Predictive Value of Inflammatory Indexes as Biomarkers of Neoadjuvant Chemotherapy Response in Locally Advanced Breast Cancer Inflammatory indexes and NAC in BC

Vedad Dedic (1), Timur Ceric (2), Sadat Pusina (3), Mirhan Salibasic (4), Nejra Selak (5), Emir Bicakcic (6), Nedim Katica (7)
(1) Clinical Center University of Sarajevo, Department of general, abdominal and glandular surgery, Bosnia and Herzegovina,
(2) Clinical Center University of Sarajevo, Department of Oncology, Sarajevo, Bosnia and Herzegovina, Bosnia and Herzegovina,
(3) Clinical Center University of Sarajevo, Department of General, Abdominal and glandular surgery Sarajevo, Bosnia and Herzegovina, Bosnia and Herzegovina,
(4) Clinical Center University of Sarajevo, Department of General, Abdominal and glandular surgery Sarajevo, Bosnia and Herzegovina, Bosnia and Herzegovina,
(5) Clinical Center University of Tuzla, Department of Pathology, Tuzla, Bosnia and Herzegovina, Bosnia and Herzegovina,
(6) Clinical Center University of Sarajevo, Department of General, Abdominal and glandular surgery Sarajevo, Bosnia and Herzegovina, Bosnia and Herzegovina,
(7) Clinical Center University of Sarajevo, Department of Plastic and Reconstructive Surgery, Sarajevo, Bosnia and Herzegovina, Bosnia and Herzegovina

Abstract

Background: Breast cancer remains the most common cancer in women worldwide. Treatment has evolved into multimodal approaches, with pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) serving as a key prognostic marker. The aim of this study is to evaluate the value of inflammatory markers in predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer.
Methods: This cross sectional study of 74 breast cancer patients who underwent NAC followed by surgery included demographic, tumor, and immune-inflammatory marker data. ROC curve and Youden index determined optimal cutoffs. Univariate and multivariate logistic regression assessed associations between markers and pCR, adjusting for tumor stage, HER2, and ER status.
Results: Multivariate analysis identified pan immune inflammatory value (PIV), HER2, and ER status as significant independent predictors of pCR (p < 0.05). PIV (OR= 4.28, 95% CI 1.59-16.88, p=0.012) remained significant among inflammatory markers, while neutrophil to lymphocyte (NLR), monocyte to lymphocyte (MLR), and platelets to lymphocyte (PLR) did not. HER2-positive (OR=7.45, 95% CI 2.3-24.15, p=0.022) and hormone receotor (HR) negative (OR=7.02, 95% CI 2.63-18.7, p=0.02) statuses were also strongly associated with pCR.
Conclusion: PIV is a robust predictor of pCR in breast cancer patients receiving NAC, offering a comprehensive reflection of the immune-inflammatory state. Incorporating PIV with tumor-specific markers (e.g. Receptor status, Ki67, grade) may enhance treatment stratification. Further validation in diverse cohorts is warranted.

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Authors

Vedad Dedic
dedicvedad7@gmail.com (Primary Contact)
Timur Ceric
Sadat Pusina
Mirhan Salibasic
Nejra Selak
Emir Bicakcic
Nedim Katica
1.
Dedic V, Ceric T, Pusina S, Salibasic M, Selak N, Bicakcic E, Katica N. Predictive Value of Inflammatory Indexes as Biomarkers of Neoadjuvant Chemotherapy Response in Locally Advanced Breast Cancer: Inflammatory indexes and NAC in BC. Arch Breast Cancer [Internet]. [cited 2025 Aug. 4];12(4). Available from: https://archbreastcancer.com/index.php/abc/article/view/1137

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