Apolipoprotein A1 and Transferrin as Biomarkers in Ovarian Cancer Diagnostics

Introduction. Advanced technologies such as matrix assisted laser desorption/ionization and surface enhanced laser desorption/ionization mass spectrometry has introduced promising insights into ovarian cancer detection. Several highly sensitive and specific protein peaks have been identified that discriminates ovarian cancer patients from patients with benign ovarian tumors and controls. Aim of the Study. Objective of this study is to evaluate diagnostic accuracy each individual marker and combined serum biomarker assay consisting of apolipoprotein A1, transferrin and Ca125. Materials and methods. A case-control study consisted of 99 women - 37 patients with ovarian cancer, 31 patients with benign ovarian diseases, and 31 age-matched healthy controls. Apolipoprotein A1 and transferrin was measured in sera using immunological turbidimetric assay. Tumor marker CA125 was analyzed by standard enzyme-labeled chemiluminescent immunometric assay. To compare the difference between variables in the study groups, ANOVA test was performed and for correlation Pearson's correlation analysis applied. Sensitivity and specificity of the diagnostic tests was calculated using statistical program Vassarstat. Results. Serum apolipoprotein A1 and transferrin were down regulated, controversially to Ca125, which was up regulated among ovarian cancer patients. Negative correlation between transferrin and Ca 125 (p<0.00), apolipoprotein A1 and Ca 125 (p<0.00) and positive correlation between transferrin and apolipoprotein A1 (p<0.00) was observed. For single biomarker test highest diagnostic sensitivity and specificity for Ca125 was observed. Addition of apolipoprotein A1 or transferrin to serum level of Ca125 with the condition, that both have to overlap the threshold (Ca125 > 21U/ml and apolipoprotein A1 ≤ 139.1 mg/dl or transferrin ≤ 2.3 g/l), yielded test specificity of 96.7%. Addition of apolipoprotein A1 to Ca125 improved test sensitivity up to 94.5% maintaining high sensitivity at the same time 91.1%, respectively, when discriminating controls from ovarian cancer patients. Biomarker test consisting of apolipoprotein A1, transferrin and Ca125 had high specificity at unacceptable sensitivity. Conclusions. Combined biomarker tests discovered using advanced technologies can aid more accurate ovarian cancer detection. Use of apolipoprotein A1 in combination with Ca125 at distinct thresholds can improve ovarian cancer detection.