery. Here, we review the current literature on the application of PDOs of common gastrointestinal cancers in the optimization of drug treatment strategies in the clinic and their rising importance in pre-clinical drug development. We discuss the advantages and limitations of gastrointestinal cancer PDOs and outline the microfluidics-based strategies that improve the throughput of PDO models in order to extract the maximal benefits in the personalized medicine and drug discovery process.

Immune checkpoint inhibitor (ICI)-based combination therapy modalities for hepatocellular carcinoma (HCC) have achieved significant efficacy in clinical research and practice and have become the mainstay for the treatment of unresectable HCC.

To better help clinicians use combination immunotherapy drugs and regimens rationally, effectively, and safely, the editorial board facilitated a discussion with multidisciplinary experts in the field, adopted the "Delphi" consensus formation method, and finally revised and completed the "Chinese Multidisciplinary Expert Consensus on the Immune Checkpoint Inhibitors (ICIs)-Based Combination Therapy for Hepatocellular Carcinoma (2023 Edition)" on the basis of the 2021 edition.

This consensus primarily focuses on the principles and methods of clinical practice of combination therapy based on ICIs, aiming to summarize the recommendations for clinical application based on the latest research and expert experience and provide application guidance for clinicians.

Hepatocellular carcinoma (HCC) poses a significant clinical challenge because the long-term benefits of immune checkpoint blockade therapy are limited. A comprehensive understanding of the mechanisms underlying immunotherapy resistance in HCC is imperative for improving patient prognosis.

In this study, to systematically investigate the characteristics of cancer-associated fibroblast (CAF) subsets and the dynamic communication among the tumor microenvironment (TME) components regulated by CAF subsets, we generated an HCC atlas by compiling single-cell RNA sequencing (scRNA-seq) datasets on 220 samples from six datasets. We combined spatial transcriptomics with scRNA-seq and multiplexed immunofluorescence to identify the specific CAF subsets in the TME that determine the efficacy of immunotherapy in HCC patients.

Our findings highlight the pivotal role of POSTN+ CAFs as potent immune response barriers at specific tumor locations, as they hinder effective T-cell infiltration and decrease the efficacy of immunotherapy. Additionally, we elucidated the interplay between POSTN+ CAFs and SPP1+ macrophages, whereby the former recruits the latter and triggers increased SPP1 expression via the IL-6/STAT3 signaling pathway. Moreover, we demonstrated a spatial correlation between POSTN+ CAFs and SPP1+ macrophages, revealing an immunosuppressive microenvironment that limits the immunotherapy response. Notably, we found that patients with elevated expression levels of both POSTN+ CAFs and SPP1+ macrophages achieved less therapeutic benefit in an immunotherapy cohort.

Our research elucidates light on the role of a particular subset of CAFs in immunotherapy resistance, emphasizing the potential benefits of targeting specific CAF subpopulations to improve clinical responses to immunotherapy.

The integrated stress response (ISR) is activated in response to intrinsic and extrinsic stimuli, playing a role in tumor progression and drug resistance. The regulatory role and mechanism of ISR in liver cancer, however, remain largely unexplored. Here, we demonstrate that OTU domain-containing protein 3 (OTUD3) is a deubiquitylase of eukaryotic initiation factor 2α (eIF2α), antagonizing ISR and suppressing liver cancer. OTUD3 decreases interactions between eIF2α and the kinase EIF2ΑK3 by removing K27-linked polyubiquitylation on eIF2α. OTUD3 deficiency in mice leads to enhanced ISR and accelerated progression of N-nitrosodiethylamine-induced hepatocellular carcinoma. Additionally, decreased OTUD3 expression associated with elevated eIF2α phosphorylation correlates with the progression of human liver cancer. Moreover, ISR activation due to decreased OTUD3 expression renders liver cancer cells resistant to sorafenib, while the combined use of the ISR inhibitor ISRIB significantly improves their sensitivity to sorafenib. Collectively, these findings illuminate the regulatory mechanism of ISR in liver cancer and provide a potential strategy to counteract sorafenib resistance.

There is a lack of precision in the immunotherapy strategy tailored for patients exhibiting diverse clinical characteristics. This study aims to employ a rigorous network meta-analysis (NMA) approach to systematically evaluate the effectiveness of immune-combination therapies among patients with advanced hepatocellular carcinoma, taking into account their varying clinico-characteristics.

Studies were retrieved from PubMed, Embase, Cochrane Library, and Web of Science databases. The included first-line phase III studies were categorized into three types: immunotherapy combined with anti-angiogenetic agents, immunotherapy combined with tyrosine kinase inhibitors, and dual immunotherapy, with sorafenib serving as the control group. The primary endpoint used to assess efficacy was overall survival (OS), facilitating a comparative analysis among the three treatment modalities. Furthermore, subgroup analyses were conducted to evaluate the varying effectiveness for patients with diverse clinico-characteristics. Secondary outcome measures included progression-free survival, objective response rate, and toxicity assessment.

A total of 6 studies were included in the NMA, encompassing a cohort of 3840 patients. The results revealed that immunotherapy combined with anti-angiogenetic agents exhibited a significantly enhanced therapeutic effect in terms of improving OS compared to sorafenib (HR = 0.61, 95% CrI, 0.42-0.90). Furthermore, based on various clinicopathological features, this combination therapy demonstrated superior OS responses in specific patient subgroups: BCLC C (HR = 0.63, 95% CrI, 0.42-0.93), ECOG 1 (HR = 0.57, 95% CrI, 0.36-0.91), with extrahepatic spread (EHS) (HR = 0.59, 95% CrI, 0.37-0.92), alpha fetoprotein (AFP)<400ng/ml (HR = 0.56, 95% CrI, 0.33-0.94) and viral hepatitis positivity (HR = 0.56, 95% CrI, 0.39-0.77) (especially HBV (HR = 0.58, 95% CrI, 0.40-0.85)). Importantly, the advantage of this combination therapy was even more pronounced in patients with viral hepatitis positivity. Also, the adverse events associated with immunotherapy combined with antiangiogenic drugs were moderate.

Immunotherapy combined with anti-angiogenetic agents could represent the most effective first-line intervention for achieving improved OS, particularly in patients with viral hepatitis positivity.

Golgi protein 73 (GP73), a resident protein of the Golgi apparatus, is notably elevated in hepatocellular carcinoma (HCC). While its critical role in remodeling the tumor microenvironment (TME) is recognized, the intricate mechanisms are not fully understood. This study reveals that GP73 in HCC cells interacts with prolyl hydroxylase-2 (PHD-2) in a competitive manner, thereby impeding the hydroxylation of hypoxia-induced factor-1α (HIF-1α). The effect above promotes the production and secretion of vascular endothelial growth factor A (VEGFA). Moreover, exosomal GP73 derived from HCC cells can be internalized by human umbilical vein endothelial cells (HUVECs) and competitively interact with HECTD1, an E3 ubiquitin ligase targeting growth factor receptor-bound protein 2 (GRB2). This interaction stabilizes GRB2, thereby activating the Ras-mitogen-activated protein kinase (MAPK) signaling pathway. Consequently, escalated levels of GP73 intensify VEGF production in HCC cells and potentiate mitogenic signaling in vascular endothelial cells, fostering angiogenesis in the TME. Our findings propose that GP73 might serve as a novel target for anti-angiogenic therapy in HCC.

MicroRNAs (miRNAs) were involved in tumorigenesis, progression, recurrence and drug resistance of hepatocellular carcinoma (HCC). However, few miRNAs have been identified and entered clinical practice. We show here that miR-4461 expression is reduced in liver cancer stem cells (CSCs) and predicts the poor prognosis of HCC patients. Knockdown of miR-4461 enhances the self-renewal and tumorigenicity of liver CSCs. Conversely, forced miR-4461 expression inhibits liver CSCs self-renewal and tumorigenesis. Mechanically, miR-4461 directly targets sirtuin 1 (SIRT1) via binding to its 3' untranslated region in liver CSCs. The correlation of miR-4461 and SIRT1 was confirmed in human HCC patients' tissues. Additionally, we found that miR-4461 overexpression hepatoma cells are more sensitive to cisplatin treatment. Patient-derived xenografts also showed that miR-4461 high HCC xenografts are sensitive to cisplatin treatment. Clinical cohort analysis further confirmed that HCC patients with high miR-4461 benefited more from transcatheter arterial chemoembolization treatment. In conclusion, our findings revealed the crucial role of miR-4461 in liver CSCs expansion and cisplatin response, rendering miR-4461 as an optimal target for the prevention and intervention of HCC.

Non-apoptotic regulated cell death (RCD) of tumor cells profoundly affects tumor progression and plays critical roles in determining response to immune checkpoint inhibitors (ICIs). Prognosis-distinctive HCC subtypes were identified by consensus cluster analysis based on the expressions of 507 non-apoptotic RCD genes obtained from databases and literature. Meanwhile, a set of bioinformatic tools was integrated to analyze the differences of the tumor immune microenvironment infiltration, genetic mutation, copy number variation, and epigenetics alternations within two subtypes. Finally, a non-apoptotic RCDRS signature was constructed and its reliability was evaluated in HCC patients' tissues. The high-RCDRS HCC subgroup showed a significantly lower overall survival and less sensitivity to ICIs compared to low-RCDRS subgroup, but higher sensitivity to cisplatin, paclitaxel, and sorafenib. Overall, we established an RCDRS panel consisting of four non-apoptotic RCD genes, which might be a promising predictor for evaluating HCC prognosis, guiding therapeutic decision-making, and ultimately improving patient outcomes.