Prediction of hepatocellular carcinoma development after hepatitis C virus eradication using serum wisteria floribunda agglutinin-positive Mac-2-binding protein

30Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

Abstract

We aimed to clarify the association between a novel serum fibrosis marker,Wisteria floribunda agglutinin-positive Mac-2-binding protein (WFA+-M2BP), and hepatocellular carcinoma (HCC) development in 355 patients with chronic hepatitis C who achieved sustained virologic response (SVR) through interferon-based antiviral therapy. Pretreatment serum WFA+-M2BP levels were quantified and the hazard ratios (HRs) for HCC development were retrospectively analyzed by Cox proportional hazard analysis. During the median follow-up time of 2.9 years, 12 patients developed HCC. Multivariate analysis demonstrated that high serum WFA+-M2BP (≥2.80 cut off index (COI), HR = 15.20, p = 0.013) and high fibrosis-4 (FIB-4) index (≥3.7, HR = 5.62, p = 0.034) were independent risk factors for HCC development. The three-and five-year cumulative incidence of HCC in patients with low WFA+-M2BP were 0.4% and 0.4%, respectively, whereas those of patients with high WFA+-M2BP were 7.7% and 17.6%, respectively (p < 0.001). In addition, combination of serum WFA+-M2BP and FIB-4 indices successfully stratified the risk of HCC: the five-year cumulative incidences of HCC were 26.9%, 6.8%, and 0.0% in patients with both, either, and none of these risk factors, respectively (p < 0.001). In conclusion, pretreatment serum WFA+-M2BP level is a useful predictor for HCC development after achieving SVR.

Cite

CITATION STYLE

APA

Sato, S., Genda, T., Ichida, T., Amano, N., Sato, S., Murata, A., … Watanabe, S. (2016). Prediction of hepatocellular carcinoma development after hepatitis C virus eradication using serum wisteria floribunda agglutinin-positive Mac-2-binding protein. International Journal of Molecular Sciences, 17(12). https://doi.org/10.3390/ijms17122143

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free