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 9. Analysis of the protein expression of ARGs in subtype-specific prognostic models by HPA. (A–H) The protein expression of PARP1, GAPDH, FOS, TP63, PRKN, CCL2, BAX and EIF4EBP were determined by immunohistochemistry using indicated antibodies in HPA database, the staining strengths were annotated as Not detected, Low, Medium and High. The bar plots indicating the number of samples with different staining strength in HPA database.