In the TCGA-BRCA dataset, Lasso-penalized Cox regression analysis and stepwise multivariate Cox regression analysis were conducted in turn to screen hub genes from the above differently expressed RBPs, that might be prognostic signature for overall survival (OS) and/or disease-free survival (DFS) in breast cancer patients. Then, the candidate genes derived from Cox regression analysis were submitted to assess their prognostic significance for survival of patients, who were grouped by the Youden index of candidate mRNA expression pattern into high- or low-expression set. Only if the candidate is significantly in both the TCGA-BRCA and METABRIC datasets, would be considered as a hub gene for further study.

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