Concentration and Methylation of Cell-Free DNA from Blood Plasma as Diagnostic Markers of Renal Cancer

Table 5

Receiver-operating characteristic (ROC) curve analyses of cfDNA marker-based models to discriminate between healthy persons () and renal cancer patients ().

	AUC	Std. error	value	95% LCL	95% UCL
Conc_qPCR	0.80494	0.06771	0.00119	0.67223	0.93765
Conc_qPCR+APC	0.91852	0.04205	8.61E − 06	0.8361	1.00094
Conc_qPCR+FHIT	0.91358	0.04898	1.10E − 05	0.81759	1.00957
Conc_qPCR+RASSF1	0.88148	0.05986	5.00E − 05	0.76416	0.99881
Conc_qPCR+ APC+RASSF1	1	0	1.06E − 07	1	1
Conc_qPCR+APC+FHIT	0.95802	0.03018	1.12E − 06	0.89888	1.01717
Conc_qPCR+RASSF1A+FHIT	0.94568	0.04521	2.16E − 06	0.85708	1.03428
Conc_qPCR+APC+FHIT+RASSF1	1	0	1.06E − 07	1	1

Calculated by binary logistic regression using combination of different markers: concentration of cfDNA determined by qPCR (Conc_qPCR) and methylation marker genes (APC, FHIT, and RASSF1).