Independent Prognostic Factor For Hepatocellular Carcinoma Research Articles

Expression Pattern and Prognostic Value of Key Regulators for m6A RNA Modification in Hepatocellular Carcinoma

As the most prevalent type of mRNA modification in mammals, N6-methyladenosine (m6A) is involved in various biological processes. Accumulating studies have indicated that the deregulation of m6A RNA modification is linked to cancer and other diseases. However, its implications in hepatocellular carcinoma (HCC) remain poorly characterized. Herein, we sought to investigate the expression pattern of 13 key regulators for m6A RNA modification and to evaluate their prognostic value in HCC. First, we systematically analyzed data from The Cancer Genome Atlas (TCGA) database pertaining to patient clinical information and mRNA gene expression data. We found that 11 out of 13 key regulators for m6A RNA modification showed significantly higher expression levels in HCC. Subsequently, we identified two subgroups (clusters 1 and 2) via consensus clustering based on the expression of 13 m6A RNA methylation regulators. Cluster 2 had a worse prognosis and was also significantly correlated with higher histological grade and pathological stage when compared with cluster 1. Moreover, cluster 2 was remarkedly enriched for cancer-related pathways. We further constructed a robust risk signature of five regulators for m6A RNA modification. Further analysis indicated that this risk signature could be an independent prognostic factor for HCC, and the prognostic relevance of this five-gene risk signature was successfully validated using the Gene Expression Omnibus (GEO) dataset. Finally, we established a novel prognostic nomogram on the basis of age, gender, histological grade, pathological stage, and risk score to precisely predict the prognosis of patients with HCC. In summary, we herein uncovered the vital role of regulators for m6A RNA modification in HCC and developed a risk signature as a promising prognostic marker in HCC patients.

A Novel Signature Based on mTORC1 Pathway in Hepatocellular Carcinoma

Background mTORC1 signal pathway plays a role in the initiation and progression of hepatocellular carcinoma (HCC), but no relevant gene signature was developed. This research aimed to explore the potential correlation between the mTORC1 signal pathway and HCC and establish the related gene signature. Methods HCC cases were retrieved from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) databases. The genes included in mTORC1-associated signature were selected by performing univariate and multivariate Cox regression analyses and lasso regression analysis. The protein expression level of included genes was verified by The Human Protein Altas. Then, the signature was verified by survival analysis and multiple receiver operating characteristic (ROC) curve. Moreover, the correlation between signature and immune cells infiltration was investigated. Furthermore, a nomogram was established and evaluated by C-index and calibration plot. Results The signature was established with the six genes (ETF1, GSR, SKAP2, HSPD1, CACYBP, and PNP). Three genes (ETF1, GSR, and HSPD1) have verified their protein expression level in HCC. Under the grouping from signature, patients in the high-risk group showed worse survival than those in the low-risk group in both three datasets. The signature was found to be significantly associated with the infiltration of B cells, CD4+ T-cells, CD8+ T-cells, dendritic cells, macrophages, and neutrophils. The univariate and multivariate Cox regression analysis indicated that mTORC1-related signature could be the potential independent prognostic factor in HCC. Finally, the nomogram involving age, gender, stage, and signature has been established and verified. Conclusion The mTORC1-associated gene signature established and validated in our research could be used as a potential prognostic factor in HCC.

Construction of a circRNA-miRNA-mRNA Network Related to Macrophage Infiltration in Hepatocellular Carcinoma.

Immune cells in the tumor microenvironment play a crucial role in regulating tumor progression. The circular RNA (circRNA) regulatory network involved in immune cell infiltration in hepatocellular carcinoma (HCC) remains largely unknown. In this study, the “estimate the proportion of immune and cancer cells” (EPIC) application is used to evaluate the fractions of immune cells, cancer-associated fibroblasts, and endothelial cells in HCC from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Patients with a high macrophage fraction have better overall survival, and macrophage fraction is an independent prognostic factor for HCC. Next, the common differentially expressed mRNAs (DEmRNAs), miRNAs (DEmiRNAs), and circRNAs (DEcircRNAs) between paired tumor and non-tumor tissues are screened out from the TCGA and/or GEO databases. Through spearman correlation analysis, the macrophage-related DEmRNAs are identified to construct a circRNA-miRNA-mRNA regulatory network, which includes 6 DEcircRNAs, 7 DEmiRNAs, and 45 DEmRNAs. Functional enrichment analysis reveals that these DEmRNAs are mainly involved in immune-related processes. Furthermore, six hub DEmRNAs are identified to establish a hub circRNA regulatory network. Among the DEmRNAs in the network, PRC1 is identified as the most influential node. PRC1 high expression is correlated with poor prognosis and low macrophage infiltration in HCC. Taken together, we identify a certain circRNA regulatory network related to macrophage infiltration and provide novel insight into the mechanism of study and therapeutic targets for HCC.

Development and validation of a RNA binding protein gene pair-associated prognostic signature for prediction of overall survival in hepatocellular carcinoma

BackgroundIncreasing evidence has demonstrated the correlation between hepatocellular carcinoma (HCC) prognosis and RNA binding proteins (RBPs) dysregulation. Thus, we aimed to develop and validate a reliable prognostic signature that can estimate the prognosis for HCC.MethodsGene expression profiling and clinical information of 374 HCC patients were derived from the TCGA data portal. The survival-related RBP pairs were determined using univariate cox-regression analysis and the signature was built based on LASSO analysis. All patients were divided patients into high-and low-risk groups according to the optimal cut off of the signature score determined by time-dependent receiver operating characteristic (ROC) curve analysis. The predictive value of the signature was further validated in an independent cohort.ResultsA 37-RBP pairs signature consisting of 61 unique genes was constructed which was significantly associated with the survival. The RBP-related signature accurately predicted the prognosis of HCC patients, and patients in high-risk groups showed poor survival in two cohorts. The novel signature was an independent prognostic factor of HCC in two cohorts (all P < 0.001). Furthermore, the C-index of the prognostic model was 0.799, which was higher than that of many established risk models. Pathway and process enrichment analysis showed that the 61 unique genes were mainly enriched in translation, ncRNA metabolic process, RNA splicing, RNA modification, and translational termination.ConclusionThe novel proposed RBP-related signature based on relative expression orderings could serve as a promising independent prognostic biomarker for patients with HCC, and could improve the individualized survival prediction in HCC.

The Effect of m6A Methylation Regulatory Factors on the Malignant Progression and Clinical Prognosis of Hepatocellular Carcinoma.

The modification level of the transcript N6-methyladenosine (m6A), dynamically regulated by methyltransferases, binding proteins and demethylases, is closely related to the occurrence, and progression of tumors. Here, 13 differentially expressed m6A methylation regulators were confirmed in 374 hepatocellular carcinoma (HCC) patients, among which RBM15, YTHDC1, YTHDF1, and YTHDF2 were significantly variant in different stages and grades. Further consensus clustering analysis identified two HCC subtypes (cluster1/2) in this cohort, finding an active role of the m6A methylation regulators in the malignant progression of HCC. Furthermore, GESA enrichment analysis showed that PPAR signaling pathway, and the pathways involved in retinol metabolism and peroxisome were related to tumor progression. Additionally, a 4-gene risk model (ROC = 0.729) that can be used as a prognostic marker and a predictor for clinicopathological characteristics of HCC was constructed via univariate and multivariate Cox regression analyses. Analysis on overall survival and disease-free survival demonstrated that METTL3 and YTHDF1 out of the four genes in the model could serve as independent prognostic factors for HCC. Overall, this study systematically investigated the effect of m6A methylation regulators on the malignant progression of HCC and proposed a 4-gene risk prediction model, laying a theoretical foundation for the further research on HCC prognosis.

Progress in the correlation between PTPN12 gene expression and human tumors.

Background:The global morbidity of cancer is rising rapidly. Despite advances in molecular biology, immunology, and cytotoxic and immune-anticancer therapies, cancer remains a major cause of death worldwide. Protein tyrosine phosphatase non-receptor type 12 (PTPN12) is a new member of the cytoplasmic protein tyrosine phosphatase family, isolated from a cDNA library of adult colon tissue. Thus far, no studies have reviewed the correlation between PTPN12 gene expression and human tumors.Methods:This article summarizes the latest domestic and international research developments on how the expression of PTPN12 relates to human tumors. The extensive search in Web of Science and PubMed with the keywords including PTPN12, tumor, renal cell carcinoma, proto-oncogenes, tumor suppressor genes was undertaken.Results:More and more studies have shown that a tumor is essentially a genetic disease, arising from a broken antagonistic function between proto-oncogenes and tumor suppressor genes. When their antagonistic effect is out of balance, it may cause uncontrolled growth of cells and lead to the occurrence of tumors. PTPN12 is a tumor suppressor gene, so inhibiting its activity will lead directly or indirectly to the occurrence of tumors.Conclusion:The etiology, prevention, and treatment of tumors have become the focus of research around the world. PTPN12 is a tumor suppressor gene. In the future, PTPN12 might serve as a novel molecular marker to benefit patients, and even the development of tumor suppressor gene activation agents can form a practical research direction.

Circulating tumor cells and CXCR4 in the prognosis of hepatocellular carcinoma.

BackgroundThis study was to determine circulating tumor cells (CTCs) and the expression of CXC chemokine receptor type 4 (CXCR4) in primary hepatocellular carcinoma (HCC) and the relationships with prognosis.MethodsWe used an advanced CanPatrolTM CTC-enrichment technique to collect CTCs for isolation and characterization from blood samples. The RNA in situ hybridization (RNA-ISH) method, which is based on branched DNA (bDNA) signal amplification technology, was used to determine the expression of CXCR4 according to epithelial-mesenchymal transition (EMT) markers in 99 patients with primary liver cancer in blood samples pre-operatively. The relationship between the EMT markers and HCC was determined.ResultsThe positive rates of CTCs and CXCR4 were 89.9% and 58.8%, respectively. CTCs were positively correlated with the Barcelona clinic liver cancer (BCLC) staging, tumor diameter and number, envelope, microsatellite damage, portal vein thrombosis, alpha-fetoprotein (AFP), and hepatitis B DNA, and negatively correlated with Edmondson grade. There were significant differences in the expression of CXCR4 between interstitial CTCs and mixed CTCs. A total of 99 patients underwent CTCs testing prior to surgery. The tumor-free survival time of HCC patients with interstitial CTCs <1 (13.3 months) was significantly longer than patients with interstitial CTCs ≥1 (5.0 months) pre-operatively.ConclusionsCTC-positivity was shown to be associated with HCC and can be used as an independent prognostic factor for HCC. High CXCR4 protein expression was more common in mixed CTCs.

Autophagy-related genes prognosis signature as potential predictive markers for immunotherapy in hepatocellular carcinoma.

Autophagy-related genes (ATGs) depress tumorigenesis. However, in tumor tissue, it promotes tumor progression. Here, we demonstrated that 63 ATGs were differentially expressed in normal tissues and tumor tissues of hepatocellular carcinoma (HCC), and seven prognostic-related genes were chosen to establish prognostic risk signatures. It is not just an independent prognostic factor for HCC, but also closely related to the degree of malignancy of HCC. Further, the hallmarks of PI3K–AKT–mTOR signaling was significantly enriched in the high-risk group. Moreover, AKT–pS473 and mTOR–pS2448 expression was down-regulated and correlated with patient prognosis in high-risk group. Finally, we demonstrate that the prognosis signature of ATGs is closely related to immune cell infiltration and PD-L1 expression. In conclusion, ATGs are a crucial factor in the malignant progression of HCC and will be a new prognostic marker for diagnosis and treatment. ATGs prognostic signatures are potentially useful for predicting PD-L1 therapeutic effects.

Retinal dehydrogenase 5 (RHD5) attenuates metastasis via regulating HIPPO/YAP signaling pathway in Hepatocellular Carcinoma.

Retinal dehydrogenase 5 (RDH5) is an important enzyme in the visual cycle. Several studies have reported that the RDH family may play crucial roles in tumor prognosis. However, the role of RDH5 in tumor prognosis is still unclear. We examined the mRNA level of RDH5 by using q-PCR in hepatocellular carcinoma (HCC) and adjacent non-cancerous tissues. The proliferation rate of HCC cells was detected by MTS assay, and the invasive ability was examined by transwell and scratch wound assays. The YAP protein localization and expression were visualized by immunofluorescence in two different cell lines. CpG islands in the promoter region were predicted by using the methprimer database. Clinical characteristics of a patient cohort data came from The Cancer Genome Atlas database. RDH5 was significantly downregulated in hepatocellular carcinoma tissues, and low RDH5 expression was associated with metastasis and poor patient prognosis. Functional assays revealed that the RDH5 promoter is methylated in HCC cell lines. Moreover, overexpressing RDH5 can suppress metastasis by reversing the epithelial-mesenchymal transition (EMT) process, and RDH5 also inhibits cell proliferation in HCC cell lines. Furthermore, suppressing RDH5 can activate the Hippo/YAP signaling pathway and promote the nuclear translocation of YAP. Clinical data demonstrated that RDH5 is an independent prognostic factor in HCC. In our study, we provided the first evidence that RDH5 plays a crucial role in suppressing proliferation and metastasis, and the RDH5 promoter is methylated in hepatocellular carcinoma. And as an important regulator, RDH5 can suppress the Hippo/YAP signaling pathway. Taken together, it revealed that RDH5 might be a potential therapeutic target in HCC patients.

Overexpression of long noncoding RNA HOXC13-AS and its prognostic significance in hepatocellular carcinoma.

The long noncoding RNA HOXC13 antisense RNA (HOXC13-AS) was overexpressed in several tumor specimens, and its overexpression was correlated with cells metastasis of tumors. However, its effects in other tumors remained largely unclear. In this work, we aimed to identify whether HOXC13-AS was abnormally expressed in hepatocellular carcinoma (HCC) and further explore its prognostic value. QRT-PCR was applied for the examination of HOXC13-AS levels in 197 paired HCC specimens and matched non-tumor specimens. Chi-square tests were carried out for the verification of the relations between the levels of HOXC13-AS and the clinicopathologic features of HCC patients. The Kaplan-Meier methods were applied for the exploration of the prognostic value of HOXC13-AS. Multivariate analysis was performed using the Cox proportional hazard assays. Up-regulation of HOXC13-AS was observed in HCC tissues compared to matched normal tissues (p < 0.01). Higher levels of HOXC13-AS were associated with TNM stage (p = 0.024) and lymph node metastasis (p = 0.043). Survival assays showed that HCC patients with high-HOXC13-AS expressions had significantly shorter overall survival (p < 0.0106) and disease-free survival (p < 0.0066) compared to their counterparts with low-HOXC13-AS expressions. Multivariate analyses suggested HOXC13-AS as an independent prognostic factor for HCC patients. We showed that HOXC13-AS might serve as a promising biomarker for prognosis prediction of HCC.

Elevated Mortalin correlates with poor outcome in hepatocellular carcinoma

Although several lines of evidence existed suggesting that Mortalin was linked with survival in malignant tumors; it has been barely described regarding the prognostic involvement of its expression in hepatocellular carcinoma (HCC). Herein, to understand the prognostic meaning of Mortalin expression, Immunohistochemistry was undertaken to observe the immunohistochemical characteristics of Mortalin on HCC tissue microarray consisting of 90 cases of HCC and its paired normal control dots, followed by detailed statistical analysis with the accompanying clinicopathological variables available, including gender, age, tumor size, differentiation, cirrhosis, vascular invasion, clinical stage, T classification and intrahepatic metastases. Meanwhile, Kaplan-Meier survival curve was plotted to analyze the prognostic difference for patients with high and low expression of Mortalin. It was exhibited that Mortalin was over-expressed in HCC tissues relative to paired normal control and elevated Mortalin significantly correlated with vascular invasion, clinical stage and intrahepatic metastasis. Kaplan-Meier survival analysis revealed that Mortalin was remarkably associated with overall survival and disease-free survival. Multivariate Cox regression analysis showed that expression of Mortalin was an independent prognostic factor in HCC. Collectively, the data we provided here support the prognostic prediction value of Mortalin in HCC.

Hsa_circ_0003998 may be used as a new biomarker for the diagnosis and prognosis of hepatocellular carcinoma.

BackgroundCircular RNAs (circRNAs) play important roles in the progression of cancers, but the precise role of circRNAs in the diagnosis and prognosis of hepatocellular carcinoma (HCC) remains to be clarified. The aim of the current study was to explore the diagnostic and prognostic values of hsa_circ_0003998 in HCC.MethodsCircRNAs expression was measured using RNA-seq analysis from HCC tissues (n=6) (three cases with or without portal vein invasion). Hsa_circ_0003998 in 200 pairs of HCC and adjacent noncancerous tissues and HCC cell lines was examined using qRT-PCR and the clinicopathologic significance was determined. We also detected the plasma levels of hsa_circ_0003998 in HCC, hepatitis B patients and healthy controls. The clinical diagnosis and prognostic values were further determined using receiver operating characteristic (ROC) curve, Kaplan–Meier curve and Cox regression.ResultsHsa_circ_0003998 was upregulated in HCC tissues (P<0.001) and HCC cell lines (HepG2, HuH7, MHCC97H) (P<0.001). In addition, upregulation of hsa_circ_0003998 level was associated with higher serum alpha-fetoprotien (AFP) level (P=0.003), larger tumor diameter (P=0.009), lower differentiation level (P=0.023) and microvascular invasion (P=0.028). The plasma level of hsa_circ_0003998 in HCC patients was significantly higher than those in hepatitis B patients (P<0.001) and healthy controls (P<0.001). Its level was significantly reduced after the operation (P<0.001). The area under the ROC curve (AUC) for distinguishing HCC from adjacent noncancerous tissues was 0.894 (95% CI=0.86–0.922, P<0.001), the sensitivity and specificity were 0.84 and 0.8, respectively. Comparing with hepatitis B patients and healthy controls, hsa_circ_0003998, respectively, had an AUC value of 0.833 (95% CI=0.763–0.889, P<0.001) and 0.892 (95% CI=0.831–0.937, P<0.001). Their sensitivity and specificity were 0.83, 0.7 and 0.8, 0.84, respectively. Moreover, the combination of hsa_circ_0003998 and AFP showed the highest AUC value of 0.947, the sensitivity and specificity were 0.88 and 0.92, respectively. The hsa_circ_0003998 (P=0.003) and AFP (P=0.008) levels were independent prognostic factors for HCC. The overall survival of HCC patients with high level of hsa_circ_0003998 was significantly poorer than those with low level (P=0.005).ConclusionOur findings suggest that hsa_circ_0003998 may be used as a novel potential biomarker for the diagnosis and prognosis of HCC patients.

Long non-coding RNA miR143HG predicts good prognosis and inhibits tumor multiplication and metastasis by suppressing mitogen-activated protein kinase and Wnt signaling pathways in hepatocellular carcinoma.

The expression of microRNA143HG (miR143HG) was significantly downregulated in hepatocellular carcinoma (HCC) tissues by bioinformatics analysis. This study aimed to determine the role of miR143HG in HCC cell proliferation and metastasis. Fifty patients with HCC were divided into two groups based on median miR143HG expression levels. The correlation between miR143HG expression and prognosis, and the correlations between miR143HG expression and the patients' clinicopathological characteristics were evaluated based on the two groups. Gain-of-function and loss-of-function measurements of miR143HG were carried out to verify the biological function of miR143HG by Cell Counting Kit-8, EdU, Transwell, and western blotting assays and flow cytometric analysis. The underlying mechanism was explored by quantitative real-time polymerase chain reaction of miRNA (miR-155-5p and miR-26b-5p), luciferase reporter assay, western blotting of Wnt signaling pathway-related proteins (β-catenin, adenomatous polyposis coli (APC), glycogen synthase kinase 3β (GSK3β), ZEB1, and E-cadherin), mitogen-activated protein kinase (MAPK) signaling pathway-related proteins (extracellular signal-regulated kinase [ERK]1/2, p-ERK1/2, c-Jun N-terminal kinase (JNK), p-JNK, P38, and p-P38), and immunofluorescence staining of β-catenin. miR143HG expression was markedly downregulated in HCC tissues and cells. Its expression was associated with the presence or absence of portal vein tumor thrombus, hepatitis B virus infection, relapse and metastasis, and Barcelona Clinic Liver Cancer stage. Additionally, miR143HG expression predicted a good prognosis and acted as an independent prognostic factor in HCC for overall survival. Overexpression of miR143HG suppressed HCC cell proliferation and metastasis, and induced cell cycle arrest and apoptosis. Consistently, the depletion of miR143HG resulted in the opposite phenomenon of the aforementioned results. miR143HG inhibits miR-155 expression; miR-155 directly targets APC, which is a negative regulator of the Wnt/β-catenin pathway, so miR143HG can act on the Wnt pathway. miR143HG was further found to reduce the expression of β-catenin and block the nuclear accumulation of β-catenin, ultimately inhibiting the activation of the Wnt pathway. It inhibits the expression of Wnt downstream target gene ZEB1, and then E-cadherin expression is increased and cell motility is inhibited. Furthermore, miR143HG exerts its antiproliferative function by influencing the MAPK signaling pathway and then inducing G2 /M arrest in cells. This study showed that miR143HG plays critical roles in the development and progression of HCC by suppressing the MAPK and Wnt signaling pathways.

A five lncRNA signature for prognosis prediction in hepatocellular carcinoma.

This study was conducted to screen prognosis-associated long-noncoding RNAs (lncRNAs) and a prognosis assessment model in hepatocellular carcinoma (HCC). lncRNA- and mRNA-sequencing data of early-stage HCC samples were downloaded from The Cancer Genome Atlas database. The samples were divided into training set and validation set. Differentially expressed lncRNAs (DELs) between poor prognosis and good prognosis samples were screened with DEseq and edgeR. Cox regression analysis was conducted to identify prognosis-associated lncRNAs in the training set. A prognosis risk assessment model was established to calculate the risk score for each patient in the training set, and the prognosis prediction function was tested and validated in the validation dataset. The connection between the risk assessment model and clinical features was analyzed. A co-expression network between lncRNAs and corresponding genes was constructed, and functional enrichment was performed for these genes. A total of 81 DELs were screened between poor and good prognosis samples in the training set, and 43 prognosis-associated lncRNAs were observed. Of these DELs, five were used to construct the risk assessment model (RP11-325L7.2, DKFZP434L187, RP11-100L22.4, DLX2-AS1 and RP11-104L21.3). Low-risk samples exhibited longer survival time compared with the high-risk samples. The five lncRNAs exhibited significant differences in expression levels between different prognosis groups. Risk score was an independent prognostic factor for HCC. In the entire set, the low-risk group demonstrated significantly better prognosis compared with the high-risk group, even across all age, sex and alcohol consumption subgroups. ‘Nucleoside-triphosphatase regulator activity’, ‘GTPase regulator activity’, ‘enzyme binding’, ‘peroxisome proliferator-activated receptor signaling pathway’ and ‘fatty acid metabolism’ were the most significantly enriched functional terms. The signature lncRNAs screened in this study may have constitute novel strategies and biomarkers that predict the prognosis of HCC, and these may also contribute to a deeper understanding of the mechanisms underlying HCC development.

ANKHD1 is required for SMYD3 to promote tumor metastasis in hepatocellular carcinoma

AbsractBackgroundTumor metastasis is the major reason for poor prognosis of hepatocellular carcinoma (HCC) patients after hepatic resection. SMYD3 has been demonstrated to promote liver tumor metastasis in mice. However, the detailed molecular mechanism is still largely unknown.MethodsThe effect of SMYD3 on invasiveness and metastasis of HCC was analyzed by immunohistochemistry, migration assay, invasion assay, wound healing assay and in vivo lung metastasis assay. Mass spectrometry analysis was conducted using proteins pulled down by H3K4me3 antibody in SMYD3-overexpressing cells. Luciferase reporter, chromatin immunoprecipitation, Electrophoretic mobility shift assay were used to measure the regulation of SLUG transcription by SMYD3-ANKHD1. In addition, the role of SMYD3-ANKHD1 in determining clinical outcomes for HCC patients was investigated by immunohistochemistry in 243 HCC tissues.ResultsSMYD3 was an independent prognostic factor of HCC and promoted migration and invasion of human HCC cells. ANKHD1 was identified by mass spectrometry as a co-regulator with SMYD3. ANKHD1 interacted with H3K4me3 when cells were overexpressing SMYD3. The pro-migratory and pro-invasive effects of SMYD3 were attenuated when ANKHD1 was knocked down by siRNA. Furthermore, we found that SMYD3 bound and activated the SLUG gene promoter in a manner associated with elevating H3K4me3, H3K9Ac and H3K14Ac. Knockdown of ANKHD1 could attenuate the SMYD3-dependent activation of Slug expression. We further detected the expression of SMYD3 and ANKHD1 in 243 HCC patients and found that patients with positive coexpression of SMYD3 and ANKHD1 (SMYD3+ANKHD1+) had the shortest overall and recurrence-free survival.ConclusionOur findings provide a novel molecular mechanism for the SMYD3-regulated HCC migration and metastasis, and indicates that SMYD3-ANKHD1 may be a potential target for treating HCC.

Up-Regulation of hsa-miR-210 Promotes Venous Metastasis and Predicts Poor Prognosis in Hepatocellular Carcinoma.

Objective: To investigate the potential biomarkers for venous metastasis of hepatocellular carcinoma (HCC), and briefly discuss their target genes and the signaling pathways they are involved in.Materials and Method: The dataset GSE6857 was downloaded from GEO. Significantly differentially expressed miRNAs were identified using the R package “limma,” After that, the survival analysis was conducted to discover the significance of these up-regulated miRNAs for the prognosis of HCC patients. Additionally, miRNAs which were up-regulated in venous metastasis positive HCC tissues and were significant for the prognosis of HCC patients were further verified in clinical samples using RT-qPCR. The miRNAs were then analyzed for their correlations with clinical characteristics including survival time, AFP level, pathological grade, TNM stage, tumor stage, lymph-node metastasis, distant metastasis, child-pugh score, vascular invasion, liver fibrosis and race using 375 HCC samples downloaded from the TCGA database. The target genes of these miRNAs were obtained using a miRNA target gene prediction database, and their functions were analyzed using the online tool DAVID.Results: 15 miRNAs were differentially expressed in samples with venous metastasis, among which 7 were up-regulated in venous metastasis positive HCC samples. As one of the up-regulated miRNAs, hsa-miR-210 was identified as an independent prognostic factor for HCC. Using RT-qPCR, it was evident that hsa-miR-210 expression was significantly higher in venous metastasis positive HCC samples (p = 0.0036). Further analysis indicated that hsa-miR-210 was positively associated with AFP level, pathological grade, TNM stage, tumor stage and vascular invasion. A total of 168 hsa-miR-210 target genes, which are mainly related to tumor metastasis and tumor signaling pathways, were also predicted in this study.Conclusion: hsa-miR-210 might promote vascular invasion of HCC cells and could be used as a prognostic biomarker.

Overexpression of long non-coding RNA MINCR contributes to progressive clinicopathological features and poor prognosis of human hepatocellular carcinoma.

MYC-induced long non-coding RNA (MINCR) has been shown to be a long noncoding RNA that facilitates the progression of a number of malignancies, including hepatocellular carcinoma (HCC). However, few studies have explored the expression and role of MINCR in HCC. In this study, we aimed to investigate the clinical significance of MINCR in HCC. MINCR expression levels in 161 pairs of HCC tissues and pair-matched adjacent normal tissues were examined by qRT-PCR. The correlation between clinicopathological features and MINCR expression was analyzed by x2 test. Differences in patient survival were determined using the Kaplan-Meier method and a log-rank test. The significance of survival variables was analyzed using the Cox multivariate proportional hazards model. Our results showed that MINCR was significantly upregulated in HCC tissues, compared with paired adjacent nontumor tissue samples. MINCR upregulation was correlated with TNM stage (p = 0.005) and histological grade (p = 0.001). The results of Kaplan-Meier method and log-rank test indicated that the 5-years overall survival of the high MINCR group was significantly lower than that of low MINCR group (p = 0.0035). Univariate and multivariate analysis results indicated that MINCR was an independent prognostic factor in HCC (p < 0.05). We firstly provided the possibility that evaluating MINCR in HCC tissues may have prognostic and predictive value in the clinical management of HCC patients.

High expression of TACC2 in hepatocellular carcinoma is associated with poor prognosis.

BACKGROUND: Transforming acidic coiled-coil protein 2 (TACC2) is a member of TACC family proteins which is mainly involved in the stabilization of spindles and regulation of microtubule dynamics through interactions with molecules involved in centrosomes/microtubules. TACC2 is involved in tumorigenesis of variety of cancers but the clinical significance of TACC2 protein in hepatocellular carcinoma (HCC) is still unclear.OBJECTIVE: This study aims to investigate the expression of TACC2 in HCC and determine if clinical significance and prognostic relevance exists.METHODS: We performed quantitative PCR (qPCR) and western blot to examine TACC2 mRNA and protein expression in paired HCC tissues and matched adjacent non-cancerous tissues. Immunohistochemistry was performed in 106 postoperative HCC samples.RESULTS: There was higher expression of TACC2 protein and mRNA in HCC tissue. Immunohistochemistry analysis showed high expression of TACC2 in HCC tissue and was significantly associated with the capsular extension, tumor recurrence and shortened overall and disease free survival. The Cox regression analysis suggested that a high expression of TACC2 was an independent prognostic factor for HCC patients.CONCLUSION: This finding suggests that TACC2 may be a useful tool as a candidate biomarker to predict the recurrence and prognosis of HCC.

Upregulation of LncDQ is Associated with Poor Prognosis and Promotes Tumor Progression via Epigenetic Regulation of the EMT Pathway in HCC

Background/Aims: Long noncoding RNAs (lncRNAs) are key regulators of cancer initiation and progression. In this study, we investigated the clinical value and functional role of LncRNA DQ786243 (LncDQ) in the pathogenesis of hepatocellular carcinoma (HCC). Methods: To investigate the expression level of LncDQ in HCC, we performed quantitative real-time PCR using total RNA extracted from HCC tumor tissues and their matched non-neoplastic counterparts, as well as from the serum of HCC patients and healthy volunteers. The correlation of LncDQ expression with clinicopathologic features and prognosis was analyzed. The functional role of LncDQ in cell proliferation, migration, and invasion were evaluated by MTT cell viability, wound healing, and transwell assays in vitro and in vivo. RNA immunoprecipitation and chromatin immunoprecipitation assays were performed to analyze the potential mechanism of LncDQ in HCC cells. Results: LncDQ was upregulated in both HCC tissue samples and serum and was correlated with low survival rate and adverse clinical pathological characteristics. Multivariate analysis demonstrated that LncDQ expression was an independent prognostic factor for HCC. The area under the receiver operating characteristic curve was 0.804 with a sensitivity of 0.72 and a specificity of 0.8. Knockdown of LncDQ induced inhibition of cell proliferation, migration, and invasion in vitro and in vivo. Mechanistically, LncDQ regulated the epithelial–mesenchymal transition pathway by interacting with EZH2, to epigenetically repress the expression of E-cadherin in HCC cells. Conclusions: Taken together, the results of our study indicate that LncDQ plays a critical role in HCC progression, and may serve as a potential diagnostic and prognostic biomarker for HCC.

Expression of lncRNA TCONS_00027978 in hepatocellular carcinoma and its influence on prognosis and survival.

Long noncoding RNAs (lncRNAs) have been reported to have crucial roles in the regulation of various tumors. Recently, lncRNA TCONS_00027978 (TCONS_00027978) was found to be downregulated in hepatocellular carcinoma (HCC). This study aims at analyzing the value of TCONS_00027978 in valuing the prognosis of HCC patients. The expression of TCONS_00027978 was detected using qRT-PCR in 241 hepatocellular specimens and matched adjacent normal tissues. The association between TCONS_00027978 expression levels and clinicopathological factors was examined. Survival and Cox proportional-hazards regression analyses were performed to explore the association between TCONS_00027978 expression levels and prognosis in HCC patients. We found that the TCONS_00027978 expression level was significantly decreased in HCC tissues compared with matched normal tissues (p < 0.01). TCONS_00027978 was positively associated with TNM stage (p = 0.002), lymph node metastasis (p = 0.001) and histologic grade (p = 0.002) in HCC patients. In addition, Kaplan-Meier analysis indicated that low levels of TCONS_00027978 expression were associated with poorer overall survival (p = 0.002) and disease-free survival (p =0.001). Subsequently, multivariate analyses indicated that low TCONS_00027978 expression was an independent poor prognostic factor for HCC patients. Our study is the first to demonstrate the TCONS_00027978 expression as an independent prognostic factor in HCC.