European Journal of Breast Health
Original Article

Inflammatory Markers Predicting Pathological Complete Response in Cases with Breast Cancer Treated by Neoadjuvant Chemotherapy

1.

Department of Medical Oncology, Adana City Training and Research Hospital, Adana, Turkey

2.

Department of Medical Oncology, Atatürk University School of Medicine, Erzurum, Turkey

3.

Department of Medical Oncology, Çukurova University School of Medicine, Adana, Turkey

Eur J Breast Health 2020; 16: 229-234
DOI: 10.5152/ejbh.2020.5556
Keywords : Breast cancer, dNLR, MHR, NLR, PNI
Read: 253 Downloads: 161 Published: 20 May 2020

Objective: Response to neoadjuvant chemotherapy (NAC) is predictive for survival times in some patients with breast cancer (BC). The aim of this study is to explore the predictive value of some inflammatory markers including neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), monocyte-to-high density lipoprotein ratio (MHR) and prognostic nutritional index (PNI) in cases with BC treated with NAC.

Materials and Methods: One hundred and ten patients with BC treated with NAC were included in the study. Measurements for NLR, dNLR, MHR and PNI were calculated with available formulas. The value of NLR, dNLR, MHR and PNI in predicting pCR to NAC in BC was analyzed using receiver operating characteristic (ROC) curve analysis. All analyses were performed using the SPSS statistical software package (SPSS statistics 21.0).

Results: Mean NLR values were 2.2±0.8 vs. 2.6±1.3 for pCR (+) and pCR (-) groups (p=0.603). Mean dNLR values were 1.5±0.5 vs. 1.9±0.8 for pCR (+) and pCR (-) groups, respectively and this was statistically significant  (p=0.022). Mean MHR values were 15.4±17.2 vs. 13.2±10.1 for pCR (+) and pCR (-) groups (p=0.406). Mean PNI values were 52±5.1 vs. 49±5.8 for pCR (+) and pCR (-) groups, and this was statistically significant (p=0.015). In multiple logistic regression analysis PNI was found to be independent factor for pCR.

Conclusion: In this study pre-treatment dNLR and PNI were found to be predictive for pCR while NLR and MHR were not found to be associated with pCR. PNI and dNLR are simple but useful biomarkers predicting response to NAC.

Cite this article as: Büyükşimşek M, Oğul A, Mirili C, Paydaş S. Inflammatory Markers Predicting Pathological Complete Response in Cases with Breast Cancer Treated by Neoadjuvant Chemotherapy. Eur J Breast Health 2020; 16(4): 229-234.

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