BACKGROUND: Current guidelines recommend hepatocellular carcinoma (HCC) screening in high-risk populations. However, the ideal HCC screening interval and screening modality have not been determined. This study aimed to compare the screening efficacy among different modalities with various intervals. METHODS: PubMed and other nine databases were searched through June 30, 2021. Binary outcomes were pooled using risk ratio (RR) with 95% confidence intervals (CIs). Survival rates were also pooled using RR with 95% CIs because most eligible studies only provided the number of survival patients instead of hazard ratio. RESULTS: In all, 13 studies were included. Two random controlled trials (RCTs) and six cohort studies compared screening intervals for ultrasonography (US) screening and found no significant differences between shorter (3- or 4-month) and longer (6- or 12-month) screening intervals in terms of early HCC proportion, HCC significant mortality, 1-year survival rate; screening at 6-month interval significantly increased the proportion of early HCC (RR = 1.17, 95% confidence interval [CI]: 1.08-1.26) and prolonged the 5-year survival rate (RR = 1.39, 95% CI: 1.07-1.82) relative to the 12-month interval results. Three other RCTs and two cohort studies compared different screening modalities in cirrhosis or chronic hepatitis B, which indicated no statistical differences in the proportion of early HCC (RR = 0.89, 95% CI: 0.40-1.96) and HCC mortality (RR = 0.69, 95% CI: 0.23-2.09) between the biannual US and annual computed tomography (CT screening). Biannual US screening showed a lower proportion of early HCC than biannual magnetic resonance imaging (MRI) (RR = 0.60, 95% CI: 0.37-0.97) and biannual US combined with annual CT (RR = 1.31, 95% CI: 1.13-1.51) screening. The proportion of early HCC in the contrast-enhanced US group was slightly higher than that in the B-mode US (RR = 1.08, 95% CI: 1.00-1.23) group. CONCLUSIONS: The evidence suggests that 6 months may be the best HCC screening interval for US screening. The effectiveness of CT and MRI is better than US during same screening intervals. However, MRI and CT are more expensive than US, and CT also can increase the risk of radiation exposure. The selection of CT or MRI instead of US should be carefully considered. REGISTRATION No. CRD42020148258 at PROSPERO website ( https://www.crd.york.ac.uk/PROSPERO/ ).
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Liver Cirrhosis/complications* ; Risk Factors ; Cohort Studies

Hepatocellular carcinoma (HCC) is the most common type of primary hepatocellular carcinoma (PHC). Early diagnosis of HCC remains the key to improve the prognosis. In recent years, with the promotion of the concept of precision medicine and more in-depth analysis of the biological mechanism underlying HCC, new diagnostic methods, including emerging serum markers, liquid biopsies, molecular diagnosis, and advances in imaging (novel contrast agents and radiomics), have emerged one after another. Herein, we reviewed and analyzed scientific advances in the early diagnosis of HCC and discussed their application and shortcomings. This review aimed to provide a reference for scientific research and clinical practice of HCC.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Prognosis ; Early Diagnosis ; Precision Medicine

Transarterial interventional therapy is one of the most widely used treatment methods in patients with primary hepatocellular carcinoma. With the progress in interventional technology and the use of new drugs, transarterial interventional therapy has achieved favorable results in the treatment of primary hepatocellular carcinoma and has become the first choice non-surgical treatment for advanced liver cancer. However, at present, there are great differences in the drugs used in transarterial interventional treatment and the combined application of other drugs among centers, and there is no uniform consensus or guideline. Based on the latest research data and clinical practice experience, as well as the characteristics of Chinese patients, the Specialist Group of Interventional Drugs, Interventionalists Branch of the Chinese Medical Doctor Association was organized to formulate the Chinese expert consensus on intra-arterial drug and combined drug administration for primary hepatocellular carcinoma. The purpose of this consensus is to explore the efficacy and safety of drugs and drug combinations related to intra-arterial interventional therapy, the use of drugs in special populations, the management of adverse reactions, and adjuvant drugs to provide a reference for clinical practice.
Humans ; Carcinoma, Hepatocellular/pathology* ; Consensus ; East Asian People ; Liver Neoplasms/pathology* ; Pharmaceutical Preparations ; Infusions, Intra-Arterial/methods* ; Antineoplastic Agents/therapeutic use* ; Drug Therapy, Combination/methods*

Lamin B1 (LMNB1) is highly expressed in liver cancer tissues, and its influence and mechanism on the proliferation of hepatocellular carcinoma cells were explored by knocking down the expression of the protein. In liver cancer cells, siRNAs were used to knock down LMNB1. Knockdown effects were detected by Western blotting. Changes in telomerase activity were detected by telomeric repeat amplification protocol assay (TRAP) experiments. Telomere length changes were detected by quantitative real-time polymerase chain reaction (qPCR). CCK8, cloning formation, transwell and wound healing were performed to detect changes in its growth, invasion and migration capabilities. The lentiviral system was used to construct HepG2 cells that steadily knocked down LMNB1. Then the changes of telomere length and telomerase activity were detected, and the cell aging status was detected by SA-β-gal senescence staining. The effects of tumorigenesis were detected by nude mouse subcutaneous tumorigenesis experiments, subsequent histification staining of tumors, SA-β-gal senescence staining, fluorescence in situ hybridization (FISH) for telomere analysis and other experiments. Finally, the method of biogenesis analysis was used to find the expression of LMNB1 in clinical liver cancer tissues, and its relationship with clinical stages and patient survival. Knockdown of LMNB1 in HepG2 and Hep3B cells significantly reduced telomerase activity, cell proliferation, migration and invasion abilities. Experiments in cells and tumor formation in nude mice had demonstrated that stable knockdown of LMNB1 reduced telomerase activity, shortened telomere length, senesced cells, reduced cell tumorigenicity and KI-67 expression. Bioinformatics analysis showed that LMNB1 was highly expressed in liver cancer tissues and correlated with tumor stage and patient survival. In conclusion, LMNB1 is overexpressed in liver cancer cells, and it is expected to become an indicator for evaluating the clinical prognosis of liver cancer patients and a target for precise treatment.
Animals ; Mice ; Telomerase/metabolism* ; Carcinoma, Hepatocellular/genetics* ; Liver Neoplasms/genetics* ; Telomere Shortening ; In Situ Hybridization, Fluorescence ; Mice, Nude ; Telomere/pathology* ; Carcinogenesis

Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology*

Objective: To investigate the therapeutic effect and mechanism of lenvatinib on regorafenib-resistant hepatocellular carcinoma cells. Methods: CCK-8 and clone formation assay were used to observe the inhibitory effect of lenvatinib on the growth of hepatocellular carcinoma cells. Flow cytometry was used to detect the apoptosis of regorafenib-resistant hepatocellular carcinoma cells treated with lenvatinib. The expression levels of related proteins were detected by western blot and immunohistochemical staining. The inhibitory effect of lenvatinib on the tumor formation ability of regorafenib-resistant hepatocellular carcinoma cells in vivo was observed by subcutaneous tumor formation experiment in mice. Results: CCK-8 and clone formation assay showed that lenvatinib could inhibit the proliferation of regorafenib-resistant hepatocellular carcinoma cells. The number of clones of HepG2, SMMC7721 and regorafenib-resistant HepG2, SMMC7721 cells in lenvatinib group (120.67±11.06, 53.00±11.14, 55.00±9.54, 78.67±14.64) were all lower than those in control group (478.00±24.52, 566.00±27.87, 333.67±7.02, 210.00±12.77, all P<0.05). Flow cytometry showed that lenvatinib could promote apoptosis of regorafenib-resistant hepatocellular carcinoma cells, the apoptosis rates of HepG2, SMMC7721 and regorafenib-resistant HepG2, SMMC7721 cells in lenvatinib group [(12.30±0.70)%, (9.83±0.38)%, (15.90±1.32)%, (10.60±0.00)%] were all higher than those in control group [(7.50±0.87)%, (5.00±1.21)%, (8.10±1.61)%, (7.05±0.78)%, all P<0.05]. The apoptosis-related protein levels suggested that apoptosis was increased in the treatment of lenvatinib. The animal study showed that lenvatinib can inhibit the growth of regorafenib-resistant cells in vivo. Immunohistochemistry and western blot results showed that lenvatinib could down-regulate the abnormally activated IGF1R/Mek/Erk signaling pathway in regorafenib-resistant cells. Conclusion: Lenvatinib can reverse regorafenib resistance in hepatocellular carcinoma, possibly by down-regulating IGF1R/Mek/Erk signaling pathway.
Animals ; Mice ; Apoptosis ; Carcinoma, Hepatocellular/pathology* ; Cell Line, Tumor ; Cell Proliferation ; Liver Neoplasms/pathology* ; Signal Transduction ; Humans

Objective: To investigate the clinical value of serum glypican-3 (GPC3) detection in predicting recurrence of primary hepatocellular carcinoma (HCC). Methods: Through univariate and multivariate logistic regression analysis, the patients pathologically diagnosed with HCC in our hospital from March 2019 to January 2021 were enrolled as the experimental group (n=113), and patients with follow-up time longer than 6 months were included in the prognosis group(n=64). At the same time,20 healthy individuals and 20 individuals with benign liver disease from the physical examination center were enrolled by simple random sampling as control group (n=40). The serum GPC3 and alpha-fetoprotein (AFP) levels were respectively detected by ELISA and chemiluminescence. Then, the study explored the influential factors of the recurrence in HCC patients and constructed the HCC-GPC3 recurrence predicting model by logistic regression. Results: In the research, the sensitivity of GPC3 for the diagnosis of HCC was 61.95% (70/113) and AFP was 52.21% (59/113), meanwhile, the specificity of GPC3 could reach 87.50% (35/40) and AFP was 90.00% (36/40),respectively; The serum GPC3 levels of HCC patients with progressive stage, tumor size≥3 cm, vascular cancer thrombosis and portal venous thromboembolism were significantly higher than that of HCC patients with early stage, tumor size<3 cm, vascular cancer thrombosis and portal venous thromboembolism (Z=2.677, 2.848, 2.995, 2.252, P<0.05), independent of different ages, presence or absence of ascites, peritoneal metastasis, cirrhosis, intrahepatic metastasis (Z=-1.535, 1.011, 0.963, 0.394, 1.510, P>0.05), respectively. Univariate analysis showed that there were no statistically significant differences between the recurrence group and the non-recurrence group in terms of different age, tumor size, presence or absence of vascular cancer thrombosis, ascites, peritoneal metastasis, cirrhosis and AFP levels (χ²=2.012, 0.119, 2.363, 1.041, 0.318, 0.360, Z=0.748, P>0.05); The ratio of those with the progressive stage, portal venous thromboembolism and intrahepatic metastasis and GPC3 levels were all higher in the recurrence group than in the non-recurrence group (χ²=4.338, 11.90, 4.338, Z=2.805, P<0.05).Including the above risk factors in the logistic regression model, the logistic regression analysis showed that the stage, the presence of portal venous thromboembolism,intrahepatic metastasis and GPC3 levels were correlated with the prognosis recurrence of HCC patients (Wald χ² =4.421, 5.681, 4.995, 4.319, P<0.05), and the HCC-GPC3 recurrence model was obtained as: OcScore=-2.858+1.563×[stage]+1.664×[intrahepatic metastasis]+2.942×[ portal venous thromboembolism]+0.776×[GPC3]. According to the receiver operating characteristic curve(ROC), the area under the curve(AUC)of the HCC-GPC3 prognostic model was 0.862, which was better than that of GPC3 alone (AUC=0.704). The cut-off value of model SCORE was 0.699 (the cut-off value of GPC3 was 0.257 mg/L), furthermore, the total sensitivity and specificity of model were 83.3% and 82.4%, which were better than those of GPC3(60.0% and 79.4%).Kaplan-Meier showed that the median PFS was significantly shorter in HCC patients with high GPC3 levels (≥0.257 mg/L) and high values of the model SCORE (≥0.700) (χ²=12.73, 28.16, P<0.05). Conclusion: Besides diagnosing of HCC, GPC3 can may be an independent risk indicator for the recurrence of HCC and can more efficiently predicting the recurrence of HCC patients when combined with the stage, the presence or absence of intrahepatic metastasis and portal venous thromboembolism.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/diagnosis* ; alpha-Fetoproteins/analysis* ; Biomarkers, Tumor ; Glypicans ; Ascites ; Venous Thromboembolism ; Peritoneal Neoplasms ; Liver Cirrhosis

To explore whether PPARA is involved in the process of ferroptosis in hepatoma cells, peroxisome proliferator activated receptor (PPARA) was comprehensively analyzed in hepatocellular carcinoma (HCC) through public database and experimental data, including the expression, the functions and the potential roles of tumor progression. The research design is experimental research,data analysis based on bioinformatics and cell experiment. From January 2022 to August 2022, relevant cell experiments were conducted in the Basic Medical Laboratory of the General Hospital of the Southern Theatre of the Chinese People's Liberation Army. The expression and the correlation with clinicopathologic features of PPARA in HCC were analyzed by The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. To study the protein expression of PPARA in HCC and normal tissues through the Human Protein Atlas (HPA). The protein-protein interaction (PPI) network between PPARA and the core factor of ferroptosis was constructed based on Search Tool for the Retrival of Interacting Genes/Protein (STRING) database, then, the correlation between PPARA and the core gene Glutamate-cysteine Ligase Catalytic Subunit (GCLC) was analyzed by Gene Expression Profiling Interactive Analysis (GEPIA). Assessed the expression of PPARA in HCC cell lines SK-HEP-1, SMMC-7721, MHCC-97H, BEL-7402 and normal liver cell L02 by Western Blot (WB) and the changes of PPARA expression after 48h treatment with ferroptosis inducer Erastin were observed. Single factor analysis of variance was used to compare the expression of PPARA between groups in GEPIA database. The expression of PPARA in GSE25097 and GSE112790 data was compared by rank sum test. Survival analysis was performed using time series test method. The difference of PPARA expression between clinical and pathological features was compared using the Kruskal-Wallis test. The correlation between the expression of GCLC and PPARA was compared by the method of Spearman correlation. The expression of PPARA in cell lines was compared by paired T test. The results showed that the RNA and protein expression of PPARA in HCC was lower than that in normal tissues (P<0.05). PPARA alterations were correlated with patient clinicopathological features and prognosis (P<0.05). The PPI constructed by STRING database suggests that PPARA interact with the key factors of ferroptosis, such as NFE2 like bZIP transcription factor 2 (NFE2L2), Heme Oxygenase 1 (HMOX1), Tumor Protein P53 (TP53), GCLC, Dipeptidyl Peptidase 4 (DPP4), Citrate Synthase (CS), Arachidonate 15-Lipoxygenase (ALOX15) and Acyl-CoA Synthetase Long Chain Family Member 4 (ACSL4). Furthermore, the PPARA was significantly associated with GCLC validated via GEPIA database(R=0.6, P<0.05). The expression of PPARA increased after treatment with ferroptosis inducer Erastin for 48 h by WB. In conclusion, the expression of PPARA is lower in HCC with a poor prognosis. PPARA interacts with GCLC in regulating ferroptosis in HCC.
Humans ; Carcinoma, Hepatocellular/pathology* ; Ferroptosis ; Liver Neoplasms/pathology* ; Peroxisome Proliferator-Activated Receptors/genetics*

Objective: To investigate the effect of 1-acyl-sn-glycerol-3-phosphate acyltransferaseδ (APGAT4) on the growth and lenvatinib resistance of hepatocellular carcinoma (HCC), and provide novel targets for HCC treatment. Methods: Using the bioinformatics methods to screen out upregulated genes in lenvatinib resistant cell lines from GEO dataset and survival related genes from TCGA dataset. Immumohistochemical staining was used to detect the expression AGPAT4 in HCC tissues, and its correlation with patients' survival. CCK8, EdU, cell cycle, and cell apoptosis assays were used to investigate the impact of role AGPAT4 on the proliferation and lenvatinib reistance of HCC cells. AGPAT4 stable knockdown cell line and subcutaneous nude mouse model were established to test the therapeutic effects of Lenvatinib. Analysis of variance was used to compare the differences between data sets. Results: APGAT4 was the common factor that predicted poor survival and Lenvatinib resistance. The mRNA and protein levels of APGAT4 were significantly upregulated in HCC tissues compared to the para-tumor tissues (P < 0.05). Using siRNA could significantly knocked down the mRNA and protein expression of APGAT4 in HCC cell lines Hep3B and HCCLM3. Compared with the control group, the proliferation ability of HCC cell lines (Hep3B and HCCLM3) in APGAT4 knockdown group was significantly inhibited, and the cell cycle was arrested in G2/M phase (P < 0.05). In addition, compared to the control group, HCC cell lines (Hep3B and HCCLM3) in APGAT4 knockdown group showed significant decrease in the Lenvatinib half maximal inhibitory concentration, and were more sensitive to lenvatinib-induced apoptosis (P < 0.05). In HCC subcutaneous nude mouse model, compared to the control group, the growth of tumor in APGAT4 knockdown group was significantly suppressed, and more apoptosis cells were induced (P < 0.05). Conclusion: APGAT4 promotes the growth and Lenvatinib resistance of HCC, which is a potential target for HCC treatment. Targeting APGAT4 treatment is conducive to inhibit the growth and Lenvatinib resistance of HCC.
Animals ; Mice ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Mice, Nude ; Cell Line, Tumor ; Cell Proliferation ; RNA, Messenger ; Gene Expression Regulation, Neoplastic

Objective: To study using isotope-labeled relative and absolute quantitative proteomics methodologies to screen for salivary biological markers as a simple, non-invasive tool for identifying hepatitis B-related HCC at an early stage. Methods: Saliva samples were collected to extract salivary proteins. Isotope-labeled relative and absolute quantitative proteomics were used to analyze the differentially expressed proteins between the hepatocellular carcinoma (HCC) and non-HCC groups. Western blotting, immunohistochemistry, and enzyme-linked immunosorbent assays were used to verify differential proteins and identify markers in liver cancer tissues and saliva. Statistical analysis was used to analyze the diagnostic efficiency of salivary biomarkers. Results: 152 differentially expressed salivary proteins were screened out between the HCC and non-HCC groups. Western blot, immunohistochemistry, and enzyme-linked immunosorbent assays validated that the expressions of α-1-acid glycoprotein 1 (ORM1) and alpha-fetoprotein (AFP) were significantly increased in HCC (P < 0.05). There was a significant correlation between salivary AFP and serum AFP (P < 0.05). HCC was diagnosed when salivary α-1-acid glycoprotein 1 combined with AFP. The area under the receiver operating characteristic curve was 0.8726 (95% confidence interval: 0.8104 ~ 0.9347), the sensitivity was 78.3%, and the specificity was 88%. Conclusion: Salivary AFP and α-1-acid glycoprotein 1 can serve as potential biomarkers for hepatitis B-related hepatocellular carcinoma.
Humans ; Carcinoma, Hepatocellular/metabolism* ; Liver Neoplasms/pathology* ; alpha-Fetoproteins/metabolism* ; Biomarkers ; Hepatitis B ; ROC Curve ; Glycoproteins ; Biomarkers, Tumor