The aim of the present study was to investigate the prevalence rate of hepatitis C virus (HCV) infection in human immunodeficiency virus (HIV)-positive individuals and to study the infection status of HCV RNA in HIV-infected individuals who did not have anti-HCV antibodies in the Guangxi province of China, in order to provide basis for screening and clinical treatment of hepatitis C in future. Data were collected from patients recruited via a questionnaire. Between August 2008 and January 2009, 300 HIV-infected individuals were randomly selected from various HIV monitoring points in Liuzhou and Qinzhou (Guangxi, China). In addition, 41 patients with only hepatitis C were recruited from a hospital clinic (First Affiliated Hospital of Guangxi Medical University, Nanning, China). HCV antibodies in patient serum samples were detected by ELISA. HCV RNA expression was detected using nested polymerase chain reaction (PCR), HCV RNA levels in the serum were evaluated using quantitative fluorescence PCR, and HCV genotypes were confirmed using restriction fragment length polymorphism. The infection rate of HCV in the HIV-infected people was 48.67%. The anti-HCV positive rate differed between routes of disease transmission: Anti-HCV positive rate was 63.7% among drug users, 34.96% among sex-transmitted persons and 1.37% among other persons. In the anti-HCV-negative group, the HCV RNA-positive rate was 26.62%. In the anti-HCV-positive group, HCV RNA positive rate was 78.08%. HCV RNA level of HIV/HCV coinfected patients was higher than those infected with HCV alone, and there was no difference of anti-HCV-positive rate among different levels of HCV RNA. HCV genotypes of HIV/HCV coinfected persons showed diversity across Guangxi, and the predominant ones were the 1b and mixed subtypes. The predominant HCV genotypes were 6a, mixed subtypes and 3b amongst patients that contracted HCV via drug use-related routes of transmission. The patients with HCV transmission routes other than drug-related routes possessed 1b and 1a+1b genotypes. In conclusion, there was a large proportion of HIV infected persons with mixed HCV infection in the Guangxi province of China. The present results show that 26.62% of HCV-infected persons will be fail to be diagnosed with hepatitis C virus coinfection if we simply use ELISA to detect HCV antibody. The predominant HCV genotypes were 1b, mixed, 6a and 3b in HIV/HCV coinfected persons.
BackgroundThe current study aims at using the whole genome expression profile chips for systematically investigating the diagnostic and prognostic values of excision repair cross-complementation (ERCC) genes in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC).Materials and methodsWhole genome expression profile chips were obtained from the GSE14520. The receiver-operating characteristic (ROC) curve, survival analysis, and nomogram were used to investigate the diagnostic and prognostic values of ERCC genes. Investigation of the potential function of ERCC8 was carried out by gene set enrichment analysis (GSEA) and genome-wide coexpression analysis.ResultsROC analysis suggests that six ERCC genes (ERCC1, ERCC2, ERCC3, ERCC4, ERCC5, and ERCC8) were dysregulated and may have potential to distinguish between HBV-related HCC tumor and paracancerous tissues (area under the curve of ROC ranged from 0.623 to 0.744). Survival analysis demonstrated that high ERCC8 expression was associated with a significantly decreased risk of recurrence (adjusted P=0.021; HR=0.643; 95% CI=0.442–0.937) and death (adjusted P=0.049; HR=0.631; 95% CI=0.399–0.998) in HBV-related HCC. Then, we also developed two nomograms for the HBV-related HCC individualized prognosis predictions. GSEA suggests that the high expression of ERCC8 may have involvement in the energy metabolism biological processes. As the genome-wide coexpression analysis and functional assessment of ERCC8 suggest, those coexpressed genes were significantly enriched in multiple biological processes of DNA damage and repair.ConclusionThe present study indicates that six ERCC genes (ERCC1, ERCC2, ERCC3, ERCC4, ERCC5, and ERCC8) were dysregulated between HBV-related HCC tumor and paracancerous tissues and that the mRNA expression of ERCC8 may serve as a potential biomarker for the HBV-related HCC prognosis.
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