Table 2. Cox regression analysis for selected SNPs in key oxidants and antioxidants genes in ovarian cancer.
Variables in the Equation | ||||
95% CI for HR | ||||
Significance | HR | Lower | Upper | |
Age at Diagnosis > Mean | .045* | 2.782* | 1.022 | 7.578 |
CAT (CT+TT) | .028* | 3.688* | 1.149 | 11.836 |
Variables Analyzed by Cox Regression but Rejected by the Model. | ||||
Score | Significance | |||
Race (Caucasian) | .580 | .446 | ||
Stage (III-IV) | .708 | .400 | ||
Grade (High) | .708 | .400 | ||
GSR (CT+TT) | .411 | .522 | ||
GPX (CT+TT) | .000 | .988 | ||
MnSOD (CT+TT) | 1.020 | .312 | ||
NOS2 (CT+TT) | 2.084 | .149 | ||
CYBA (CT+TT) | 1.229 | .268 | ||
MPO (CT+TT) | .178 | .673 | ||
Histology (Serous) | 1.016 | .314 |
Adjusted Hazard Ratio (HR) for the variables included in the model.
* p<0.05, degrees of freedom = 1 for all analyses. CYBA; NAD(P)H oxidase subunit (NOX4), GPX; glutathione peroxidase, GSR; glutathione reductase, MnSOD; manganese superoxide dismutase, MPO; myeloperoxidase, NOS2; inducible nitric oxide synthase. For this analysis, several “Method”simulations were performed such as: forced entry (ENTER), forward LR (likelihood ratio), etc. The forward LR was chosen for the final analysis. Table 4 includes the strongest predictors kept by the model as well as those rejected by the model. The Cox regression model generated the scores in the table. The P-values are noted in the column significance; *p<0.05, is considered statistically significant.