Construction method of prognosis risk assessment model for liver cancer patient

The invention discloses a construction method of a prognosis risk assessment model for a liver cancer patient, and belongs to the technical field of cancer prognosis risk assessment. The construction method of the prognosis risk assessment model for the liver cancer patient comprises the following steps: acquiring correlation data of TNFRSF4 expression level and survival of the liver cancer patient; evaluating immune infiltration difference data of high and low expression of TNFRSF4 in the liver cancer tissue sample; obtaining a gene co-expression module related to high and low expression of TNFRSF4; and screening out IRGs significantly affecting survival prognosis of the liver cancer patient by using LASSO regression analysis, and calculating a risk score of each sample, thereby obtaining the prognosis risk assessment model for the liver cancer patient. The evaluation model can determine that the single gene TNFRSF4 is an independent index for clinical prognosis of the liver cancer through a machine learning