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Fig. 2 | Journal of Ovarian Research

Fig. 2

From: A Novel pyroptosis-related signature for predicting prognosis and evaluating tumor immune microenvironment in ovarian cancer

Fig. 2

Construction of an ovarian cancer (OV) prognostic signature based on the pyroptosis-related genes (PRGs). (A) The λ selection plot of the 10-fold cross-validation for the LASSO tuning parameter selection. (B) The LASSO-Cox analysis for the optimal prognostic PRGs, including MIA2, XRCC2, NRAS, ALPL, TRPV4, RYR1, EXOC6B, SETBP1, CITED2, and IGF2. (C) The forest plot represented the prognostic ability of the ten optimal PRLs, which were analyzed through the Cox Regression algorithm. (D) The heatmap for the relationship among the six prognostic PRGs, namely CITED2, EXOC6B, MIA2, NRAS, SETBP1, and TRPV4. The color scale represented different correlation coefficients (red for negative relationship and blue for positive relationship). (E) The expression distribution of the six prognostic PRGs in normal tissues and OV tissues. (F) The Kaplan-Meier (K-M) survival curves of the six prognostic PRLs.

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