Table 3

Receiver operator characteristic (ROC) curve analysis of OSCC-associated salivary mRNA biomarkers

BiomarkerArea under ROC curveThreshold/cutoff (M)Sensitivity (%)Specificity (%)Selected references
DUSP1 0.658.35E-175975 35
H3F3A 0.681.58E-155381 55
IL1B 0.704.34E-166372 45
IL8 0.853.19E-188881 56
OAZ1 0.697.42E-1710038 38
S100P 0.712.11E-157263 41
SAT 0.701.56E-158156 36
  • NOTE. Utilizing the qPCR results, we conducted ROC curve analyses to evaluate the predictive power of each of the biomarkers. The optimal cutpoint was determined yielding the maximum corresponding sensitivity and specificity. The biomarker that has the largest area under the ROC curve was identified as having the strongest predictive power for detecting OSCC.