A model that estimates the likelihood of ovarian cancer with the best association with outcomes was developed with nine proteins (P38MAPK, RAB11, FOXO3A, AR, BETACATENIN, Sox2, IGFRb, AKT_pS473, and ERCC5) using a LASSO–Cox algorithm. This evidence concerns the gene SOX2 and ovarian cancer.