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. 2014 Dec 8;111(51):18249–18254. doi: 10.1073/pnas.1415120112

Table 1.

Potential location biomarkers

Gene name HPA Ab P value Accuracy
Location Expression
Breast
 SCRN2 HPA023434 0.24 0.95 0.69
 BTNL2 HPA039844 0.24 0.95 0.59
 PSTPIP2 HPA040944 0.28 0.95 0.58
 USP10 HPA006749 0.27 0.90 0.58
 NT5DC3 HPA041634 0.27 0.89 0.62
Liver
 SLC30A9 HPA004014 0.15 0.96 0.81
 METTL21A HPA034712 0.15 0.87 0.65
 C4orf22 HPA043383 0.19 0.92 0.65
 WDR24 HPA039506 0.16 0.85 0.67
 PARP12 HPA003584 0.22 0.94 0.78
Prostate
 RASGRF2 HPA018679 0.14 0.97 0.90
 ECE1 HPA001490 0.17 0.99 0.77
 FAM120A HPA019734 0.18 0.94 0.73
 PLA2G4C HPA043083 0.19 0.95 0.69
 TMEM194A HPA014394 0.13 0.85 0.79
Bladder
 TTC27 HPA031246 0.19 0.89 0.84
 FGFR1OP2 HPA038696 0.14 0.83 0.89
 TARS2 HPA028626 0.25 0.96 0.54
 STAC HPA035143 0.19 0.83 0.71
 — CAB009119 0.20 0.82 0.72

The five proteins with the greatest location change and the smallest expression change are shown (the full ranked list is in Dataset S1). Classification accuracies for distinguishing normal and cancer are also shown.