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.