摘要
Objective:To identify prognostic biomarkers in breast cancer(BRCA)associated with inflammation.Materials andmethods:WGCNA was used to identify prognostic biomarkers in BRCA based on TCGA-BRCA and GSE70947 datasets.GO and KEGG exploration was made to analyze the specific mechanisms of interest genes.Results:There were 9 modules in TCGA-BRCA and 19 modules in the GSE70947 constructed and 639 overlapping genes extracted.There were ten genes recognized as hub genes,SAA1 and CXCL2 were identified as key genes.Furthermore,we found that SAA1 and CXCL2 were positively related to the levels of tumor-infiltrating immune cells in BRCA with TIMER.Conclusions:SAA1 and CXCL2 is highly correlated with BRCA and its prognosis was greatly related to TIICs.
