The invention relates to a the field of biomedicine, and specifically relates to a model for predicting prognosis of lung squamous cell carcinoma with seven genes as biomarkers, and an establishing method thereof. The model for predicting prognosis of lung squamous cell carcinoma includes seven genes related to prognosis of lung squamous cell carcinoma: CSRNP1, CLEC18B, MIR27A, AC130456.4, DEFA6,ARL14EPL and ZFP42, wherein expressions of CSRNP1 and CLEC18B are positively correlated with a survival rate while expressions of MIR27A, AC130456.4, DEFA6, ARL14EPL and ZFP42 are negatively correlated with the survival rate. The model for predicting prognosis of lung squamous cell carcinoma provides a plurality of genes as biomarkers, and improves the prognosis sensitivity and accuracy for predicting lung squamous cell carcinoma, thereby reducing mortality and local recurrence rate in patients with lung squamous cell carcinoma, and improving the prognosis of patients through the risk prediction model.