Table 2 Performance of logistic regression models of single and multiple candidate biomarkers according to time to diagnosis
From: Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples
Time group (years) | Best single marker | AUC of best marker | Best combination (powers for 9 parameters, i1:i9) | AUC of best combination | P -value for AUC | Sens for best combination (Spec>0.95) |
|---|---|---|---|---|---|---|
0–5 (All) | HSP90A | 0.529 | (−2; 2; −2; −2; 0; 1; −2; −2; −2) | 0.56 | 0.224 | 0.096 |
0–1.15 | SLPI | 0.533 | (1; −1; 2; −2; 0; 2; −2; 1; 2) | 0.573 | 0.203 | 0.083 |
1.15–5 | PAPPA | 0.559 | (1; 1; −1; −1; 2; 1; 1; 1; −1) | 0.593 | 0.208 | 0.042 |
0–0.5 | IGFBP3 | 0.605 | (2; 1; −2; −2; 2; −2; 2; 2; 2) | 0.686 | 0.047 | 0.179 |
0.5–1 | APOC1 | 0.601 | (0; 1; 2; −1; 1; −1; −2; −2; 2) | 0.752 | 0.007 | 0.189 |
1–2 | RANTES | 0.572 | (−2; 2; −2; 2; 2; −1; −2; −1; 2) | 0.675 | 0.08 | 0.14 |
2–3 | RANTES | 0.669 | (−2; 2; −1; 2; 1; 2; −2; −2; 1) | 0.781 | 0.048 | 0.257 |
3–5 | APOC1 | 0.685 | (−1; −2; −2; −2; 1; 1; 1; 2; −2) | 0.785 | 0.06 | 0.216 |
