RESUMO
Biomarkers for the detection of early hepatocellular carcinoma (HCC) are urgently needed. To identify biomarkers of HCC, we performed a comparative proteomics analysis, based on 2-DE of HCC tissues and surrounding non-tumor tissues. Six xenobiotic enzymes were significantly down-regulated in the HCC tissue. Among these, phenol sulfotransferase (SULT1A1) was confirmed by Western blot analysis in 105 HCC patients. SULT1A1 showed a significant decrease in 98.1% of the HCC tissues, with 88.6% sensitivity and 66.7% specificity for the detection of HCC. Immunohistochemistry for SULT1A1 was performed and compared with glypican-3, which is a well-known marker of HCC. The results showed down-regulation of SULT1A1 and up-regulation of glypican-3 in 52.6 and 71.9% of the HCCs, and the use of both markers improved the sensitivity up to 78.9%. Moreover, SULT1A1 was useful in differentiating early HCC from benign dysplastic nodules. Clinically, the down-regulation of SULT1A1 was closely associated with an advanced International Union Against Cancer stage and high levels of serum alpha-fetoprotein. In conclusion, the results of this study demonstrate that the loss of SULT1A1 appears to be a characteristic molecular signature of HCC. SULT1A1 might be a useful biomarker for the detection of early HCC and help predict the clinical outcome of patients with HCC.
Assuntos
Arilsulfotransferase/metabolismo , Biomarcadores Tumorais/metabolismo , Carcinoma Hepatocelular/enzimologia , Regulação para Baixo , Neoplasias Hepáticas/enzimologia , Sequência de Aminoácidos , Arilsulfotransferase/química , Biomarcadores Tumorais/química , Carcinoma Hepatocelular/sangue , Carcinoma Hepatocelular/patologia , Eletroforese em Gel Bidimensional , Feminino , Glipicanas/metabolismo , Humanos , Neoplasias Hepáticas/patologia , Masculino , Pessoa de Meia-Idade , Estadiamento de Neoplasias , alfa-Fetoproteínas/metabolismoRESUMO
BACKGROUND/AIM: Epithelial cell adhesion molecule (EpCAM) is expressed in hepatic progenitor cells and hepatocellular carcinoma (HCC), and is considered a marker of liver cancer stem cells. MATERIALS AND METHODS: A total of 262 patients were enrolled who had undergone surgical resection for HCC, with immunohistochemical staining results for EpCAM. The immunohistochemical expression of EpCAM and other stemness-related markers was evaluated as prognosticators of tumor recurrence and survival in patients who underwent surgical resection for HCC. RESULTS: A multivariate Cox regression analysis showed that tumor size [hazard ratio (HR)=2.26, p=0.005], intrahepatic metastasis (HR=2.31, p=0.011), and EpCAM positivity (HR=1.74, p=0.038) were associated with tumor recurrence. In a Kaplan-Meier survival analysis, patients with EpCAM-positive tumors had a significantly higher tumor recurrence rate and a reduced overall survival compared to those with EpCAM-negative tumors. CONCLUSION: Immunohistochemical expression of EpCAM was identified as a poor prognosticator of recurrence and survival after surgical resection in patients with HCC.
Assuntos
Biomarcadores Tumorais/metabolismo , Carcinoma Hepatocelular/mortalidade , Carcinoma Hepatocelular/cirurgia , Molécula de Adesão da Célula Epitelial/metabolismo , Neoplasias Hepáticas/mortalidade , Neoplasias Hepáticas/cirurgia , Recidiva Local de Neoplasia/diagnóstico , Adulto , Idoso , Carcinoma Hepatocelular/patologia , Feminino , Humanos , Imuno-Histoquímica , Neoplasias Hepáticas/patologia , Masculino , Pessoa de Meia-Idade , Prognóstico , Análise de SobrevidaRESUMO
Although the molecular mechanisms underpinning hepatocellular carcinoma (HCC) are unknown, gene copy number and associated mRNA expression changes are frequently reported. Comparative genomic hybridization arrays spotted with 4041 bacterial artificial chromosome clones were used to assess copy number changes in 45 HCC tissues. Seventy more HCC tissues were used to validate candidate genes by using western blots and immunohistochemistry. A total of 259 clones were associated with copy number changes that significantly differed between normal liver and HCC samples. The chromosomal region 1q32.1 containing the nuclear casein kinase and cyclin-dependent kinase substrate 1 (NUCKS1) gene was associated with tumor vascular invasion. Western blot analysis demonstrated that NUCKS1 was up-regulated in 37 of 70 (52.8%) HCC tissues compared with adjacent non-tumor tissues, and over-expressed in a vast majority of HCCs (44/52, 84.6%) as determined by immunohistochemical staining. Furthermore, immunostaining of both NUCKS1 and glypican-3 improved the diagnostic prediction of HCC. Knock-down of NUCKS1 by siRNA implied the decrease in cell viability of the Hep3B cell line and reduced tumor formation in a xenograft mouse model. NUCKS1 was identified as a potential oncogene at chromosomal 1q32.1 in patients with HCC, and it might be a valuable immunodiagnostic marker for HCC.
Assuntos
Biomarcadores Tumorais/genética , Carcinoma Hepatocelular/diagnóstico , Neoplasias Hepáticas/diagnóstico , Proteínas Nucleares/genética , Fosfoproteínas/genética , Carcinoma Hepatocelular/genética , Carcinoma Hepatocelular/imunologia , Linhagem Celular Tumoral , Cromossomos Humanos Par 1 , Variações do Número de Cópias de DNA , Perfilação da Expressão Gênica , Humanos , Neoplasias Hepáticas/genética , Neoplasias Hepáticas/imunologiaRESUMO
The aim of this study was to explore novel genomic biomarkers predicting hepatocellular carcinoma (HCC) prognosis by integrative analysis of DNA copy number aberrations (CNAs) and gene expression profiles. Array comparative genomic hybridization and expression array were performed on 45 and 31 HCC samples, respectively. To identify functionally important genes, concordant results of DNA copy number and gene expression were retrieved by integrative analysis. Cox regression analysis indicated that the CNAs in 192 genomic regions were significantly associated with overall survival (OS; p < 0.05). Integrative analysis capturing concordant results demonstrated that the low expression of TLE4 (p = 0.041) and XPA (p = 0.006) was associated with poor OS. In the analysis of tumor recurrence, 514 genomic regions with CNAs were associated with recurrence. Integrative analysis revealed that the overexpression of 16 genes, including FGR (p = 0.003), RELA (p = 0.049), LTBP3 (p = 0.050), and RIN1 (p = 0.023), was significantly associated with shorter time to tumor recurrence. On multivariate analysis, FGR and XPA were independent risk factors of early recurrence and poor OS, respectively. Integrated analysis of CNAs and gene expression profiles correlated with long-term follow-up data successfully identified potential prognostic markers predicting survival and tumor recurrence in patients with HCC who underwent surgical resection.