Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Dec 6;4(4):215-221.
doi: 10.1016/j.gendis.2017.10.003. eCollection 2017 Dec.

Early diagnostic evaluation of miR-122 and miR-224 as biomarkers for hepatocellular carcinoma

Affiliations
Free PMC article

Early diagnostic evaluation of miR-122 and miR-224 as biomarkers for hepatocellular carcinoma

Khalda S Amr et al. Genes Dis. .
Free PMC article

Abstract

Hepatocellular carcinoma (HCC) is one of the common lethal types of tumor all over the world. The lethality of HCC accounts for many reasons. One of them, the lack of reliable diagnostic markers at the early stage, in this context, serum miRNAs became promising diagnostic biomarkers. Herein, we aimed to identify the predictive value of two miRNAs (miR-122 and miR-224) in plasma of patients with HCC preceded by chronic HCV infection. Taqman miRNA assays specific for hsa-miR-122 and hsa-miR-224 were used to assess the expression levels of the chosen miRNAs in plasma samples collected from three groups; 40 patients with HCC related to HCV, 40 with CHC patients and 20 healthy volunteers. This study revealed that the mean plasma values of miRNA-122 were significantly lower among HCC group when compared to CHC and control groups (P < 0.001). Whereas, miR-224 mean plasma values were significantly higher among HCC group when compared to both CHC group and control group. Moreover, it was found that miR-122 can predict development of HCC at cut-off value <0.67 (RQ) and (AUC = 0.98, P < 0.001). As regards miR-224, it can predict development of HCC at cut-off value >1.2 (RQ) and (AUC = 0.93, P < 0.001), while the accuracy of AFP to diagnose HCC was (AUC: 0.619; P = 0.06). In conclusion, the expression plasma of miR-122 and miR-224 could be used as noninvasive biomarkers for the early prediction of developing HCC at the early stage.

Keywords: ADAM17, A disintegrin and metalloprotease domain-containing protein 17; AFP, Alpha-fetoprotein; AKT, AKT/Protein kinase B; ALP, Alkaline phosphatase; ALT, Alanine aminotransferase; ANOVA, Analysis of variance; API-5, Apoptosis inhibitor-5; AST, Aspartate aminotransferase; AUC, Area under the curve; BCLC, Barcelona Clinic Liver Cancer; Bcl-2, B cell leukemia/lymphoma 2 like protein; CT, Computed tomography; CTP, Child-Turcotte-Pugh; Ccgn1, Cyclin G1 protein; Ct, Cycle threshold; Diagnosis; ELISA, Enzyme-linked immunosorbent assay; HCC, Hepatocellular carcinoma; HCV, Hepatitis C virus; Hepatocellular carcinoma; NF-κβ, nuclear factor kappa-light-chain-enhancer of activated B cells; PCR, Polymerase chain reaction; RNA, Ribonucleic acid; ROC, Receiver operating characteristic; RQ, Relative quantity; SE, standard error; Sensitivity; has-miR-122, Homo sapien-micro RNA-122; mRNA, Messenger RNA; miR-122; miR-224; miRNA/miR, Micro-RNA.

PubMed Disclaimer

Figures

Fig. 1
Figure 1
ROC curve of RQ of miR-122 in discriminating HCC group from CHC group.
Fig. 2
Figure 2
ROC curve of RQ of miR-224 in discriminating HCC group from CHC group.
Fig. 3
Figure 3
ROC curve of AFP and RQ of miR-122 combined in discriminating HCC group from CHC group.
Fig. 4
Figure 4
ROC curve of AFP and RQ of miR-224 combined in discriminating HCC group from CHC group.

Similar articles

Cited by

References

    1. Venook A.P., Papandreou C., Furuse J., Ladrón De Guevara L. The incidence and epidemiology of hepatocellular carcinoma: AGlobal and regional perspective. Oncol. 2010;15(Suppl 4):5–13. - PubMed
    1. Vescovo T., Refolo G., Vitagliano G., Fimia G.M., Piacentini M. Molecular mechanisms of hepatitis C virus-induced hepatocellular carcinoma. Clin Microbiol Infect. 2016;22(10):853–861. - PubMed
    1. Yamashita T., Honda M., Kaneko S. Molecular mechanisms of hepatocarcinogenesis in chronic hepatitis C virus infection. J Gastroenterol Hepatol. 2011;26(6):960–964. - PubMed
    1. Huang J.T., Liu S.M., Ma H. Systematic review and meta-analysis: circulating miRNAs for diagnosis of hepatocellular carcinoma. J Cell Physiol. 2016;231(2):328–335. - PubMed
    1. Qi J., Wang J., Katayama H., Sen S., Liu S. Circulating microRNAs (cmiRNAs) as novel potential biomarkers for hepatocellular carcinoma. Neoplasma. 2013;60(2):135–142. - PMC - PubMed