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find Keyword "hepatitis B-related hepatocellular carcinoma" 2 results
  • The value of neutrophil to lymphocyte ratio combined with systemic immune inflammation index in evaluating the prognosis of hepatitis B-related hepatocellular carcinoma after hepatectomy

    ObjectiveTo explore the combined application of neutrophil to lymphocyte ratio (NLR) and systemic immune inflammation index (SII) on the prognosis of hepatitis B-related hepatocellular carcinoma after resection.MethodsRetrospectively collected data of 180 patients with hepatitis B-related hepatocellular carcinoma who were hospitalized in the Department of Infectious Diseases and Hepatobiliary Surgery of the Affiliated Hospital of Southwest Medical University and received surgical treatment from January 2013 to December 2019, including general information, laboratory examination and abdominal CT or MRI results. NLR and SII values were measured at one week before operation, and their critical values of NLR and SII were determined by ROC curve analysis. Univariate and multivariate analysis were performed to determine the risk factors to predict the survival status of patients with hepatitis B-related hepatocellular carcinoma after hepatectomy.ResultsUnivariate analysis showed that AFP, platelets, TNM staging, portal vein tumor thrombus, tumor differentiation, NLR, SII, and NLR+SII combined score were significantly correlated with the prognosis of patients with hepatitis B-related hepatocellular carcinoma (P<0.05). Multivariate analysis showed that PLT [HR=1.791, 95%CI (1.124, 2.854), P=0.014], NLR [HR=4.289, 95%CI (2.571, 7.156), P<0.001], SII [HR=5.317, 95%CI (3.016, 9.374), P<0.001], and NLR+SII combined score [HR=7.901, 95%CI (4.124, 15.138), P<0.001] were independently correlated with the survival of patients with hepatitis B-related hepatocellular carcinoma.ConclusionsThe preoperative NLR+SII combined score can be used to evaluate the postoperative prognosis of patients with hepatitis B-related hepatocellular carcinoma. The higher the score, the lower the postoperative survival rate.

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  • Genomics differences between hepatitis C and hepatitis B related hepatocellular carcinomas based on bioinformatics analysis

    ObjectiveTo investigate differentially expressed genes (DEGs) and potential molecular mechanisms between hepatitis C-related hepatocellular carcinoma (HCV-HCC) and hepatitis B-related HCC (HBV-HCC). MethodsThe data of HCV-HCC and HBV-HCC gene expressions were downloaded and integrated from the public gene expression database, and the limma package was used to investigate the DEGs between the HCV-HCC and HBV-HCC samples. The gene set enrichment analysis (GSEA) was used to explore the differences in suppressed or activated gene sets between the HCV-HCC and HBV-HCC samples, and the MCODE was used to explore the key molecular modules, and then the potential biological processes and molecular pathways of the key molecular modules were analyzed. The effect of key genes on survival of the HCC patients was analyzed by the Kaplan-Meier-Plotter database.ResultsIn this study, 119 HBV-HCC samples and 163 HCV-HCC samples were obtained, and the 199 DEGs were screened out. Compared with HBV-HCC, the activated gene sets of HCV-HCC were mainly enriched in the gene sets of inflammation, complement, up-regulation of genes in response to interferon, up-regulation of genes in response to KRAS, genes regulated by the nuclear factor- κB-tumor necrosis factor pathway, and apoptosis. However, the cell cycle-related gene sets were obviously suppressed. Eight key molecular modules enriched by DEGs were found, which included 18 key genes (IFI27, DDX60, MX1, IRF9, OAS3, OAS1, RSAD2, GBP4, HERC6, ISG15, IFIT1, CMPK2, EPSTI1, IFI44, IFI44L, HERC5, IFITM1, CXCL10). GO analysis showed that the biological process was mainly concentrated in the body response related to virus infection, the molecular component was mainly in the host cells, and the molecular function was mainly enriched in the biological combination. KEGG analysis showed that the key genes were mainly involved in the molecular signaling pathway related to virus infection. The survival analysis showed that the 9 key genes (CXCL10, HERC6, DDX60, IFITM1, IFI27, GBP4, IFI44L, IFI44, MX1) were closely related to better prognosis of patients with HCC (HR<1, P<0.05). ConclusionsThere is an essential difference between HBV-HCC and HCV-HCC. Occurrence of HCV-HCC is mainly related to virus infection and immune response induced by the virus. Therefore, for HCV infection, active antiviral treatment is necessary for avoiding hepatitis turning into chronic viral infection and preventing or blocking HCV infection converting to HCC.

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