Toll-like receptor 7 mRNA is reduced in hepatitis C-based liver cirrhosis and hepatocellular carcinoma, out-performs alpha-fetoprotein levels, and with age and serum aspartate aminotransferase is a new diagnostic index

Background Hepatitis B and C viruses are leading causes of liver cirrhosis and hepatocellular carcinoma (HCC). Toll-like receptor 7 (TLR-7) has been implicated in the pathogenesis of HCC linked to hepatitis B. We hypothesised a role of leukocyte TLR-7 mRNA in hepatitis C related liver cirrhosis and HCC, using alpha-fetoprotein (AFP) and liver function tests as comparators. Methods We recruited 102 patients with HCV-related HCC, 97 with HCV-related liver cirrhosis and 60 healthy controls. Quantification of TLR-7 mRNA was performed using real-time PCR, AFP and routine LFTs by standard techniques. Results TLR-7 mRNA levels were significantly lower in HCC patients compared to cirrhotic patients and lower again in healthy controls (p < 0.001 for trend). In multivariate analysis, age, aspartate transaminase (AST), AFP, and TLR-7 mRNA were significant predictors of HCC. The ROCC/AUC for age, AST and TLR-7 mRNA were all between 0.64 and 0.78 (allP< 0.01), but for AFP was 0.57 (95% CI 0.48-0.65,P= 0.09). We derived an index score using age, AST and TLR-7 mRNA for the diagnosis of HCC. The ROCC/AUC for the index was superior to all three root indices in the prediction of HCC. The index linked significantly with the Tokyo and Vienna liver cancer staging systems, but not with those of the CLIP and Okuda systems, in distinguishing HCC from liver cirrhosis. Conclusion The combination of TLR-7 mRNA levels with age and AST improves the performance of TLR-7 in HCC diagnosis, out-performs alpha-fetoprotein and predicts early HCC.

Automated summary

TLR-7 mRNA levels perform better than AFP in HCC diagnosis, and the combination of age and AST can improve the performance of TLR-7, predicting early HCC. The index score derived from age, AST, and TLR-7 mRNA is superior in predicting HCC and correlated with certain liver cancer staging systems.