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Prognostic potential of the small GTPase Ran and its methylation in hepatocellular carcinoma |
Hui-Hui Liu a , Ju Wang a , Ying Zhang a , Yu-Chen Fan a , b , c , Kai Wang a , b , c , ∗ |
a Department of Hepatology, Qilu Hospital of Shandong University, Jinan 250000, China
b Shenzhen Research Institute of Shandong University, Shenzhen 518000, China
c Institute of Hepatology, Shandong University, Jinan 250000, China
∗ Corresponding author at: Department of Hepatology, Qilu Hospital of Shandong University, Jinan 250 0 0 0, China.
E-mail address: wangdoc876@126.com (K. Wang). |
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Abstract Background: Hepatocellular carcinoma (HCC) is a common malignant tumor with high mortality. The prognostic significance of Ran, a member of Ras superfamily, remains unclear in HCC patients.
Methods: Based on The Cancer Genome Atlas (TCGA) database and Tumor Immune Estimation Resource (TIMER), we analyzed the correlations among Ran expression, promoter methylation and immune cell infiltration. We also investigated the Ran expression levels in HCC tissues and normal tissues by using quantitative real-time PCR.
Results: Ran mRNA expression was significantly increased in HCC tissues compared with the normal tissues (P < 0.001). Time-dependent receiver operating characteristic (ROC) curves showed that Ran ex- pression had predictive value of the 1-, 3- and 5-year overall survival for HCC patients, and the areas under the curves (AUC) were 0.747, 0.634 and 0.704, respectively. Cox regression analysis showed that Ran expression was an independent prognostic factor for HCC patients (HR = 1.492, 95% CI: 1.129- 1.971, P = 0.005). We also found a negative relationship between Ran mRNA expression and its promoter methylation (r = -0.36, P < 0.001). High Ran expression and promoter hypomethylation predicted worse overall survival and progression-free survival (P < 0.05) and were involved in the progression of HCC. Ran expression exhibited significant correlations with immune infiltrates and prognostic immune-related genes.
Conclusions: The present study provides further insight into the prognosis of HCC, and Ran could serve as a biomarker for predicting the survival of HCC patients
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