*Corresponding author:Sarah El-Nakeep, Hepatology and Gastroenterology Unit,Internal Medicine Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt, Email: firstname.lastname@example.org
Received: January 02, 2018; Published: January 11, 2018
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Hepatocellular carcinoma (HCC) is the fifth most common cancer and the leading cause of cancer death in the world. Its poor prognosis is mainly due to the late detection of the tumor, thus multiple genetic markers including micro RNAs are under research to improve detection and prognosis of HCC.
Aim: of this study was to evaluate the diagnostic potential of a panel of two circulating miR 143 and miR-550a as diagnostic biomarkers for hepatocellular carcinoma (HCC) among patients with hepatitis C virus (HCV) infected Egyptian.
Methods: A total of 81 participants were included in this study (3 controls, 41 hepatitis C patients and 37 HCC patients). Samples were collected, and both miR143 and miR-550a were assessed.
Results: The expression levels of the two miRNAs (miR-143 and miR-550a) were detected by quantitative reverse-transcriptase PCR (RTqPCR) in controls, HCV and HCC patients. miR-143 showed no correlation with the two groups while miR-550 a showed reversed correlation. AUC for miR550 was 0.93 (0.86-0.99) with sensitivity 91.89% and specificity 90.24% at the cutoff value ≤3.29 for prediction of HCC occurrence, and NPV was 92.5 and PPV was 89.5.
Conclusion: The expression of plasma miR-143 was not correlated with the occurrence of HCC while plasma miR-550a was significantly down-regulated in patients with HCC, thus it could be a good potential circulating biomarker for HCC.
Keywords: Hepatocellular carcinoma; hepatitis C virus; miR-143; miR-550a; HCC prognosis; HCC diagnosis
Abbreviations: HCC: Hepatocellular Carcinoma; CT: Computed Tomography; MRI: Magnetic Resonance Imaging; ALT: Alanine Aminotransferase; AST: Aspartate Amino-Transferase; INR: International Normalized Ratio; AFP: Alpha-Feto Protein; SPSS: Statistical Program for Social Science; AUC: Area Under Curve; ROC: Receiver Operating Characteristic