Identification of an Amino Acid Metabolism Signature Participating in Immunosuppression in Ovarian Cancer

Figure 1

PCA clustering and risk score construction using LASSO (a) The mutual correlations of the genes that passed the univariate cox analysis. (b) The PCA clustering of the patients based on the genes in Figure 1(a). (c) The Kaplan–Meier curves show the ability of the PCA clusters 1 and 2 in separating patient overall survival rate. (d) LASSO coefficients profiles. (e) LASSO deviance profile for selecting the best numbers of parameters. (f): Coefficients of the retained predictors. (g) Kaplan–Meier curve shows the survival prediction ability of the risk score. (h) ROC presents the predictive accuracy of 1-, 3- , 5-year overall survival of the risk score. (i) Comparison of the survival predictive accuracy between risk score, PCA cluster, and age. PCA, principal component analysis; LASSO, the least absolute shrinkage and selection operator; ROC, receiver operating characteristic curve.

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