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Bmi-1 expression as a new independent prognostic marker of hepatocellular carcinoma
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摘要
Objectives: Many studies have shown that the B-cell-specific moloney leukemia virus insertion site 1(Bmi-1) exhibit altered expression in various cancers and serve as prognostic biomarkers. However, the expression level and prognostic value of Bmi-1 in hepatocellular carcinoma(HCC) is still controversial. Materials and Methods: We investigated Bmi-1 expression and its prognostic significance in HCC by performing immunohistochemical analysis, using a total of 90 HCC clinical tissue samples and The Cancer Genome Atlas(TCGA) datasets.Results: High Bmi-1 protein and mRNA expression were significantly higher in HCC tissues than that in the adjacent normal tissues(P<0.001). Cox regression multivariate analyses revealed that Bmi-1 expression was a significant and independent prognostic parameter(HR=2.378, 95% CI=1.245-4.543, P=0.009) for HCC patients. We established a nomogram integrated Bmi-1 and TNM stage, which showed better performance in predicting clinical outcomes for patients with HCC. Furthermore, miR-203 was significantly lower in HCC tissues compared with matched adjacent normal liver tissues(P<0.001), and was negative correlated with Bmi-1 expression(P<0.001).Conclusions: Bmi-1, an identified independent prognostic factor, could improve predictive accuracy for survival in patients with HCC.
Objectives: Many studies have shown that the B-cell-specific moloney leukemia virus insertion site 1(Bmi-1) exhibit altered expression in various cancers and serve as prognostic biomarkers. However, the expression level and prognostic value of Bmi-1 in hepatocellular carcinoma(HCC) is still controversial. Materials and Methods: We investigated Bmi-1 expression and its prognostic significance in HCC by performing immunohistochemical analysis, using a total of 90 HCC clinical tissue samples and The Cancer Genome Atlas(TCGA) datasets.Results: High Bmi-1 protein and mRNA expression were significantly higher in HCC tissues than that in the adjacent normal tissues(P<0.001). Cox regression multivariate analyses revealed that Bmi-1 expression was a significant and independent prognostic parameter(HR=2.378, 95% CI=1.245-4.543, P=0.009) for HCC patients. We established a nomogram integrated Bmi-1 and TNM stage, which showed better performance in predicting clinical outcomes for patients with HCC. Furthermore, miR-203 was significantly lower in HCC tissues compared with matched adjacent normal liver tissues(P<0.001), and was negative correlated with Bmi-1 expression(P<0.001).Conclusions: Bmi-1, an identified independent prognostic factor, could improve predictive accuracy for survival in patients with HCC.
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