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Table 2 Accuracy rates of individual selected genes and aggregated modelsa

From: A seven-gene CpG-island methylation panel predicts breast cancer progression

Model Sensitivity Specificity Positive predictive value Negative predictive value Area under the ROC curve
All 7 genesb 0.93 1.00 1.00 0.93 0.97
BRCA1c 0.74 0.74 0.74 0.74 0.87
DAPK1c 0.79 0.84 0.83 0.80 0.89
MSH2c 0.74 0.84 0.83 0.76 0.89
CDKN2Ac 0.68 0.53 0.59 0.63 0.76
PGRc 0.74 0.58 0.64 0.69 0.77
PRKCDBPc 0.63 0.68 0.67 0.65 0.80
RANKLc 0.68 0.68 0.68 0.68 0.75
  1. a:comprehensive accuracy rates and individual parameters are listed
  2. b: global contribution of all selected genes was assessed using JMP Genomics software
  3. c: individual gene contributions were assessed using R statistics