OBJECTIVES: Hepatocellular carcinoma is one of the most common primary malignant tumors with the third highest mortality rate worldwide. This study aims to identify key genes associated with hepatocellular carcinoma prognosis using the Gene Expression Omnibus (GEO) database and provide a theoretical basis for discovering novel prognostic biomarkers for hepatocellular carcinoma. METHODS: Hepatocellular carcinoma-related datasets were retrieved from the GEO database. Differentially expressed genes (DEGs) were identified using the GEO2R tool. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). A protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), and key genes were identified using Cytoscape software. The University of Alabama at Birmingham Cancer Data Analysis Resource (UALCAN) was used to analyze the expression levels of key genes in normal and hepatocellular carcinoma tissues, as well as their associations with pathological grade, clinical stage, and patient survival. The Human Protein Atlas (THPA) was used to further validate the impact of key genes on overall survival. Expression levels of key genes in the blood of hepatocellular carcinoma patients were evaluated using the expression atlas of blood-based biomarkers in the early diagnosis of cancers (BBCancer). RESULTS: A total of 78 DEGs were identified from the GEO database. GO and KEGG analyses indicated that these genes may contribute to hepatocellular carcinoma progression by promoting cell division and regulating protein kinase activity. Sixteen key genes were screened via Cytoscape and validated using UALCAN and THPA. These genes were overexpressed in hepatocellular carcinoma tissues and were associated with disease progression and poor prognosis. Finally, BBCancer analysis showed that ASPM and NCAPG were also elevated in the blood of hepatocellular carcinoma patients. CONCLUSIONS This study identified 16 key genes as potential prognostic biomarkers for hepatocellular carcinoma, among which ASPM and NCAPG may serve as promising blood-based markers for hepatocellular carcinoma.
Humans ; Carcinoma, Hepatocellular/mortality* ; Liver Neoplasms/pathology* ; Prognosis ; Computational Biology/methods* ; Protein Interaction Maps/genetics* ; Biomarkers, Tumor/genetics* ; Gene Expression Regulation, Neoplastic ; Gene Expression Profiling ; Gene Ontology ; Databases, Genetic

OBJECTIVE: Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity. METHODS: To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes. RESULTS: We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1. CONCLUSION We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Circadian Rhythm/genetics* ; Prognosis ; Male ; Female ; Biomarkers, Tumor/genetics* ; Middle Aged ; Machine Learning ; Computational Biology

Ferroptosis is a form of regulated cell death, which is dependent on iron metabolism imbalance and characterized by lipid peroxidation. Ferroptosis plays a crucial role in various pathological processes. Studies have shown that the occurrence of ferroptosis is closely associated with the progression of hepatocellular carcinoma (HCC). Ferroptosis is involved in regulating the lipid metabolism, iron homeostasis, mitochondrial metabolism, and redox processes in HCC. Additionally, ferroptosis plays a key role in HCC tumor immunity by modulating the phenotype and function of various immune cells in the tumor microenvironment, affecting tumor immune escape and progression. Ferroptosis-induced lipid peroxidation and oxidative stress can promote the polarization of M1 macrophages and enhance the pro-inflammatory response in tumors, inhibiting immune suppressive cells such as myeloid-derived suppressor cells and regulatory T cells to disrupt their immune suppression function. The regulation of expression of ferroptosis-related molecules such as GPX4 and SLC7A11 not only affects the sensitivity of tumor cells to immunotherapy but also directly influences the activity and survival of effector cells such as T cells and dendritic cells, further enhancing or weakening host antitumor immune response. Targeting ferroptosis has demonstrated significant clinical potential in HCC treatment. Induction of ferroptosis by nanomedicines and molecular targeting strategies can directly kill tumor cells or enhance antitumor immune responses. The integration of multimodal therapies with immunotherapy further expands the application of ferroptosis targeting as a cancer therapy. This article reviews the relationship between ferroptosis and antitumor immune responses and the role of ferroptosis in HCC progression from the perspective of tumor immune microenvironment, to provide insights for the development of antitumor immune therapies targeting ferroptosis.
Ferroptosis ; Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/metabolism* ; Tumor Microenvironment/immunology* ; Lipid Peroxidation ; Immunotherapy ; Oxidative Stress ; Iron/metabolism* ; Lipid Metabolism ; Phospholipid Hydroperoxide Glutathione Peroxidase/metabolism* ; Macrophages/immunology* ; Amino Acid Transport System y+

As the central organ of metabolism, the liver plays a pivotal role in the regulation of the synthesis and metabolism of various nutrients within the body. Ferroptosis, as a newly discovered type of programmed cell death caused by the accumulation of iron-dependent lipid peroxides, is involved in the physiological and pathological processes of a variety of acute and chronic liver diseases. Ferroptosis can accelerate the pathogenetic process of acute liver injury, metabolic associated fatty liver disease, alcoholic liver disease, viral hepatitis, and autoimmune hepatitis; while it can slower disease progression in advanced liver fibrosis and hepatocellular carcinoma. This suggests that targeted regulation of ferroptosis may impact the occurrence and development of various liver diseases. This article reviews the latest research progress of ferroptosis in various liver diseases, including acute liver injury, metabolic associated fatty liver disease, alcoholic liver disease, viral hepatitis, autoimmune hepatitis, liver fibrosis and hepatocellular carcinoma. It aims to provide insights for the prevention and treatment of acute and chronic liver diseases through targeting ferroptosis.
Humans ; Liver Diseases/etiology* ; Ferroptosis/physiology* ; Liver Neoplasms/pathology* ; Carcinoma, Hepatocellular/pathology* ; Liver Cirrhosis/etiology* ; Liver/pathology* ; Hepatitis, Autoimmune/metabolism* ; Liver Diseases, Alcoholic/metabolism*

OBJECTIVE: Tumor-derived exosomes (TDEs) play crucial roles in intercellular communication. Hypoxia in the tumor microenvironment enhances secretion of TDEs and accelerates tumor metastasis. Jiedu recipe (JR), a traditional Chinese medicinal formula, has demonstrated efficacy in preventing the metastasis of hepatocellular carcinoma (HCC). However, the underlying mechanism remains largely unknown. METHODS: Animal experiments were performed to investigate the metastasis-preventing effects of JR. Bioinformatics analysis and in vitro assays were conducted to explore the potential targets and active components of JR. TDEs were assessed using nanoparticle tracking analysis (NTA) and Western blotting (WB). Exosomes derived from normoxic or hypoxic HCC cells (H-TDEs) were collected to establish premetastatic mouse models. JR was intragastrically administered to evaluate its metastasis-preventive effects. WB and lysosomal staining were performed to investigate the effects of JR on lysosomal function and autophagy. Bioinformatics analysis, WB, NTA, and immunofluorescence staining were used to identify the active components and potential targets of JR. RESULTS: JR effectively inhibited subcutaneous-tumor-promoted lung premetastatic niche development and tumor metastasis. It inhibited the release of exosomes from tumor cells under hypoxic condition. JR treatment promoted both lysosomal acidification and suppressed secretory autophagy, which were dysregulated in hypoxic tumor cells. Quercetin was identified as the active component in JR, and the epidermal growth factor receptor (EGFR) was identified as a potential target. Quercetin inhibited EGFR phosphorylation and promoted the nuclear translocation of transcription factor EB (TFEB). Hypoxia-impaired lysosomal function was restored, and secretory autophagy was alleviated by quercetin treatment. CONCLUSION JR suppressed HCC metastasis by inhibiting hypoxia-stimulated exosome release, restoring lysosomal function, and suppressing secretory autophagy. Quercetin acted as a key component of JR and regulated TDE release through EGFR-TFEB signaling. Our study provides a potential strategy for retarding tumor metastasis by targeting H-TDE secretion. Please cite this article as: Jia WT, Xiang S, Zhang JB, Yuan JY, Wang YQ, Liang SF, Lin WF, Zhai XF, Shang Y, Ling CQ, Cheng BB. Jiedu recipe, a compound Chinese herbal medicine, suppresses hepatocellular carcinoma metastasis by inhibiting the release of tumor-derived exosomes in a hypoxic microenvironment through the EGFR-TFEB signaling pathway. J Integr Med. 2024; 22(6): 697-709.
Exosomes/drug effects* ; Animals ; Carcinoma, Hepatocellular/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Liver Neoplasms/pathology* ; Tumor Microenvironment/drug effects* ; Mice ; Humans ; Cell Line, Tumor ; Mice, Inbred BALB C ; Neoplasm Metastasis ; Male ; Mice, Nude

With the development of modern liver surgical techniques and the progress of perioperative management,the survival rate after resection of hepatocellular carcinoma has been greatly improved,but the high recurrence and metastasis rate still limits the long-term survival after surgery. Preoperative neoadjuvant therapy has been confirmed to significantly reduce the postoperative recurrence rate and prolong survival in other types of cancer,but there has been a lack of effective systemic therapy for hepatocellular carcinoma for a long time,so the efficacy and regimen of neoadjuvant therapy for hepatocellular carcinoma are still controversial. PD-1/PD-L1 monoclonal antibody combined with anti-angiogenic targeted drugs has become a first-line regimen in systemic therapy for advanced hepatocellular carcinoma. This regimen has definite efficacy and high safety,bringing hope for neoadjuvant therapy of hepatocellular carcinoma. Recently,three clinical trials of neoadjuvant immunotherapy for hepatocellular carcinoma have been published internationally,which preliminarily suggest the efficacy and safety of neoadjuvant immunotherapy for hepatocellular carcinoma and lay a solid foundation for carrying out larger sample clinical studies in the future.
Humans ; Carcinoma, Hepatocellular/pathology* ; Neoadjuvant Therapy ; Liver Neoplasms/pathology* ; Immunotherapy

Objective: To establish and validate a nomogram model for predicting the risk of microvascular invasion(MVI) in hepatocellular carcinoma. Methods: The clinical data of 210 patients with hepatocellular carcinoma who underwent hepatectomy at Department of Hepatobiliary and Pancreatic Surgery,the Affiliated Hospital of Qingdao University from January 2013 to October 2021 were retrospectively analyzed. There were 169 males and 41 females, aged(M(IQR)) 57(12)years(range:30 to 80 years). The patients were divided into model group(the first 170 cases) and validation group(the last 40 cases) according to visit time. Based on the clinical data of the model group,rank-sum test and multivariate Logistic regression analysis were used to screen out the independent related factors of MVI. R software was used to establish a nomogram model to predict the preoperative MVI risk of hepatocellular carcinoma,and the validation group data were used for external validation. Results: Based on the modeling group data,the receiver operating characteristic curve was used to determine that cut-off value of DeRitis ratio,γ-glutamyltransferase(GGT) concentration,the inverse number of activated peripheral blood T cell ratio (-aPBTLR) and the maximum tumor diameter for predicting MVI, which was 0.95((area under curve, AUC)=0.634, 95%CI: 0.549 to 0.719), 38.2 U/L(AUC=0.604, 95%CI: 0.518 to 0.689),-6.05%(AUC=0.660, 95%CI: 0.578 to 0.742),4 cm(AUC=0.618, 95%CI: 0.533 to 0.703), respectively. Univariate and multivariate Logistic regression analysis showed that DeRitis≥0.95,GGT concentration ≥38.2 U/L,-aPBTLR>-6.05% and the maximum tumor diameter ≥4 cm were independent related factors for MVI in hepatocellular carcinoma patients(all P<0.05). The nomogram prediction model based on the above four factors established by R software has good prediction efficiency. The C-index was 0.758 and 0.751 in the model group and the validation group,respectively. Decision curve analysis and clinical impact curve showed that the nomogram model had good clinical benefits. Conclusions: DeRitis ratio,serum GGT concentration,-aPBTLR and the maximum tumor diameter are valuable factors for preoperative prediction of hepatocellular carcinoma with MVI. A relatively reliable nomogram prediction model could be established on them.
Female ; Humans ; Male ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Neoplasm Invasiveness ; Nomograms ; Retrospective Studies ; Risk Factors ; Adult ; Middle Aged ; Aged ; Aged, 80 and over

OBJECTIVE: Programmed cell death 6 (PDCD6), a Ca ²⁺-binding protein, has been reported to be aberrantly expressed in all kinds of tumors. The aim of this study was to explore the role and mechanism of PDCD6 in hepatocellular carcinomas (HCCs). METHODS: The expression levels of PDCD6 in liver cancer patients and HCC cell lines were analyzed using bioinformatics and Western blotting. Cell viability and metastasis were determined by methylthiazol tetrazolium (MTT) and transwell assays, respectively. And Western blotting was used to test related biomarkers and molecular pathway factors in HCC cell lines. LY294002, a PI3K inhibitor inhibiting AKT, was used to suppress the AKT/GSK3β/β-catenin pathway to help evaluate the role of this pathway in the HCC carcinogenesis associated with PDCD6. RESULTS: The analysis of The Cancer Genome Atlas Database suggested that high PDCD6 expression levels were relevant to liver cancer progression. This was consistent with our finding of higher levels of PDCD6 expression in HCC cell lines than in normal hepatocyte cell lines. The results of MTT, transwell migration, and Western blotting assays revealed that overexpression of PDCD6 positively regulated HCC cell proliferation, migration, and invasion. Conversely, the upregulation of PDCD6 expression in the presence of an AKT inhibitor inhibited HCC cell proliferation, migration, and invasion. In addition, PDCD6 promoted HCC cell migration and invasion by epithelial-mesenchymal transition. The mechanistic investigation proved that PDCD6 acted as a tumor promoter in HCC through the AKT/GSK3β/β-catenin pathway, increasing the expression of transcription factors and cellular proliferation and metastasis. CONCLUSION PDCD6 has a tumor stimulative role in HCC mediated by AKT/GSK3β/β-catenin signaling and might be a potential target for HCC progression.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Proto-Oncogene Proteins c-akt/metabolism* ; beta Catenin/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Glycogen Synthase Kinase 3 beta/metabolism* ; Cell Line ; Cell Proliferation ; Cell Line, Tumor ; Gene Expression Regulation, Neoplastic ; Calcium-Binding Proteins/metabolism* ; Apoptosis Regulatory Proteins/genetics*

Fontan-associated liver disease (FALD) is one of the main complications after the Fontan procedure, manifesting mostly as liver fibrosis and even cirrhosis, with a high incidence rate and a lack of typical clinical symptoms that seriously affect patient prognosis. The specific cause is unknown, although it is considered to be associated with long-term elevated central venous pressure, impaired hepatic artery blood flow, and other relevant factors. The absence of association between laboratory tests, imaging data, and the severity of liver fibrosis makes clinical diagnosis and monitoring difficult. A liver biopsy is the gold standard for diagnosing and staging liver fibrosis. The most important risk factor for FALD is time following the Fontan procedure; therefore, it is recommended to do a liver biopsy 10 years after the Fontan procedure and to be cautious for the presence of hepatocellular carcinoma. Combined heart-liver transplantation is a recommended choice with favorable outcomes for patients with Fontan circulatory failure and severe hepatic fibrosis.
Humans ; Liver Diseases/pathology* ; Liver Cirrhosis/pathology* ; Liver/pathology* ; Carcinoma, Hepatocellular/pathology* ; Liver Transplantation/adverse effects* ; Fontan Procedure/adverse effects* ; Postoperative Complications/pathology* ; Liver Neoplasms/pathology*

Accumulating evidence has confirmed the links between transfer RNA (tRNA) modifications and tumor progression. The present study is the first to explore the role of tRNA methyltransferase 5 (TRMT5), which catalyzes the m1G37 modification of mitochondrial tRNAs in hepatocellular carcinoma (HCC) progression. Here, based on bioinformatics and clinical analyses, we identified that TRMT5 expression was upregulated in HCC, which correlated with poor prognosis. Silencing TRMT5 attenuated HCC proliferation and metastasis both in vivo and in vitro, which may be partially explained by declined extracellular acidification rate (ECAR) and oxygen consumption rate (OCR). Mechanistically, we discovered that knockdown of TRMT5 inactivated the hypoxia-inducible factor-1 (HIF-1) signaling pathway by preventing HIF-1α stability through the enhancement of cellular oxygen content. Moreover, our data indicated that inhibition of TRMT5 sensitized HCC to doxorubicin by adjusting HIF-‍1α. In conclusion, our study revealed that targeting TRMT5 could inhibit HCC progression and increase the susceptibility of tumor cells to chemotherapy drugs. Thus, TRMT5 might be a carcinogenesis candidate gene that could serve as a potential target for HCC therapy.
Humans ; Carcinoma, Hepatocellular/pathology* ; Cell Hypoxia ; Cell Line, Tumor ; Gene Expression Regulation, Neoplastic ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Liver Neoplasms/pathology* ; Signal Transduction/genetics* ; tRNA Methyltransferases/metabolism*