Comprehensive Analysis of Immune Cell Infiltration of m6a-Related lncRNA in Lung Squamous Cell Carcinoma and Construction of Relevant Prognostic Models

Figure 6

Construction of a prognostic model for patients with LUSC. (a, b) A prognostic model for LUSC patients was constructed by lasso regression. (c, d) High-risk group had lower survival rate than low-risk group ((c) test group; (d) train group ). (e, f) Receiver-operating characteristics curve was used to predict the accuracy of the model ((e) test group ; (f) train group ). (g, h) Risk-related curve and risk-related spot plot indicate an increase in patient deaths with increasing risk score. Risk-related heat map indicates gene lower expression in high-risk group. This implies that these genes may be beneficial for the prognosis of LUSC patients ((g) test group; (h) train group). (i–l) Risk score can be used as an independent prognostic factor, in multivariate and univariate analyses. (i, j) Test group. (k, l) Train group. (i–k) Univariate analysis. (j–l) Multivariate analysis.

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