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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
Utility of peripheral blood parameters in predicting breast cancer risk
Yildiz Okuturlar1, Meral Gunaldi, Elif Eda Tiken
1Internal Medicine, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
Purpose:
We aimed to study the inflammatory parameters of complete blood count in breast cancer cases.
Materials And Methods:
This retrospective study covered 178 breast cancer patients and 107 age and body mass index matched healthy women. Complete blood count parameters, neutrophil/lymphocyte ratio (NLR), platelet/ lymphocyte ratio (PLR) and MPV/platelet were analyzed.
Results:
The leukocyte, neutrophil and neutrophil/ lymphocyte ratio were higher in the patient group (p values 0.001, 0.0001 and 0.0001, respectively) while haemoglobin and hematocrit were higher in the control group (p=0.0001 for both). Logistic regression analysis showed that elevated neutrophils and platelet distribution width (PDW) (OR: 0.627, 95%CI: 0.508-0.774, p=0.001 and OR: 1.191 95%CI: 1.057-1.342 p=0.003) were independent variables for predicting breast cancer. The cut- off value for the neutrophil/lymphocyte ratio was 2.56.
Conclusions:
According to our study results, neutrophil levels as part of complete blood count may be used as an independent predictor of breast cancer risk.
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