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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Evaluation of inflammatory biomarkers as helping diagnostic tool in patients with breast cancer
Dejan Baskic1, Suzana Popovic2, Dragic Bankovic3
1Center for Molecular Medicine and Stem Cell Research, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia Pubic Health Institute Kragujevac, Kragujevac, Serbia.
Objective:
The aim of this study was to evaluate the serum levels of IFN-γ, IL-18, NO and MDA, in patients with breast cancer and to assess their clinical significance as a novel diagnostic markers in breast carcinoma.
Methods:
We examined IFN-γ, IL-18, NO and MDA in 18 healthy volunteers, 38 patients with primary invasive breast cancer, and 18 patients with distant metastatic breast cancer. Serum levels of NO were measured by the Griess method. Serum concentrations of IFN-γ and IL-18 were analyzed with ELISA assays. Concentration of MDA in serum was measured by a thiobarbituric acid assay. The diagnostic value of inflammatory biomarkers was evaluated by receiver operating characteristic curves (ROC) and logistic regression models.
Results:
ROC curve analyses demonstrated that only IFN-γ has the ability to distinguish either presence of breast cancer or breast cancer in localized or metastatic form, whereas IL-18 and NO can detect only metastasis. Using a logistic regression model with IL-18 and MDA we obtained a higher sensitivity and specificity regardless of disease status. A panel combining four markers, at least one "rule", achieved the highest sensitivity of 95% and 100% for localized and metastatic cancer, respectively, and high specificity of 80%.
Conclusion:
The combination of four inflammatory biomarkers could be a novel panel of diagnostic markers in patients with breast cancer.
