Immunotherapy with immune checkpoint inhibitors (ICI) in hepatocellular carcinoma (HCC) patients only achieves response rates of 25%-30%, indicating the necessity of new therapies for non-responder patients. Since myeloid-related suppressive factors are associated with poor responses to ICI in a subgroup of HCC patients, modulation of these targets may improve response rates. Our aim was to characterize the expression of the efferocytosis receptor MERTK in HCC and to analyze its potential as a new therapeutic target. In HCC patients, MERTK was expressed by myeloid cells and was associated with poorer survival. In a murine HCC model with progressive myeloid cell infiltration, MERTK was detected in dendritic cells and macrophages with an activated phenotype, which overexpressed the checkpoint ligand PD-L1. Concomitant expression of PD-1 in tumor T-cells suggested the pertinence of combined PD-1/PD-L1 and MERTK blockade. In vivo experiments in mice showed that inhibition of MERTK improved the therapeutic effect promoted by anti-PD-1 or by ICI combinations currently approved for HCC. This effect was associated with enhanced tumor infiltration and superior activity of antigen presenting cells and effector lymphocytes. Our results indicate that MERTK may behave as a relevant target for immunotherapeutic combinations in those HCC patients with tumors enriched in a myeloid component.

Over the past years, there has been a remarkable advance in the systemic treatment options for advanced HCC. The overall survival has gradually increased over time, with larger benefits for patients with sensitive tumors and preserved liver function, the latter being an essential condition for the delivery of sequential lines of treatment and optimization of clinical outcomes. With the approval of new first-line agents and the introduction of immune checkpoint inhibitor-based therapies, the treatment landscape of advanced HCC is becoming wider than ever. Atezolizumab plus bevacizumab and, more recently, durvalumab plus tremelimumab have entered the clinical practice and are the current standard of care for treatment-naïve patients, surpassing sorafenib and lenvatinib monopoly. As no head-to-head comparisons are available among all the first-line treatment options, the recommendation for the most appropriate choice and sequence is patient-driven and integrates efficacy data with clinical comorbidities, background liver disease, and the safety profile of available drugs. In addition, predictive biomarkers for successful patients' stratification are yet to be available and constitute the focus of ongoing research. The treatment algorithm is likely to become even more complex since systemic therapeutic approaches are now being translated into earlier stages of the disease, with an impact on the evolution of the sequential treatment of patients with HCC.

Despite atezolizumab plus bevacizumab being a standard treatment for advanced hepatocellular carcinoma (HCC), a significant proportion of patients do not achieve durable benefit. This study aimed to identify predictive biomarkers for this therapy by investigating the role of immune activation within the tumor microenvironment (TME).

We characterized the intratumoral TME of patients with advanced HCC treated with atezolizumab plus bevacizumab using single cell transcriptomics on pretreatment tumor biopsies from 12 patients. To complement and support these findings, we integrated our single cell data with publicly available bulk RNA-sequencing data from independent clinical trial cohorts.

Patients who responded to combination therapy with atezolizumab plus bevacizumab demonstrated an immune-activated TME, marked by enhanced cytotoxicity and a tumor-specific T cell response. These patients also exhibited an increased proportion of inflammatory cytokine-enriched tumor-associated macrophage clusters with stronger interactions with T cells, an increased population of conventional dendritic cells, and activated antigen-presenting function in tumor endothelial cells. When publicly available bulk RNA-sequencing data from independent clinical trial cohorts were analyzed, these immune activation features were associated with improved progression-free survival (median 10.8 months, 95% CI: 7.3-not reached versus 5.5 months, 95% CI: 4.0-6.7; p <0.001).

These findings suggest that the existence of an activated immune TME before treatment is crucial for a favorable clinical response in patients with HCC treated with atezolizumab plus bevacizumab.

Only a subset of patients with HCC benefit from combination therapy with atezolizumab plus bevacizumab, limiting its clinical utility. In this study, we used single cell RNA analysis to identify TME features associated with a clinical response to this therapy. Our findings suggest that a pre-existing immune-activated TME is crucial for predicting the response to atezolizumab plus bevacizumab. Specifically, features such as enhanced T cell cytotoxicity, inflammatory cytokine-enriched macrophage clusters, active antigen presentation in endothelial cells, and an increased presence of dendritic cells may aid patient selection and inform therapeutic strategies.

Hepatic stellate cells (HSCs) are the liver's pericytes, and play key roles in liver homeostasis, regeneration, fibrosis, and cancer. Upon injury, HSCs activate and are the main origin of myofibroblasts and cancer-associated fibroblasts (CAFs) in liver fibrosis and cancer. Primary liver cancer has a grim prognosis, ranking as the third leading cause of cancer-related deaths worldwide, with hepatocellular carcinoma (HCC) being the predominant type, followed by intrahepatic cholangiocarcinoma (iCCA). Moreover, the liver hosts 35% of all metastatic lesions. The distinct spatial distribution and functional roles of HSCs across these malignancies represent a significant challenge for universal therapeutic strategies, requiring a nuanced and tailored understanding of their contributions. This review examines the heterogeneous roles of HSCs in liver cancer, focusing on their spatial localization, dynamic interactions within the tumor microenvironment (TME), and emerging therapeutic opportunities, including strategies to modulate their activity, and harness their potential as targets for antifibrotic and antitumor interventions.

A 61-year-old female patient with advanced intrahepatic cholangiocarcinoma diagnosed based on imaging and tumor biopsy findings was treated with combination therapy comprising gemcitabine, cisplatin, and durvalumab. After eight cycles of therapy comprising gemcitabine, cisplatin, and durvalumab and two subsequent cycles of maintenance immunotherapy, significant tumor shrinkage enabled conversion surgery with R0 resection. The tumor immune microenvironment has a critical role in predicting the efficacy of combined immunotherapy in some types of cancer; however, its role in advanced intrahepatic cholangiocarcinoma remains largely unclear. In the current case, the tumor exhibited increased infiltration of CD8 T cells before treatment, and significant increase in CD8 T-cell infiltration, decrease in Treg/CD8 ratio, and development of tertiary lymphoid structures were observed after treatment. Pretreatment tumor immune microenvironment analyses may predict treatment outcomes and optimize strategies for advanced intrahepatic cholangiocarcinoma. Therapy comprising gemcitabine, cisplatin, and durvalumab and immune-based approaches may enhance personalized medicine for patients with advanced intrahepatic cholangiocarcinoma.

Immunotherapy has improved survival in patients with advanced hepatocellular carcinoma (HCC); yet, objective radiological responses occur in only about 20% of cases, suggesting variable benefits. This study aimed to identify serologic markers predictive of response to immune checkpoint inhibitors (ICIs). A cohort of 38 advanced HCC patients receiving immunotherapy was prospectively analyzed. Levels of cell-free DNA (cfDNA), circulating tumor DNA (ctDNA), and cytokines were measured pre-treatment and three months post-treatment initiation. Genomic profiling of ctDNA was also conducted. Baseline levels of cfDNA and ctDNA effectively discriminated HCC patients based on their radiological response to ICIs. Additionally, individuals with pathologic mutations in the CDKN2A gene exhibited significantly reduced survival. Patients with progressive disease (PD) as their best radiological response had significantly fewer copy number variations (CNVs) than those with a radiological response. Furthermore, levels of IL10, PD1, and TGFβ assessed after three months of treatment showed significant variations correlating with survival status. In conclusion, the analysis of cfDNA, ctDNA, and cytokines may improve treatment selection for HCC patients by predicting their expected response to immunotherapies.

Hepatocellular carcinoma (HCC) with microvascular invasion (MVI) is associated with high recurrence and poor survival outcomes. Although adjuvant therapies such as transcatheter arterial chemoembolization (TACE), targeted therapy, and immunotherapy show potential in improving outcomes, the optimal postoperative treatment strategy remains undetermined. This study evaluates the efficacy of different adjuvant treatments on disease-free survival (DFS) and overall survival (OS) in HCC patients with MVI following curative resection.

A retrospective cohort of 409 HCC patients with MVI who underwent curative resection from three clinical centers between 2017 and 2024 was analyzed. Patients were stratified into three groups: TACE alone (n=132), TACE + targeted therapy (n=58), and TACE + targeted immunotherapy (n=68). Propensity score matching (PSM) was employed to balance confounding factors. Kaplan-Meier survival curves and Cox regression models were used to assess DFS and OS. A nomogram was constructed for individualized DFS prediction.

After PSM, both the TACE + targeted therapy and TACE + targeted immunotherapy groups exhibited significantly prolonged DFS compared to TACE alone (median DFS: 16 vs 22 and 21 months, respectively; p=0.027). No significant differences were observed in OS across the groups. The nomogram for DFS demonstrated robust predictive performance, with a C-index of 0.709 and 0.645 in the training and validation cohorts, respectively, supporting its utility in clinical decision-making.

In HCC patients with MVI, adjuvant TACE combined with targeted therapy or targeted immunotherapy significantly enhances DFS, though no OS benefit was observed. The developed nomogram provides a reliable tool for risk stratification and personalized postoperative management in this high-risk patient population.

Although ACVR2A mutations are prevalent in non-viral hepatocellular carcinomas (HCCs), the underlying mechanism remains unelucidated. Our molecular investigation reveals that ACVR2A impairment induces hyperglycolysis through the inactivation of the SMAD signaling pathway. Using syngeneic transplantation models and human clinical samples, we clarify that ACVR2A-deficient HCC cells produce and secrete lactate via the upregulation of lactate dehydrogenase A (LDHA) and monocarboxylate transporter 4 (MCT4) expression levels, which promotes regulatory T (Treg) cell accumulation and then acquires resistance to immune checkpoint inhibitors. Remarkably, genetic knockdown and pharmacological inhibition of MCT4 ameliorate the high-lactate milieu in ACVR2A-deficient HCC, resulting in the suppression of intratumoral Treg cell recruitment and the restoration of the sensitivity to PD-1 blockade. These findings furnish compelling evidence that lactate attenuates anti-tumor immunity and that therapeutics targeting this pathway present a promising strategy for mitigating immunotherapy resistance in ACVR2A-deficient HCC.

Melatonin, also known as the pineal hormone, is secreted by the pineal gland and primarily regulates circadian rhythms. Additionally, it possesses immunomodulatory properties and anticancer effects. However, its specific mechanism in hepatocellular carcinoma (HCC) remains unclear, particularly regarding its effect on HCC-mediated immune escape through PD-L1 expression.In this study, in vitro experiments were conducted using Huh7 and HepG2 HCC cells. Melatonin treatment was applied to both cell types to observe changes in malignant phenotypes. Additionally, melatonin-pretreated Huh7 or HepG2 cells were co-cultured with T cells to simulate the tumor microenvironment. The results showed that melatonin inhibited cancer cell proliferation, migration, and invasion, as well as reduced PD-L1 expression in cancer cells, exhibiting similar anti-cancer effects in the co-culture system. In vivo experiments involved establishing ascitic HCC mouse models using H22 cells, followed by subcutaneous tumor models in Balb/c nude and Balb/c wild-type mice. Melatonin inhibited tumor growth and suppressed PD-L1 expression in cancer tissues in both subcutaneous tumor models, and it increased T lymphocyte activity in the spleen of Balb/c wild-type mice. Overall, the in vitro and in vivo experiments demonstrated that melatonin has dual anti-cancer effects in HCC: direct intrinsic anti-cancer activity and enhancement of anti-tumor immunity by reducing PD-L1 expression thereby inhibiting cancer immune escape. Furthermore, a decrease in the expression of the upstream molecule HIF-1α of PD-L1 and an increase in the expression levels of JNK, P38, and their phosphorylated forms were detected. Thus, the mechanism by which melatonin reduces PD-L1 may involve the downregulation of HIF-1α expression or the activation of the MAPK-JNK and MAPK-P38 pathways. This provides new insights and strategies for HCC treatment.

Hepatocellular carcinoma (HCC) is increasing in prevalence globally, and cure remains limited with non-operative treatment. Surgical intervention, through resection or transplantation, offers a potential for cure for select patients. However, many patients present with advanced or unresectable disease, and recurrence rates remain high. Recent advances in systemic therapies, particularly immune checkpoint inhibitors, have demonstrated promise in treating unresectable HCC and as adjuvant therapy. Evidence from adjuvant trials highlights the synergistic potential of combined liver-directed and systemic therapies. These findings have ignited growing interest in neoadjuvant therapy across various scenarios: (1) as a bridging strategy while awaiting transplantation, (2) for downstaging disease to enable transplantation, (3) for converting unresectable disease to a resectable state, or (4) as neoadjuvant treatment in operable cases. Early-stage trials of neoadjuvant therapy in resectable HCC have reported promising outcomes. To realize the potential of neoadjuvant treatment for HCC, thoughtfully designed, adequately powered, multi-center clinical trials are essential.

Hepatocellular carcinoma presents strong sexual dimorphism, being two to three times more frequent in males than in females; however, the role of sex in response to immunotherapies in HCC remains unknown. We demonstrate that NOTCH1, an understudied oncogene in HCC, elicits sexually dimorphic antitumor immunity and response to FDA-approved immunotherapies. Surprisingly, males harboring NOTCH1-driven tumors displayed enhanced antitumor immune responses, which, in mice, were mediated by dendritic and T cells. Conversely, females harboring NOTCH1-driven tumors presented immune evasion and resistance to immunotherapies through a defect in dendritic cell (DC)-mediated priming and activation of CD8+ T cells in mice, which was restored therapeutically with CD40 agonism. Mechanistically, the sexually dimorphic immunity was mediated by genes in the sex chromosomes but not by sex hormones. Together, our study unravels an unexpected association between NOTCH1 and sex in cancer immunity and highlights the potential of restoring the DC-CD8+ T-cell axis with CD40 agonism to improve outcomes. Significance: Although HCC presents strong sexual dimorphism, the role of sex in response to immunotherapies remains elusive. With a novel HCC mouse model and validation in patients with HCC, we demonstrate that NOTCH1 disrupts antitumor immunity specifically in females through a mechanism mediated by sex chromosome genes, which is reversed with CD40 agonism. See related commentary by Zhu and Koltsova, p. 452.

Hepatocellular carcinoma is a leading and increasing contributor to cancer-related death worldwide. Recent advancements in both liver-directed therapies in the form of yttrium-90 (90Y) radioembolization (RE) and systemic therapy in the form of immune checkpoint inhibitors (ICI) have expanded treatment options for patients with an otherwise poor prognosis. Despite these gains, ICIs and 90Y-RE each have key limitations with low objective response rates and persistent hazard of out-of-field recurrence, respectively, and overall survival remains low. However, each therapy's strength may mitigate the other's weakness, making them potentially ideal partners for combination treatment strategies. This review discusses the scientific and clinical rationale for combining 90Y-RE with ICIs, highlights early clinical trial data on its safety and effectiveness, and proposes key issues to be addressed in this emerging field. With optimal strategies, combination therapies can potentially result in increasing likelihood of durable and curative outcomes in later stage patients.

A novel gene signature for MVD was developed. This MVD gene score enables the estimation of MVD, reflecting the sensitivity to antiangiogenic inhibitors, in transcriptomic datasets. We demonstrated the utility of the MVD gene score together with a T cell-inflamed gene signature for potential future use as a clinical biomarker.

Liver cancer, primarily HCC, exhibits highly heterogeneous histological and molecular aberrations across tumors and within individual tumor nodules. Such intertumor and intratumor heterogeneities may lead to diversity in the natural history of disease progression and various clinical disparities across the patients. Recently developed multimodality, single-cell, and spatial omics profiling technologies have enabled interrogation of the intertumor/intratumor heterogeneity in the cancer cells and the tumor immune microenvironment. These features may influence the natural history and efficacy of emerging therapies targeting novel molecular and immune pathways, some of which had been deemed undruggable. Thus, comprehensive characterization of the heterogeneities at various levels may facilitate the discovery of biomarkers that enable personalized and rational treatment decisions, and optimize treatment efficacy while minimizing the risk of adverse effects. Such companion biomarkers will also refine HCC treatment algorithms across disease stages for cost-effective patient management by optimizing the allocation of limited medical resources. Despite this promise, the complexity of the intertumor/intratumor heterogeneity and ever-expanding inventory of therapeutic agents and regimens have made clinical evaluation and translation of biomarkers increasingly challenging. To address this issue, novel clinical trial designs have been proposed and incorporated into recent studies. In this review, we discuss the latest findings in the molecular and immune landscape of HCC for their potential and utility as biomarkers, the framework of evaluation and clinical application of predictive/prognostic biomarkers, and ongoing biomarker-guided therapeutic clinical trials. These new developments may revolutionize patient care and substantially impact the still dismal HCC mortality.

This study aims to identify biomarkers for treatment response of atezolizumab plus bevacizumab (Atezo+Bev) in patients with hepatocellular carcinoma (HCC).

96 patients who received Atezo+Bev or lenvatinib as a first-line systemic therapy were enrolled as the training group after propensity score matching (PSM), and 42 patients treated with Atezo+Bev were enrolled as the validation group. 17 serum cytokines were measured by Luminex multiplex assay at the start of treatment. For further assessment of the association between cytokine levels and the tumor microenvironment (TME), immunohistochemistry (IHC) was performed on pre-treatment liver biopsy specimens.

In the derivation set, multivariate analysis identified elevated IL-6 as an independent risk factor in the Atezo+Bev group (HR 5.80: p<0.01), but not in the lenvatinib group; in a subset analysis of patients with low IL-6, PFS was longer in the Atezo+Bev training group than in the lenvatinib group (p = 0.02). A validation study also showed a significantly longer prognosis in the low IL-6 group for both PFS (p = 0.0001) and OS (p = 0.03). Serum IL-6 had a positive correlation with tumor IL-6 expression (ρ = 0.56, p < 0.0001) and an inverse correlation with the CD8/CD163-positive cell count ratio (ρ = -0.4, p < 0.01).

Serum IL-6 levels are thought to be involved in the suppression of tumor immunity and are useful in predicting the therapeutic effect of Atezo+Bev treatment.

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.

Variability in response to atezolizumab plus bevacizumab (AB) treatment of hepatocellular carcinoma (HCC) underscores the critical need for the development of effective biomarkers. We sought to identify peripheral blood biomarkers reflecting response to AB treatment.

We analyzed dynamic changes in peripheral blood mononuclear cells from a prospective, multicenter cohort of 65 patients with HCC, using flow cytometry to evaluate the T-cell population before and 3 weeks after the first AB treatment.

We found a unique response of the CD8+ T cells in terms of both frequency and phenotype, in contrast to CD4+ T cells and regulatory T cells. Notably, CD8+ T cells showed significant changes in expression of Ki-67 and T-cell immunoreceptors with Ig and ITIM domains (TIGIT). These distinct responses were observed particularly in the programmed cell death receptor-1 (PD-1)+ subpopulation of CD8+ T cells. Interestingly, the baseline differentiation status of PD-1+CD8+ T cells, particularly the central memory T-cell subset, correlated positively with greater proliferation (higher Ki-67 expression) of PD-1+CD8+ T cells after treatment. Moreover, effector memory cells expressing CD45RA correlated negatively with the increase in TIGIT+/PD-1+CD8+ T cells. The increase in TIGIT+/CD8+ T cells was associated with the development of immune-related adverse events, whereas increase in Ki-67+/PD-1+CD8+ T cells was associated with the better objective response rate. Importantly, dynamic shifts of Ki-67+/PD-1+CD8+ T cells and TIGIT+/CD8+ T cells significantly predicted progression-free survival and overall survival, as confirmed by multivariate analysis.

These findings highlight the potential of dynamic changes in CD8+ T cells as an on-treatment prognostic biomarker. Our study underscores the value of peripheral blood profiling as a noninvasive and practical method for predicting the clinical outcomes of AB treatment in patients with HCC.

Hepatocellular carcinoma (HCC) represents a global health challenge, and ranks among one of the most prevalent and deadliest cancers worldwide. Therapeutic advances have expanded the treatment armamentarium for patients with advanced HCC, but obstacles remain. Precision oncology, which aims to match specific therapies to patients who have tumours with particular features, holds great promise. However, its implementation has been hindered by the existence of numerous 'HCC influencers' that contribute to the high inter-patient heterogeneity. HCC influencers include tumour-related characteristics, such as genetic alterations, immune infiltration, stromal composition and aetiology, and patient-specific factors, such as sex, age, germline variants and the microbiome. This Review delves into the intricate world of HCC, describing the most innovative model systems that can be harnessed to identify precision and/or personalized therapies. We provide examples of how different models have been used to nominate candidate biomarkers, their limitations and strategies to optimize such models. We also highlight the importance of reproducing distinct HCC influencers in a flexible and modular way, with the aim of dissecting their relative contribution to therapy response. Next-generation HCC models will pave the way for faster discovery of precision therapies for patients with advanced HCC.

Cancer stem cells (CSCs) are central to tumor progression, metastasis, immune evasion, and therapeutic resistance. Characterized by remarkable self-renewal and adaptability, CSCs can transition dynamically between stem-like and differentiated states in response to external stimuli, a process termed "CSC plasticity." This adaptability underpins their resilience to therapies, including immune checkpoint inhibitors and adoptive cell therapies (ACT). Beyond intrinsic properties, CSCs reside in a specialized microenvironment-the CSC niche-which provides immune-privileged protection, sustains their stemness, and fosters immune suppression. This review highlights the critical role of CSCs and their niche in driving immunotherapy resistance, emphasizing the need for integrative approaches to overcome these challenges.

Over the past several years, the therapeutic landscape for patients with advanced, unresectable, or metastatic hepatocellular carcinoma has been transformed by the incorporation of checkpoint inhibitor immunotherapy into the treatment paradigm. Frontline systemic treatment options have expanded beyond anti-angiogenic tyrosine kinase inhibitors, such as sorafenib, to a combination of immunotherapy approaches, including atezolizumab plus bevacizumab and durvalumab plus tremelimumab, both of which have demonstrated superior response and survival to sorafenib. Additionally, combination treatments with checkpoint inhibitors and tyrosine kinase inhibitors have been investigated with variable success. In this review, we discuss these advances in systemic treatment with immunotherapy, with a focus on understanding both the underlying biology and mechanism of these strategies and their efficacy outcomes in clinical trials. We also review challenges in identifying predictive biomarkers of treatments and discuss future directions with novel immunotherapy targets.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. The combination of tremelimumab and durvalumab is now a standard treatment option for advanced HCC.

To study immune responses in HCC patients treated with tremelimumab and durvalumab.

We treated 28 HCC patients with durvalumab, tremelimumab and locoregional therapies. We performed a high-dimensional multiomics analysis including whole exome sequencing, single-cell RNA seq, CO-Detection by indEXing, flow cytometry and multiplex cytokine/chemokine analysis of patients' blood and tumour samples and integrated this data to elucidate immune correlatives and response mechanisms. Mice with syngeneic HCC were treated with anti-PD-L1 plus anti-CTLA4 for hepatic lymphocytes, tumour-infiltrating lymphocytes and peripheral blood mononuclear cell analysis.

The median overall survival was 19.2 months. Tumour tissue analysis revealed enhanced interferon responses, with stronger effects in responders. Gene set variation analysis indicated enhanced antigen presentation in responders. Spatial analysis revealed that non-responder tumours had higher numbers of Tregs located in neighbourhoods enriched with immune cells and expressed higher levels of ICOS and PD-1. Conversely, non-responder PD1+CD8+T in these Treg-enriched neighbourhoods expressed lower ICOS. Cell-communication analysis demonstrated that Treg-CD8+T interaction was enhanced in non-responder tissue. Peripheral blood analysis showed increased classical monocytes in responders and Tregs in non-responders. Treg-CD8+T interaction was confirmed in preclinical models. Finally, single-patient computational analysis from the all-across analysis was performed on 860 features, which led to the identification of multiomics feature sets including Treg features.

Our study provides a blueprint for in-depth analysis of immune correlates in immunotherapy studies and demonstrates the importance of Treg distribution in HCC.

NCT02821754 and the EudraCT identifier: 2019-002767-98.

Triple-negative breast cancer (TNBC) has a high early recurrence rate and poor prognosis. Given its insensitivity to traditional systemic chemotherapy, there is an urgent need for new therapeutic strategies for effective treatment. This paper reports the development of a novel two-dimensional MXene composite nanoplatform for efficient synergistic chemotherapy and photothermal therapy of TNBC.

To achieve surface functionalization of MXene, we developed a surface nanopore engineering strategy, enabling the uniform coating of a thin mesoporous silica layer on the two-dimensional Ti3C2 MXene surface. This strategy endows MXenes with well-defined mesopores for on-demand drug release/delivery and enhanced hydrophilicity/dispersibility. Systematic in vitro and in vivo evaluations demonstrate that Ti3C2@MSNs have high active targeting capability upon entering tumors, and through the synergistic chemotherapy of the mesoporous shell and the photothermal therapy of the Ti3C2 MXene core, tumors can be completely eradicated with no significant recurrence.

This study provides a new strategy for developing MXene-based composite nano drug delivery systems to effectively combat TNBC.

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

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

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

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

Mint3 enhances aerobic ATP production with subsequent nuclear translocation of hypoxia-inducible factor-1 (HIF-1) and activation of angiogenesis-related genes. It remains unclear if and when Mint3 is activated and whether it is involved in hepatocarcinogenesis. We explored the expression of Mint3 in surgically resected hepatocellular carcinoma (HCC) tissues. We evaluated the effects of Mint3 knockdown on spheroid formation capacity and subcutaneous tumor growth in immune-deficient mice. We used Mint3 knockout mice to evaluate the effects of chemically induced HCC development. Mint3 was overexpressed in well-differentiated HCC with the activation of HIF-1 target genes irrespective of the absence of hypervascularization. Mint3 knockdown ameliorated the expression of HIF-1 target genes in patient-derived HCC cell lines and suppressed spheroid formation. Mint3 knockdown further inhibited subcutaneous tumor formation in vivo in immune-deficient mice. Chemical HCC development induced by N-nitrosodiethylamine (DEN) or DEN/CCl4 was dramatically suppressed in Mint3 knockout mice compared to control mice. Mint3 plays a crucial role in early-stage HCC development before hypervascularization by activating HIF-1 target genes before the tumor becomes hypoxic. Mint3 is a molecular target that prevents HCC development in the early stages.

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

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

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

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

Hepatocellular carcinoma has a high incidence and poor prognosis. In this study, we investigated the value of T-cell-related genes in prognosis by single-cell sequencing data in hepatocellular carcinoma. Twelve cases of hepatocellular carcinoma single-cell sequencing were included in the study. The high dimensional weighted gene co-expression network analysis (hdWGCNA) was used to identify gene modules associated with CD4+ T cells, CD8+ T cells and exhausted T cells. Altered signaling pathway activity in exhausted T cells was uncovered by the AUCell algorithm. xCELL, TIMER, QUANTISEQ, CIBERSORT and CIBERSORT-abs were performed to explore immune cell infiltration. Immune checkpoint inhibitor genes and TIDE methods were used to predict immunotherapy response. Finally, immunohistochemistry and real-time PCR were used to verify gene expression. The hdWGCNA algorithm identified 40 genes strongly associated with CD4+ T cells, CD8+ T cells and exhausted T cells. Seven genes were finally selected for transcriptome data modeling. The results of the three independent datasets suggested that the model had strong prognostic value. Model genes were critical factors influencing CD4+ T cell and CD8+ T cell infiltration in patients. The efficacy of PD-1 immunotherapy was higher in patients belonging to the low-risk group. Alterations in signaling pathways' activity within exhausted T cells were crucial factors contributing to the decline in immune function. Differential expression of seven genes in CD8+ T cells, CD4+ T cells and exhausted T cells were key targets for improving immunotherapy response in HCC.

Immunotherapies are the preferred frontline treatment for most hepatocellular carcinomas (HCCs), but only a small subset of patients attain complete responses to immunotherapies, resulting in an absence of radiographic apparent disease. The clinical importance of these complete responses is unclear, and whether clinical or molecular features may define HCCs that are exquisitely sensitive to immunotherapies is ambiguous.

To describe the long-term survival outcomes of complete responders to immunotherapies, and to examine whether clinical and genomic characteristics are associated with complete response.

This cohort study includes a post hoc analysis of the IMbrave150 trial (which enrolled patients across 17 countries in North America, Europe, Asia, and Australia) and a multicenter cohort analysis of patients with advanced HCC treated with frontline immunotherapies across 3 institutions (2 in the US and 1 in Asia). Complete responders were defined as patients with a complete response according to Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 or modified RECIST. Statistical analyses were conducted from January to May 2024.

The main outcome was overall survival measured as the time from start of immunotherapy to the date of death. Kaplan-Meier curves were used to estimate progression-free and overall survival, and differences in survival outcomes were assessed using the log-rank test.

The analytical sample included 279 patients (mean [SD] age, 64.7 [11.1] years; 228 male patients [81.7%]) treated with atezolizumab and bevacizumab in the IMbrave150 trial and 194 patients (mean [SD] age, 64.3 [11.4] years; 155 male patients [78.7%]) with frontline anti-programmed cell death 1 ligand 1 (PD-1/L1) therapies in a multicenter patient cohort. Complete responders had high disease-free survival rates at 2 years in the IMbrave150 (58.0%; 95% CI, 36.2%-74.7%) and multicenter (87.4%; 95% CI, 58.2%-96.7%) cohorts. Overall survival rates at 2 years for complete responders were 81.1% (95% CI, 64.4%-90.5%) in the IMbrave150 cohort and 93.3% (95% CI, 61.2%-99.0%) in the multicenter cohort. Among complete responders who discontinued treatment for reasons other than disease progression after a median duration of treatment of 24 months, disease recurrence was rare. Molecular profiling of HCC among complete responders did not reveal unique genetic alterations in these patients. However, cancers with complete responses had higher PD-L1 protein expression in the immune cell compartment and lower circulating tumor DNA levels.

In this post hoc trial and multicenter cohort analysis of patients with HCC treated with immunotherapy, complete responders demonstrated prolonged survival and durable disease control even after discontinuation of therapy. Biological features of complete responders were also distinct, and further evaluation of immune cell PD-L1 protein expression and circulating tumor DNA as potential biomarkers is warranted.

Tumor-infiltrating lymphocytes (TILs), particularly CD8+ TILs, are key prognostic markers in many cancers. However, their prognostic value in hepatocellular carcinoma (HCC) remains controversial, with different evidence. Given the heterogeneous outcomes in patients with HCC undergoing liver resection, this study aims to develop an AI-based system to quantify CD8+ TILs and assess their prognostic value for patients with HCC.

We conducted a retrospective multicenter study on patients undergoing liver resection across three cohorts (N = 514). We trained a deep neural network and a random forest model to segment tumor regions and locate CD8+ TILs in H&E and CD8-stained whole-slide images. We quantified CD8+ TIL density and established an Automated CD8+ Tumor-infiltrating Lymphocyte Scoring (ATLS-8) system to assess its prognostic value.

In the discovery cohort, the 5-year overall survival (OS) rates were 34.05% for ATLS-8 low-score and 65.03% for ATLS-8 high-score groups (hazard ratio [HR] 2.40; 95% CI, 1.37-4.19; p = 0.015). These findings were confirmed in validation cohort 1, which had 5-year OS rates of 28.57% and 68.73% (HR 3.38; 95% CI, 1.27-9.02; p = 0.0098), and validation cohort 2, which had 59.26% and 81.48% (HR 2.74; 95% CI, 1.05-7.15; p = 0.031). ATLS-8 improved the prognostic model based on clinical variables (C-index 0.770 vs. 0.757; 0.769 vs. 0.727; 0.712 vs. 0.642 in three cohorts).

We developed an automated system using CD8-stained whole-slide images to assess immune infiltration (ATLS-8). In patients with HCC undergoing resection, higher CD8+ TIL density correlates with better OS, as per ATLS-8 assessment. This system is a promising tool for advancing clinical immune microenvironment assessment and outcome prediction.

CD8+ tumor-infiltrating lymphocytes (TILs) have been identified as a prognostic factor associated with many cancers. In this study, CD8+ TILs were identified as an independent prognostic factor for overall survival in patients with hepatocellular carcinoma who undergoing liver resection. Therefore, ATLS-8, a novel digital biomarker based on whole-slide image-level CD8+ TILs, could play an important role in the prognostic assessment of patients with HCC and could be integrated into clinicopathological models to participate in the decision-making and prognostic assessment of patients. The scoring system combined with artificial intelligence is essential for automated, quantitative, whole-slide image-level assessment of TILs, which can be widely applied to quantify the immune profile of multi-cancer disease types with the discussion of subsequent immunotherapy.

PD-L1 and VEGF blockade with atezolizumab plus bevacizumab has been shown to improve survival in unresectable hepatocellular carcinoma. TIGIT is an immune checkpoint regulator implicated in many cancers, including unresectable hepatocellular carcinoma. Here, we evaluate the clinical activity and safety of the addition of tiragolumab, an anti-TIGIT monoclonal antibody, to atezolizumab plus bevacizumab.

This randomised, open-label, phase 1b-2 umbrella study was conducted at 26 centres across China, France, Israel, New Zealand, South Korea, Taiwan, and the USA. Eligible patients were adults aged 18 years old or older with previously untreated locally advanced unresectable hepatocellular carcinoma, an Eastern Cooperative Oncology Group performance status of 0-1, Child-Pugh class A disease, and a life expectancy of at least 3 months. Eligible patients were randomly assigned (2:1) using permuted block randomisation to receive either tiragolumab 600 mg plus atezolizumab 1200 mg plus bevacizumab 15 mg/kg or atezolizumab 1200 mg plus bevacizumab 15 mg/kg, administered via intravenous infusion every 3 weeks on day 1 of each 21-day cycle. Patients received treatment until unacceptable toxic effects or loss of clinical benefit, whichever occurred first. The primary endpoint was objective response rate. Analysis of clinical activity was done in the efficacy-evaluable population (all patients who received at least one dose of each drug for their assigned treatment regimen) and safety was assessed in all patients who received any study treatment. The trial is registered with ClinicalTrials.gov, NCT04524871, and is ongoing.

Between Aug 20, 2020, and Feb 10, 2022, we assessed 154 patients for eligibility and 59 eligible patients were randomly assigned to receive tiragolumab plus atezolizumab plus bevacizumab (n=41) or atezolizumab plus bevacizumab (n=18); one patient in the tiragolumab plus atezolizumab plus bevacizumab group experienced an adverse event before receiving any treatment and withdrew from the study. Median age was 65·0 years (IQR 61·0-73·0). 46 (79%) of 58 patients were male and 12 (21%) were female. Most patients were Asian (23 [40%]) or White (21 [36%]). At the time of clinical cutoff (Aug 21, 2023), median follow-up was 20·6 months (IQR 10·6-28·0) in the tiragolumab plus atezolizumab plus bevacizumab group and 14·0 months (4·2-18·5) in the atezolizumab plus bevacizumab group. The confirmed objective response rate was 43% (95% CI 27-59, n=17) in the tiragolumab plus atezolizumab plus bevacizumab group and 11% (1-35, n=2) in the atezolizumab plus bevacizumab group. All patients in both groups experienced an adverse event. The incidence of pruritis (20 [50%] of 40 patients vs three [17%] of 18 patients), arthralgia (13 [33%] vs two [11%]), and diarrhoea (12 [30%] vs one [6%]) was notably higher in the tiragolumab plus atezolizumab plus bevacizumab group than in the atezolizumab plus bevacizumab group, although these were mainly grade 1-2. The most common grade 3-4 adverse events were hypertension (six [15%] of 40 patients in the tiragolumab plus atezolizumab plus bevacizumab group vs two [11%] of 18 patients in the atezolizumab plus bevacizumab group), aspartate aminotransferase increased (three [8%] of 40 patients vs one [6%] of 18 patients), and proteinuria (two [5%] of 40 patients vs two [11%] of 18 patients). Serious adverse events occurred in 21 (53%) of 40 patients in the tiragolumab plus atezolizumab plus bevacizumab group and in ten (56%) of 18 patients in the atezolizumab plus bevacizumab group. Treatment-related deaths occurred in one patient in the tiragolumab plus atezolizumab plus bevacizumab group (due to cholestasis) and two patients in the atezolizumab plus bevacizumab group (due to oesophageal varices haemorrhage and upper gastrointestinal haemorrhage). The addition of tiragolumab to atezolizumab plus bevacizumab did not appear to result in a substantial worsening of treatment-related or immune-mediated adverse events, and no new safety signals were identified.

This signal-seeking study suggests that the addition of tiragolumab to atezolizumab and bevacizumab might be more clinically active than atezolizumab plus bevacizumab alone in unresectable hepatocellular carcinoma. Based on these data, further study of combination tiragolumab plus atezolizumab plus bevacizumab is warranted.

F Hoffmann-La Roche and Genentech.