Identifying the Best Marker Combination in CEA, CA125, CY211, NSE, and SCC for Lung Cancer Screening by Combining ROC Curve and Logistic Regression Analyses: Is It Feasible?

Table 3

Values of various combinations of markers for lung cancer screening in healthy subjects.

	SEN	SPE	PPV	NPV	+LR	−LR	Yden	AUC
CEA + CA125^▲	0.755	0.791	0.746	0.799	3.614	0.310	0.546	0.863
CEA + CY211	0.761	0.718	0.687	0.788	2.700	0.332	0.479	0.848
CEA + NSE	0.701	0.794	0.734	0.766	3.398	0.376	0.495	0.839
CEA + SCC	0.665	0.833	0.764	0.754	3.991	0.402	0.498	0.835
CA125 + CY211	0.698	0.756	0.699	0.755	2.867	0.399	0.455	0.791
CA125 + NSE	0.621	0.833	0.751	0.730	3.725	0.455	0.454	0.762
CA125 + SCC	0.602	0.873	0.794	0.730	4.742	0.456	0.475	0.774
CY211 + NSE	0.618	0.742	0.660	0.705	2.397	0.515	0.360	0.725
CY211 + SCC	0.578	0.787	0.688	0.697	2.717	0.536	0.365	0.718
NSE + SCC	0.422	0.865	0.718	0.648	3.133	0.668	0.287	0.645
CEA + CA125 + CY211	0.823	0.656	0.660	0.821	2.395	0.270	0.479	0.866
CEA + CA125 + NSE	0.795	0.727	0.703	0.813	2.910	0.283	0.522	0.864
CEA + CA125 + SCC	0.779	0.759	0.724	0.809	3.231	0.291	0.538	0.864
CA125 + CY211 + NSE	0.752	0.687	0.661	0.773	2.404	0.361	0.439	0.791
CA125 + CY211 + SCC	0.724	0.723	0.680	0.763	2.613	0.382	0.447	0.793
CA125 + NSE + SCC	0.671	0.792	0.724	0.748	3.233	0.415	0.464	0.775
CEA + CY211 + NSE	0.798	0.655	0.652	0.800	2.313	0.309	0.453	0.850
CEA + CY211 + SCC	0.777	0.690	0.670	0.792	2.505	0.323	0.467	0.848
CEA + NSE + SCC	0.735	0.762	0.714	0.780	3.081	0.349	0.496	0.842
CY211 + NSE + SCC	0.646	0.709	0.643	0.712	2.220	0.499	0.355	0.727
CEA + CA125 + CY211 + NSE	0.852	0.603	0.635	0.833	2.142	0.246	0.454	0.867
CA125 + CY211 + NSE + SCC	0.766	0.655	0.643	0.775	2.222	0.357	0.421	0.794
CEA + CA125 + NSE + SCC	0.814	0.696	0.685	0.821	2.678	0.268	0.510	0.866
CEA + CA125 + CY211 + SCC	0.833	0.629	0.646	0.822	2.247	0.266	0.462	0.867
CEA + CY211 + NSE + SCC	0.810	0.628	0.639	0.803	2.180	0.302	0.439	0.851
CEA + CA125 + CY211 + NSE + SCC^★	0.858	0.577	0.622	0.833	2.028	0.246	0.435	0.868