Human Plasma Levels of Vascular Endothelial Growth Factor, Matrix Metalloproteinase 9, and Tissue Inhibitor of Matrix Metalloproteinase 1 and Their Applicability as Tumor Markers in Diagnoses of Cervical Cancer Based on ROC Analysis

Cervical cancer (CC) remains a major diagnostic problem. The introduction of human papillomavirus vaccination significantly reduced the number of new cases; however, the search for new methods that would earlier indicate the development of cancerous changes is vital. The aim of this study was to investigate the diagnostic power of those parameters in comparison to Cancer Antigen 125 (CA 125) and Squamous Cell Carcinoma Antigen (SCC-Ag) in patients with CC and in relation to the control group. The study included 100 patients with CC and 50 healthy women. Plasma levels of tested parameters were determined by enzyme-linked immunosorbent assay, CA 125, and SCC-Ag by chemiluminescent microparticle immunoassay. Plasma levels of all parameters in the total cancer group showed statistical significance (in all cases P < .05). In stage I cancer, only vascular endothelial growth factor (VEGF) and tissue inhibitors of metalloproteinase 1; in stage II, all the tested parameters and CA 125; and in stage III + IV, VEGF, matrix metalloproteinase 9 (MMP-9), and CA 125 showed statistical significance when compared to the healthy volunteers group. Vascular endothelial growth factor showed the highest value of sensitivity from all tested parameters (I: 75%, II: 76%, III + IV: 94%, and 82% in total CC group). The highest specificity was obtained by MMP-9 (94%). In the total CC, stage I, and stage II groups, all tested parameters showed statistically significant area under the receiver operating characteristics curve (AUC), but maximum range was obtained for the combination VEGF + SCC-Ag (I: 0.9146, II: 0.8941, III + IV: 0.9139, total CC group: 0.9347). The combined analysis of tested parameters and tumor markers resulted in an increase in sensitivity and AUC values, which provides hope for developing new panel of biomarkers that may be used in the diagnosis of CC in the future.