Assessing Pathological Complete Response in Locally Advanced Breast Cancer: The Role of Inflammatory and Nutritional Biomarkers
Acta Haematologica Oncologica Turcica, cilt.58, sa.2, ss.103-109, 2025 (Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 58 Sayı: 2
- Basım Tarihi: 2025
- Doi Numarası: 10.4274/ahot.galenos.2025.2025-3-6
- Dergi Adı: Acta Haematologica Oncologica Turcica
- Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.103-109
- Anahtar Kelimeler: Breast cancer, inflammatory marker, neoadjuvant chemotherapy, nutritional marker, pathological complete response
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
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.