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Multivariate modeling of biomarker candidates that correlate significantly with overall survival in univariate analysis. Results of multivariate Cox regression (A). The significantly independent features of the multivariate Cox regression have been used to compute a combinatorial predictive biomarker model (B). *P<0.05, **p<0.01. BL, baseline; FU, follow up; LDH, lactate dehydrogenase; M-MDSC, monocytic myeloid-derived suppressor cell.
