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Assessing Pathological Complete Response in Locally Advanced Breast Cancer: The Role of Inflammatory and Nutritional Biomarkers.

Title: Assessing Pathological Complete Response in Locally Advanced Breast Cancer: The Role of Inflammatory and Nutritional Biomarkers.
Authors: Duran, Eda Nur; Yeniyurt, Elif Kadıoğlu; Aydın, Sabin Göktaş; Erkinüresin, Taşkın; Dağıstanlı, Sevinç; İşbilen, Zeynep Betül Yıldız; Üstüner, Müge; Aydın, Fatma Bengü; Tabak, Ömür
Source: Acta Haematologica Oncologica Turcica; 2025, Vol. 58 Issue 2, p1-7, 7p
Subject Terms: Platelet lymphocyte ratio; Metastatic breast cancer; Neutrophil lymphocyte ratio; Receiver operating characteristic curves; Neoadjuvant chemotherapy
Abstract: Aim Neoadjuvant chemotherapy (NAC) aims to achieve pathological complete response (pCR), which is linked to improved outcomes in locally advanced breast cancer (LABC). Identifying reliable predictors of pCR remains a clinical priority. Methods This retrospective study included 44 women, with a median age of 50 years, with stage 2B-3C breast cancer who underwent NAC followed by surgery. Inflammatory markers [systemic inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), erythrocyte-to-lymphocyte ratio (ELR), lymphocyte-to-C (LCR)] and nutritional indices [glucose-to-albumin ratio (GAR), hemoglobin-to-albumin ratio (HAR), prognostic nutritional index (PNI)] were analyzed. Receiver operating characteristic analysis determined optimal cut-off values, and binary logistic regression evaluated independent predictors of pCR. Results The overall pCR rate was 38.6%. Among histological subtypes, luminal B tumors were more frequent in both groups, with 40.7% in the non-pCR group and 29.4% in the pCR group. Triple-positive and HER2-positive tumors were more common in the pCR group. GAR ≤2.04 emerged as the only independent predictor of pCR (odds ratio=0.09, 95% confidence interval: 0.01-0.70, p=0.02). ELR >2.69 and LCR >0.64 showed significant associations with pCR (p=0.03 and p=0.04, respectively), though they lacked independent predictive value. SII, NLR, PLR, HAR, and PNI demonstrated no significant correlation with pCR. Conclusion This study assessed significant cut-off values, ELR >2.69 and LCR >0.64, that might predict the pCR in LABC. GAR, with a cut-off value of 2.04, was found to be an independent predictive marker for pCR. [ABSTRACT FROM AUTHOR]
: Copyright of Acta Haematologica Oncologica Turcica is the property of Galenos Yayinevi Tic. LTD. STI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index