Skip to main content
. 2022 Apr 18;14(8):2045. doi: 10.3390/cancers14082045

Table 3.

Univariate and multivariate Cox regression analyses of the 7-Gene Algorithm and clinicopathological factors for prediction of progression-free survival (PFS) in the MSK cohort (n = 471) and the TCGA cohort (n = 191).

Univariate Multivariate
HR (95% CI) p Value HR (95% CI) p Value
Prediction of PFS in the MSK Cohort (n = 471)
7-Gene Algorithm 7.5 (3.5–15.9) <0.0001 8.9 (4.0–20.1) <0.0001
Cancer stage 1.3 (0.9–1.9) 0.128 1.1 (0.7–1.5) 0.755
Adjuvant therapies 1.1 (0.8–1.3) 0.877 1.1 (0.8–1.4) 0.536
Surgery on primary tumor 0.8 (0–1.0) 0.013 0.7 (0–0.9) 0.002
MSI 0.7 (0.5–1.1) 0.097 0.6 (0–0.9) 0.009
Prediction of PFS in the TCGA Cohort (n = 191)
7-Gene Algorithm 16.9 (7.2–39.6) <0.0001 16.9 (7.2–39.7) <0.0001
Cancer stage 1.2 (0.5–2.7) 0.723 1.3 (0.6–3.1) 0.539
Adjuvant therapies 3.0 × 10−7 (0-Inf) 0.997 1.7 × 10−6 (0-Inf) 0.996

HR: hazard ratio; CI: confidence interval; MSI: microsatellite instability.