No single cell surface protein alone could correctly classify patients. However, using multiple logistic regression, six genes whose expression could be detected by flow cytometry (CLEC7A, STRA6, TMPRSS11E, CD27, GPR176, TK1, LPXN) together predicted carfilzomib responsiveness with an AUC of 0.77. Independent validation of these genes by RNA-Seq in the CoMMpass dataset showed that they could predict carfilzomib responsiveness with an AUC of 0.803 (Figure 1A). Indeed, survival for those patients who were predicted to be carfilzomib-responsive by our potential flow panel was significantly higher than those predicted to be resistant (median 34 months vs 15months ; p= 0.0032), figure 1B.