Construction and validation an autophagy and immune-related prognostic signature in breast cancer

Abstract Increasing evidence has revealed the association between autophagy and tumor microenvironment. However, reliable prognostic signatures based on a combination of autophagy and immune-relate genes have not been well-established. This study aimed to construct an autophagy and immune-related risk model to predict prognosis in patients with breast cancer (BC). The eleven genes (AIMP1, APOBEC3F, APOH, BCL3, CCL24, CCL5, CD14, CD74, CMTM4, CRHR1, DAXX) were identified to constructed an autophagy-immune-related prognostic risk model. High-risk patients had worse overall survival compared with low-risk patients. Receiver operating characteristic (ROC) curve analyses showed this model had a significant prognostic of survival. The nomogram yielded favorable performance to predict survival and risk stratification. Gene enrichment analysis (GSEA) identified immune and metabolism-related pathways enriched in the high-risk group. Moreover, the rate of immune infiltrating cells was higher in the low-risk group.