Clinical Characteristics Of Hepatocellular Carcinoma Patients Research Articles

Epidemiology, therapy and outcome of hepatocellular carcinoma between 2010 and 2019 in Piedmont, Italy.

Hepatocellular carcinoma (HCC) is the most common primary liver malignancy and the second leading cause of cancer deaths worldwide. It is often diagnosed at an advanced stage and therefore its prognosis remains poor with a low 5-year survival rate. HCC patients have increasingly complex and constantly changing characteristics, thus up-to-date and comprehensive data are fundamental. To analyze the epidemiology and main clinical characteristics of HCC patients in a referral center hospital in the northwest of Italy between 2010 and 2019. In this retrospective study, we analyzed the clinical data of all consecutive patients with a new diagnosis of HCC recorded at "Santa Croce e Carle" Hospital in Cuneo (Italy) between 1 January 2010 and 31 December 2019. To highlight possible changes in HCC patterns over the 10-year period, we split the population into two 5-year groups, according to the diagnosis period (2010-2014 and 2015-2019). Of the 328 HCC patients who were included (M/F 255/73; mean age 68.9 ± 11.3 years), 154 in the first period, and 174 in the second. Hepatitis C virus infection was the most common HCC risk factor (41%, 135 patients). The alcoholic etiology rate was 18%, the hepatitis B virus infection etiology was 5%, and the non-viral/non-alcoholic etiology rate was 22%. The Child-Pugh score distribution of the patients was: class A 75%, class B 21% and class C 4%. The average Mayo end-stage liver disease score was 10.6 ± 3.7. A total of 55 patients (17%) were affected by portal vein thrombosis and 158 (48%) by portal hypertension. The average nodule size of the HCC was 4.6 ± 3.1 cm. A total of 204 patients (63%) had more than one nodule < 3, and 92% (305 patients) had a non-metastatic stage of the disease. The Barcelona Clinic Liver Cancer (BCLC) staging distribution of all patients was: 4% very early, 32% early, 23% intermediate, 34% advanced, and 7% terminal. Average survival rate was 1.6 ± 0.3 years. Only 20% of the patients underwent treatment. Age, presence of ascites, BCLC stage and therapy were predictors of a better prognosis (P < 0.01). A comparison of the two 5-year groups revealed a statistically significant difference only in global etiology (P < 0.05) and alpha-fetoprotein (AFP) levels (P < 0.01). In this study analyzing patients with a new diagnosis of HCC between 2010-2019, hepatitis C virus infection was the most common etiology. Most patients presented with an advanced stage disease and a poor prognosis. When comparing the two 5-year groups, we observed a statistically significant difference only in global etiology (P < 0.05) and AFP levels (P < 0.01).

GINS1 promotes ZEB1-mediated epithelial-mesenchymal transition and tumor metastasis via β-catenin signaling in hepatocellular carcinoma.

GINS1 regulates DNA replication in the initiation and elongation phases and plays an important role in the progression of various malignant tumors. However, the role of GINS1 in hepatocellular carcinoma (HCC) remains largely unclear. In this study, we investigated the role and underlying mechanisms of GINS1 in contributing to HCC metastasis. We found that GINS1 was significantly upregulated in HCC tissues and cell lines, especially in HCC tissues with vascular invasion and HCC cell lines with highly metastatic properties. Additionally, high expression of GINS1 was positively correlated with the progressive clinical features of HCC patients, including tumor number (multiple), tumor size (>5 cm), advanced tumor stage, vascular invasion and early recurrence, suggesting that GINS1 upregulation was greatly involved in HCC metastasis. Moreover, Kaplan-Meier survival analysis revealed that high GINS1 expression predicted a poor prognosis. Both in vitro and in vivo, silencing of GINS1 inhibited proliferation, migration, invasion and metastasis, while overexpression of GINS1 induced opposite effects. Mechanistically, we found that ZEB1 was a crucial regulator of GINS1-induced epithelial-mesenchymal transition (EMT), and GINS1 promoted EMT and tumor metastasis through β-catenin signaling. Overall, the present study demonstrated that GINS1 promoted ZEB1-mediated EMT and tumor metastasis via β-catenin signaling in HCC.

PANoptosis-related molecule CASP2 affects the immune microenvironment and immunotherapy response of hepatocellular carcinoma

BackgroundThe involvement of molecules associated with PANoptosis in hepatocellular carcinoma (HCC) is still not well understood. MethodsVarious R packages were utilized to analyze within the R software. Data that was freely accessible was obtained from the databases of The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC). ResultsHere, we comprehensively explored the role of PANoptosis-related genes in HCC. The caspase 2 (CASP2) was identified as the interest gene for further analysis. We found that CASP2 is related to the poor prognosis and worse clinical features of HCC patients. Moreover, we explored the biological pathway CASP2 is involved in and found that CASP2 is associated with multiple carcinogenic pathways. Also, we noticed that CASP2 can significantly reshape the HCC immune microenvironment and affect the response rate of immunotherapy. Analysis of drug sensitivity suggested that individuals exhibiting elevated CASP2 levels may display increased susceptibility to doxorubicin and vorinostat while demonstrating resistance towards erlotinib, lapatinib, sunitinib, and temsirolimus. Meanwhile, we explored the single-cell distribution of CASP2 in the HCC microenvironment. To enhance the clinical application of CASP2 in HCC, we constructed a prognosis model using the molecules derived from CASP2, which demonstrated good efficiency in predicting patients prognosis. Moreover, in vitro experiments indicated that CASP2 can significantly inhibits cell proliferation, invasion and migration ability of HCC cells. ConclusionsOur study comprehensively explored the role of PANoptosis-related molecule CASP2 in HCC, which can provide directions for future studies.

Unveiling efferocytosis-related signatures through the integration of single-cell analysis and machine learning: a predictive framework for prognosis and immunotherapy response in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) represents a prominent gastrointestinal malignancy with a grim clinical outlook. In this regard, the discovery of novel early biomarkers holds substantial promise for ameliorating HCC-associated mortality. Efferocytosis, a vital immunological process, assumes a central position in the elimination of apoptotic cells. However, comprehensive investigations exploring the role of efferocytosis-related genes (EFRGs) in HCC are sparse, and their regulatory influence on HCC immunotherapy and targeted drug interventions remain poorly understood. RNA sequencing data and clinical characteristics of HCC patients were acquired from the TCGA database. To identify prognostically significant genes in HCC, we performed the limma package and conducted univariate Cox regression analysis. Subsequently, machine learning algorithms were employed to identify hub genes. To assess the immunological landscape of different HCC subtypes, we employed the CIBERSORT algorithm. Furthermore, single-cell RNA sequencing (scRNA-seq) was utilized to investigate the expression levels of ERFGs in immune cells and to explore intercellular communication within HCC tissues. The migratory capacity of HCC cells was evaluated using CCK-8 assays, while drug sensitivity prediction reliability was determined through wound-healing assays. We have successfully identified a set of nine genes, termed EFRGs, that hold significant potential for the establishment of a hepatocellular carcinoma-specific prognostic model. Furthermore, leveraging the individual risk scores derived from this model, we were able to stratify patients into two distinct risk groups, unveiling notable disparities in terms of immune infiltration patterns and response to immunotherapy. Notably, the model's capacity to accurately predict drug responses was substantiated through comprehensive experimental investigations, encompassing wound-healing assay, and CCK8 experiments conducted on the HepG2 and Huh7 cell lines. We constructed an EFRGs model that serves as valuable tools for prognostic assessment and decision-making support in the context of immunotherapy and chemotherapy.

CENPA-driven STMN1 Transcription Inhibits Ferroptosis in Hepatocellular Carcinoma.

The growing knowledge of ferroptosis has suggested the regulatory role of ferroptosis in hepatocellular carcinoma (HCC), but the pertinent molecular mechanisms remain unclear. Herein, this study investigated the mechanistic basis of ferroptosis-related genes (ferrGenes) in the growth of HCC. Differentially expressed human ferrGenes and tumor-related transcription factors (TFs) were obtained from the The Cancer Genome Atlas (TCGA) dataset and the GTEx dataset. Spearman method-based correlation analysis were conducted to construct TF-ferrGene coexpression regulatory network. Key genes associated with prognosis were singled out with Lasso regression and multivariate Cox analysis to construct the prognostic risk model. Then the accuracy and independent prognostic ability of the model were evaluated. Expression of CENPA and STMN1 was determined in clinical HCC tissues and HCC cells, and their binding was analyzed with dual-luciferase and chromatin immunoprecipitation (ChIP) assays. Furthermore, ectopic expression and knockdown assays were performed in HCC cells to assess the effect of CENPA and STMN1 on ferroptosis and malignant phenotypes. The prognostic risk model constructed based on the eight TF-ferrGene regulatory network-related genes accurately predicted the prognosis of HCC patients. It was strongly related to the clinical characteristics of HCC patients. Moreover, CENPA/STMN1 might be a key TF-ferrGene regulatory network in ferroptosis of HCC. CENPA and STMN1 were overexpressed in HCC tissues and cells. Additionally, CENPA facilitated STMN1 transcription by binding to STMN1 promoter, thus facilitating the malignant phenotypes and suppressing the ferroptosis of HCC cells. Taken together, CENPA curbs the ferroptosis of HCC cells by upregulating STMN1 transcription, thereby promoting HCC growth.

An anoikis-based signature for predicting prognosis in hepatocellular carcinoma with machine learning.

Background: Hepatocellular carcinoma (HCC) is a common malignancy with high mortality worldwide. Despite advancements in diagnosis and treatment in recent years, there is still an urgent unmet need to explore the underlying mechanisms and novel prognostic markers. Anoikis has received considerable attention because of its involvement in the progression of human malignancies. However, the potential mechanism of anoikis-related genes (ANRGs) involvement in HCC progression remains unclear. Methods: We use comprehensive bioinformatics analyses to determine the expression profile of ANRGs and their prognostic implications in HCC. Next, a risk score model was established by least absolute shrinkage and selection operator (Lasso) Cox regression analysis. Then, the prognostic value of the risk score in HCC and its correlation with clinical characteristics of HCC patients were further explored. Additionally, machine learning was utilized to identify the outstanding ANRGs to the risk score. Finally, the protein expression of DAP3 was examined on a tissue microarray (TMA), and the potential mechanisms of DAP3 in HCC was explored. Results: ANRGs were dysregulated in HCC, with a low frequency of somatic mutations and associated with prognosis of HCC patients. Then, nine ANRGs were selected to construct a risk score signature based on the LASSO model. The signature presented a strong ability of risk stratification and prediction for overall survival in HCC patients.Additionally, high risk scores were closely correlated with unfavorable clinical features such as advanced pathological stage, poor histological differentiation and vascular invasion. Moreover, The XGBoost algorithm verified that DAP3 was an important risk score contributor. Further immunohistochemistry determined the elevated expression of DAP3 in HCC tissues compared with nontumor tissues. Finally, functional analyses showed that DAP3 may promote HCC progression through multiple cancer-related pathways and suppress immune infiltration. Conclusion: In conclusion, the anoikis-based signature can be utilized as a novel prognostic biomarker for HCC, and DAP3 may play an important role in the development and progression of HCC.

DLGAP4 acts as an effective prognostic predictor for hepatocellular carcinoma and is closely related to tumour progression

Disc large associated protein 4 (DLGAP4) plays an important role in neurological diseases, but the role and mechanism of DLGAP4 in hepatocellular carcinoma (HCC) remain unclear. In this study, the prognostic effect of DLGAP4 on HCC patients was investigated by means of bioinformatics. The correlation of DLGAP4 expression with the prognosis of HCC patients was evaluated by TCGA data analysis, and the correlation between DLGAP4 expression and the clinical characteristics of HCC patients was evaluated by the Wilcoxon signed rank test and logistic regression analysis. Kaplan‒Meier and Cox regression methods were used to assess the effect of DLGAP4 expression level on overall survival, and nomograms were used to illustrate the correlation between DLGAP4 gene expression and HCC risk. The genes related to DLGAP4 in HCC were screened, and GO/KEGG enrichment analysis was performed. Furthermore, in vitro and in vivo experiments were conducted to detect the effect of DLGAP4 expression on the proliferation, migration and metastasis of HCC cells. We also examined the effect of DLGAP4 expression on enriched pathway proteins to explore the possible mechanism. The expression levels of DLGAP4 were significantly higher in HCC cell lines and tissue samples than in normal liver cell lines and tissues. The expression of DLGAP4 was significantly associated with clinical characteristics. Survival analysis showed that high expression of DLGAP4 was associated with a poor prognosis in HCC. Multivariate analysis showed that high expression of DLGAP4 was an independent risk factor affecting the overall survival rate in HCC patients. By means of ROC curve analysis and nomograms, we determined the value of DLGAP4 expression in the diagnosis and prognosis evaluation of HCC. GO/KEGG enrichment analysis showed that the PPAR signalling pathway was differentially enriched in patients with high expression of DLGAP4. According to in vitro and in vivo experiments, DLGAP4 knockdown inhibited the proliferation and metastasis of HCC cells and decreased the expression of PPARβ/δ protein. In contrast, overexpression of DLGAP4 promoted the proliferation and metastasis of HCC cell, and increased the expression of PPARβ/δ protein.In contrast, overexpression of DLGAP4 promoted the proliferation and metastasis of HCC cells and increased the expression of PPARβ/δ protein. The results show a close correlation between DLGAP4 expression and clinicopathological features of HCC, and DLGAP4 can be used as a prediction biomarker of HCC.

Identification and Analysis of Immune-Related Gene Signature in Hepatocellular Carcinoma.

Background: Hepatocellular carcinoma (HCC) originates from the hepatocytes and accounts for 90% of liver cancer. The study intends to identify novel prognostic biomarkers for predicting the prognosis of HCC patients based on TCGA and GSE14520 cohorts. Methods: Differential analysis was employed to obtain the DEGs (Differentially Expressed Genes) of the TCGA-LIHC-TPM cohort. The lasso regression analysis was applied to build the prognosis model through using the TCGA cohort as the training group and the GSE14520 cohort as the testing group. Next, based on the prognosis model, we performed the following analyses: the survival analysis, the independent prognosis analysis, the clinical feature analysis, the mutation analysis, the immune cell infiltration analysis, the tumor microenvironment analysis, and the drug sensitivity analysis. Finally, the survival time of HCC patients was predicted by constructing nomograms. Results: Through the lasso regression analysis, we obtained a prognosis model of ten genes including BIRC5 (baculoviral IAP repeat containing 5), CDK4 (cyclin-dependent kinase 4), DCK (deoxycytidine kinase), HSPA4 (heat shock protein family A member 4), HSP90AA1 (heat shock protein 90 α family class A member 1), PSMD2 (Proteasome 26S Subunit Ubiquitin Receptor, Non-ATPase 2), IL1RN (interleukin 1 receptor antagonist), PGF (placental growth factor), SPP1 (secreted phosphoprotein 1), and STC2 (stanniocalcin 2). First, we found that the risk score is an independent prognosis factor and is related to the clinical features of HCC patients, covering AFP (α-fetoprotein) and stage. Second, we observed that the p53 mutation was the most obvious mutation between the high-risk and low-risk groups. Third, we also discovered that the risk score is related to some immune cells, covering B cells, T cells, dendritic, macrophages, neutrophils, etc. Fourth, the high-risk group possesses a lower TIDE score, a higher expression of immune checkpoints, and higher ESTIMATE score. Finally, nomograms include the clinical features and risk signatures, displaying the clinical utility of the signature in the survival prediction of HCC patients. Conclusions: Through the comprehensive analysis, we constructed an immune-related prognosis model to predict the survival of HCC patients. In addition to predicting the survival time of HCC patients, this model significantly correlates with the tumor microenvironment. Furthermore, we concluded that these ten immune-related genes (BIRC5, CDK4, DCK, HSPA4, HSP90AA1, PSMD2, IL1RN, PGF, SPP1, and STC2) serve as novel targets for antitumor immunity. Therefore, this study plays a significant role in exploring the clinical application of immune-related genes.

Study on the Prognostic Values of TTC36 Correlated with Immune Infiltrates and Its Methylation in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) remains an incurable disease with a very poor clinical outcome. The purpose of this article was to investigate whether the expression or methylation of tetrapeptide repeat domain 36 (TTC36) could be used as a prognostic marker in hepatocellular carcinoma. TCGA database was used to obtain information on HCC gene expression and the associated clinical features of HCC patients. Differentially expressed genes (DEGs) were screened between 374 HCC specimens and 50 nontumor specimens. The expression and prognostic value of TTC36 were analyzed. The correlations between TTC36 and cancer immune infiltrates were investigated via TIMER. In this study, HCC specimens and nontumor specimens were compared and 35 DEGs were found between them. Among the 35 DEGs, the expression of TTC36 was significantly reduced in HCC samples compared with nontumor samples. Survival tests revealed that patients with low TTC36 expression had a shorter overall survival than patients with high TTC36 expression. TTC36 was found to be an independent predictive factor for HCC in both univariate and multivariate regression analyses. TTC36 was negatively regulated by TTC36 methylation, leading to its low expression in HCC tissues. Immune analysis revealed that TTC36 expression has significant correlations with B cell, T cell CD4+, neutrophil, macrophage, and myeloid dendritic cell. Finally, TTC36 expression was dramatically reduced in HCC cells, and overexpression greatly suppressed HCC cell proliferation and invasion, according to our experimental results. Overall, our data suggested that TTC36 could be applied as a prognostic marker for predicting outcome and immune infiltration in HCC.

Clinical characteristics and survival analysis of patients with hepatocellular carcinoma after hepatitis B virus turning negative.

Hepatitis B virus (HBV) infection is one of the most common infections, affecting 248 million people worldwide. Hepatitis B virus can progress to cirrhosis, liver failure and hepatocellular carcinoma (HCC). To analyze the clinical characteristics and survival time of HCC occurrence in patients with HBV infection after virus turning negative. The Kaplan-Meier and log rank survival analysis were performed to compare the overall survival (OS) of the patients with HCC in different groups. The 1-, 3- and 5-year OS rates of the 104 investigated patients were 76.4%, 54.4% and 20.5%, respectively. The median survival time was 37 months. The median survival time of HBV-DNA-negative group was longer than that of the HBV-DNA-positive group (negative compared to positive: 42 compared to 36, p = 0.003). The 5-year OS rate of patients receiving antiviral therapy before HCC diagnosis in the HBV-DNA-negative group was higher than that in the HBV-DNA-positive group (negative compared to positive: 53.0% compared to 0%, p = 0.022). There was no significant difference in the 5-year OS rate in patients who did not receive antiviral therapy before HCC diagnosis between HBV-DNA-negative and HBV-DNA-positive groups (p = 0.195). Among HBV-infected patients, a significant proportion of virus-negative patients develop liver cancer and require long-term continuous monitoring. A long-term effective antiviral therapy can improve the survival rate of patients with liver cancer. This study revealed important clinical characteristics of HCC patients and provided useful information for their clinical management and monitoring.

Hepatic stellate cell activation and senescence induced by intrahepatic microbiota disturbances drive progression of liver cirrhosis toward hepatocellular carcinoma.

BackgroundThe significance of the relationship between the microbiota and diseases is increasingly being recognized. However, the characterization of tumor microbiome and their precise molecular mechanisms through which microbiota promotes hepatocellular carcinoma (HCC) development are still unclear.MethodsThe intrahepatic microbiota was investigated from tumor, normal adjacent tissues in 46 patients with HCC and normal hepatic tissues in 33 patients with hemangioma by 16S rRNA gene sequencing. Taxonomic composition differences in patients were evaluated using Linear discriminant analysis Effect Size (LefSe) and Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) to predict microbial functional pathways. Associations between the most relevant taxa and clinical characteristics of HCC patients were analyzed by Spearman rank correlations. The effects of microbe on hepatic stellate cells (HSCs) activation and HCC progression were examined.ResultsWe observed intrahepatic microbiota disturbances by reduced microbial diversity in HCC. The tumor microbiota of the HCC patients with cirrhosis showed higher abundance of Stenotrophomonas maltophilia (S. maltophilia). S. maltophilia provoked senescence-associated secretory phenotype (SASP) in HSCs by activating TLR-4-mediated NF-κB signaling pathway, which in turn induced NLRP3 inflammasome complex formation and secreted various inflammatory factors in the liver, thus facilitating HCC progression in mice. Moreover, signs of SASP were also observed in the HSCs in the area of HCC with higher S. maltophilia enrichment arising in patients with cirrhosis.ConclusionsOur analysis of the hepatic microbiota revealed for the first time that patients with HCC exhibited a dysbiotic microbial community with higher S. maltophilia abundance, which induced the expression SASP factors of HSCs and cirrhosis in the liver, concurring in the process of hepatocarcinogenesis.

Xanthine dehydrogenase as a prognostic biomarker related to tumor immunology in hepatocellular carcinoma

BackgroundXanthine dehydrogenase (XDH) is a critical enzyme involved in the oxidative metabolism of purines, pterin and aldehydes and a central component of the innate immune system. However, the prognostic value of XDH in predicting tumor-infiltrating lymphocyte abundance, the immune response, and survival in different cancers, including hepatocellular carcinoma (HCC), is still unclear.MethodsXDH expression was analyzed in multiple databases, including Oncomine, the Tumor Immune Estimation Resource (TIMER), the Kaplan–Meier plotter database, the Gene Expression Profiling Interactive Analysis (GEPIA) database, and The Cancer Genome Atlas (TCGA). XDH-associated transcriptional profiles were detected with an mRNA array, and the levels of infiltrating immune cells were validated by immunohistochemistry (IHC) of HCC tissues. A predictive signature containing multiple XDH-associated immune genes was established using the Cox regression model.ResultsDecreased XDH mRNA expression was detected in human cancers originating from the liver, bladder, breast, colon, bile duct, kidney, and hematolymphoid system. The prognostic potential of XDH mRNA expression was also significant in certain other cancers, including HCC, breast cancer, kidney or bladder carcinoma, gastric cancer, mesothelioma, lung cancer, and ovarian cancer. In HCC, a low XDH mRNA level predicted poorer overall survival, disease-specific survival, disease-free survival, and progression-free survival. The prognostic value of XDH was independent of the clinical features of HCC patients. Indeed, XDH expression in HCC activated several immune-related pathways, including the T cell receptor, PI3K-AKT, and MAPK signaling pathways, which induced a cytotoxic immune response. Importantly, the microenvironment of XDHhigh HCC tumors contained abundant infiltrating CD8 + T cells but not exhausted T cells. A risk prediction signature based on multiple XDH-associated immune genes was revealed as an independent predictor in the TCGA liver cancer cohort.ConclusionThese findings suggest that XDH is a valuable prognostic biomarker in HCC and other cancers and indicate that it may function in tumor immunology. Loss of XDH expression may be an immune evasion mechanism for HCC.

LncRNA ELF3-AS1 is a Prognostic Biomarker and Correlated with Immune Infiltrates in Hepatocellular Carcinoma.

Background Expression of long noncoding RNA (lncRNA) ELF3 antisense RNA 1 (ELF3-AS1) is observed in some cancers, while its role in hepatocellular carcinoma (HCC) is unclear. The study aimed to investigate the relationship between ELF3-AS1 and HCC based on database, bioinformatics, and statistical analysis. Methods In this study, Kruskal–Wallis test, Wilcoxon sign-rank test, logistic regression, Kaplan–Meier method, Cox regression analysis, gene set enrichment analysis (GSEA), and immunoinfiltration analysis were used to assess the relationship between ELF3-AS1 expression and clinical characteristics of HCC patients, the relationship between ELF3-AS1 expression and prognosis of HCC patients, and the possible functions of ELF3-AS1 in HCC. Results High expression of ELF3-AS1 in patients with HCC was related to T stage (P < 0.001), gender (P = 0.006), residual tumor (P = 0.008), histologic grade (P < 0.001), adjacent hepatic tissue inflammation (P = 0.011), AFP (P < 0.001), and vascular invasion (P = 0.028). High ELF3-AS1 expression was associated with poor overall survival (OS) (P = 0.001) and DSS (P = 0.047). ELF3-AS1 expression (P = 0.011) was independently correlated with OS in HCC patients. In the high ELF3-AS1 expression group, GPCR-radioligand binding, M phase, Class A/1 (rhodopsin-like receptors), cell cycle checkpoints, translation, mitotic metaphase and anaphase, signaling by robo receptors, keratinization, and rRNA processing were differentially enriched by GESA. ELF3-AS1 expression was associated with immune infiltrating cells. Conclusions ELF3-AS1 expression was associated with poor prognosis in HCC. ELF3-AS1 expression was significantly associated with immune infiltration. ELF3-AS1 is a promising biomarker that can be used for the diagnosis and prognosis of HCC.

Downregulation of snoRNA SNORA52 and Its Clinical Significance in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is one of the most common and aggressive tumors in the world while the accuracy of the present tests for detecting HCC is poor. A novel diagnostic and prognostic biomarker for HCC is urgently needed. Overwhelming evidence has demonstrated the regulatory roles of small nucleolar RNA (snoRNA) in carcinogenesis. This study is aimed at analyzing the expression of a snoRNA, SNORA52, in HCC and exploring the correlation between its expression and various clinical characteristics of HCC patients. By using quantitative real-time PCR, we found that SNORA52 was downregulated in HCC cell lines (P < 0.05) and HCC tissues (P < 0.001). Correlation analysis showed that the expression of SNORA52 was obviously associated with tumor size (P = 0.011), lesion number (P = 0.007), capsular invasion (P = 0.011), tumor differentiation degree (P = 0.046), and TNM stage (P = 0.004). The disease-free survival (DFS) and overall survival (OS) analysis showed that patients with lower SNORA52 expression had a worse prognosis (P < 0.001). Univariate and multivariate Cox regression analysis showed that SNORA52 expression was a completely independent prognostic factor to predict DFS (P = 0.009) and OS (P = 0.012) of HCC patients. Overall, our findings showed SNORA52 expression levels were downregulated in HCC tissues and correlated with multiple clinical variables, and SNORA52 was an independent prognostic factor for HCC patients, which suggested that SNORA52 could function as a potential diagnostic and prognostic biomarker for HCC patients.

Higher proportion of hepatitis B-related hepatocellular carcinoma combined with metabolic diseases in patients receiving antiviral therapy

Objective: To investigate the proportion of hepatitis B-related hepatocellular carcinoma (HCC) patients who have received antiviral therapy and compare the clinical characteristics of HCC patients who have received antiviral therapy with those who have not received antiviral therapy. Methods: Data of 2590 newly diagnosed hepatitis B-related HCC cases who were hospitalized in Nanfang Hospital from 2015 to 2017 were collected. Two independent sample t-tests, Mann-Whitney U test, and χ(2) test were used to compare the clinical characteristics of hepatitis B-related HCC patients who had received antiviral therapy and those who had not received antiviral therapy. Propensity score was used to match some clinical characteristics of the two groups of patients, and the differences in clinical characteristics of the two groups of patients after matching were further compared. Patients with HCC who had not received antiviral therapy were used as reference, and then the clinical characteristics of HCC patients who had received antiviral treatment were analyzed using multivariate logistic regression. Results: Among the 2 590 patients with hepatitis B-related HCC, only 18.10% of patients had received antiviral therapy, while 82.20% of patients who did not receive antiviral therapy met the treatment criteria. HCC patients who had received antiviral therapy were older (P < 0.05), had a higher proportion of liver cirrhosis (P < 0.001), and lower levels of platelets and alanine aminotransferases and smaller maximum tumor diameter (P < 0.001). In terms of metabolic disease, patients who had received antiviral treatment had higher prevalence of diabetes (14.50% vs. 7.70%, P < 0.001), hypertension (16.60% vs. 11.20%, P < 0.05), obesity (28.50% vs. 22.30%, P < 0.05), overweight (53.80% vs. 43.50%, P < 0.001) and non-alcoholic fatty liver disease (18.30% vs.8.00%, P < 0.001). After matching other different clinical characteristics, the prevalence of diabetes, hypertension, and non-alcoholic fatty liver disease in patients who received antiviral therapy was still higher than that of patients who did not receive antiviral therapy (14.50% vs. 9.80%, P < 0.05; 16.60% vs. 10.20%, P < 0.05; 18.30% vs. 7.00%, P < 0.001). Multivariate logistic regression analysis showed that HCC patients who had received antiviral therapy had a higher risk of developing non-alcoholic fatty liver disease (OR: 2.054, 95% CI: 1.404~3.004) than those who had not received antiviral therapy. Conclusion: Among patients with hepatitis B-related HCC, the proportion of patients who have received antiviral therapy is significantly low (under 20%), which suggests that the popularization and promotion of antiviral therapy has a long way to go. Compared with HCC patients who have not received antiviral therapy, the proportion of HCC patients who have received antiviral therapy combined with metabolic diseases is higher; therefore, it is necessary to pay more attention to the role of metabolic factors in the pathogenesis of hepatitis B-related HCC.

The diagnostic and prognostic value of H2AFY in hepatocellular carcinoma

BackgroundThe potential correlation between H2AFY (also known as MacroH2A1) and the clinical characteristics of hepatocellular carcinoma (HCC) patients was analysed through gene expression profiles and clinical data in The Cancer Genome Atlas (TCGA) database, and the diagnostic and prognostic value of H2AFY in HCC was discussed.MethodsThe gene expression data of HCC and the corresponding clinical characteristics of HCC patients were downloaded from the TCGA database. The differences in H2AFY in normal liver tissues and HCC were analysed. The relationship between H2AFY and clinical characteristics was analysed by Wilcoxon signed-rank test, logistic regression and Kruskal-Wallis test. The Kaplan-Meier method and the Cox regression method were used to analyse the relationship between overall survival and clinical characteristics of the patients. An ROC curve was used to predict the diagnostic value of H2AFY in HCC. Gene set enrichment analysis (GSEA) was used to analyse the pathway enrichment of H2AFY.ResultCompared with normal liver tissues, H2AFY was significantly highly expressed in HCC. H2AFY was positively correlated with the age, clinical stage, G stage (grade) and T stage (tumor stage) of liver cancer patients. Higher H2AFY expression predicted a poor prognosis in HCC patients. Cox regression analysis suggested that H2AFY was an independent risk factor for the prognosis of HCC patients. The ROC curve suggested that H2AFY had certain diagnostic value in HCC. GSEA suggested that H2AFY was correlated with lipid metabolism and a variety of tumour pathways.ConclusionOur study showed that H2AFY was significantly overexpressed in HCC. H2AFY may be a potential diagnostic and prognostic marker for HCC, and high expression of H2AFY predicts a poor prognosis in patients with HCC.

Comparison of Surgical Resection and Systemic Treatment for Hepatocellular Carcinoma with Vascular Invasion: National Cancer Database Analysis

Introduction: Small studies from outside of the USA suggest excellent outcomes after surgical resection for hepatocellular carcinoma (HCC) with vascular invasion. The study aims to (1) compare overall survival after surgical resection and systemic therapy among patients with HCC and vascular invasion and (2) determine factors associated with receipt of surgical resection in a US population. Methods: HCC patients with AJCC clinical TNM stage 7th T3BN0M0 diagnosed between 2010 and 2017 from the National Cancer Database were analyzed. Cox and logistic regression analyses identified factors associated with overall survival and receipt of surgical resection. Results: Of 11,259 patients with T3BN0M0 HCC, 325 (2.9%) and 4,268 (37.9%) received surgical resection and systemic therapy, respectively. In multivariable analysis, surgical resection was associated with improved survival compared to systemic therapy (adjusted hazard ratio: 0.496, 95% confidence interval: 0.426–0.578) with a median survival of 21.4 and 8.1 months, respectively. Superiority of surgical resection was observed in noncirrhotic and cirrhotic subgroups and propensity score matching and inverse probability of treatment weighting adjusted analysis. Asians were more likely to receive surgical resection, whereas Charlson comorbidity ≥3, elevated alpha-fetoprotein, smaller tumor size, care in a community cancer program, and the South or West region were associated with a lower likelihood of surgical resection. Conclusion: HCC patients with vascular invasion may benefit from surgical resection compared to systemic therapies. Demographic and clinical features of HCC patients and region and type of treating facility were associated with surgical resection versus systemic treatment.

Effects of Positive Hepatitis B Core Antibody and Metabolic Disorders in Hepatocellular Carcinoma in an Endemic Area of Hepatitis B Virus.

Background and AimsThis retrospective study aimed to investigate the impact of positive hepatitis B core antibody (anti-HBc) and metabolic disorders on clinical characteristics of hepatocellular carcinoma (HCC) patients in an HBV-endemic area.MethodsA total of 1950 consecutive patients newly diagnosed with HCC between 2002 and 2015 were included. Patient records were reviewed. We compared non-viral and non-alcoholic HCC patients with other etiological groups for HCC. In addition, we compared HCC patients with negative hepatitis B surface antigen (HBsAg) and positive anti-HBc to those with negative HBsAg and negative anti-HBc, and to those with HBV.ResultsThe prevalence of non-viral and non-alcoholic HCC increased from 7% in 2002–2011 to 12% in 2012–2015. The proportion of non-viral and non-alcoholic HCC gradually increased with age. Patients with non-viral and non-alcoholic HCC exhibited higher rates of metabolic disorders and preserved liver function. The rate of anti-HBc positivity was similarly high in all HCC etiological groups. The clinical features of HCC patients with negative HBsAg and positive anti-HBc were similar to those with negative HBsAg and negative anti-HBc, but significantly different from those with HBV HCC. Regarding tumor characteristics, patients in the non-viral and non-alcoholic HCC group had more advanced stages of tumors (mUICC stage III–V and BCLC stage C/D). There was no significant difference in overall survival among the patient groups. The presence of anti-HBc did not affect patient survival.ConclusionPatients with non-viral and non-alcoholic HCC had a relatively high prevalence of metabolic disorders and preserved liver function. However, they had advanced tumor stage compared to patients from other etiological groups. Anti-HBc positivity did not affect the clinical characteristics or prognosis of non-HBV HCC patients in this study.

MiRNA-15a-3p inhibits the metastasis of hepatocellular carcinoma by interacting with HMOX1.

To uncover the relationship between microRNA-15a-3p (miRNA-15a-3p) level and clinical features of hepatocellular carcinoma (HCC), and to explore the influence of miRNA-15a-3p on metastasis of HCC cells. HCC and paracancerous tissues were surgically resected from 44 HCC patients. Their clinical data and follow-up files were recorded. Differential expressions of miRNA-15a-3p in HCC samples were determined. The relationship between miRNA-15a-3p level and clinical features of HCC patients was analyzed. Changes in proliferative, migratory and invasive potentials in Huh7 and HepG2 cells overexpressing miRNA-15a-3p were examined. The downstream gene of miRNA-15a-3p and its involvement in HCC development were finally explored. MiRNA-15a-3p was downregulated in HCC tissues. High metastasis rate and poor prognosis were observed in HCC patients expressing a low level of miRNA-15a-3p. Overexpression of miRNA-15a-3p attenuated proliferative, migratory and invasive potentials in HCC. Protein levels of HMOX1, CD31, c-Myc, MMP-2 and MMP-9 were downregulated in HCC cells after overexpression of miRNA-15a-3p. HMOX1 was the downstream gene of miRNA-15a-3p, which was upregulated in HCC samples. Highly expressed HMOX1 was unfavorable to the prognosis in HCC. Overexpression of HMOX1 abolished the regulatory effects of miRNA-15a-3p on HCC cell phenotypes. MiRNA-15a-3p is closely linked to lymphatic metastasis, distant metastasis and poor prognosis in HCC. It inhibits the malignant development of HCC by interacting with HMOX1.

SSH3 promotes malignant progression of HCC by activating FGF1-mediated FGF/FGFR pathway.

To investigate the impact of silencing SSH3 on the expression of FGF/FGFR pathway-related genes FGF1, FGFR1, and FGFR2 in hepatocellular carcinoma (HCC) cell line, so as to further understand the role of SSH3 in proliferation and apoptosis of HCC cells. TWe first detected SSH3 expression in 51 pairs of tumor tissue specimens and adjacent tissues collected from HCC patients through quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) and analyzed the interplay between SSH3 expression and clinical characteristics of HCC patients. In vitro, after SSH3-silenced human HCC cell line was constructed by lentiviral transfection, Cell Counting Kit-8 (CCK-8), cell cloning assay, and flow apoptosis methods were conducted to explore the HCC cell functions. Finally, whether SSH3 exerts its biological characteristics through the FGF/FGFR pathway and the mutual regulation mechanism between SSH3 and FGF1 were further uncovered. It was found that SSH3 expression was remarkably higher in tumor tissues of HCC patients than that in normal tissues. Meanwhile, in comparison to patients with low expression of SSH3, patients with high expression of SSH3 had higher pathological grade and larger tumor size. In addition, after silencing SSH3, HCC cell proliferation ability was attenuated while the apoptosis ability was enhanced in comparison to the control group. Moreover, the protein levels of FGF1/FGFR pathway-related genes FGF1, FGFR1, and FGFR2 were markedly inhibited by the downregulation of SSH3. Meanwhile, cell recovery experiment demonstrated that the overexpression of FGF1 reversed the impact of SSH3 silencing on the proliferation and apoptosis of HCC cells. In summary, SSH3 is capable of accelerating the malignant progression of HCC by activating FGF1-mediated FGF/FGFR pathway, thus becoming a new molecular target for HCC therapy.