Table 1.
Demographics of the Study Subjects.
Figure 1.
Receiver Operating Characteristic curves for the nine most informative biomarkers with area underneath the curve values greater than 0.800.
Table 2.
Area Underneath the Curve (AUC) values from Receiver Operating Characteristic (ROC) curve analysis of the top 20 markers.
Figure 2.
Serum level distributions broken out by International Federation Of Gynecology And Obstetrics (FIGO) ovarian cancer stage for the nine most informative biomarkers with area underneath the curve values greater than 0.800.
The box boundaries represent the 25th and 75th percentiles, and the bar within the box represents the median value. The minimum and maximum values are represented by the extremes of the whiskers. ***, P-value<0.001; **, P-value 0.001-0.01; *, P-value 0.01–0.05; ns, P-value>0.05. Abbreviations: OvCa, ovarian cancer; Non-OvCa, non-ovarian cancer; CA, cancer antigen; IL, interleukin.
Figure 3.
Serum level distributions broken out by subtype of ovarian cancer stage for the nine most informative biomarkers with area underneath the curve values greater than 0.800.
The box boundaries represent the 25th and 75th percentiles, and the bar within the box represents the median value. The minimum and maximum values are represented by the extremes of the whiskers. ***, P-value<0.001; **, P-value 0.001–0.01; *, P-value 0.01-0.05; ns, P-value>0.05. Abbreviations: OvCa, ovarian cancer; Non-OvCa, non-ovarian cancer; CA, cancer antigen; IL, interleukin.
Figure 4.
Correlation matrix for biomarkers with area underneath the curve values greater than 0.600.
Hierarchical clustering was implemented with Pearson's correlation coefficients as the distance measure. Intense red and blue colors, signify strong positive and negative correlation, respectively.
Table 3.
Sensitivity at Landmark Threshold Specificity Values of Logistic Regression Models using the Nine Most Informative and OVA1 Biomarkers.
Table 4.
Specificity at Landmark Threshold Sensitivity Values of Logistic Regression Models using the Nine Most Informative and OVA1 Biomarkers.