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. 2015 Aug 24;10(8):e0135739. doi: 10.1371/journal.pone.0135739

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.