Abstract:BackgroundDue to the lack of predictors, high mortality and poor prognosis have always been a serious threat to the breast cancer (BC) patients. Accumulating studies have shown that molecular markers which affect the tumor microenvironment (TME) play an important role in the development of cancer. Here, we aim to use machine learning to identify a new prognostic gene signature and independent prognostic factors related to BC survival through comprehensive bioinformatics analysis.Results This 6-mRNA signature-b… Show more
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