Association between the neutrophil percentage-to-albumin ratio and breast cancer risk: Evidence from the National Health and Nutrition Examination Survey 1999-2016
Xiaoying He , Tang Xiao , Haifang Zhao , Xinyue Huang , Sheng Xu , Junfeng Liu , Yunxiang Wang , Jie Yin , Yong Zhou , Rui Qi , Ruijuan Heng , Pan Qi
Journal of Clinical and Translational Research ›› 2025, Vol. 11 ›› Issue (6) : 64 -75.
Association between the neutrophil percentage-to-albumin ratio and breast cancer risk: Evidence from the National Health and Nutrition Examination Survey 1999-2016
Background: Increasing evidence underscores the association between chronic inflammation and carcinogenesis. Aim: The aim of the study is to investigate the association between the neutrophil percentage-to-albumin ratio (NPAR) and breast cancer (BC) risk. Methods: This analysis utilized cross-sectional data from 16,993 participants enrolled in the National Health and Nutrition Examination Survey from 1999 to 2016. To investigate the link between NPAR and BC risk, weighted multivariate logistic regression models were applied. Nonlinear associations were explored using restricted cubic spline (RCS) models. Furthermore, a nomogram incorporating NPAR was constructed for risk stratification, and its predictive accuracy was evaluated using receiver operating characteristic curve (ROC) analysis. Results: After adjusting for potential confounders, elevated NPAR levels showed a significant positive association with BC (odds ratio [OR] = 1.12, 95% confidence interval [95% CI]: 1.08-1.16; p<0.001). Compared with the reference quartile (Q1), progressively increasing ORs associated with BC were observed across ascending NPAR quartiles: Q1: OR 1.05 (95% CI: 0.78-1.42), Q2: OR 1.35 (95% CI: 1.02-1.79), and Q3: OR 1.47 (95% CI: 1.12-1.93). Analysis using RCS indicated a linear relationship where increasing NPAR levels were associated with a higher risk of BC. The predictive model incorporating NPAR demonstrated strong accuracy for BC prediction, achieving an area under the ROC curve of 0.8068 (95% CI: 0.7904-0.8232). Conclusion:Our findings reveal a significant dose-dependent association between NPAR and BC risk in a nationally representative sample from the United States. Although cross-sectional designs preclude causal inference, longitudinal studies should validate these observations and explore underlying biological mechanisms. Relevance for patients: NPAR could potentially serve as a novel biomarker to predict BC risk in patients.
National Health and Nutrition Examination Survey / Neutrophil percentage-to-albumin ratio / Breast cancer / Inflammatory marker
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