Fig. 2

Predicted proteins able to discriminate between chemoresistant and chemosensitive patients. A Graphical abstract of the patient groups included in the verification cohort. B Frequency plot representing the number of times a protein combination was selected over 500 iterations. C Targeted proteomic profiles (fragment extracted ion chromatograms) corresponding to the endogenous peptides and their internal standards for proteins TKT, LAMC1 and FUCO. D Receiver operating curves corresponding to the predictor formed by the combination of proteins TKT + LAMC1 + FUCO and clinical parameters including age, menopausal status, CA125 levels at diagnosis and decision to treat with either primary cytoreductive surgery or neoadjuvant chemotherapy. The protein combination TKT + LAMC1 + FUCO (AUC from 0.76; 95% CI 0.64–0.87) in combination with clinical data (AUC 0.75; 95% CI 0.63–0.88) increased the AUC value to 0.82 (95% CI 0.72–0.92), p = 0.09. E Workflow of the HGSC-1LTR strategy. Identification of chemoresistance can facilitate the study of alternative treatments to improve patient outcome. Patients classified as chemosensitive could undergo the standard of care with platinum-based agents