MUC16 and cancer: Four of the models gave 92.9% sensitivity (95% CI 78.6–100) at 90.3% specificity, compared to MMT with 86.5% sensitivity (95% CI 78.4–91.9) at 89.5% specificity, PEB with 88.5% sensitivity (95% CI 80.6–93.4) at 89.5% specificity, and ROCA with 87.1% sensitivity at 87.6% specificity.18,21 The best model (CA125{3}AGR2{3}CHI3L1{3}) also substantially outperformed these serial CA125 algorithms at 1–2 years to diagnosis, with a sensitivity of 37.5% versus 23.3% for MMT and 26.7% for PEB,21 detecting cancers earlier.