Europe PMC
Nothing Special   »   [go: up one dir, main page]

Europe PMC requires Javascript to function effectively.

Either your web browser doesn't support Javascript or it is currently turned off. In the latter case, please turn on Javascript support in your web browser and reload this page.

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Abstract 


Hepatocarcinogenesis is a multistep process that evolves from cirrhosis or dysplastic nodule (DN), and eventually leads to overt hepatocellular carcinoma (HCC). Differentiation between early HCC and DN is an important issue in the clinical setting. This study aims to investigate the potential of circulating microRNA (miRNA) levels in the diagnosis of early HCC. RNA was extracted from sera of 30 chronic hepatitis B patients with pathologically proven DN and 120 age- and sex-matched patients with early HCC. Paired samples were collected from ten patients with DN who developed overt HCC in the follow-up. A panel of ten cancer-associated miRNAs was analyzed by quantitative real-time reverse-transcription polymerase chain reaction. Serum levels of miR-16, miR-122, miR-221, let-7b and miR-15b were significantly lower in patients with DN than in the HCC group. When DN progressed to overt HCC, serum miR-122, miR-let-7b and miR-15b levels increased significantly (p = 0.046, 0.043 and 0.044, respectively). As a single marker, α-fetoprotein (AFP) and miR-122 as well as let-7b had the similar performance for differentiate HCC from DN. As limited to subjects with normal AFP, let-7b resulted in a sensitivity of 84.8% and a specificity of 50% in separating HCC and DN with a cutoff value of 3.5 (p = 0.001). In conclusion, miR-122 and let-7b, which are upregulated in the serum of early-HCC patients, can be useful markers for differentiating early HCC from DN in chronic hepatitis B patients.

References 


Articles referenced by this article (38)


Show 10 more references (10 of 38)

Citations & impact 


Impact metrics

Jump to Citations

Citations of article over time

Alternative metrics

Altmetric item for https://www.altmetric.com/details/4394601
Altmetric
Discover the attention surrounding your research
https://www.altmetric.com/details/4394601

Smart citations by scite.ai
Smart citations by scite.ai include citation statements extracted from the full text of the citing article. The number of the statements may be higher than the number of citations provided by EuropePMC if one paper cites another multiple times or lower if scite has not yet processed some of the citing articles.
Explore citation contexts and check if this article has been supported or disputed.
https://scite.ai/reports/10.1002/ijc.29802

Supporting
Mentioning
Contrasting
2
67
1

Article citations


Go to all (50) article citations

Funding 


Funders who supported this work.

Chang Gung Memorial Hospital, Taiwan (1)