Table 1.
Stratified Cox regression analysis of ML, overall CNA, DNA burden, and dN/dS in different cancer groups
| OS | DFS | |||
| Variables (Set) | Βeta (SE) | P value | Βeta (SE) | P value |
| ML, all | −1.63 (1.16) | 0.1621 | −1.14 (1.00) | 0.2575 |
| ML, L | 3.48 (1.46) | 0.017 | 2.81 (0.89) | 0.0015 |
| ML, H | −4.79 (1.73) | 0.0057 | −4.18 (1.73) | 0.0155 |
| CNA, all | 0.9 (0.19) | 2e-6 | 1 (0.2) | 7.3e-7 |
| CNA, L | 1.98 (0.31) | 2e-9 | 1.35 (0.32) | 1.8e-5 |
| CNA, H | 0.27 (0.22) | 0.22 | 0.21 (0.25) | 0.39 |
| Burden, all | 0.48 (0.1) | 2.5e-6 | 0.37 (0.11) | 6.8e-4 |
| Burden, L | 1.17 (0.22) | 1.9e-7 | 0.86 (0.21) | 2.9e-5 |
| Burden, H | 0.14 (0.15) | 0.35 | −0.07(0.17) | 0.71 |
| dN/dS, all | −0.5 (0.4) | 0.21 | −0.12 (0.39) | 0.76 |
| dN/dS, L | −0.62 (0.55) | 0.26 | −0.54 (0.53) | 0.31 |
| dN/dS, H | 0.48 (0.58) | 0.41 | 1.08 (0.68) | 0.11 |
For each tested variable, the estimated scaling coefficient β (i.e., HR = eβ), its SE,and the corresponding P value of the stratified Cox regression model are shown for OS and DFS. Statistically significant trends are indicated by bold type. Cancer groups (L, H) correspond to the low-ML (#1–8) and high-ML (#16–23) cancer types (Fig. 1). In each test/group, variables are normalized to 0–1 and are stratified by the cancer type (Methods).