Therapy For Hepatocellular Carcinoma Patients Research Articles

Prediction of therapeutic response to transarterial chemoembolization plus systemic therapy regimen in hepatocellular carcinoma using pretreatment contrast-enhanced MRI based habitat analysis and Crossformer model.

To develop habitat and deep learning (DL) models from multi-phase contrast-enhanced magnetic resonance imaging (CE-MRI) habitat images categorized using the K-means clustering algorithm. Additionally, we aim to assess the predictive value of identified regions for early evaluation of the responsiveness of hepatocellular carcinoma (HCC) patients to treatment with transarterial chemoembolization (TACE) plus molecular targeted therapies (MTT) and anti-PD-(L)1. A total of 102 patients with HCC from two institutions (A, n = 63 and B, n = 39) who received TACE plus systemic therapy were enrolled from September 2020 to January 2024. Multiple CE-MRI sequences were used to outline 3D volumes of interest (VOI) of the lesion. Subsequently, K-means clustering was applied to categorize intratumoral voxels into three distinct subgroups, based on signal intensity values of images. Using data from institution A, the habitat model was built with the ExtraTrees classifier after extracting radiomics features from intratumoral habitats. Similarly, the Crossformer model and ResNet50 model were trained on multi-channel data in institution A, and a DL model with Transformer-based aggregation was constructed to predict the response. Finally, all models underwent validation at institution B. The Crossformer model and the habitat model both showed high area under the receiver operating characteristic curves (AUCs) of 0.869 and 0.877 (training cohort). In validation, AUC was 0.762 for the Crossformer model and 0.721 for the habitat model. The habitat model and DL model based on CE-MRI possesses the capability to non-invasively predict the efficacy of TACE plus systemic therapy in HCC patients, which is critical for precision treatment and patient outcomes.

Unveiling Tim-3 immune checkpoint expression in hepatocellular carcinoma through abdominal contrast-enhanced CT habitat radiomics.

Immune checkpoint inhibitors (ICIs) are important systemic therapeutic agents for hepatocellular carcinoma (HCC), among which T-cell immunoglobulin and mucin-domain containing protein 3 (Tim-3) is considered an emerging target for ICI therapy. This study aims to evaluate the prognostic value of Tim-3 expression and develop a predictive model for Tim-3 infiltration in HCC. We collected data from 424 HCC patients in The Cancer Genome Atlas (TCGA) and data from 102 pathologically confirmed HCC patients from our center for prognostic analysis. Multivariate Cox regression analyses were performed on both datasets to determine the prognostic significance of Tim-3 expression. In radiomics analysis, we used the K-means algorithm to cluster regions of interest in arterial phase enhancement and venous phase enhancement images from patients at our center. Radiomic features were extracted from three subregions as well as the entire tumor using pyradiomics. Five machine learning methods were employed to construct Habitat models based on habitat features and Rad models based on traditional radiomic features. The predictive performance of the models was compared using ROC curves, DCA curves, and calibration curves. Multivariate Cox analyses from both our center and the TCGA database indicated that high Tim-3 expression is an independent risk factor for poor prognosis in HCC patients. Higher levels of Tim-3 expression were significantly associated with worse prognosis. Among the ten models evaluated, the Habitat model constructed using the LightGBM algorithm showed the best performance in predicting Tim-3 expression status (training set vs. test set AUC 0.866 vs. 0.824). This study confirmed the importance of Tim-3 as a prognostic marker in HCC. The habitat radiomics model we developed effectively predicted intratumoral Tim-3 infiltration, providing valuable insights for the evaluation of ICI therapy in HCC patients.

A Transcriptomic Biomarker for Predicting the Response to TACE Correlates with the Tumor Microenvironment and Radiomics Features in Hepatocellular Carcinoma.

The response to transarterial chemoembolization (TACE) varies among individuals with hepatocellular carcinoma (HCC). This study aimed to identify a biomarker for predicting TACE response in HCC patients and to investigate its correlations with the tumor microenvironment and pre-TACE radiomics features. GSE104580 data were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed gene analysis and machine learning algorithms were used to identify genes for constructing the TACE failure signature (TFS). TFS scores were then calculated for HCC patients in The Cancer Genome Atlas (TCGA) cohort. After obtaining images from The Cancer Imaging Archive (TCIA), tumor labeling and radiomics feature extraction, the Rad-score model was generated. Correlation analysis was performed between the TFS score and the Rad-score. CIBERSORT, ssGSEA and TME analysis were performed to explore differences in the immune landscape among distinct risk groups. The immunotherapy response was compared between different groups. ADH1C, CXCL11, EMCN, SPARCL1 and LIN28B were selected and incorporated into the TFS, which demonstrated satisfactory performance in predicting TACE response. Patients in the high TFS score group had poorer overall survival (OS) than those in the low TFS score group. The Rad-score model was constructed using six radiomics features, and the Rad-score was significantly correlated with hub gene expression and the TFS score. The high-TFS group was also characterized by an immunosuppressive tumor microenvironment and exhibited unfavorable responses to immunotherapy with PD-1 and CTLA-4 checkpoint inhibitors. This study established a transcriptomic biomarker for predicting the efficacy of TACE that correlates with radiomics features on pretreatment imaging, tumor immune microenvironment characteristics, and the efficacy of immunotherapy and targeted therapy in HCC patients.

Immune cell dynamics and the impact on the efficiency of transvascular antitumor interventional therapies in hepatocellular carcinoma patients.

This study investigates the impact of transvascular antitumor interventional therapies on immune cell dynamics and its correlation with disease control and progression-free survival (PFS) in hepatocellular carcinoma (HCC) patients. A single-center observational case-control study was conducted with 119 HCC patients. Transvascular antitumor interventional therapy were administered based on patient-specific evaluations. Peripheral blood samples were collected before and within 28 days after the first treatment to analyze lymphocyte subsets and other immune cells. Higher counts of total white blood cells (WBCs), lymphocytes, monocytes, and basophils were significantly associated with disease control rate. Subgroup analysis revealed that abnormal BMI, diabetes, infection, and multiple lesions were significantly associated with T cell abnormalities. Age, abnormal BMI, hypertension, and abnormal AFP were linked to total T cell abnormalities. NK cells, B cells, Th cells, Tc/Ts cells, and CD4/CD8 ratios did not show significant differences in PFS probabilities. Higher counts of WBCs, lymphocytes, monocytes, and basophils, play a crucial role in the effectiveness of HCC interventional therapy.

The Role of Stereotactic Body Radiation Therapy for Hepatocellular Carcinoma Patients: A Literature Review

Background: Globally, hepatocellular carcinoma (HCC) is the most prevalent kind of primary liver cancer. Treatment options for HCC include radiotherapy, immunotherapy, surgery, targeted therapy, transarterial chemoembolization, and hepatic arterial infusion chemotherapy. Limited efficacy was observed since 70-80% of cases are diagnosed late and unresectable. Growing evidence reported that SBRT is a viable option for locoregional treatments like radiofrequency ablation (RFA) or transarterial chemoembolization (TACE) for patients who did not respond to those treatments. Methods: A thorough search of electronic databases including PubMed, Cochrane Library, and Embase was conducted for studies on Stereotactic Body Radiation Therapy for Hepatocellular Carcinoma published in English over the past 10 years. The review process followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to ensure a systematic approach. Inclusion criteria encompassed studies focusing on SBRT use in HCC treatment, with extracted data synthesized to provide a comprehensive overview of current evidence. Any discrepancies during the review were resolved through consultation with a third reviewer when necessary. Results: In comparison to conventional radiation therapy, Stereotactic Body Radiation Therapy (SBRT) offers precise administration of the high dose of radiotherapy, given in fewer fractions, and may be used in conjunction with other therapy modalities. Global guidelines, including in Indonesia, have proposed the implementation of SBRT. Local control was reportedly achieved in around 90–95% of HCC patients. Multimodal therapies, combined with TACE, showed superior results regarding the local control and overall survival. SBRT may eventually become the definitive treatment for early-stage HCC patients and has a critical role as a transitional therapy for patients awaiting liver transplantation. Improved outcomes and quality of life were also observed in patients with portal vein thrombosis (PVT) and extrahepatic metastases who underwent SBRT. Conclusions: SBRT results in promising local control, raises overall survival, and improves the quality of life in HCC patients with various stages.

Fatty acid metabolism affects hepatocellular carcinoma progression via the PPAR-γ signaling pathway and fatty acid β-oxidation

PurposeThis study aimed to explore novel targets for hepatocellular carcinoma (HCC) treatment by investigating the role of fatty acid metabolism. MethodsRNA-seq and clinical data of HCC were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Bioinformatic analyses were employed to identify differentially expressed genes (DEGs) related to prognosis. A signature was then constructed using the Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression to classify HCC patients from the TCGA database into low-risk and high-risk groups. The predictive performance of the signature was evaluated through principal components analysis (PCA), Kaplan Meier (KM) survival analysis, receiver operating characteristics (ROC) curves, nomogram, genetic mutations, drug sensitivity analysis, immunological correlation analysis, and enrichment analysis. Single-cell maps were constructed to illustrate the distribution of core genes. Immunohistochemistry (IHC), quantitative real-time PCR (qRT-PCR), and western blot were employed to verify the expression of core genes. The function of one core gene was validated through a series of in vitro assays, including cell viability, colony formation, wound healing, trans-well migration, and invasion assays. The results were analyzed in the context of relevant signaling pathways. ResultsBioinformatic analyses identified 15 FAMGs that were related to prognosis. A 4-gene signature was constructed, and patients were divided into high- and low-risk groups according to the signature. The high-risk group exhibited a poorer prognosis compared to the low-risk group in both the training (P < 0.001) and validation (P = 0.020) sets. Furthermore, the risk score was identified as an independent predictor of OS (P < 0.001, HR = 8.005). The incorporation of the risk score and clinicopathologic features into a nomogram enabled the effective prediction of patient prognosis. The model was able to effectively predict the immune microenvironment, drug sensitivity to chemotherapy, and gene mutation for each group. Single-cell maps demonstrated that FAMGs in the model were distributed in tumor cells. Enrichment analyses revealed that the cell cycle, fatty acid β oxidation and PPAR signaling pathways were the most significant pathways. Among the four key prognostically related FAMGs, Spermine Synthase (SMS) was selected and validated as a potential oncogene affecting cell cycle, PPAR-γ signaling pathway and fatty acid β oxidation in HCC. ConclusionsThe risk characteristics based on FAMGs could serve as independent prognostic indicators for predicting HCC prognosis and could also serve as evaluation criteria for gene mutations, immunity, and chemotherapy drug therapy in HCC patients. Meanwhile, targeted fatty acid metabolism could be used to treat HCC through related signaling pathways.

Multiinstitutional cohort study of patient outcomes in Child-Pugh (CP) B liver function treated with atezolizumab plus bevacizumab (A+B) for hepatocellular carcinoma (HCC).

50 Background: A+B is commonly used as first line systemic therapy in HCC patients with CP-B liver function, although in the IMbrave150 clinical trial, its efficacy was only assessed in patients with CP-A liver function. We evaluated outcomes in patients with CP-B liver function and compared to those with CP-A. Methods: We completed a multi-institution, retrospective review of patients with HCC from Mayo Clinic and University Hospitals Seidman Cancer Center, who had received A+B in the first line setting between March 2018 and November 2023. CP score was calculated at time of treatment, response was assessed, and progression free (PFS) and overall (OS) survival were determined using the Kaplan Meier method. Results: Among 322 patients with HCC, median age was 66.5 years, 78.6% were male, and 82.6% were white. Eighty-six patients (27%) had CP-B liver function, while 226 (70%) had CP-A and 10 (3%) had CP-C. Etiology of liver disease in patients with CP-B included hepatitis B in 7.0%, hepatitis C in 38.4%, alcohol use in 30.2%, and metabolic associated steatohepatitis in 20.9%. Median OS in patients with CP-B liver function was 6.4 months, while mOS was 21.6 months for those with CP-A ( p&lt;0.0001). Further stratifying, mOS in those with CP-B7 was 9.1 months, CP-B8 was 5.5 months, and CP-B9 was 4.0 months. 12-month OS in patients with CP-B was 32.4%, compared to 69.3% in CP-A. Median PFS was 4.8 months in those with CP-B and 8.9 months in those with CP-A. Median PFS in those with CP-B7, -B8, and -B9 was 6.4 months, 2.7 months, and 2.7 months, respectively. Among those with CP-B, 1 patient had a complete response, 17 (19.8%) had a partial response, 29 (33.7%) had stable disease, and 37 (43.0%) had progressive disease. Adverse events in CP-B patients included hypertension in 14.0% (grade 3 in 1 patient), bleeding in 16.3% (grade 3 or greater in 11.6%), fatigue in 38.4%, and an immune-related adverse event in 17.4% (grade 3 in 5.8%). Conclusions: Patients with advanced HCC and CP-B7 liver function may still benefit from A+B. Importantly, no additional safety risks were identified in this subgroup. Those with CP-B8 and CP-B9 have significantly worse survival than those with CP-B7 and the likelihood of benefit from systemic therapy is minimal. It is important for providers to address the impact of baseline liver function on expected outcomes in patient with HCC.

Long-term posttransplant survival outcome following bridging locoregional therapy in hepatocellular carcinoma patients: A systematic review and meta-analysis.

Liver transplantation (LT) is essential due to its curative efficacy, but liver-graft shortages have limited its widespread application. Bridging locoregional therapy (LRT) before LT has been performed to prevent tumor progression, and a recent literature review revealed that it is associated with a nonsignificant trend toward better survival outcomes. However, much more information on bridging therapy has become available since then. This meta-analysis aimed to compare the posttransplant survival and HCC recurrence between patients with and without pretransplant bridging LRT. Studies were identified in MEDLINE, SCOPUS, and the Cochrane Library. Two independent researchers screened titles and full articles, extracted relevant data, and conducted a parametric survival analysis. Out of 4794 studies, 18 cohort studies were eligible. The 1-, 3-, and 5-year overall survival (OS) rates were 93.1%, 85.0%, and 79.1% for those in the bridging LRT group, while they were 91.8%, 81.1%, and 75.5% for those who did not receive LRT, respectively. There were no differences in overall survival between these groups (HR 0.90; 0.78-1.05, P = 0.17). Interestingly, we discovered that bridging therapy helped prolong survival significantly in a high-risk population with a long waiting time (HR 0.76; 0.60-0.96, P = 0.02). Unfortunately, bridging LRT did not improve disease-free survival (HR 0.98; 0.86-1.11, P = 0.70). The results indicate that bridging LRT does not generally change post-LT outcomes. However, bridging LRT can significantly improve survival in patients with a long waiting time for LT.

Dynamic changes of serum α-fetoprotein predict the prognosis of bevacizumab plus immunotherapy in hepatocellular carcinoma.

Alpha-fetoprotein (AFP) has been established as a biomarker for hepatocellular carcinoma (HCC); however, whether its dynamic changes could predict the response to systemic therapy remains elusive. This study explored the AFP trajectory and the association with survival in patients received bevacizumab plus immunotherapy. We retrospectively enrolled 536 HCC patients received bevacizumab plus immunotherapy between February 2021 and February 2023. Patients were divided into two groups according to AFP values before treatment (400ng/ml). Dynamic changes of AFP were fitted using a latent class model to generate the AFP trajectories. Multivariable Cox models were utilized to compute hazard ratios (HRs) for survival. Inverse-probability-of-treatment weighted analyses were conducted to mitigate the influence of unmeasured confounding variables. The primary endpoint is progression free survival (PFS). The second endpoint is overall survival (OS). Three distinct trajectories were identified for AFP-low and AFP-high patients, respectively. In AFP-low group, compared with the high-rising class (25%; n=69), HRs of PFS were 0.39 and 0.2 for the low-stable class (59.1%; n=163) and sharp-falling class (15.9%; n=44), after adjusting by tumor diameter, tumor number, and extra-hepatic metastasis. In AFP-high group, compared with the high-stable class (18.5%; n=48), HRs of PFS were 0.3 and 0.04 for the middle-stable class (56.5%; n=147) and sharp-falling class (25%; n=65), after adjusting by tumor diameter, tumor number, and extra-hepatic metastasis. Furthermore, the AFP trajectories exhibited the utmost relative importance among all covariates regarding PFS and OS in the multivariable regression models. The AFP trajectories in HCC patients receiving bevacizumab and immunotherapy, constituted an independent biomarker indicative of clinical outcomes. Findings from this study hold potential clinical utility in dynamically forecasting the prognosis of systemic therapy in HCC patients and facilitating clinical decision-making. Rapid reduction of AFP post-treatment can lead to favorable patient prognoses.

Safety/efficacy of atezolizumab + bevacizumab during anti-platelet/anticoagulation therapy in unresectable hepatocellular carcinoma.

This study aimed to determine the safety and efficacy of atezolizumab + bevacizumab therapy in hepatocellular carcinoma patients receiving anti-platelet agents or anticoagulants. Patients were divided into those using (IM out) and those not using (IM in) anti-platelet agents or anticoagulants, who violated the exclusion criteria of the IMbrave150 trial, and were retrospectively examined. The study included 185 patients (IM in: 157; IM out: 28). For first-line treatment, progression-free survival was 184 days for IM in and 266 days for IM out (p = .136). Overall survival was 603 days for IM in and not reached for IM out (p = .265), with no significant between-group difference. Similarly, there were no significant between-group differences in progression-free survival or overall survival for later-line treatment. Haemorrhagic adverse events of ≥grade 3 were observed in 11 IM in patients and 3 IM out patients. No significant factors associated with haemorrhagic adverse events of ≥grade 3 were identified in the multivariate analysis including IM out classification, whose p value was .547. Regarding thrombotic/embolic adverse events in the IM out group, one case of exacerbation of portal vein thrombosis was observed. No deaths were directly attributable to bleeding events or exacerbations of thrombosis. Atezolizumab + bevacizumab therapy shows similar safety and efficacy in patients receiving and those not receiving anti-platelet agents or anticoagulants; therefore, it can be considered for patients with hepatocellular carcinoma receiving anti-platelet agents or anticoagulants.

Tislelizumab plus sitravatinib as adjuvant therapy for patients with hepatocellular carcinoma at high risk of recurrence after surgical resection: Preliminary analysis of a multi-center, non-randomized, open-label phase 2 study.

e16239 Background: Adjuvant therapy has the potential to prevent or delay recurrence after curative-intent hepatectomy for hepatocellular carcinoma (HCC) patients. IMbrave 050 trial demonstrated improved recurrence-free survival (RFS) for HCC patients at high risk of recurrence when treated with atezolizumab plus bevacizumab, underscoring the promising potential of checkpoint inhibitor-based combination therapy as a strategy in the adjuvant setting. The aim of this study was to evaluate the efficacy and safety of tislelizumab (a PD-1 inhibitor) plus sitravatinib (a selective tyrosine kinase inhibitor) as adjuvant therapy in HCC patients at high risk of recurrence after curative-intent hepatectomy. Here, we reported the preliminary analysis results. Methods: HCC patients confirmed by histopathology or cytology, who had undergone a curative resection and with one or more of the high-risk factors for recurrence, including: a solitary tumor&gt;5 cm, a solitary tumor&gt;2cm and ≤5cm with microvascular invasion, or 2~3 lesions, were eligible. Enrolled patients received tislelizumab (200mg, IV, Q3W) and sitravatinib (100mg, PO, QD), with a maximum treatment duration of one year. The primary endpoint was 2-year RFS rate. Secondary endpoints include RFS, time to recurrence, overall survival (OS), 1-year RFS rate, 1-year and 2-year OS rate, and safety. Results: A total of 22 patients were enrolled, with hepatitis B being the most common (86.4%) etiology, and 36.4% with microvascular invasion. Most patients were at BCLC stage A (86.4%), while stage 0 and stage B accounted for 4.5 and 9.1%, respectively. Till the data cut-off date on Nov. 30th, 2023, the median follow-up duration was 6.0 months (range 0.7-16.2); 2 patients relapsed and 1 patient died. The 1-year RFS rate was 81.3% and the longest RFS (censored) was over 12.5 months. Safety profile indicated that 21 patients (95.5%) experienced treatment-related adverse events (TRAEs), and 8 (36.4%) experienced grade ≥3 TRAEs. Most common (≥10%) grade ≥3 TRAEs were hypertension (13.6%) and palmar-plantar erythrodysesthesia (13.6%). Any grade immune-related adverse events (irAEs) were observed in 12 patients (54.5%) and 3 (13.6%) experienced grade ≥ 3 irAEs. AE leading to tislelizumab delay was observed in 2 patients (9.1%) and sitravatinb delay in 16 patients (72.7%). Dose reduction of sitravatinib occurred in 81.8% of patients due to AE. One patient died due to treatment-related pulmonary infection and biliary fistula. Conclusions: For patients with HCC at high risk of recurrence after curative-intent resection, tislelizumab plus sitravatinib showed preliminarily positive signal in controlling recurrence and had managable safety profile as adjuvant therapy. Further follow-up is needed to validate these findings with more mature data. Clinical trial information: NCT05407519 .

Characterization of a predictive signature for tumor microenvironment and immunotherapy response in hepatocellular carcinoma involving neutrophil extracellular traps

Neutrophil extracellular traps (NETs) and other factors play a significant role in impacting the prognosis of patients with Hepatocellular carcinoma (HCC). Nevertheless, further research is warranted to fully elucidate the prognostic implications of NETs in patients with HCC. We employed a hierarchical clustering technique to examine the Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) data and identified subtypes associated with NETs. Subsequently, we utilized LASSO regression analysis to identify a distinct gene expression pattern within these subtypes. The strength of this signature was further validated through analysis of TCGA-LIHC and International Cancer Genome Consortium-Liver Cancer (ICGC-LIRI-JP) data. Our findings resulted in the construction of a six-gene signature related to NETs, which can predict survival outcomes in HCC patients. To enhance the predictive accuracy of our tool, we developed a nomogram that integrates the NETs signature with clinicopathological characteristics. We validated the significance of NETs in HCC patients using qRT-PCR and immunohistochemistry assays, along with in vitro experiments targeting high-risk genes. Furthermore, our exploration of the immune microenvironment uncovered augmented immune-specific metrics within the low-risk cohort, implying potential disparities in immune-related attributes between the high-risk and low-risk contingents. In summary, the NETs signature we discovered serves as a valuable biomarker and provides guidance for personalized therapy in HCC patients.

Statin therapy: a potential adjuvant to immunotherapies in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most prevalent cancers worldwide and accounts for more than 90% of primary liver cancer. The advent of immune checkpoint inhibitor (ICI)-related therapies combined with angiogenesis inhibition has revolutionized the treatment of HCC in late-stage and unresectable HCC, as ICIs alone were disappointing in treating HCC. In addition to the altered immune microenvironment, abnormal lipid metabolism in the liver has been extensively characterized in various types of HCC. Stains are known for their cholesterol-lowering properties and their long history of treating hypercholesterolemia and reducing cardiovascular disease risk. Apart from ICI and other conventional therapies, statins are frequently used by advanced HCC patients with dyslipidemia, which is often marked by the abnormal accumulation of cholesterol and fatty acids in the liver. Supported by a body of preclinical and clinical studies, statins may unexpectedly enhance the efficacy of ICI therapy in HCC patients through the regulation of inflammatory responses and the immune microenvironment. This review discusses the abnormal changes in lipid metabolism in HCC, summarizes the clinical evidence and benefits of stain use in HCC, and prospects the possible mechanistic actions of statins in transforming the immune microenvironment in HCC when combined with immunotherapies. Consequently, the use of statin therapy may emerge as a novel and valuable adjuvant for immunotherapies in HCC.

TKT-PARP1 axis induces radioresistance by promoting DNA double-strand break repair in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) stands as the fifth most prevalent malignant tumor on a global scale and presents as the second leading cause of cancer-related mortality. DNA damage-based radiotherapy (RT) plays a pivotal role in the treatment of HCC. Nevertheless, radioresistance remains a primary factor contributing to the failure of radiation therapy in HCC patients. In this study, we investigated the functional role of transketolase (TKT) in the repair of DNA double-strand breaks (DSBs) in HCC. Our research unveiled that TKT is involved in DSB repair, and its depletion significantly reduces both non-homologous end joining (NHEJ) and homologous recombination (HR)-mediated DSB repair. Mechanistically, TKT interacts with PARP1 in a DNA damage-dependent manner. Furthermore, TKT undergoes PARylation by PARP1, resulting in the inhibition of its enzymatic activity, and TKT can enhance the auto-PARylation of PARP1 in response to DSBs in HCC. The depletion of TKT effectively mitigates the radioresistance of HCC, both in vitro and in mouse xenograft models. Moreover, high TKT expression confers resistance of RT in clinical HCC patients, establishing TKT as a marker for assessing the response of HCC patients who received cancer RT. In summary, our findings reveal a novel mechanism by which TKT contributes to the radioresistance of HCC. Overall, we identify the TKT-PARP1 axis as a promising potential therapeutic target for improving RT outcomes in HCC.

Predictive Biomarkers of Immune Checkpoint Inhibitor-Based Mono- and Combination Therapies for Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is among the most frequent and deadly human cancers worldwide. It has been shown that interaction between immune checkpoint receptors and ligands plays a crucial role in inhibition of T cell-mediated anti-tumor immune responses, thereby assisting tumor cells to evade the host immune surveillance. Therefore, several immune checkpoint inhibitors (ICIs) that selectively block immune checkpoint receptors or ligands have been developed as clinically effective and safe immunotherapeutic agents for treating HCC, including the inhibitors targeting cytotoxic T lymphocyte-associated antigen 4, programmed death 1, and programmed death ligand 1. In addition, various combinations of ICIs and other ICIs or tyrosine kinase inhibitors or vascular endothelial growth factor inhibitors have also emerged as clinically beneficial treatments for HCC. However, the overall response rates of ICI mono-therapy and combination therapy in HCC patients remain unsatisfied, highlighting the urgent need for discovering valuable predictive biomarkers to achieve personalized therapy. This review comprehensively summarizes the literature-based evidence validating a variety of biomarkers with predictive significance for treatment responses and outcomes in HCC patients receiving various ICI-based mono- and combination therapies.

Deciphering the immune modulation through deep transcriptomic profiling and therapeutic implications of DNA damage repair pattern in hepatocellular carcinoma

AimsDNA damage repair (DDR) plays a pivotal role in hepatocellular carcinoma (HCC), driving oncogenesis, progression, and therapeutic response. However, the mechanisms of DDR mediated immune cells and immuno-modulatory pathways in HCC are yet ill-defined. MethodsOur study introduces an innovative deep machine learning framework for precise DDR assessment, utilizing single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data. Single-cell RNA sequencing data were obtained and in total 85,628 cells of primary or post-immunotherapy cases were analyzed. Large-scale HCC datasets, including 1027 patients in house together with public datasets, were used for 101 machine-learning models and a novel DDR feature was derived at single-cell resolution (DDRscore). Druggable targets were predicted using the reverse phase protein array (RPPA) proteomic profiling of 169 HCC patients and RNA-seq data from 22 liver cancer cell lines. ResultsOur investigation reveals a dynamic interplay of DDR with natural killer cells and B cells in the primary HCC microenvironment, shaping a tumor-promoting immune milieu through metabolic programming. Analysis of HCC post-immunotherapy demonstrates elevated DDR levels that induces epithelial-mesenchymal transition and fibroblast-like transformation, reshaping the fibrotic tumor microenvironment. Conversely, attenuated DDR promotes antigen cross-presentation by dendritic cells and CD8+ T cells, modulating the inflammatory tumor microenvironment. Regulatory network analysis identifies the CXCL10-CXCR3 axis as a key determinant of immunotherapeutic response in low DDR HCC, potentially regulated by transcription factors GATA3, REL, and TBX21. Using machine learning techniques by combining bulk RNA-seq data in house together with public datasets, we introduce DDRscore, a robust consensus DDR scoring system to predict overall survival and resistance to PD-1 therapy in HCC patients. Finally, we identify BRAF as a potential therapeutic target for high DDRscore patients. ConclusionOur comprehensive findings advance our understanding of DDR and the tumor microenvironment in HCC, providing insights into immune regulatory mechanisms mediated via DDR pathways.

Integrated bulk and single-cell transcriptomes reveal pyroptotic signature in prognosis and therapeutic options of hepatocellular carcinoma by combining deep learning.

Although some pyroptosis-related (PR) prognostic models for cancers have been reported, pyroptosis-based features have not been fully discovered at the single-cell level in hepatocellular carcinoma (HCC). In this study, by deeply integrating single-cell and bulk transcriptome data, we systematically investigated significance of the shared pyroptotic signature at both single-cell and bulk levels in HCC prognosis. Based on the pyroptotic signature, a robust PR risk system was constructed to quantify the prognostic risk of individual patient. To further verify capacity of the pyroptotic signature on predicting patients' prognosis, an attention mechanism-based deep neural network classification model was constructed. The mechanisms of prognostic difference in the patients with distinct PR risk were dissected on tumor stemness, cancer pathways, transcriptional regulation, immune infiltration and cell communications. A nomogram model combining PR risk with clinicopathologic data was constructed to evaluate the prognosis of individual patients in clinic. The PR risk could also evaluate therapeutic response to neoadjuvant therapies in HCC patients. In conclusion, the constructed PR risk system enables a comprehensive assessment of tumor microenvironment characteristics, accurate prognosis prediction and rational therapeutic options in HCC.

Concomitant Irradiation to Checkpoint Inhibitor Therapy of Hepatocellular Carcinoma Patients: A Systematic Retrospective, Single-Center Analysis

Introduction: Immunotherapy has been established as the standard treatment option for patients with advanced hepatocellular carcinoma (aHCC). Despite the increased efficacy, disease progression occurs in a relevant proportion of patients even after an objective response. Combination concepts with locoregional therapy are currently under investigation for hepatic disease but are also in discussion for the control of distant metastasis. Radiotherapy is a highly effective treatment modality for local tumor control. It is also thought to increase the efficacy of checkpoint inhibition and sensitize distant lesions to the effects of immunotherapy, but may potentially increase adverse effects. In our center, few patients with aHCC treated with immune checkpoint inhibitors (ICIs) received concomitant radiotherapy for symptom or disease control. The aim of this study was to retrospectively analyze adverse effects and efficacy of concomitant radiotherapy in patients with aHCC treated with checkpoint inhibition. Methods: To this aim, patients who received a combination of ICI and radiotherapy in our institution were retrospectively considered for analysis. The predefined inclusion criterion was radiotherapy after initiated checkpoint inhibition and continuation of ICI therapy for at least 8 weeks. Adverse effects and efficacy measurements were performed according to local standards. Results: The database search of 2016–2021 revealed six consecutive patients fulfilling the predefined criteria for concomitant ICI and radiotherapy. Three patients received high-dose-rate brachytherapy (15 Gy) to treat progredient hepatic lesions. Two patients received stereotactic body radiotherapy (SBRT) (25–30 Gy) for symptom control, and 1 patient received brachytherapy and SBRT to treat metastases. No severe adverse events were reported in the period (<6 months) after concomitant radiotherapy. In 5 out of 6 cases, long-term tumor control could be achieved by this therapeutic combination. Conclusion: A good efficacy of concomitant radiotherapy and checkpoint inhibition has been achieved with no safety concerns. Further investigations should evaluate the safety, appropriate clinical context, and efficacy of this promising approach.

Liver Regeneration Following Radiation Therapy in Hepatocellular Carcinoma Patients: Insights from Functional Liver Imaging

A critical need for hepatocellular carcinoma (HCC) patients is understanding how the liver recovers following radiation therapy (RT). While liver regeneration after hepatic resection has been well-studied, liver recovery following RT is less understood. We have previously studied 99mTc-sulphur colloid (SC) single photon emission tomography (SPECT)/CT to spatially and quantitatively analyze liver function. The purpose of this study was to assess both volumetric and functional liver changes following RT. Patients with HCC had liver function assessed with SC SPECT/CT before and after definitive RT. Patients received 30-67.5 Gy in 4-15 fractions. Anatomic and functional liver metrics were assessed before and after treatment. The anatomic liver volume (ALV) was drawn on CT imaging. Liver function was measured as the functional volume encompassing 30% of maximum uptake (FLV) and mean liver-to-spleen uptake ratio (L/S). Changes in liver size and function were compared to clinical characteristics, including Child-Pugh (CP) score. Parametric t-tests were used to analyze the data. Of 23 evaluable patients (proton RT, n = 16 or photon RT, n = 7), 15 patients had CP-A5/6, 7 had CP-B7/8, and 1 had CP-C10 scores. The mean interval of SC SPECT was 67 days following RT (range, 44 to 113 days). The mean PTV was 272 cc (range 22-802 cc). Regarding baseline liver status, mean pre-treatment ALV was 1584 cc (range 810-2749 cc) with no significant difference in ALV between CP-A and B/C patients (p = 0.285). Pre-treatment mean liver function as assessed with L/S was 1.06 ± 0.43 with significantly greater function in CP-A compared to CP-B/C patients (1.27 vs 0.66, respectively, p<0.001). Mean pre-treatment FLV was 1351 ± 430.8 cc with no significant difference in FLV between CP-A and B/C patients (1422 ± 441 cc vs 1220 ± 436 cc, respectively, p = 0.31). When evaluating change following RT, the mean change in ALV was 0.9% (range, -29% to 23%) with no significant difference between CP-A and CP-B/C patients (-1.5% vs 5.4%, respectively, p = 0.19). In contrast, change in liver function following RT was larger; mean change in FLV was -20% (range, -55% to 33%) and mean change in L/S was -16% (range, -66% to 105%). While change in FLV was not significantly different between CP-A and CP-B/C patients, CP-B/C patients had significantly greater decline in mean liver function (L/S) than CP-A patients (-40 ± 18% vs -3.6 ± 36%, respectively, p = 0.018). There was no association between change in liver volume and change in L/S, p = 0.543. Functional liver imaging metrics reveal different information about the potential functional reserve of irradiated livers compared to anatomic measurements. These data imply that functional liver imaging may more accurately assess the regenerative potential of irradiated and non-irradiated volumes of liver, which may be useful in clinical scenarios where assessment of the function of future liver remnants become critical.

The Role of Transjugular Intrahepatic Portosystemic Shunt (TIPS) in Treating Portal Hypertension in Patients with Hepatocellular Carcinoma.

Liver cancer is very frequent, and hepatocellular carcinoma (HCC) accounts for the majority of liver cancer cases. Its growing incidence has been greatly affected by the increasing prevalence of metabolic-associated fatty liver disease (MAFLD). The latter is a new epidemic in our era. In fact, HCC is often generated from noncirrhotic liver and its treatment benefits from surgical and nonsurgical approaches, potentially bridged by transjugular intrahepatic portosystemic shunt (TIPS) use. TIPS use is an effective treatment for portal hypertension complications, but its application in patients with HCC and clinically significant portal hypertension (CSPH) remains controversial due to concerns about tumor rupture, dissemination, and increased toxicity. The technical feasibility and safety of TIPS use in HCC patients have been evaluated in several studies. Despite concerns about intraprocedural complications, retrospective studies have shown high success rates and low complication rates in TIPS placement for HCC patients. TIPS use in combination with locoregional treatments, such as transarterial chemoembolization (TACE) or transarterial radioembolization (TARE), has been explored as a treatment option for HCC patients with portal hypertension. These studies have shown improved survival rates in patients undergoing TIPS in combination with locoregional treatments. However, the efficacy and toxicity of TACE in combination with TIPS use require careful evaluation, as changes in venous and arterial flow can affect treatment outcomes and complications. The results from studies evaluating the impact of TIPS on systemic therapy and surgical options are also promising. In conclusion, the TIPS is a sufficiently safe, useful item available for physicians treating complications of portal hypertension. Moreover, a TIPS can be used in combination with locoregional therapy in HCC patients. Systemic chemotherapy can also benefit of the use of TIPS placement. A complex interplay affects TIPS use with surgery. The latter needs further data. The TIPS is a useful and safe add-on treatment, changing the natural course of HCC progression. Its use is regulated by a sophisticated physiologic and pathophysiologic flow of evidence.