Luan Xiao-Dong, Ren Qian, Zhang Ya-Lin, Zhang Wen-Hai, Liang Chun-Feng, Liang Si-Zhi, Liu Zi-Hao, Liu Yu-Kun
Department of Breast Surgery, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, Shandon, China.
Department of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Front Oncol. 2025 Aug 19;15:1613346. doi: 10.3389/fonc.2025.1613346. eCollection 2025.
This study aims to assess the relationship between the Advanced Lung Cancer Inflammation Index (ALI) and the risk of distant metastasis in breast cancer. While ALI is commonly used to evaluate the prognosis of lung cancer patients, its application in breast cancer and its correlation with distant metastasis are not well understood. Therefore, this study explores the potential of ALI as a predictor of distant metastasis in breast cancer patients.
This retrospective study included 348 breast cancer patients, of whom 163 had distant metastasis. Patient demographic information, tumor characteristics, and ALI values were collected. Multivariate regression analysis was used to adjust for confounding factors, and dose-response analysis was performed to investigate the relationship between ALI and the risk of distant metastasis. The optimal ALI cutoff value was determined, and its predictive performance was evaluated.
The analysis showed that patients with lower ALI had a significantly higher risk of distant metastasis. Adjusted multivariate analysis revealed that for every one interquartile range (IQR) increase in ALI, the risk of distant metastasis in breast cancer decreased by 31% (OR=0.69, 95% CI 0.58-0.81). Dose-response analysis indicated a linear relationship between ALI and metastasis risk. The optimal ALI cutoff value was identified as 36.39 using the Youden index, with an area under the ROC curve (AUC) of 0.605, indicating moderate predictive power of ALI for distant metastasis in breast cancer.
Lower ALI is significantly associated with an increased risk of distant metastasis in breast cancer. ALI may serve as a valuable predictor of distant metastasis, offering clinicians a new tool to better identify high-risk patients and facilitate early intervention. However, further prospective studies are required to validate its clinical utility.
本研究旨在评估晚期肺癌炎症指数（ALI）与乳腺癌远处转移风险之间的关系。虽然ALI常用于评估肺癌患者的预后，但其在乳腺癌中的应用及其与远处转移的相关性尚未得到充分了解。因此，本研究探讨了ALI作为乳腺癌患者远处转移预测指标的潜力。
这项回顾性研究纳入了348例乳腺癌患者，其中163例发生了远处转移。收集了患者的人口统计学信息、肿瘤特征和ALI值。采用多因素回归分析来调整混杂因素，并进行剂量反应分析以研究ALI与远处转移风险之间的关系。确定了ALI的最佳临界值，并评估了其预测性能。
分析表明，ALI较低的患者发生远处转移的风险显著更高。多因素调整分析显示，ALI每增加一个四分位数间距（IQR），乳腺癌远处转移的风险降低31%（OR=0.69，95%CI 0.58-0.81）。剂量反应分析表明ALI与转移风险之间存在线性关系。使用约登指数确定的ALI最佳临界值为36.39，ROC曲线下面积（AUC）为0.605，表明ALI对乳腺癌远处转移具有中等预测能力。
较低的ALI与乳腺癌远处转移风险增加显著相关。ALI可能是远处转移的一个有价值的预测指标，为临床医生提供了一种新工具，以更好地识别高危患者并促进早期干预。然而，需要进一步的前瞻性研究来验证其临床效用。
