Exploratory evaluation of CA 15-3 × NLR score for predicting pathologic complete response in breast cancer patients undergoing neoadjuvant chemotherapy.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 3/4)
유사 논문P · Population 대상 환자/모집단
330 patients treated with NACT between January 2015 and March 2025 were retrospectively analyzed.
I · Intervention 중재 / 시술
neoadjuvant chemotherapy (NACT)
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSION] The CA 15-3 × NLR score demonstrates modest prognostic potential in predicting treatment response in breast cancer patients receiving neoadjuvant chemotherapy. While promising, these findings should be interpreted cautiously, and further validation is needed before clinical implementation.
[PURPOSE] This study aimed to evaluate the predictive role of the CA 15-3 × neutrophil-to-lymphocyte ratio (NLR) score in estimating pathologic complete response (pCR) in patients with invasive breast
- p-value p = 0.033
- p-value p = 0.025
- 95% CI 1.086-3.433
- Sensitivity 33.9%
APA
Eniseler EB, Çetin B, et al. (2026). Exploratory evaluation of CA 15-3 × NLR score for predicting pathologic complete response in breast cancer patients undergoing neoadjuvant chemotherapy.. Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 28(2), 527-532. https://doi.org/10.1007/s12094-025-04031-8
MLA
Eniseler EB, et al.. "Exploratory evaluation of CA 15-3 × NLR score for predicting pathologic complete response in breast cancer patients undergoing neoadjuvant chemotherapy.." Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, vol. 28, no. 2, 2026, pp. 527-532.
PMID
40819344 ↗
Abstract 한글 요약
[PURPOSE] This study aimed to evaluate the predictive role of the CA 15-3 × neutrophil-to-lymphocyte ratio (NLR) score in estimating pathologic complete response (pCR) in patients with invasive breast cancer who underwent neoadjuvant chemotherapy (NACT).
[METHODS] A total of 330 patients treated with NACT between January 2015 and March 2025 were retrospectively analyzed. The CA 15-3 × neutrophil-to-lymphocyte ratio (NLR) score was calculated by multiplying pre-treatment serum CA 15-3 levels with the NLR. pCR was defined as the absence of invasive carcinoma in both the breast and axillary lymph nodes after surgery. Logistic regression analyses were performed to identify independent predictors of pCR, and receiver operating characteristic (ROC) curve analysis was conducted to determine the optimal cutoff value for the composite score.
[RESULTS] The median age of the study population was 48 years. Pathologic complete response was achieved in 42.4% of patients. The median CA 15-3 × NLR score was significantly lower in the pCR group compared to the non-pCR group (21 vs. 24; p = 0.033). ROC analysis revealed an optimal cutoff value of ≤ 32.7 (AUC = 0.568), with 81.05% sensitivity and 33.9% specificity. In multivariate logistic regression analysis, CA 15-3 × NLR ≤ 32.7 remained an independent predictor of pCR (OR 1.931; 95% CI 1.086-3.433; p = 0.025), along with N stage 2 and the absence of perineural invasion.
[CONCLUSION] The CA 15-3 × NLR score demonstrates modest prognostic potential in predicting treatment response in breast cancer patients receiving neoadjuvant chemotherapy. While promising, these findings should be interpreted cautiously, and further validation is needed before clinical implementation.
[METHODS] A total of 330 patients treated with NACT between January 2015 and March 2025 were retrospectively analyzed. The CA 15-3 × neutrophil-to-lymphocyte ratio (NLR) score was calculated by multiplying pre-treatment serum CA 15-3 levels with the NLR. pCR was defined as the absence of invasive carcinoma in both the breast and axillary lymph nodes after surgery. Logistic regression analyses were performed to identify independent predictors of pCR, and receiver operating characteristic (ROC) curve analysis was conducted to determine the optimal cutoff value for the composite score.
[RESULTS] The median age of the study population was 48 years. Pathologic complete response was achieved in 42.4% of patients. The median CA 15-3 × NLR score was significantly lower in the pCR group compared to the non-pCR group (21 vs. 24; p = 0.033). ROC analysis revealed an optimal cutoff value of ≤ 32.7 (AUC = 0.568), with 81.05% sensitivity and 33.9% specificity. In multivariate logistic regression analysis, CA 15-3 × NLR ≤ 32.7 remained an independent predictor of pCR (OR 1.931; 95% CI 1.086-3.433; p = 0.025), along with N stage 2 and the absence of perineural invasion.
[CONCLUSION] The CA 15-3 × NLR score demonstrates modest prognostic potential in predicting treatment response in breast cancer patients receiving neoadjuvant chemotherapy. While promising, these findings should be interpreted cautiously, and further validation is needed before clinical implementation.
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