Xie Hailun, Wei Lishuang, Tang Shuangyi, Gan Jialiang
Department of Gastrointestinal and Gland Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, China.
Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China.
Front Nutr. 2025 Jul 10;12:1589854. doi: 10.3389/fnut.2025.1589854. eCollection 2025.
The neutrophil percentage-to-albumin ratio (NPAR) is a promising indicator for predicting outcomes in various cancers. However, its prognostic value in colorectal cancer (CRC) is still underexplored. This study aimed to investigate the relationship between NPAR and progression-free survival (PFS) as well as overall survival (OS) in CRC patients.
We conducted a retrospective cohort study involving 1,339 CRC patients who underwent surgical resection. The Kaplan-Meier method was utilized to plot survival curves for PFS and OS. Cox proportional hazards regression analysis assessed the relationship between NPAR and survival outcomes. The nomograms that included NPAR and other significant prognostic factors were developed to predict 1-, 3-, and 5-year survival rates.
Patients with high NPAR (≥1.62) experienced significantly worse PFS and OS compared to those with low NPAR (<1.62) (PFS: 47.4% vs. 63.1%, < 0.001; OS: 50.1% vs. 65.9%, < 0.001). Compared to other relevant markers, NPAR exhibited strong prognostic predictive efficacy. Multivariate Cox regression analysis identified high NPAR as an independent predictor of poor PFS (hazard ratio [HR] = 1.671, 95% Confidence Interval [CI]: 1.142-2.444, = 0.008) and OS (HR = 2.697, 95% CI: 1.761-4.130, < 0.001). The NPAR-based nomograms demonstrated high predictive accuracy and received favorable evaluations in the internal validation cohort.
Preoperative NPAR is a promising indicator for predicting PFS and OS in CRC patients. The NPAR-based nomogram offers a practical tool for personalized survival prediction and may assist in clinical decision-making.
中性粒细胞百分比与白蛋白比值(NPAR)是预测多种癌症预后的一个有前景的指标。然而,其在结直肠癌(CRC)中的预后价值仍未得到充分研究。本研究旨在探讨NPAR与CRC患者无进展生存期(PFS)及总生存期(OS)之间的关系。
我们进行了一项回顾性队列研究,纳入了1339例行手术切除的CRC患者。采用Kaplan-Meier法绘制PFS和OS的生存曲线。Cox比例风险回归分析评估NPAR与生存结局之间的关系。构建了包含NPAR和其他重要预后因素的列线图,以预测1年、3年和5年生存率。
与低NPAR(<1.62)的患者相比,高NPAR(≥1.62)的患者PFS和OS明显更差(PFS:47.4%对63.1%,<0.001;OS:50.1%对65.9%,<0.001)。与其他相关标志物相比,NPAR表现出较强的预后预测效能。多因素Cox回归分析确定高NPAR是PFS差(风险比[HR]=1.671,95%置信区间[CI]:1.142-2.444,P=0.008)和OS差(HR=2.697,95%CI:1.761-4.130,<0.001)的独立预测因素。基于NPAR的列线图显示出较高的预测准确性,并在内部验证队列中获得了良好评价。
术前NPAR是预测CRC患者PFS和OS的一个有前景的指标。基于NPAR的列线图为个性化生存预测提供了一个实用工具,可能有助于临床决策。