The evaluation of diagnostic performance of some enzymes for diagnosis and detection of breast cancer by ROC curve

Abstract

Objective: In this study, it was aimed to examine the performance of Arylesterase (ARE), Paraoxonase-1 (PON-1) and Adenosine deaminase (ADA) enzymes to identify cancer patients and their stages with ROC curve in serum samples taken from patients diagnosed as breast cancer in the Medical Oncology services at Yüzüncü Yıl University.

Material and Methods: The 25 healthy controls and 25 breast cancer patients are included in this study. 8 patients are in stage-1, 9 patients are in stage-2 and 8 patients are in stage-3. Adenosine deaminase (ADA), Paraoxonase-1 (PON-1) and Arylesterase (ARE) activities were detected in serums with Spectrophotometric method. Descriptive statistics for the traits studied were presented as median, mean, standard deviation, minimum and maximum value. In terms of these traits, Kruskal-Wallis test was performed to find out whether there are no differences between stages and control group. In addition, ROC analysis was performed to evaluate the performances of enzymes to classify patient and control group.

Results: The differences between stage-1, stage-2, stage-3 and control group for Adenosine deaminase (ADA) enzyme activities were found statistically significant (p<0.01). Besides, the difference between stage-2 and stage-3 was found insignificant for Paraoxonase-1 (PON-1) and Arylesterase (ARE) enzyme activity. Last, the difference between them and stage-1 and control group was found statistically significant.

Conclusion: It can be inferred that sensitivity and specificity values of the enzymes are favorable high and they have outstanding performance to identify tumor stage as well as patient and control group. Therefore, these enzymes should be suggested as a “diagnostic test” to classify patients with breast cancer and control group.

Keywords

• Arylesterase,Adenosine deaminase; Sensitivity; Specificity

The evaluation of diagnostic performance of some enzymes for diagnosis and detection of breast cancer by ROC curve

Öz

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