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<p>This study aimed to investigate the clinical value of peripheral blood neutrophil-to-lymphocyte ratio (NLR) in predicting lymphovascular invasion (LVI) in breast cancer. Patients with newly diagnosed breast malignancies at our hospital between January 2021 and December 2023 were enrolled and divided into LVI-positive and LVI-negative groups. The expression levels of advanced lung cancer inflammation index (ALI), lymphocyte-to-monocyte ratio (LMR), NLR, and platelet-to-lymphocyte ratio (PLR) were compared between the two groups. Receiver operating characteristic (ROC) curve analysis was used to evaluate these indicators, including optimal cut-off value, area under the curve (AUC), sensitivity, and specificity. Univariate and multivariate analyses were performed to identify clinical indicators associated with LVI. The results showed that NLR could predict LVI occurrence (AUC = 0.604). Furthermore, a combination of NLR with lymph node metastasis and depth of tumor invasion (cT stage) improved the predictive ability for LVI in breast cancer (AUC = 0.704, 95% CI: 0.656–0.749, <i>P</i> &lt; 0.001). In conclusion, elevated NLR, lymph node metastasis, and deeper tumor invasion are all predictive indicators of LVI. Among them, NLR has the highest independent prediction performance.The combined model of these three factors demonstrates higher diagnostic efficiency compared with NLR alone.</p>

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Preoperative Value of Peripheral Neutrophils to Lymphocytes Ratio in Predicting Lymphovascular Invasion, in Breast Cancer

  • 期刊论文

  • 发表日期：

    2026年5月28日

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  • Xiaocheng Cheng,
  • Fuzhi Jiao,
  • Mingxuan Zhang,
  • Xiaojun Gong,
  • Xiaoyan Du,
  • Xiufen Ma,
  • Xueyan Liu

摘要

This study aimed to investigate the clinical value of peripheral blood neutrophil-to-lymphocyte ratio (NLR) in predicting lymphovascular invasion (LVI) in breast cancer. Patients with newly diagnosed breast malignancies at our hospital between January 2021 and December 2023 were enrolled and divided into LVI-positive and LVI-negative groups. The expression levels of advanced lung cancer inflammation index (ALI), lymphocyte-to-monocyte ratio (LMR), NLR, and platelet-to-lymphocyte ratio (PLR) were compared between the two groups. Receiver operating characteristic (ROC) curve analysis was used to evaluate these indicators, including optimal cut-off value, area under the curve (AUC), sensitivity, and specificity. Univariate and multivariate analyses were performed to identify clinical indicators associated with LVI. The results showed that NLR could predict LVI occurrence (AUC = 0.604). Furthermore, a combination of NLR with lymph node metastasis and depth of tumor invasion (cT stage) improved the predictive ability for LVI in breast cancer (AUC = 0.704, 95% CI: 0.656–0.749, P < 0.001). In conclusion, elevated NLR, lymph node metastasis, and deeper tumor invasion are all predictive indicators of LVI. Among them, NLR has the highest independent prediction performance.The combined model of these three factors demonstrates higher diagnostic efficiency compared with NLR alone.