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. 2017 Apr 21;8(27):44096–44107. doi: 10.18632/oncotarget.17307

Table 2. Expression and diagnostic value of specific circRNAs in breast cancer.

CircRNAs Expressiona t P AUC (95% CI) Sensitivity (95% CI) Specificity (95% CI) Cut-off valueb
Breast cancer Adjacent tissues
hsa_circ_103110 8.79±1.86 9.62±1.63 2.49 0.016 0.63 (0.52–0.74) 0.63 (0.48–0.76) 0.63 (0.48–0.76) 8.97
hsa_circ_104689 7.66±1.48 8.31±1.57 2.09 0.041 0.61 (0.50–0.73) 0.57 (0.42–0.71) 0.55 (0.40–0.69) 7.67
hsa_circ_104821 6.07±1.55 6.52±1.68 2.22 0.031 0.60 (0.49–0.71) 0.57 (0.42–0.71) 0.57 (0.42–0.71) 6.04
hsa_circ_006054 15.66±1.82 14.29±1.75 4.30 <0.001c 0.71 (0.61–0.81) 0.65 (0.50–0.78) 0.69 (0.54–0.81) 14.84
hsa_circ_100219 10.13±1.58 8.53±1.43 5.70 <0.001c 0.78 (0.69–0.88) 0.69 (0.54–0.81) 0.71 (0.56–0.83) 8.95
hsa_circ_406697 14.85±2.27 13.96±1.68 2.76 0.008c 0.64 (0.52–0.75) 0.63 (0.48–0.76) 0.63 (0.48–0.76) 14.24

a: The expression of each circRNA was calculated from the ΔCt and expressed as mean±standard deviation; b: We used the median as the cut-off value; c: Significant after Bonferroni correction (P<0.008); AUC: area under the curve; CI: confidence interval.