Department of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, People's Republic of China.
Department of Emergency Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, People's Republic of China.
BMC Public Health. 2024 Aug 19;24(1):2245. doi: 10.1186/s12889-024-19727-9.
Previous studies have hinted at the benefits of following an anti-inflammatory diet for potentially reducing breast cancer prevalence. However, the combined influence of diet and inflammation on breast cancer remains unclear.
The advanced lung cancer inflammation index (ALI) was used to assess inflammation and nutritional status. Statistical methods, such as multivariable logistic regression, eXtreme Gradient Boosting (XGBoost) model, and subgroup analysis, were employed to analyze the impact of ALI on prevalence of BC. Additionally, a two-piece-wise logistic regression model with smoothing was used to determine the ALI threshold for BC prevalence. The study aimed to understand the mechanistic association between ALI levels and BC development.
The mean (SD) age of the study population was 50.0 (17.7) years, with 40.0% of individuals classified as obese. Comparing ALI tertiles to the lowest tertile, the odds ratios (95% CI) for breast cancer (BC) were 0.78 (0.62, 0.98) and 0.68 (0.52, 0.87) for T2-T3. The XGBoost machine learning model was employed to assess the importance of selected factors, revealing ALI as one of the top five variables influencing BC. Subgroup analysis identified a correlation between ALI, alcohol consumption, and menopausal status. Additionally, ALI levels were associated with decreased estradiol (E2) levels, increased total testosterone (TT)/E2 ratio, and TT/sex hormone-binding globulin (SHBG) ratio.
This study indicates a potential protective effect of ALI levels against breast cancer, possibly related to sex hormone disruption. The findings support the use of optimal therapeutic strategies for preventing breast cancer.
先前的研究表明，抗炎饮食可能有助于降低乳腺癌的发病率。然而，饮食和炎症对乳腺癌的综合影响仍不清楚。
采用先进的肺癌炎症指数（ALI）评估炎症和营养状况。采用多变量逻辑回归、极端梯度提升（XGBoost）模型和亚组分析等统计方法，分析 ALI 对乳腺癌患病率的影响。此外，还采用两段式逻辑回归模型与平滑法确定 ALI 对乳腺癌患病率的阈值。本研究旨在探讨 ALI 水平与乳腺癌发展之间的机制关联。
研究人群的平均（SD）年龄为 50.0（17.7）岁，40.0%的个体为肥胖。与最低三分位相比，ALI 三分位到三分位的乳腺癌（BC）比值比（95%CI）分别为 0.78（0.62，0.98）和 0.68（0.52，0.87）。采用 XGBoost 机器学习模型评估了选定因素的重要性，结果表明 ALI 是影响 BC 的前五个变量之一。亚组分析发现 ALI 与饮酒和绝经状态之间存在相关性。此外，ALI 水平与雌二醇（E2）水平降低、总睾酮（TT）/E2 比值和 TT/性激素结合球蛋白（SHBG）比值升高相关。
本研究表明 ALI 水平可能对乳腺癌具有保护作用，这可能与性激素紊乱有关。研究结果支持使用最佳的治疗策略预防乳腺癌。
