Fig. 1

Establish the prognostic-related risks core model comprised of five mRNA genes. (A) Univariate Cox regression analysis was to screen potential autophagy genes related to prognosis.red scale: upregulated genes; green scale: downregulated genes. (B) Validate selected autophagy genes expression in the normal group(N) and tumor group(T). (C) LASSO regression filtering out the most representative five hub autophagy genes. The down horizontal axis represented the model coefficient ratio(lambda), and the upper one represented variables numbers. The vertical axis represented the coefficient. Each colored solid line represented a gene variable coefficient. A vertical dashed line was drawn based on the horizontal axis at lambda.1se, as D. At lambda.1se, the vertical dashed line only intersected with five colored solid lines. It was indicated that five crucial genes were selected to be the most significant impact factors on prognosis. (D) tenfold cross-validation was to identify the minimal lambda and its 1-standard error away(1-se) with the least core autophagy genes. The data set were divided into ten parts, alternately 9 parts as training data and 1 part as test data. Left vertical dashed line: at minimal lambda 0.01053932; Right vertical dashed line: at 1-se minimal lambda 0.03532362. (E) The survival rate comparison between high risk score and low-risk risk score patients. (F) The risk plot for high risk score and low risk score patients. Vertical dashed line is the boundary of both group patients