Department of Medical Oncology, Antalya Training and Research Hospital, 07100 Antalya, Turkey.
Department of Radiology, Antalya Training and Research Hospital, 07100 Antalya, Turkey.
Medicina (Kaunas). 2024 Nov 10;60(11):1849. doi: 10.3390/medicina60111849.
: Neoadjuvant chemotherapy (NAC) improves survival by increasing pathologic complete response (pCR). Blood-based indexes have been studied in breast cancer for predicting pCR and prognosis, but the results are conflicting. We aimed to assess the impact of inflammatory and nutritional indexes on pCR and survival. : We retrospectively analyzed 304 patients. Pre-NAC laboratory data were used to calculate their neutrophil-to-lymphocyte ratios (NLR), pan-immune inflammation values (PIV), lactate dehydrogenase-albumin ratios (LAR), and prognostic nutritional indexes. The optimal cut-off values were determined through an analysis of the receiver operating characteristic curve. Survival analyses were performed using the Kaplan-Meier method. Multivariate regression analyses were performed to reveal the factors predicting pCR. Univariate and multivariate survival analyses were conducted to identify prognostic factors predicting survival. : The median follow-up was 38.5 months. pCR was achieved in 41.4% of the patients. In the univariate analyses, the NLR ( = 0.032) and PIV ( = 0.002) were indexes associated with pCR. In the multivariate analysis, the PIV ( = 0.008) was the only index significantly correlated with pCR. According to the multivariate Cox regression analyses, clinical stage 3 ( = 0.032), a pathologic response other than pCR ( = 0.021), and a high LAR (≥4.72) ( = 0.002) were correlated with increased recurrence risk. The univariate Cox regression analyses revealed that failure to achieve pCR ( = 0.037) and the presence of a high LAR ( = 0.044) were significant predictors of overall survival. However, the multivariate analyses failed to identify any significant predictors of death. : We found that the PIV was more effective than the other indexes in predicting pCR. To our knowledge, this study is the first to determine an association between the LAR and disease-free survival in patients with breast cancer receiving NAC. We concluded that a high LAR was a poor prognostic factor, especially in patients without a pCR. Therefore, close postoperative monitoring and the intensification of adjuvant treatment should be considered for these patients. However, further studies are needed to confirm our findings.
新辅助化疗(NAC)通过提高病理完全缓解(pCR)来改善生存。已经有研究通过血液指标来预测 pCR 和预后,但结果存在争议。我们旨在评估炎症和营养指标对 pCR 和生存的影响。
我们回顾性分析了 304 例患者。使用治疗前的实验室数据计算中性粒细胞与淋巴细胞比值(NLR)、全免疫炎症值(PIV)、乳酸脱氢酶-白蛋白比值(LAR)和预后营养指数。通过分析接收者操作特征曲线确定最佳截断值。使用 Kaplan-Meier 方法进行生存分析。进行多变量回归分析以揭示预测 pCR 的因素。进行单变量和多变量生存分析以确定预测生存的预后因素。
中位随访时间为 38.5 个月。41.4%的患者达到了 pCR。在单变量分析中,NLR(=0.032)和 PIV(=0.002)是与 pCR 相关的指标。在多变量分析中,只有 PIV(=0.008)与 pCR 显著相关。根据多变量 Cox 回归分析,临床分期 3(=0.032)、非 pCR 的病理反应(=0.021)和高 LAR(≥4.72)(=0.002)与复发风险增加相关。单变量 Cox 回归分析显示,未能达到 pCR(=0.037)和高 LAR(=0.044)是总生存的显著预测因素。然而,多变量分析未能确定任何死亡的显著预测因素。
我们发现 PIV 比其他指标更能有效预测 pCR。据我们所知,这项研究首次确定了在接受 NAC 的乳腺癌患者中 LAR 与无病生存之间的关联。我们得出结论,高 LAR 是一个不良的预后因素,特别是在没有 pCR 的患者中。因此,对于这些患者,应考虑密切的术后监测和强化辅助治疗。然而,需要进一步的研究来证实我们的发现。