Subtype-specific risk models for accurately predicting the prognosis of breast cancer using differentially expressed autophagy-related genes

Baoai Han; He Zhang; Yuying Zhu; Xingxing Han; Zhiyong Wang; Zicong Gao; Yue Yuan; Ruinan Tian; Fei Zhang; Ruifang Niu

doi:doi:10.18632/aging.103437

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Research Paper Volume 12, Issue 13 pp 13318—13337

Subtype-specific risk models for accurately predicting the prognosis of breast cancer using differentially expressed autophagy-related genes

Figure 8. Kaplan-Meier analyses of ARGs in subtype-specific prognosis models. (A) Kaplan-Meier analyses of BIRC5, PARP1, ATG9B and TP63 in Luminal BRCA. (B) Kaplan-Meier analyses of ITPR1, CCL2 and GAPHD in Her-2 BRCA. (C) Kaplan-Meier analyses of PRKN, FOS, BAX, INFG and EIF4EBP1 in Basal-like BRCA. The statistical significance was determined by Log-rank test. The dashed lines represent 95% confidence interval.