Interaction between HOTTIP, H19, and HOTAIR long noncoding RNAs and miRNA-152 in cases of HCC caused by HCV infection

Abstract

Abstract Background Liver cancer (hepatocellular carcinoma “HCC”) remains a significant health issue without prompt detection and appropriate prevention. By interacting with each other, long noncoding RNAs (lncRNAs) and microRNAs (miRNAs) can form gene regulatory networks. Specifically, we aim to determine whether the lncRNAs (HOTTIP, H19, and HOTAIR) and miRNA-152 interact in a significant manner in the progression of Hepatitis C virus (HCV) patients to HCC. This is followed by the question of whether these biomarkers can be used to diagnose and prognose noninvasively. We used online computational techniques to predict which miRNA group is likely to affect the lncRNAs being examined. This study involved 133 participants. 103 patients with HCV were included in the study, which was divided into two groups: Group I, with 65 cases of chronic liver disease without HCC, and Group II, with 38 cases of chronic liver disease with HCC. In addition, 30 healthy volunteers served as controls. In this study, a qRT-PCR was used to test gene expression. Results A consistent reverse correlation has been observed between lncRNAs and miRNA-152 as the disease progresses. Conclusion According to our findings, the studied biomarkers may be useful as noninvasive biomarkers for prognosis in patients with HCV Genotype 4 who develop liver cirrhosis and HCC. Many miRNAs, including miRNA-19a and miRNA-106a, may interact with lncRNAs that have been investigated in addition to miRNA-152.