The biochemical changes among patients with hepatocellular carcinoma were various and common in which reduction of albumin synthesis (61%), reversion of A/G ratio (58%), bilirubinemia (21%), increases of SGOT (91%) and SGPT (82%) and these increases were direct proportional with progress of disease
Carcinoma, Hepatocellular ; Metabolism

OBJECTIVE: To explore the expression and clinical significance of chemokine CXCL10 and CXCR3 in hepatocellular carcinoma (HCC). METHODS: The expression and prognostic of CXCL10 and CXCR3 in HCC tumor tissues and non-tumor tissues were analyzed in two different publicly available databases the Cancer Genome Atlas (TCGA) and Liver Cancer Institute (LCI). In addition, quantitative real-time PCR (qPCR) was used to detect the mRNA expression of CXCL10 and CXCR3 in 45 HCC clinical samples with HBV infection background. Pearson correlation and Spearman rank correlation were used to determine the correlation between the expression level of CXCL10 and CXCR3 in tumor and non-tumor tissues. RESULTS: In TCGA database, the expression of CXCL10 in HCC tumor tissues was significantly higher than that in non-tumor tissues (nonpaired samples: 3.379±2.081 vs. 2.213±2.274, P<0.001; paired samples: 3.159±2.267 vs. 2.213±2.274, P=0.018). Similarly in LCI datebase (7.625±1.683 vs. 7.287±1.328, P=0.009). And higher CXCL10 expression was significantly associated with a better prognosis in the patients with HCC both in TCGA and LCI database (P=0.107, P=0.002). In TCGA database, the expression of CXCR3 in HCC tumor tissues was significantly higher than that in non-tumor tissues (nonpaired samples: -0.906±1.697 vs. -1.978±1.629, P<0.001; paired samples: -1.329±1.732 vs. -1.978±1.629, P=0.037), while lower in LCI database (3.989±0.339 vs. 4.074±0.309, P=0.003). In both databases, higher CXCR3 expression was significantly associated with a better prognosis in the HCC patients (P=0.004, P=0.014). Furthermore, in TCGA database, the expression level of CXCL10 and CXCR3 was positively correlated both in HCC tumor tissues and matched non-tumor tissues (r=0.584, P<0.001; r=0.776, P<0.001). The qPCR assay showed that the expression of CXCL10 in HBV-related HCC tumor tissues was significantly higher than those in normal liver tissues [0.479(0.223, 1.094) vs. 0.131(0.106, 0.159), P=0.010], and the expression in HBV-related non-tumor tissues was also significantly higher than those in normal liver tissues [0.484(0.241, 0.846) vs. 0.131(0.106, 0.159), P<0.001]. The same was true as CXCR3 [0.011(0.006, 0.019) vs. 0.002(0.001, 0.004), P=0.004; 0.016(0.011, 0.021) vs. 0.002(0.001, 0.004), P<0.001]. However there was no significant difference of CXCL10 and CXCR3 between tumor tissues and matched non-tumor tissues (P=1.000, P=0.374). CONCLUSION Expression of CXCL10 was up-regulated in HCC tissues, expression of CXCR3 was down-regulated in HBV-related HCC tissues, and the higher expression of both genes was correlated with better overall survival in HCC patients.
Adult ; Carcinoma, Hepatocellular/metabolism* ; Chemokine CXCL10/metabolism* ; Humans ; Liver Neoplasms/metabolism* ; Prognosis ; Receptors, CXCR3/metabolism*

Carcinoma, Hepatocellular ; metabolism ; pathology ; Hepatocytes ; metabolism ; pathology ; Humans ; Liver Neoplasms ; metabolism ; pathology ; NF-kappa B ; metabolism

Alteration of beta-catenin expression has been implicated in the development of hepatocellular carcinoma (HCC). It has been also reported that beta-catenin can influence the tumor cell proliferation or cyclin D1 expression, one of the target factors of beta-catenin. We performed an immunohistochemical analysis of beta-catenin and cyclin D1 in 77 patients with resected HCCs, and examined the relationships between the expressions of beta-catenin and cyclin D1, and other pathologic parameters including the mitotic index. Altered expressions of beta-catenin including nonnuclear overexpression and nuclear expression were detected in 58.4% of HCCs (45/77) and showed significant correlations with large tumor size, poor histologic grade, and high tumor stage. The mean mitotic index of HCCs with nuclear expression (3.2 +/- 3.0) and nonnuclear overexpression (2.7 +/- 2.5) was significantly higher than that of tumors with no overexpression (1.7 +/- 1.4) (p=0.018 and 0.038, respectively), however, no correlation was noted between the expressions of cyclin D1 and beta;-catenin. In addition, nonnuclear overexpression out of two altered expression patterns was more frequent (37.7% versus 20.8%) as well as pathologically more significant than nuclear expression. These results indicate that the altered expression of beta-catenin in HCC may play an important role in tumor progression by stimulating tumor cell proliferation, and nonnuclear overexpression may have pathologic significance in HCC.
Carcinoma, Hepatocellular/metabolism* ; Carcinoma, Hepatocellular/pathology ; Cell Division* ; Cyclin D1/metabolism* ; Cytoskeletal Proteins/metabolism* ; Human ; Immunohistochemistry ; Liver Neoplasms/metabolism* ; Liver Neoplasms/pathology ; Trans-Activators/metabolism*

To investigate the expression and clinical significance of p27kip1 protein in primary liver cancer, the expression of p27kip1 protein and the relationship with clinicopathological factors were studied in primary liver cancer by using SABC immunohistochemical staining in specimens of 40 cases of primary liver cancer and 20 cases of liver cirrihosis. Our results showed that positive expression rate of p27kip1 protein in primary liver cancer was 37.5% (15/40), which was lower than that in benign lesion of liver 80.0% (16/20, P<0.01). The expression level of p27kip1 protein in primary liver cancer showed significant differences in tumor size, Edmonson histological grade, portal invasion, lymph node metastasis, TNM stage (P<0.05, for all), but not significantly correlated with patient's age and histological types. Log rank test showed that the p27kip1 expression was significantly related with prognosis of the patients (P<0.05), and the prognosis of the patients with p27kip1 positive expression was markedly better than that of those with p27kip1 negative expression. It is concluded that the expression of p27kip1 was significantly related clinicopathological factors of primary liver cancer. p27kip1 protein may be used as a novel tumor marker for primary liver cancer.
Carcinoma, Hepatocellular/*metabolism ; Carcinoma, Hepatocellular/pathology ; Intracellular Signaling Peptides and Proteins/*metabolism ; Liver Neoplasms/*metabolism ; Liver Neoplasms/pathology ; Prognosis ; Retrospective Studies ; Tumor Markers, Biological/*metabolism

Carcinoma, Hepatocellular ; metabolism ; pathology ; Hep G2 Cells ; Humans ; Interleukin-6 ; metabolism ; Liver Neoplasms ; metabolism ; pathology

OBJECTIVETo investigate the expression and clinical significance of EphA7 protein in primary hepatocellular carcinoma.

METHODSImmunohistochemistry and Western blot were used to detect the expression of EphA7 protein in 40 cases of primary hepatocellular carcinoma, their corresponding adjacent liver tissues and 10 cases of normal liver tissues. The relations with its clinical pathological parameters were analyzed too.

RESULTSExpression of EphA7 protein was mainly located in the cytoplasm and the blood vessels of the septa, which was found in hepatocellular carcinoma tissues, their corresponding adjacent liver tissues and normal liver tissues. Western blot analysis showed that the expression level of EphA7 protein in hepatocellular carcinoma (0.58 +/- 0.26) was greater than that in corresponding adjacent liver tissues (0.40 +/- 0.22, P < 0.05) and normal liver tissues (0.32 +/- 0.16, P < 0.05). But it had no significant difference between corresponding adjacent liver tissues and normal liver tissues (P > 0.05). EphA7 protein expression was correlated with histological differentiation, tumor thrombi in portal vein, lymph node metastasis and high AFP level (P < 0.05).

CONCLUSIONSEphA7 protein expression is significantly correlated with the biological behavior of primary hepatocellular carcinoma. The high expression of EphA7 protein may play an important role in the malignancy transformation, invasion progression and metastasis of primary hepatocellular carcinoma.

Carcinoma, Hepatocellular ; metabolism ; pathology ; Humans ; Liver Neoplasms ; metabolism ; pathology ; Receptor, EphA7 ; metabolism

Antigens, CD ; genetics ; metabolism ; Carcinoma, Hepatocellular ; metabolism ; pathology ; Humans ; Liver Neoplasms ; metabolism ; pathology ; Tetraspanin 24

OBJECTIVETo observe the change in the amount of sialic acids on hepatocellular carcinoma (HCC) cell membrane.

METHODSSurgical specimens of HCC and liver cirrhosis tissues were obtained from 28 patients to prepare carcinoma cell and hepatocyte suspensions by collagenase digestion. For assay of α2, 3 and α2, 6-sialic acids, the cells were suspended in the staining buffer containing either fluorescein isothiocyanate-Maackia amurensis lectin (FITC-MAL) or fluorescein isothiocyanate-Sambucus nigra bark lectin (FITC-SNA) and incubated for 1 h, respectively. Flow cytometric analysis was carried out to measure the mean fluorescence intensity (MFI) on the cell surface.

RESULTSIn both FITC-MAL- and FITC-SNA-incubated HCC cells, the MFI on the cell surface was greater than that of the hepatocytes.

CONCLUSIONBoth of α2, 3 and α2, 6- sialic acids increases significantly on the hepatocyte membrane after the carcinomatous change.

Carcinoma, Hepatocellular ; metabolism ; pathology ; Cell Membrane ; metabolism ; Humans ; Liver Cirrhosis ; metabolism ; pathology ; Liver Neoplasms ; metabolism ; pathology ; Sialic Acids ; metabolism

OBJECTIVE: To construct the regulatory network of survival-related onco-miRNAs and their target genes in hepatocellular carcinoma (HCC) and verify the interactions between the key miRNAs and their targets. METHODS: We screened survival-related miRNAs in HCC in OncomiR and Oncolnc databases, predicted their target genes using miRNet, and conducted survival and expression analysis using GEPIA2 and Ualcan, respectively. The miRNA-target gene co-expression analysis was performed and the miRNA-target network was constructed. Enrichment analysis was performed in Enrichr and protein-protein interaction analysis in STRING database. We tested the effects of transfection with the mimic or inhibitor of hsa-miR-1226-3p or hsa-miR-221-5p on proliferation of HepG2 cells using CCK8 assay and examined the changes in the expressions of the target genes using RT-qPCR. The effect of transfection with hsa-miR-221-5p mimic or inhibitor on protein expressions of the target genes was examined using Western blotting in. A dual luciferase reporter assay was used to test the interaction between hsa-miR-221-5p and its potential target gene GCDH. We further examined the effect of transfection with hsa-miR-221-5p mimic and pEGFP N1-GCDH, alone or in combination, on proliferation, migration and invasion of HepG2 cells. RESULTS: We identified 223 survival-related miRNAs in HCC from OncomiR and 146 miRNAs from Oncolnc with an intersection of 131 miRNAs, and 48 miRNAs were identified as onco-miRNAs in HCC after survival and expression analysis. Twenty-seven eligible target genes were identified after miRNA-mRNA co-expression analysis. The constructed miRNA-target gene network consisted of 25 miRNAs and 27 target genes. The most enriched term was fatty acid metabolism for the target genes. In HepG2 cells, transfection with the mimic or inhibitor of hsa-miR-1226-3p or hsa-miR-221-5p caused significant changes of the mRNA and protein levels of their respective target genes (P < 0.05). The results of dual luciferase reporter assay confirmed the targeting relationship between hsa-miR-221-5p and GCDH gene (P < 0.05). Transfection with hsa-miR-221-5p mimic significantly suppressed the proliferation, migration and invasion of HepG2 cells, but this effect was obviously relieved by co-transformation with pEGFP N1-GCDH (P < 0.05). CONCLUSION Fatty acid metabolism might be one of the most crucial pathways that mediate the effect of the oncomiRNAs in HCC, and the hsa-miR-221-5p/GCDH axis is an important molecular mechanism for HCC progression.
Carcinoma, Hepatocellular/genetics* ; Gene Regulatory Networks ; Humans ; Liver Neoplasms/pathology* ; MicroRNAs/metabolism* ; RNA, Messenger/metabolism*