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

This study explored the molecular mechanism of acteoside against hepatoma 22(H22) tumor in mice through c-Jun N-terminal kinase(JNK) signaling pathway. H22 cells were subcutaneously inoculated in 50 male BALB/c mice, and then the model mice were classified into model group, low-dose, medium-dose, and high-dose acteoside groups, and cisplatin group. The administration lasted 2 weeks for each group(5 consecutive days/week). The general conditions of mice in each group, such as mental status, diet intake, water intake, activity, and fur were observed. The body weight, tumor volume, tumor weight, and tumor-inhibiting rate were compared before and after administration. Morphological changes of liver cancer tissues were observed based on hematoxylin and eosin(HE) staining, and the expression of phosphorylated(p)-JNK, JNK, B-cell lymphoma-2(Bcl-2), Beclin-1, and light chain 3(LC3) in each tissue was detected by immunohistochemistry and Western blot. qRT-PCR was performed to detect the mRNA expression of JNK, Bcl-2, Beclin-1, and LC3. The general conditions of mice in model and low-dose acteoside groups were poor, while the general conditions of mice in the remaining three groups were improved. The body weight of mice in medium-dose acteoside group, high-dose acteoside group, and cisplatin group was smaller than that in model group(P<0.01). The tumor volume in model group was insignificantly different from that in low-dose acteoside group, and the volume in cisplatin group showed no significant difference from that in high-dose acteoside group. Tumor volume and weight in medium-dose and high-dose acteoside groups and cisplatin group were lower than those in the model group(P<0.001). The tumor-inhibiting rates were 10.72%, 40.32%, 53.79%, and 56.44% in the low-dose, medium-dose, and high-dose acteoside groups and cisplatin group, respectively. HE staining showed gradual decrease in the count of hepatoma cells and increasing sign of cell necrosis in the acteoside and cisplatin groups, and the necrosis was particularly obvious in the high-dose acteoside group and cisplatin group. Immunohistochemical results suggested that the expression of Beclin-1, LC3, p-JNK, and JNK was up-regulated in acteoside and cisplatin groups(P<0.05). The results of immunohistochemistry, Western blot, and qRT-PCR indicated that the expression of Bcl-2 was down-regulated in the medium-dose and high-dose acteoside groups and cisplatin group(P<0.01). Western blot showed that the expression of Beclin-1, LC3, and p-JNK was up-regulated in acteoside and cisplatin groups(P<0.01), and there was no difference in the expression of JNK among groups. qRT-PCR results showed that the levels of Beclin-1 and LC3 mRNA were up-regulated in the acteoside and cisplatin groups(P<0.05), and the level of JNK mRNA was up-regulated in medium-dose and high-dose acteoside groups and cisplatin group(P<0.001). Acteoside promotes apoptosis and autophagy of H22 cells in mice hepatoma cells by up-regulating the JNK signaling pathway, thus inhibiting tumor growth.
Male ; Animals ; Mice ; Cisplatin/pharmacology* ; Carcinoma, Hepatocellular/genetics* ; MAP Kinase Signaling System ; Beclin-1 ; Apoptosis ; Liver Neoplasms/genetics* ; Necrosis ; Proto-Oncogene Proteins c-bcl-2/metabolism* ; Cell Line, Tumor ; RNA, Messenger/metabolism* ; Autophagy

Objective: To investigate the association of circulating sPD-1 level and PD-1 gene polymorphisms with HBV infection and HBV infection-associated hepatocellular carcinoma. Methods: A case-control study was conducted. A total of 237 chronic HBV infection cases and 138 HBV infection-associated hepatocellular carcinoma in the Department of Infectious Diseases of the First Hospital of Shanxi Medical University from 2018 to 2021 were selected as the case group. About 250 individuals who visited a hospital physical examination center for routine physical examination during the same period were selected as the control group. Plasma sPD-1 levels were measured by using an ELISA kit and genotyping was performed by using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique. The association of sPD-1 levels and PD-1 polymorphisms with HBV infection as well as HBV infection-associated hepatocellular carcinoma was analyzed by using logistic regression models after adjusting for age, sex, alcohol consumption, smoking, ALT and AST levels. The sPD-1 level and PD-1 polymorphisms were independent variables, and HBV infection was the dependent variable. Results: The age of 237 chronic HBV infections, 138 HBV infection-related liver cancer case subjects and 250 control subjects in the study was (49.1±10.8), (51.9±12.7) and (50.7±11.9) years, respectively. Multivariate logistic regression model analysis showed that with a 1 pg/ml increase in sPD-1 level, the OR (95%CI) values for the risk of incident HBV infection cases and HBV hepatocellular carcinoma cases were 1.92 (1.68-2.19) and 2.02 (1.69-2.40). For rs2227981, compared with the CC genotype, the TT genotype had a lower risk of HBV infection and liver cancer associated with HBV infection, with OR (95%CI) values of 0.45 (0.22-0.91) and 0.35 (0.14-0.91). For rs2227982, compared with the CC genotype, the CT and TT genotypes also had a lower risk of HBV infection [OR (95%CI) values of 0.72 (0.53-0.97) and 0.57 (0.35-0.93)] and HBV infection-related liver cancer [OR (95%CI) values of 0.64 (0.45-0.92) and 0.52 (0.29-0.93)]. Conclusions: Plasma sPD-1 levels and PD-1 gene polymorphisms are associated with HBV infection and HBV infection-associated hepatocellular carcinoma.
Humans ; Carcinoma, Hepatocellular/genetics* ; Case-Control Studies ; Genetic Predisposition to Disease ; Genotype ; Hepatitis B virus/genetics* ; Liver Neoplasms/genetics* ; Polymorphism, Genetic ; Polymorphism, Single Nucleotide ; Programmed Cell Death 1 Receptor/genetics* ; Adult ; Middle Aged

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 study the construction of a prognostic model for hepatocellular carcinoma (HCC) based on pyroptosis-related genes (PRGs). Methods: HCC patient datasets were obtained from the Cancer Genome Atlas (TCGA) database, and a prognostic model was constructed by applying univariate Cox and least absolute shrinkages and selection operator (LASSO) regression analysis. According to the median risk score, HCC patients in the TCGA dataset were divided into high-risk and low-risk groups. Kaplan-Meier survival analysis, receiver operating characteristic (ROC) curves, univariate and multivariate Cox analysis, and nomograms were used to evaluate the predictive ability of the prognostic models. Functional enrichment analysis and immune infiltration analysis were performed on differentially expressed genes between the two groups. Finally, two HCC datasets (GSE76427 and GSE54236) from the Gene Expression Omnibus database were used to externally validate the prognostic value of the model. Univariate and multivariate Cox regression analysis or Wilcoxon tests were performed on the data. Results: A total of 366 HCC patients were included after screening the HCC patient dataset obtained from the TCGA database. A prognostic model related to HCC was established using univariate Cox regression analysis, LASSO regression analysis, and seven genes (CASP8, GPX4, GSDME, NLRC4, NLRP6, NOD2, and SCAF11). 366 cases were evenly divided into high-risk and low-risk groups based on the median risk score. Kaplan-Meier survival analysis showed that there were statistically significant differences in the survival time between patients in the high-risk and low-risk groups in the TCGA, GSE76427, and GSE54236 datasets (median overall survival time was 1 149 d vs. 2 131 d, 4.8 years vs. 6.3 years, and 20 months vs. 28 months, with P = 0.000 8, 0.034 0, and 0.0018, respectively). ROC curves showed good survival predictive value in both the TCGA dataset and two externally validated datasets. The areas under the ROC curves of 1, 2, and 3 years were 0.719, 0.65, and 0.657, respectively. Multivariate Cox regression analysis showed that the risk score of the prognostic model was an independent predictor of overall survival time in HCC patients. The risk model score accurately predicted the survival probability of HCC patients according to the established nomogram. Functional enrichment analysis and immune infiltration analysis showed that the immune status of the high-risk group was significantly decreased. Conclusion: The prognostic model constructed in this study based on seven PRGs accurately predicts the prognosis of HCC patients.
Humans ; Carcinoma, Hepatocellular/genetics* ; Prognosis ; Pyroptosis ; Liver Neoplasms/genetics* ; Risk Factors

Objective: To explore carnosine dipeptidase 1 (CNDP1) potential value as a diagnostic and prognostic evaluator of hepatocellular carcinoma (HCC). Methods: A gene chip and GO analysis were used to screen the candidate marker molecule CNDP1 for HCC diagnosis. 125 cases of HCC cancer tissues, 85 cases of paracancerous tissues, 125 cases of liver cirrhosis tissues, 32 cases of relatively normal liver tissue at the extreme end of hepatic hemangioma, 66 cases from serum samples of HCC, and 82 cases of non-HCC were collected. Real-time fluorescent quantitative PCR, immunohistochemistry, western blot, and enzyme-linked immunosorbent assay were used to detect the differences in mRNA and protein expression levels of CNDP1 in HCC tissue and serum. Receiver operating characteristic (ROC) curves and Kaplan-Meier survival were used to analyze and evaluate the value of CNDP1 in the diagnosis and prognosis of HCC patients. Results: The expression level of CNDP1 was significantly reduced in HCC cancer tissues. The levels of CNDP1 were significantly lower in the cancer tissues and serum of HCC patients than those in liver cirrhosis patients and normal controls. ROC curve analysis showed that the area under the curve of serum CNDP1 in the diagnosis of HCC patients was 0.753 2 (95% CI 0.676-0.830 5), and the sensitivity and specificity were 78.79% and 62.5%, respectively. The combined detection of serum CNDP1 and serum alpha-fetoprotein (AFP) significantly improved the diagnostic accuracy (AUC = 0.820 6, 95% CI 0.753 5-0.887 8). The diagnostic sensitivity and specificity of serum CNDP1 for AFP-negative HCC patients were 73.68% and 68.75% (AUC = 0.793 1, 95% CI 0.708 8-0.877 4), respectively. In addition, the level of serum CNDP1 distinguished small liver cancer (tumor diameter < 3 cm) (AUC = 0.757 1, 95% CI 0.637 4-0.876 8). Kaplan-Meier survival analysis showed that CNDP1 was associated with a poor prognosis in HCC patients. Conclusion: CNDP1 may be a potential biomarker for the diagnostic and prognostic evaluation of HCC, and it has certain complementarity with serum AFP.
Humans ; Carcinoma, Hepatocellular/genetics* ; Liver Neoplasms/pathology* ; Prognosis ; Carnosine ; alpha-Fetoproteins/metabolism* ; Biomarkers, Tumor/genetics* ; Liver Cirrhosis/diagnosis* ; ROC Curve

OBJECTIVE: To investigate the effect of titanium dioxide nanoparticles (TiO₂ NPs) on the expression profile of circular ribonucleic acid (circRNA) in human hepatocytes through in vitro cell experiments, and to attempt to understand the potential mechanism of hepatotoxicity through bioinformatics analysis. METHODS: TiO₂ NPs were characterized from the aspects of particle size, shape and agglomeration state. The cell counting kit-8 (CCK8) was used to detect the cytotoxicity of TiO₂ NPs against human hepatocellular carcinoma cells (HepG2) after exposure to 0, 1.56, 3.13, 6.25, 12.5, 25, 50, 100, and 200 mg/L TiO₂ NPs for 24 h or 48 h. The cells were treated at doses of 0 mg/L TiO₂ NPs (control group) and 100 mg/L TiO₂ NPs (treatment group), and collected after exposure for 48 h, and then RNA from the extracted cell samples was collected and sequenced. The differential circRNAs between the control and the TiO₂ NPs treatment groups were screened, and then the enrichment pathway of the differential circRNA target gene was analyzed by multivariate statistics. According to the sequencing results, significantly altered genes and important genes in the significant enrichment pathways were screened, and real-time reverse transcription-polymerase chain reaction (real-time RT-PCR) was performed to verify the results. RESULTS: TiO₂ NPs were spherical anatase with a hydrated particle size of (323.50±85.44) nm and a Zeta potential of (-21.00±0.72) mV in a serum-free medium. The results of the CCK8 cytotoxicity assay showed that with the increase of TiO₂ NPs concentration, cell viability gradually decreased. A total of 11 478 circRNAs were found by RNA sequencing. Compared with the control groups, TiO₂ NPs treatment groups (100 mg/L) had a total of 89 differential circRNAs, of which 59 were up-regulated and 30 were down-regulated. Analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway showed that the targeted genes of differential circRNAs were mainly enriched in fatty acid degradation, Fanconi anemia pathway, and fatty acid metabolism. The expression levels of circRNA.6730, circRNA.3650 and circRNA.4321 were significantly different between the TiO₂ NPs treatment group and the control group, which were consistent with the sequencing results. CONCLUSION TiO₂ NPs can induce changes in circRNA expression profile, and epigenetics may play an important role in the mechanism of hepatotoxicity.
Humans ; RNA/genetics* ; RNA, Circular/genetics* ; Carcinoma, Hepatocellular/genetics* ; Liver Neoplasms/genetics* ; Titanium ; Nanoparticles ; Chemical and Drug Induced Liver Injury ; Fatty Acids

OBJECTIVE: To explore the driving gene of hepatocellular carcinoma (HCC) occurrence and progression and its potential as new therapeutic target of HCC. METHODS: The transcriptome and genomic data of 858 HCC tissues and 493 adjacent tissues were obtained from TCGA, GEO, and ICGC databases. Gene Set Enrichment Analysis (GSEA) identified EHHADH (encoding enoyl-CoA hydratase/L-3-hydroxyacyl-CoA dehydrogenase) as the hub gene in the significantly enriched differential pathways in HCC. The downregulation of EHHADH expression at the transcriptome level was found to correlate with TP53 mutation based on analysis of the TCGA- HCC dataset, and the mechanism by which TP53 mutation caused EHHADH downregulation was explored through correlation analysis. Analysis of the data from the Metascape database suggested that EHHADH was strongly correlated with the ferroptosis signaling pathway in HCC progression, and to verify this result, immunohistochemical staining was used to examine EHHADH expression in 30 HCC tissues and paired adjacent tissues. RESULTS: All the 3 HCC datasets showed signficnatly lowered EHHADH expression in HCC tissues as compared with the adjacent tissues (P < 0.05) with a close correlation with the degree of hepatocyte de-differentiation (P < 0.01). The somatic landscape of HCC cohort in TCGA dataset showed that HCC patients had the highest genomic TP53 mutation rate. The transcriptomic level of PPARGC1A, the upstream gene of EHHADH, was significantly downregulated in HCC patients with TP53 mutation as compared with those without the mutation (P < 0.05), and was significantly correlated with EHHADH expression level. GO and KEGG enrichment analyses showed that EHHADH expression was significantly correlated with abnormal fatty acid metabolism in HCC. The immunohistochemical results showd that the expression level of EHHADH in HCC tissues was down-regulated, and its expression level was related to the degree of hepatocytes de-differentiation and the process of ferroptosis. CONCLUSION TP53 mutations may induce abnormal expression of PPARGC1A to cause downregulation of EHHADH expression in HCC. The low expression of EHHADH is closely associated with aggravation of de-differentiation and ferroptosis escape in HCC tissues, suggesting the potential of EHHADH as a therapeutic target for HCC.
Humans ; Carcinoma, Hepatocellular/genetics* ; Transcriptome ; Liver Neoplasms/genetics* ; Gene Expression Profiling ; Fatty Acids ; Peroxisomal Bifunctional Enzyme

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*

OBJECTIVE: To evaluate the effects of CLEC5A expression level on cell proliferation, migration and invasion and epithelial-mesenchymal transition (EMT) in hepatocellular carcinoma (HCC) and explore the role of CLEC5A in the tumorigenesis and progression of HCC. METHODS: The expression level of CLEC5A was detected in 50 pairs of HCC and adjacent tissues using immunohistochemical staining, and its association with clinicopathological parameters of HCC patients was analyzed. Cultured HCC cell line SK-HEP-1 was transfected with a lentiviral vector overexpressing CLEC5A, and the transfection efficiency was verified using real-time fluorescence quantitative PCR and Western blotting. The changes in proliferation, migration and invasion abilities of the transfected cells were analyzed using CCK-8, 5-ethynyl-29-deoxyuridine (EdU) and Transwell assays, and EMT of the cells was determined using Western blotting. RESULTS: The protein expression level of CLEC5A was significantly lower in HCC tissues than in the adjacent tissues (P < 0.001). The expression level of CLEC5A was significantly correlated with tumor size (P=0.008), tumor number (P=0.010), histological differentiation (P=0.016), microvascular invasion (P=0.024) and BCLC stage (P=0.040). In SK-HEP-1 cells, overexpression of CLEC5A obviously inhibited the cell proliferation, migration and invasion and reversed EMT phenotype of the cells. CONCLUSION CLEC5A is a potential HCC suppressor gene and may serve as a promising therapeutic target for HCC.
Humans ; Carcinoma, Hepatocellular/genetics* ; Epithelial-Mesenchymal Transition ; Liver Neoplasms/genetics* ; Cell Proliferation ; Cell Differentiation ; Receptors, Cell Surface/genetics* ; Lectins, C-Type/genetics*