入射(几何)
医学
乳腺癌
相关性
体质指数
肿瘤科
癌症
索引(排版)
内科学
妇科
风险因素
比例危险模型
正相关
乳腺
乳腺疾病
流行病学
诺丁汉预后指数
作者
Zhiyuan Rong,Jiangwei Liu,Weilun Cheng,Liu Yansong,Yunqiang Duan,Anbang Hu,Xuelian Wang,Jiarui Zhang,Hanyu Zhang,Yanling Li,Mingcui Li,S. Shakila,Yuhang Shang,Zhengbo Fang,Fanjing Kong,Delong Cui,Yulin Chen,Ying Ji,Fei Ma,Baoliang Guo
标识
DOI:10.1080/01635581.2025.2559436
摘要
BACKGROUND: Previous studies have reported that both inflammation and nutrition may affect breast cancer development, but there has been no comprehensive analysis of the influence of the immune nutritional indicator Prognostic Nutritional Index on breast cancer. The Prognostic Nutritional Index (PNI), integrating serum albumin and lymphocyte count, serves as a dual biomarker reflecting systemic nutritional status and antitumor immune competence. Mechanistically, hypoalbuminemia signifies malnutrition and cancer-associated chronic inflammation, while lymphocytopenia indicates impaired immune surveillance facilitating tumor evasion. Clinically validated across gastrointestinal and breast malignancies, low PNI correlates with therapeutic resistance and reduced survival, attributable to compromised tissue repair and antitumor immunity. Despite its cost-effectiveness and calculability from routine blood tests, PNI's potential as an accessible risk stratification tool remains. METHODS: the formula PNI = ALB + 5 × lymphocyte count, was evaluated using weighted multivariable logistic regression to assess its dose-response relationship with the outcome. To this end, PNI was modeled both as a continuous variable (per 1-unit increase) and using gender-specific tertiles (T1: <46.8; T2: 46.8-52.4; T3: >52.4). RESULTS: < 0.001). A two-stage linear regression model identified a PNI threshold of 58.0 for breast cancer incidence. Importantly, the relevance of PNI was corroborated by machine learning approaches; XGBoost algorithm identified PNI as one of the top five predictive variables for breast cancer. In conclusion, these findings indicate that lower PNI levels are significantly associated with increased breast cancer risk, highlighting its potential role as an auxiliary indicator for risk stratification. However, further prospective studies are warranted to validate its clinical utility. CONCLUSION: Our study suggests that the PNI is negatively and linearly correlated with the incidence of breast cancer. A lower Prognostic Nutritional Index (PNI) is associated with an increased risk of breast cancer.
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