Table 1.
Patient characteristics of the Canary PASS cohort and MDACC Validation Cohort
| Variable | Canary PASS | MDACC Set #1 | MDACC Set #2 | P-value comparing Canary PASS and MDACC Set #1** |
|---|---|---|---|---|
| N | 544 | 238 | 459 | 459 |
| Age, yrs (median, IQR) | 67 (58–70) | 63 (58–68) | 63 (58–69 | 0.18 |
| PSA Density (median, IQR) | 0.086 (0.069–0.15) | 0.10 (0.06–0.15) | 0.09 (0.06–0.14) | 0.98 |
| Highest Gleason Grade Group, diagnostic or confirmatory biopsy (N, %) | ||||
| 1 | 467 (85.8) | 204 (90.0) | 401 (87.4) | 0.02 |
| 2 | 74 (13.6) | 27 (11.3) | 53 (11.5) | |
| 3 | 3 (< 1) | 7 (2.9) | 5 (1.1) | |
| Percentage of positive cores at diagnosis (median, IQR) | 10.0 (8.3–16.7) | 9.1 (8.3–16.7) | 9.1 (8.3–16.7) | 0.18 |
| BMI (median, IQR) | 26.9 (24.7–31.0) | 29.1 (26.3–32.6) | 28.6 (26.1–31.6) | < 0.01 |
| Race | ||||
| White | 477 (87.7) | 198 (83.2) | 376 (81.9) | 0.049 |
| Black | 38 (7.0) | 15 (6.3) | 36 (7.8) | |
| Other/Unknown | 29 (5.3) | 25 (10.5) | 47 (10.2) | |
| Statin (N, %) | ||||
| Yes | 238 (43.8) | 117 (49.2) | 217 (47.3) | 0.18 |
| No | 306 (56.3) | 121 (50.8) | 242 (52.7) | |
| Diabetes (N,%)* | ||||
| Yes | 48 (8.8%) | |||
| No | 496 (91.2%) | |||
| Follow-up, yrs (median, IQR) | 2.1 (1.4–4.5) | 3.5 (1.0-5.1) | 3.0 (1.0-4.5) | < 0.01 |
| Total biopsy number, excluding diagnostic (median, IQR) | 2 (1–2) | 2 (1–3) | 2 (2–3) | < 0.01 |
| Gleason grade group upgrade (any) during follow-up (N, %) | ||||
| Yes | 98 (18.0) | 33 (13.9) | 98 (21.4) | 0.10 |
| No | 446 (82) | 215 (90.3) | 361 (78.6) | |
| Gleason grade group upgrade (GG3 or higher) during follow-up (N, %) | ||||
| Yes | 39 (7.2) | 7 (2.9) | 35 (7.6) | 0.02 |
| No | 505 (92.8) | 231 (97.1) | 424 (92.4) |
*Baseline diabetes status not available for MDACC cohorts
**These cohorts compared as MDACC Set #1 was first evaluated using cut points established in Canary PASS as it is independent from previously reported patient data (MDACC Set #2; Vykoukal et al. Nat Commun 2020). Categorical variables were compared using Fisher’s Exact Test for two-class comparisons and χ2 tests for trends if more than two class comparison. Continuous variables were compared using Student T-test or Wilcoxon Rank Sum Tests depending on data normality