Strategy For Treatment Of Hepatocellular Carcinoma Research Articles

Idarubicin-loaded degradable hydrogel for TACE therapy enhances anti-tumor immunity in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a common and deadly cancer, often diagnosed at advanced stages, limiting surgical options. Transcatheter arterial chemoembolization (TACE) is a primary treatment for inoperable and involves the use of drug-eluting microspheres to slowly release chemotherapy drugs. However, patient responses to TACE vary, with some experiencing tumor progression and recurrence. Traditional TACE uses agents like oil-based drug emulsions and polyvinyl alcohol particles, which can permanently block blood vessels and increase tumor hypoxia. Additionally, TACE can suppress the immune system by reducing immune cell numbers and function, contributing to poor treatment outcomes. New approaches, like TACE using degradable starch microspheres and hydrogel-based materials, offer the potential to create different tumor environments that could improve both safety and efficacy. In our research, we developed a composite hydrogel (IF@Gel) made of Poloxamer-407 gel and Fe3O4 nanoparticles, loaded with idarubicin, to use as an embolic material for TACE in a rat model of orthotopic HCC. We observed promising therapeutic effects and investigated the impact on the tumor immune microenvironment, focusing on the role of immunogenic cell death (ICD). The composite hydrogel demonstrated excellent potential as an embolic material for TACE, and IF@Gel-based TACE demonstrated significant efficacy in rat HCC. Furthermore, our findings highlight the potential synergistic effects of ICD with anti-PD-L1 therapy, providing new insights into HCC treatment strategies. This study aims to provide improved treatment options for HCC and to deepen our understanding of the mechanisms of TACE and tumor environment regulation.

Iberverin Downregulates GPX4 and SLC7A11 to Induce Ferroptotic Cell Death in Hepatocellular Carcinoma Cells.

Ferroptosis, a recently elucidated style of regulated cell death, has emerged as a significant area of investigation in cancer biology. Natural active compounds that have anti-cancer effects are promising candidates for cancer prevention. Iberverin, a natural compound derived from Brassica oleracea var. capitata, has been shown to exert anti-tumor activities in some cancers. However, its role in hepatocellular carcinoma (HCC) cells and the molecular mechanisms are still poorly understood. In this study, we proved that iberverin can induce intracellular reactive oxygen species (ROS) generation to inhibit cell proliferation and initiate ferroptotic cell death in HCC cells, which can be eradicated by the ferroptosis inhibitor ferrostatin-1 (Fer-1) or deferoxamine mesylate (DFO) and ROS scavenger (GSH or NAC). Mechanistically, iberverin treatment can simultaneously downregulate SLC7A11 mRNA level and degrade GPX4 through the ubiquitination pathway, leading to lipid peroxidation and ferroptotic cell death in HCC cells. Significantly, a low dose of iberverin can remarkably increase the sensitivity of HCC cells to ferroptosis induced by canonical ferroptosis inducers RSL3 and imidazole ketone erastin (IKE). This study uncovers a critical function of iberverin in preventing HCC through ferroptosis and provides a promising strategy for HCC treatment either via iberverin alone or in combination with canonical ferroptosis inducers in the future.

Cancer immunogenic cell death via pyroptosis with CXCR4-targeted nanotoxins in hepatocellular carcinoma.

Cytotoxic agents have shown limited benefits in hepatocellular carcinoma (HCC), mediated in part by the lack of targeting. As cell-penetrating peptides (CPPs) are capable of delivering various biologically active molecules into cells, including protein, peptides, small chemo-drugs, and nucleic acid with or without targeting, we developed T22-PE24, a CXCR4-targeted self-assembling cytotoxic nanotoxin, to effectively induce HCC pyroptosis. T22 incorporating enhanced green fluorescent protein (EGFP) or PE24 was purified from DE3 bacterial cells and characterized using transmission electron microscopy, the Zetasizer Nano®, and SEC-HPLC. The internalization effect of T22-EGFP was detected by flow cytometry system (FCS) in CXCR4+/LM3(CXCR4-) HCC cells. The CCK8, lactate dehydrogenase (LDH) release, Western blot, and nude mice HCC models were used to estimate the cell viability of T22-PE24. The complete-immunity HCC tumor-bearing mice model was used to assess the immune response of T22-PE24. The round shape under transmission electron microscopy, 49.4nm hydrodynamic diameter, and -33.33mV zeta potential indicated that T22-PE24 self-assembled into nanoparticles. T22 incorporating EGFP selectively internalized in CXCR4+ HCC cells and showed no accumulation in CXCR4-knockout HCC cells. The T22-PE24 nanotoxin induced HCC pyroptosis via the caspase-3/GSDME signaling pathway and suppressed tumor growth in the absence of histological alterations in normal organs. Using the complete-immunity HCC tumor-bearing mice model, we found that T22-PE24 nanotoxin effectively induces the global reprogramming of cell components of the immune tumor microenvironment, leading to enhanced antitumor effects compared to those observed in immunodeficient mice. Our findings demonstrate the activation of the innate immune response in HCC by inducing pyroptosis with T22-PE24 nanotoxin treatment and support an implementation of this strategy for HCC treatment.

Therapeutic targets for hepatocellular carcinoma identified using proteomics and Mendelian randomization.

Hepatocellular carcinoma (HCC) emerges as a formidable malignancy marked by elevated morbidity and mortality rates, coupled with a dismal prognosis. The revelation of gene-protein associations has presented an avenue for the exploration of novel therapeutic targets. Pooling plasma proteomic data (seven published GWAS) and HCC data (DeCODE cohort), we applied MR to identify potential drug targets, which were further validated in the FinnGen cohort and UK Biobank. Subsequent colocalization and summary-data-based Mendelian randomization analyses were performed for potential associations of this set of proteins. In addition, enrichment information pathways were investigated in depth by KEGG pathway analysis, single-cell sequencing, PPI and DGIdb, ChEMBL, and DrugBank database analyses, specific cell types enriched for expression were identified, interacting proteins were identified, and finally, druggability was assessed. In summary, the levels of 10 proteins are linked to HCC risk. Elevated levels of TFPI2 as well as decreased levels of ALDH1A1, KRT18, ADAMTS13, TIMD4, SCLY, HRSP12, TNFAIP6, FTCD, and DDC are associated with increased HCC risk. Notably, HRSP12 show the strongest evidence. These genes are primarily expressed in specific cell types within the HCC TME. Moreover, intricate protein-protein interactions, involving key players like ALDH1A1 and RIDA, ALDH1A1 and DDC, and ALDH1A1 and KRT18, contribute significantly to the amino acid metabolism and dopaminergic neurogenesis pathway. Proteins such as ALDH1A1, KRT18, TFPI2, and DDC are promising targets for HCC therapy and broader cancer drug development. Targeting these proteins offers substantial potential in advancing HCC treatment strategies. This research delineates 10 protein biomarkers linked to HCC risk and offers novel perspectives on its etiology, as well as promising avenues for the screening of HCC protein markers and therapeutic agents.

Hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a primary liver cancer predominantly arising in individuals with chronic liver diseases such as cirrhosis or chronic hepatitis B virus (HBV) infection. Accounting for approximately 75% of primary liver tumors, HCC's global epidemiology is significantly influenced by HBV and hepatitis C virus (HCV) infections, alcohol and tobacco use, metabolic syndrome, diabetes, obesity, and aflatoxin B1 exposure. Preventive measures, including HBV vaccination and direct-acting antivirals for HCV, have reduced incidence rates, particularly in younger populations. Early diagnosis through surveillance in high-risk groups is critical, employing imaging modalities like ultrasound, CT, and MRI, alongside biomarkers such as alpha-fetoprotein (AFP). Prognostic assessments utilize scores like Child-Pugh and ALBI. Treatment strategies for HCC are multifaceted, involving surgical resection, locoregional therapies (e.g., transarterial chemoembolization), and systemic therapies, including targeted and immunotherapies. Despite advancements, treatment efficacy remains a challenge, necessitating ongoing research into novel therapeutic approaches and predictive biomarkers to enhance personalized treatment and improve outcomes for HCC patients.

The role of artificial intelligence in the management of liver diseases.

Universal neonatal hepatitis B virus (HBV) vaccination and the advent of direct-acting antivirals (DAA) against hepatitis C virus (HCV) have reshaped the epidemiology of chronic liver diseases. However, some aspects of the management of chronic liver diseases remain unresolved. Nucleotide analogs can achieve sustained HBV DNA suppression but rarely lead to a functional cure. Despite the high efficacy of DAAs, successful antiviral therapy does not eliminate the risk of hepatocellular carcinoma (HCC), highlighted the need for cost-effective identification of high-risk populations for HCC surveillance and tailored HCC treatment strategies for these populations. The accessibility of high-throughput genomic data has accelerated the development of precision medicine, and the emergence of artificial intelligence (AI) has led to a new era of precision medicine. AI can learn from complex, non-linear data and identify hidden patterns within real-world datasets. The combination of AI and multi-omics approaches can facilitate disease diagnosis, biomarker discovery, and the prediction of treatment efficacy and prognosis. AI algorithms have been implemented in various aspects, including non-invasive tests, predictive models, image diagnosis, and the interpretation of histopathology findings. AI can support clinicians in decision-making, alleviate clinical burdens, and curtail healthcare expenses. In this review, we introduce the fundamental concepts of machine learning and review the role of AI in the management of chronic liver diseases.

Intracellular Magnetic Hyperthermia Sensitizes Sorafenib to Orthotopic Hepatocellular Carcinoma Via Amplified Ferroptosis.

Sorafenib (SRF) is recognized as the primary treatment for hepatocellular carcinoma (HCC), yet the emergence of SRF resistance in many HCC patients results in unfavorable outcomes. Enhancing the efficacy of SRF in HCC remains a significant challenge. SRF works in inducing ferroptosis, a form of cell death, in cancer cells through the inhibition of glutathione peroxidase 4 (GPX4). The effectiveness of this process is limited by the low levels of cellular iron and reactive oxygen species (ROS). A promising approach to circumvent this limitation is the use of intracellular magnetic hyperthermia (MH) mediated by magnetic iron oxide nanomaterials (MIONs). When MIONs are subjected to an alternating magnetic field (AMF), they heat up, enhancing the Fenton reaction, which in turn significantly increases the production of ROS within cells. In this study, we explore the capability of MH facilitated by high-performance ferrimagnetic vortex-domain iron oxide nanoring (FVIO) to enhance the effectiveness of SRF treatment in HCC. The increased iron uptake facilitated by FVIO significantly enhances the sensitivity of HCC cells to SRF-induced ferroptosis. Moreover, the nanoheat generated by FVIO in response to an AMF further elevates ROS levels and stimulates lipid hydroperoxide (LPO) production and GPX4 inactivation, thereby intensifying ferroptosis. Both in vitro and in vivo animal studies demonstrate that combining FVIO-mediated MH with SRF significantly reduces cell viability and inhibits tumor growth, primarily through enhanced ferroptosis, with minimal side effects. The effectiveness of this combination therapy is affected by the ferroptosis inhibitor ferrostatin-1 (Fer-1) and the iron chelator deferoxamine (DFO). The combination treatment of FVIO-mediated MH and SRF offers a strategy for HCC treatment by promoting accelerated ferroptosis, presenting a different perspective for the development of ferroptosis-based anticancer therapies.

Targeting STAT3, FOXO3a, and Pim-1 kinase by FDA-approved tyrosine kinase inhibitor-Radotinib: An in silico and in vitro approach.

Cancer, a multifactorial pathological condition, is primarily caused due to mutations in multiple genes. Hepatocellular carcinoma (HCC) is a form of primary liver cancer that is often diagnosed at the advanced stage. Current treatment strategies for advanced HCC involve systemic therapies which are often hindered due to the emergence of resistance and toxicity. Therefore, a multitarget approach might prove more effective in HCC treatment. The present study focuses on targeting signal transducer and activator of transcription 3 (STAT3), forkhead box class O3a (FOXO3a), and proviral integration site for Moloney murine leukemia virus-1 (Pim-1) kinase, using a Food and Drug Administration (FDA)-approved anticancer drug library. Two compounds, namely, radotinib and capmatinib, were identified as top compounds using molecular docking. Among the two compounds, radotinib exhibited significant binding values towards the targeted proteins and their heterodimers. Furthermore, in vitro experiments involving 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT), live/dead, 4',6-diamidino-2-phenylindole, and clonogenic assays were performed to evaluate the effect of radotinib in human hepatoblastoma cell line/hepatocellular carcinoma cells. The gene expression data indicated reduced expression of FOXO3a and Pim-1, but no basal-level alteration of STAT3. The Western blot analysis assay showed that the phosphorylation level of STAT3 was significantly decreased upon radotinib treatment. Taken together, our findings suggest that radotinib, which is currently used in the treatment of chronic myeloid leukemia (CML), could be considered as a potential candidate for repurposing in the treatment of HCC.

Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. Anoikis and ErbB signaling pathways are pivotal in cancer cell proliferation and metastasis, but their relevance in HCC remains insufficiently explored. This study evaluates the prognostic significance of anoikis and ErbB signaling pathways in HCC by utilizing data from The Cancer Genome Atlas (TCGA), the International Cancer Genome Consortium (ICGC), three additional independent validation cohorts, and an in-house cohort. Advanced bioinformatics analyses and 167 machine learning models based on leave-one-out cross-validation (LOOCV) were used to predict HCC prognosis and assess outcomes of immune-targeted therapies. Additionally, key biological processes of the anoikis and ErbB signaling pathways in HCC were further investigated. The single sample Gene Set Enrichment Analysis revealed a strong correlation between upregulated ErbB signaling in high anoikis-expressing tumors and poor clinical outcomes. The development of the Anoikis-ErbB Related Signature (AERS) using the LASSO + RSF model demonstrated robust predictive capabilities, as validated across multiple patient cohorts, and proved effective in predicting responses to immune-targeted therapies. Further investigation highlighted activated NOTCH signaling pathways and decreased macrophage infiltration was associated with resistance to sorafenib and immune checkpoint inhibitors, as evidenced by bulk and single-cell RNA sequencing (scRNA-seq). AERS provides a novel tool for clinical prognosis and paves the way for immune-targeted therapeutic approaches, underscoring the potential of integrated molecular profiling in enhancing treatment strategies for HCC.

Targeting suppression of AKT activation boosts chemosensitivity of hepatocarcinoma cells via regulation of inflammation and metastasis: Functional protection of Rehmapicroside

Hepatocellular carcinoma (HCC) is the most common malignant tumors with poor prognosis and few effective therapeutic strategies. Although cisplatin (cDDP) is the first-line chemotherapy for HCC, its application has been limited due to drug resistance and side effects. Rehmapicroside (Reh) is a major active principle of the root of Radix Rehmanniae that has anti-tumor effects. In the present study, we uncovered the role of Reh in modulating chemosensitivity of cDDP in HCC. We found that combinational treatments of Reh and cDDP significantly reduced the cell proliferation of HCC cells at relatively lower concentrations for each drug. Cell cycle arrest in G2/M phase was markedly induced in HCC cells co-treated with Reh and cDDP compared with cDDP alone group. In addition, Reh dramatically enhanced the capacity of cDDP to induce apoptosis in HCC cells through increasing Caspase-3 cleavage. Co-treatment with Reh and cDDP effectively suppressed tumor growth in xenograft mouse models of HCC without adverse effects. Moreover, migration and invasion of HCC cells were significantly restrained by combinational treatments of Reh and cDDP. Mechanistically, tripartite motif protein 21-phosphatidylinositol 3-kinase/protein kinase B (TRIM21-PI3K/AKT) signaling pathway was considerably impeded in HCC cells and tumor tissues by Reh and cDDPco-treatment. Notably, we found that constitutive activation of AKT almost completely abrogated the capacity of Reh plus cDDP to inhibit cell proliferation, migration, and invasion. Collectively, our results demonstrated that combinational therapy of Reh and cDDP may be a novel and effective therapeutic strategy for HCC treatment.

Conversion therapy for hepatocellular carcinoma to improve treatment strategies for intermediate and advanced stages.

This manuscript is based on a case reported by Song et al published in the World Journal of Clinical Cases. Several challenges remain in the field of hepatocellular carcinoma (HCC) conversion therapy. Consequently, only a limited number of patients with HCC accompanied by portal vein tumor thrombosis (PVTT) and hepatic vein tumor thrombosis (HVTT) are eligible for resection. This clinical case demonstrates that considering the complexity of the disease, a multimodal and multidisciplinary approach is essential for managing HCC accompanied by PVTT and HVTT. However, the outcomes of such surgeries remain controversial. In conclusion, research on HCC conversion therapy is extremely useful for improving treatment strategies for intermediate and advanced HCC, which currently have disappointing clinical outcomes.

N6-Methyladenosine modification activates the serine synthesis pathway to mediate therapeutic resistance in liver cancer

Metabolic adaptation serves as a significant driving force for cancer growth and poses a substantial obstacle for cancer therapies. Herein, we unravelled the role of m6A -mediated serine synthesis pathway regulation in both hepatocellular carcinoma (HCC) development and therapeutic resistance. We demonstrated that the highly specific m6A inhibitor (STM2457) treatment effectively inhibited HCC cell line growth and suppressed spontaneous HCC formation in mice driven by liver specific Tp53 knockout and Myc overexpression. Using GLORI-seq, we delineated a single-base resolution m6A landscape in human HCC cell lines. Interestingly, we identified three core enzymes in the serine synthesis pathway (PHGDH, PSAT1, and PSPH) as novel targets of METTL3-mediated m6A modification. In these SSP genes, m6A modification recruited IGF2BP3 reader to stabilize their mRNA transcripts, thereby enhancing their mRNA and protein expression in HCC cells. Most importantly, our GLORI-seq data revealed that sorafenib-resistant HCC cells elevated m6A modification in SSP genes to promote protein expression and antioxidant production. STM2457 treatment attenuated the serine synthesis pathway, induced oxidative stress, and sensitized HCC cells to sorafenib and lenvatinib treatments. In conclusion, our findings suggest that targeting m6A could be a potential therapeutic strategy for HCC treatment.

Bismuth-based mesoporous nanoball carrying sorafenib for synergistic photothermal and molecularly-targeted therapy in an orthotopic hepatocellular carcinoma xenograft mouse model

Sorafenib (SOR), a multi-kinase inhibitor for advanced hepatocellular carcinoma (HCC), has limited clinical application due to severe side effects and drug resistance. To overcome these challenges, we developed a bismuth-based nanomaterial (BOS) for thermal injury-assisted continuous targeted therapy in HCC. Initially, the mesoporous nanomaterial was loaded with SOR, forming the BOS@SOR nano-carrier system for drug delivery and controlled release. Notably, compared to targeted or photothermal therapy alone, the combination therapy using this nano-carrier system significantly impaired cell proliferation and increased apoptosis. In vivo efficacy evaluations demonstrated that BOS@SOR exhibited excellent biocompatibility, confirmed through hemolysis and biochemical analyses. Additionally, BOS@SOR enhanced contrast in computed tomography, aiding in the precise identification of HCC size and location. The photothermal therapeutic properties of bismuth further contributed to the synergistic anti-tumor activity of BOS@SOR, significantly reducing tumor growth in an orthotopic xenograft HCC model. Taken together, encapsulating SOR within a bismuth-based mesoporous nanomaterial creates a multifunctional and environmentally stable nanocomposite (BOS@SOR), enhancing the therapeutic effect of SOR and presenting an effective strategy for HCC treatment.

PPM1G and its diagnostic, prognostic and therapeutic potential in HCC (Review).

Global statistics indicate that hepatocellular carcinoma (HCC) is the sixth most common cancer and the third leading cause of cancer‑related death. Protein phosphatase Mg2+/Mn2+ dependent 1G (PPM1G, also termed PP2Cγ) is one of the 17 members of the PPM family. The enzymatic activity of PPM1G is highly reliant on Mg2+ or Mn2+ and serves as a dephosphorylation regulator for numerous key proteins. PPM1G, functioning as a phosphatase, is involved in a number of significant biological processes such as the regulation of eukaryotic gene expression, DNA damage response, cell cycle and apoptosis, cell migration ability, cell survival and embryonic nervous system development. Additionally, PPM1G serves a role in regulating various signaling pathways. In recent years, further research has increasingly highlighted PPM1G as an oncogene in HCC. A high expression level of PPM1G is closely associated with the occurrence, progression and poor prognosis of HCC, offering notable diagnostic and therapeutic value for this patient population. In the present review, the regulatory role of PPM1G in diverse biological processes and signaling pathway activation in eukaryotes is evaluated. Furthermore, its potential application as a biomarker in the diagnosis and prognosis evaluation of HCC is assessed, and future prospects for HCC treatment strategies centered on PPM1G are discussed.

Application of galactosylated albumin for targeted delivery of triptolide to suppress hepatocellular carcinoma progression through inhibiting de novo lipogenesis

Hepatocellular carcinoma (HCC) remains the fourth leading cause of cancer-associated death globally with a lack of efficient therapy. The pathogenesis of HCC is a complex and multistep process, highly reliant on de novo lipogenesis, from which tumor cells can incorporate fatty acids to satisfy the necessary energy demands of rapid proliferation and provide survival advantages. Triptolide (TP) is a bioactive ingredient exhibiting potent abilities of anti-proliferation and lipid metabolism regulation, but its clinical application is constrained because of its toxicity and non-specific distribution. The present study has developed galactosylated bovine serum albumin nanoparticles loaded with TP (Gal-BSA-TP NPs) to alleviate systemic toxicity and increase tumor-targeting and antitumor efficacy. Furthermore, Gal-BSA-TP NPs could inhibit de novo lipogenesis via the p53-SREBP1C-FASN pathway to deprive the fuel supply of HCC, offering a specific strategy for HCC treatment. In general, this study provided a biocompatible delivery platform for targeted therapy for HCC from the perspective of de novo lipogenesis.

Proteogenomic Identification and Analysis of KIF5B as a Prognostic Signature for Hepatocellular Carcinoma.

Metabolic disorders are significant risk factors for liver cancer, particularly Hepatocellular Carcinoma (HCC). However, the molecular genetic basis of metabolic reprogramming in the liver remains largely uncertain. This study aimed to investigate some novel prognostic biomarkers in HCC by using proteogenomic and transcriptomic analysis and explore the potential role of specific prognostic genes in HCC. Here, we have presented a proteogenomic analysis of 10 pairs of HCC. Protein co-expression and pathway analysis were performed to investigate the biological characteristics of HCC. Protein and mRNA expression profiles of multi-cohorts were integrated to detect novel prognostic protein markers of HCC. The carcinogenic roles of candidate prognostic markers were further evaluated by MTS assay, colony formation, monolayer wound healing assay, and xenograft models. A total of 2086 proteins with significantly different expressions were detected in HCC. Pathways related to oncogenic signaling and insulin-related metabolism have been found to be dysregulated and differentially regulated in HCC. We have identified the novel prognostic biomarkers, KIF5B, involved in liver metabolic reprogramming. The biomarkers were identified using multivariable COX regression analysis from two independent proteomic datasets (Fudan Cohort and our recruited cohort) and the TCGA mRNA database. Both the protein and mRNA up-regulation of KIF5B have been found to be associated with a poor clinical outcome in HCC. Insulin activated the protein expression of KIF5B in HCC. Knocking out KIF5B expression by sgRNA decreased the protein expression of FASN and SCD1 and the intracellular triglyceride concentration. Silencing KIF5B suppressed HCC cell proliferation and colony formation in vitro, as well as HCC growth in xenograft models. Our findings have suggested KIF5B protein to function as a novel prognostic biomarker in HCC. KIF5B expression has been found to activate the AKT/mTOR pathway and reprogram triglyceride metabolism, leading to HCC development. Targeting KIF5B may be an effective strategy in the clinical treatment of HCC.

Heat shock transcription factor 1 facilitates liver cancer progression by driving super-enhancer-mediated transcription of MYCN.

Heat shock transcription factors (HSFs) play crucial roles in the development of malignancies. However, the specific roles of HSFs in hepatocellular carcinoma (HCC) have yet to be fully elucidated. To explore the involvement of the HSF family, particularly HSF1, in the progression and prognosis of HCC. We conducted a thorough analysis of HSF expression and copy number variations across various cancer datasets. Specifically focusing on HSF1, we examined its expression levels and prognostic implications in HCC. Invitro and invivo experiments were carried out to evaluate the impact of HSF1 on liver cancer cell proliferation. Additionally, we utilized CUT&Tag, H3K27 acetylation enrichment, and RNA sequencing (RNA-seq) to investigate the super-enhancer (SE) regulatory landscapes of HSF1 in liver cancer cell lines. HSF1 expression is elevated in HCC and is linked to poor prognosis in several datasets. HSF1 stimulates liver cancer cell proliferation both invitro and invivo, partly through modulation of H3K27ac levels, influencing enhancer distribution. Mechanistically, our findings demonstrate that HSF1 transcriptionally activates MYCN expression by binding to its promoter and SE elements, thereby promoting liver cancer cell proliferation. Moreover, increased MYCN expression was detected in HCC tumors and correlated with unfavorable patient outcomes. Our study sheds light on previously unexplored aspects of HSF1 biology, identifying it as a transcription factor capable of shaping the epigenetic landscape in the context of HCC. Given HSF1's potential as an epigenetic regulator, targeting the HSF1-MYCN axis could open up new therapeutic possibilities for HCC treatment. The HSF1-MYCN axis constitutes a transcription-dependent regulatory mechanism that may function as both a prognostic indicator and a promising therapeutic target in liver cancer. Further exploration of this axis could yield valuable insights into novel treatment strategies for HCC.

Co-delivery of camptothecin and MiR-145 by lipid nanoparticles for MRI-visible targeted therapy of hepatocellular carcinoma

BackgroundCamptothecin (CPT) is one of the frequently used small chemotherapy drugs for treating hepatocellular carcinoma (HCC), but its clinical application is limited due to severe toxicities and acquired resistance. Combined chemo-gene therapy has been reported to be an effective strategy for counteracting drug resistance while sensitizing cancer cells to cytotoxic agents. Thus, we hypothesized that combining CPT with miR-145 could synergistically suppress tumor proliferation and enhance anti-tumor activity.MethodsLactobionic acid (LA) modified lipid nanoparticles (LNPs) were developed to co-deliver CPT and miR-145 into asialoglycoprotein receptors-expressing HCC in vitro and in vivo. We evaluated the synergetic antitumor effect of miR-145 and CPT using CCK8, Western blotting, apoptosis and wound scratch assay in vitro, and the mechanisms underlying the synergetic antitumor effects were further investigated. Tumor inhibitory efficacy, safety evaluation and MRI-visible ability were assessed using diethylnitrosamine (DEN) + CCl4-induced HCC mouse model.ResultsThe LA modification improved the targeting delivery of cargos to HCC cells and tissues. The LA-CMGL-mediated co-delivery of miR-145 and CPT is more effective on tumor inhibitory than LA-CPT-L or LA-miR-145-L treatment alone, both in vitro and in vivo, with almost no side effects during the treatment period. Mechanistically, miR-145 likely induces apoptosis by targeting SUMO-specific peptidase 1 (SENP1)-mediated hexokinase (HK2) SUMOylation and glycolysis pathways and, in turn, sensitizing the cancer cells to CPT. In vitro and in vivo tests confirmed that the loaded Gd-DOTA served as an effective T1-weighted contrast agent for noninvasive tumor detection as well as real-time monitoring of drug delivery and biodistribution.ConclusionsThe LA-CMGL-mediated co-delivery of miR-145 and CPT displays a synergistic therapy against HCC. The novel MRI-visible, actively targeted chemo-gene co-delivery system for HCC therapy provides a scientific basis and a useful idea for the development of HCC treatment strategies in the future.

Computed tomography-based radiomics predicts the fibroblast-related gene EZH2 expression level and survival of hepatocellular carcinoma

BACKGROUND Hepatocellular carcinoma (HCC) is the most common subtype of liver cancer. The primary treatment strategies for HCC currently include liver transplantation and surgical resection. However, these methods often yield unsatisfactory outcomes, leading to a poor prognosis for many patients. This underscores the urgent need to identify and evaluate novel therapeutic targets that can improve the prognosis and survival rate of HCC patients. AIM To construct a radiomics model that can accurately predict the EZH2 expression in HCC. METHODS Gene expression, clinical parameters, HCC-related radiomics, and fibroblast-related genes were acquired from public databases. A gene model was developed, and its clinical efficacy was assessed statistically. Drug sensitivity analysis was conducted with identified hub genes. Radiomics features were extracted and machine learning algorithms were employed to generate a radiomics model related to the hub genes. A nomogram was used to illustrate the prognostic significance of the computed Radscore and the hub genes in the context of HCC patient outcomes. RESULTS EZH2 and NRAS were independent predictors for prognosis of HCC and were utilized to construct a predictive gene model. This model demonstrated robust performance in diagnosing HCC and predicted an unfavorable prognosis. A negative correlation was observed between EZH2 expression and drug sensitivity. Elevated EZH2 expression was linked to poorer prognosis, and its diagnostic value in HCC surpassed that of the risk model. A radiomics model, developed using a logistic algorithm, also showed superior efficiency in predicting EZH2 expression. The Radscore was higher in the group with high EZH2 expression. A nomogram was constructed to visually demonstrate the significant roles of the radiomics model and EZH2 expression in predicting the overall survival of HCC patients. CONCLUSION EZH2 plays significant roles in diagnosing HCC and therapeutic efficacy. A radiomics model, developed using a logistic algorithm, efficiently predicted EZH2 expression and exhibited strong correlation with HCC prognosis.

A mutational signature and ARID1A mutation associated with outcome in hepatocellular carcinoma.

The prognosis of hepatocellular carcinoma (HCC) is poor and there is no stable and reliable molecular biomarker for evaluation. This study attempted to find reliable prognostic markers from tumor mutational profiles. A total of 362 HCC samples with whole-exome sequencing were collected as discovery datasets, and 200 samples with targeted sequencing were used for validation of the relevant results. All HCC samples were obtained from previously published studies. Bayesian non-negative matrix factorization was used to extract mutational signatures, and multivariate Cox regression models were utilized to identify the prognostic role of mutational factors. Gene set enrichment analysis was employed to discover potential signaling pathways associated with specific mutational groups. In the HCC discovery dataset, a total of four mutational signatures (i.e., signatures 4, 6, 16, and 22) were extracted, of which signature 16 characterized by T>C mutations was observed to be associated with favorable HCC prognosis, and this correlation was also found in the validation dataset. Further analysis showed that patients with ARID1A mutations exhibited inferior survival outcomes in both discovery and validation datasets. Mechanistic exploration revealed that the presence of signature 16 was associated with better immune infiltration and tumor immunogenicity, while patients with ARID1A mutations were away from these favorable immunological features. By integrating somatic mutation data and clinical information of HCC, this study identified that signature 16 and ARID1A mutations were associated with better and worse outcomes respectively, providing a basis for prognosis prediction and clinical treatment strategies of HCC.