Abstract： AIM To assess the value of dynamic monitoring of biochemical and coagulant indexes in the disease evaluation and prognosis judgment of liver cancer with liver cirrhosis. METHODS Eighty-six liver cancer patients with liver cirrhosis treated at the Linhai Second People Hospital from January 2012 to June 2015 were selected and divided into early (n =18), middle (n = 24), and late (n = 44) groups according to different clinical stages. Fifty healthy volunteers were selected as a control group. Biochemical indexes, coagulant indexes, and serum Wnt3a in different groups were detected with a Roche 501 automatic biochemical analyzer, an STAGO automatic coagulation analyzer, and by enzyme linked immunosorbent assay, respectively. After discharge, the patients were followed to analyze the relationship of the biochemical, coagulation indexes, and serum Wnt3a concentration with the prognosis. RESULTS The control group had the highest serum protein and fibrinogen, followed by the early group, middle group, and late group. The control group had the lowest enzymes, prothrombin time, activated partial thromboplastin time, thrombin time, and D-dimer, followed by the early group, middle group, and late group. After two years, 22 cases survived and 64 cases died. Serum protein in the death group was significantly lower than that in the survival group, but the enzymes were significantly higher than those in the survival group (P ＜ 0.05). In the death group, PT, APTT, TT, D-dimer, and serum Wnt3a were significantly higher than those in the survival group, but FIB in the survival group was significantly lower than that in the survival group (P ＜ 0.05). Single-factor analysis and Logistic regression analysis showed that the risk factors affecting the prognosis of liver cirrhosis patients were Child-Pugh classification, clinical stage, and serum Wnt3a concentration (P ＜ 0.05). CONCLUSION There are different degrees of changes in biochemical/coagulation indexes and serum Wnt3a concentration in patients with different severity of liver cancer with liver cirrhosis, and dynamic detection of these indicators can help effectively evaluate the disease and predict the prognosis.