Literature DB >> 21098710

Serum microRNA profiles serve as novel biomarkers for HBV infection and diagnosis of HBV-positive hepatocarcinoma.

Li-Min Li1, Zhi-Bin Hu, Zhen-Xian Zhou, Xi Chen, Fen-Yong Liu, Jun-Feng Zhang, Hong-Bing Shen, Chen-Yu Zhang, Ke Zen.   

Abstract

Diagnosis of hepatitis B virus (HBV)-positive hepatocellular carcinoma (HCC), particularly HCC independent of cirrhosis etiology, presents a great challenge because of a lack of biomarkers. Here we test the hypothesis that expression profiles of microRNAs (miRNAs) in serum can serve as biomarkers for diagnosis of HBV infection and HBV-positive HCC. We recruited 513 subjects (210 controls and 135 HBV-, 48 hepatitis C virus (HCV)-, and 120 HCC-affected individuals) and employed a strategy of initial screening by Solexa sequencing followed by validation with TaqMan probe-based quantitative reverse transcription-PCR assay. First, because of a close link between chronic hepatitis B and HCC, we compared miRNA expression profiles in HBV serum with that in control serum and successfully obtained 13 miRNAs that were differentially expressed in HBV serum. This 13-miRNA-based biomarker accurately discriminated not only HBV cases from controls and HCV cases, but also HBV-positive HCC cases from control and HBV cases. Second, we directly compared miRNA expressions in HCC serum with those in controls and identified 6 miRNAs that were significantly upregulated in HCC samples. Interestingly, 2 of these miRNAs, miR-375 and miR-92a, were also identified by our first approach as HBV specific. When we employed 3 of these miRNAs (miR-25, miR-375, and let-7f) as biomarkers, we could clearly separate HCC cases from controls, and miR-375 alone had an ROC of 0.96 (specificity: 96%; sensitivity: 100%) in HCC prediction. In conclusion, our study demonstrates for the first time that serum miRNA profiles can serve as novel and noninvasive biomarkers for HBV infection and HBV-positive HCC diagnosis.

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Year:  2010        PMID: 21098710     DOI: 10.1158/0008-5472.CAN-10-1001

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  219 in total

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