Research Article

Autoantibodies against p53, MMP-7, and Hsp70 as Potential Biomarkers for Detection of Nonmelanoma Skin Cancers

Table 2

Diagnostic values for the individual autoantibodies and the autoantibody panel in NMSC.

AUCSENSPEPPVNPVPLRNLR

All stages of NMSC
p53 autoantibody0.799 (0.739-0.859)48.5%/40.6%90.2%/95.0%83.1%/89.2%63.8%/61.7%4.95/8.290.57/0.63
MMP-7 autoantibody0.621 (0.543-0.699)34.7%/31.7%91.2%/95.0%79.6%/86.5%58.5%/58.4%3.94/6.470.72/0.72
Hsp70 autoantibody0.719 (0.649-0.789)31.7%/29.7%93.1%/95.0%82.0%/85.7%57.9%/57.7%4.59/6.060.73/0.74
The autoantibody panel0.841 (0.788-0.894)60.4%/51.5%91.2%/95.0%87.2%/91.2%69.9%/66.4%6.86/10.510.43/0.51
Early-stage of NMSC
p53 autoantibody0.819 (0.754-0.885)49.3%/43.5%90.2%/95.0%77.3%/85.8%72.4%/70.3%5.03/8.880.56/0.59
MMP-7 autoantibody0.627 (0.536-0.718)37.7%/33.3%91.2%/95.0%74.4%/82.2%68.4%/67.8%4.28/6.800.68/0.70
Hsp70 autoantibody0.746 (0.673-0.820)31.9%/30.4%93.1%/95.0%75.8%/80.8%66.9%/66.8%4.62/6.200.73/0.73
The autoantibody panel0.851 (0.793-0.908)59.4%/52.2%91.2%/95.0%82.1%/87.8%76.8%/74.6%6.75/10.650.45/0.50
Skin squamous cell carcinoma
p53 autoantibody0.790 (0.719-0.860)47.8%/38.8%90.2%/95.0%76.2%/83.8%72.5%/70.3%4.88/7.920.58/0.64
MMP-7 autoantibody0.616 (0.524-0.708)34.3%/32.8%91.2%/95.0%71.8%/81.4%67.9%/68.3%3.90/6.690.72/0.71
Hsp70 autoantibody0.697 (0.616-0.777)28.4%/25.4%93.1%/95.0%73.0%/77.3%66.5%/66.0%4.12/5.180.77/0.78
The autoantibody panel0.826 (0.761-0.891)56.7%/49.3%91.2%/95.0%80.9%/86.8%76.3%/74.1%6.44/10.060.48/0.53
Skin basal cell carcinoma
p53 autoantibody0.818 (0.736-0.900)50.0%/44.1%90.2%/95.0%63.0%/85.5%84.4%/72.2%5.10/9.000.55/0.59
MMP-7 autoantibody0.631 (0.509-0.753)35.3%/29.4%91.2%/95.0%57.2%/79.7%80.9%/67.3%4.01/6.000.71/0.74
Hsp70 autoantibody0.763 (0.672-0.854)38.2%/38.2%93.1%/95.0%64.9%/83.6%81.9%/70.1%5.54/7.800.66/0.65
The autoantibody panel0.870 (0.803-0.937)67.6%/55.9%91.2%/95.0%71.9%/88.2%89.4%/76.7%7.68/11.410.35/0.46

Note: data after “/” were obtained at a specificity of 95.0%. NMSC: nonmelanoma skin cancer; AUC: the area under the receiver operating characteristic curve; SEN: sensitivity; SPE: specificity; PPV: positive predictive value; NPV: negative predictive value; PLR: positive likelihood ratio; NLR: negative likelihood ratio.