Roles of the Immune/Methylation/Autophagy Landscape on Single-Cell Genotypes and Stroke Risk in Breast Cancer Microenvironment

Figure 6

Construction and verification of a breast cancer PFS nomogram prediction model based on the clinical cohort. (a) Forest plot of multivariate Cox regression analysis showing the PFS-related values of BCRRS. (b) K-M curves of PFS survival as per BCRRS groups in the clinical cohort. (c) Distribution of BCRRS in the clinical cohort. Top panel: classification of patients into different groups based on the BCRRS scores. Bottom panel: distribution of patients’ status and PFS time. (d) Relative level of BCRRS in patients with and without stroke history after breast cancer. Significant differences were observed (). (e) A nomogram prediction model for the prognosis of PFS in breast cancer. Age, T, N, grade, and log_riskScore (BCRRS) were included. (f) Plots showing the calibration of nomograms based on the breast cancer OS nomogram prediction model. (g) ROC analysis was used to validate the predictive ability of the breast cancer PFS nomogram model based on the clinical cohort. (h) Decision curve analyses of the breast cancer PFS nomogram model based on the clinical cohort.

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