Predictive Value of Pretreatment Neutrophil to Albumin Ratio in Response to Neoadjuvant Chemotherapy of Breast Cancer.

IF 3.3 4区 医学 Q2 ONCOLOGY Breast Cancer : Targets and Therapy Pub Date : 2024-07-23 eCollection Date: 2024-01-01 DOI:10.2147/BCTT.S468239
Yu-Xiang Deng, Yu-Jie Zhao, Qiao-Hong Nong, Hong-Mei Qiu, Qiao-Li Guo, Hui Hu
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Abstract

Background: The immune system appears to play a crucial role in how breast cancer responds to chemotherapy. In this study, we investigated a peripheral marker of immune and inflammation named the neutrophil to albumin ratio (NAR) to explore its potential relationship with pathological complete response (pCR) in locally advanced breast cancer patients who underwent neoadjuvant chemotherapy (NAC).

Methods: We conducted a retrospective analysis of 212 consecutive breast cancer patients who received NAC. The NAR was calculated by examining the complete blood cell count and albumin level in peripheral blood before starting NAC. Through ROC curve analysis, we determined the optimal cutoff value for NAR as 0.0877. We used Pearson's chi-square test or Fisher's exact test to evaluate the relationship between NAR and pCR, as well as other clinical and pathological characteristics. Logistic regression models were employed for univariate and multivariate analyses.

Results: The results of both univariate and multivariate logistic regression analyses showed that NAR was associated with tumor pathological regression. The NAR high group had a higher pCR rate compared to the NAR low group (OR 3.127 [95% CI 1.545-6.328]; p = 0.002).

Conclusion: According to this study, it was observed that patients with breast cancer who had high levels of NAR were more likely to achieve pCR when undergoing NAC.

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治疗前中性粒细胞与白蛋白比率对乳腺癌新辅助化疗反应的预测价值
背景:免疫系统似乎在乳腺癌对化疗的反应中起着至关重要的作用。在这项研究中,我们研究了一种名为中性粒细胞与白蛋白比值(NAR)的免疫和炎症外周标志物,以探讨其与接受新辅助化疗(NAC)的局部晚期乳腺癌患者病理完全反应(pCR)的潜在关系:我们对连续接受新辅助化疗的212例乳腺癌患者进行了回顾性分析。通过检查开始新辅助化疗前外周血中的全血细胞计数和白蛋白水平,计算出 NAR。通过 ROC 曲线分析,我们确定 NAR 的最佳临界值为 0.0877。我们使用皮尔逊卡方检验或费雪精确检验来评估 NAR 与 pCR 及其他临床和病理特征之间的关系。采用逻辑回归模型进行单变量和多变量分析:单变量和多变量逻辑回归分析结果显示,NAR与肿瘤病理消退相关。与 NAR 低组相比,NAR 高组的 pCR 率更高(OR 3.127 [95% CI 1.545-6.328]; p = 0.002):本研究观察到,NAR 水平高的乳腺癌患者在接受 NAC 治疗时更有可能获得 pCR。
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来源期刊
CiteScore
4.10
自引率
0.00%
发文量
40
审稿时长
16 weeks
期刊最新文献
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