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Abstract Summary Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, accounting for between 85% and 90% of it. It is a challenging malignancy of global importance, associated with a high rate of mortality with roughly 550,000 - 600,000 new HCC cases globally each year. Hepatitis C virus (HCV) is one of the major risk factors for the development of HCC. Egypt is considered as a country with rising incidence of HCC. Unfortunately, approximately 85% of HCC patients are being presented at a late stage. MicroRNAs (miRNAs) are a non-coding family of genes involved in post-transcriptional gene regulation. These transcripts play important role in hepatocarcinogenesis where they control several cell processes such as cell proliferation, cell differentiation, and cell death. The aim of the present study was to explore the potential usefulness of some liver diseases-associated serum miRNAs namely miR-17, miR-21, miR-25, miR-30c, miR-93, miR-106b and miR-222 as novel noninvasive markers for diagnosis of HCV-related hepatocellular carcinoma in Egyptian patients. Another aim is to find the concordance in both serum and tissue samples. A total of 25 patients with HCC and 52 patients with HCV were selected to participate in the study. Control group included Summary 155 50 serum samples which obtained from normal blood donors who were negative for HBV, HCV and HCC. For tissue study, six tissue biopsied were obtained from 6 healthy volunteers who donate a part of their liver “lobe of their liver” in transplantation surgery under the approval of ethics) (they were also negative for HBV, HCV and HCC) and used as controls. Total RNAs extraction was performed in all groups, cDNA was synthesized and quantitative RT-PCR was done for detection of expression pattern of the candidate miRNA, namely miR-17, miR-21, mi-25, miR-30c, miR-93, miR-106b and miR-222. Then the relative gene expression of the target miRNAs was calculated according to the Livak’s 2-ΔΔCt equation in relation to miR-16 and RNU6B as internal control genes. Statistical analyses were then performed using IBM SPSS (V.20). Deregulation in serum level of miRNAs was detected in 6 out of 7 miRNA studied in HCC patients. Four were up-regulated namely miR-21, miR-25, miR-30c and miR-222 and two were down-regulated namely miR-17 and miR-106b as compared to healthy normal controls. In patients with HCV infection, miR-21, miR-25, miR-93 and miR-222 serum expression levels were elevated while serum expression level of miR-30c was decreased compared to healthy controls. Five miRNAs (miR-17, miR-21, miR-30c, miR-106b and miR-222) were found to be significantly deregulated in serum of HCC-patients compared to HCV-infected Summary 156 patients. Matching was observed only in miR-106b and miR-222 expression levels between serum and tissue samples in HCC patients. Therefore, it was decided to study the potential of these 2 miRNAs in detection of HCC among HCV-infected patients. No correlation was detected between the relative expression level of miR-106b and clinico-pathological parameters. A significant correlation was detected between the relative expression level of miR-222 and liver cirrhosis (P=0.048). On the other hand, a significant correlation (P < 0.001) was detected between the expression levels of the 2 miRNAs. Receiver Operating characteristics (ROC) analysis has shown that the serum level of miR-106b has moderate sensitivity (46.2%) and high specificity (84%) in HCC diagnosis; while miR- 222 has moderate specificity (59.6%) and sensitivity (72%). In addition, by combining either the miRNA-106b or the miR-222 levels with the AFP level, the sensitivity was notably increased compared with AFP alone, suggesting that both serum miRNA- 106b and miR-222 have some diagnostic potential, both individually and in combination with AFP. Further analysis is needed to evaluate the diagnostic power of circulating miR-106b and miR-222 for hepatocellular carcinoma. Future studies will focus on developing a clinically useful early diagnostic test for HCC using these biomarkers and will validate our current data in a larger sample size study |