Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China.
Endoscope Department, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China.
Int J Med Sci. 2024 Oct 14;21(14):2640-2654. doi: 10.7150/ijms.99724. eCollection 2024.
The aim of this research is to investigate whether the GRIm score serves as a novel prognostic tool for predicting the survival rates among early breast cancer patients undergoing surgical treatment. This retrospective study included 313 cases of breast cancer patients hospitalized in our hospital from January 2015 to November 2015. All enrolled patients received surgery and had no metastasis. The GRIm score was based on five objective markers: (1) albumin level (<3.5 g/L = 1 point), (2) LDH level (≥245 U/L = 1 point); (3) AST-to-ALT ratio (≥1.44 = 1 point); (4) total bilirubin level (≥21 μmol/ml = 1 point); (5) NLR (≥1.51 = 1 point). The best critical value was 1.51 for NLR by ROC. Patients were categorized into two groups based on GRIm scores: low-score group (0 point) and high-score group (1 to 5 points). Kaplan-Meier method and log rank test were utilized to estimate disease free survival (DFS) and overall survival (OS). Both univariate analysis and multivariate Cox analysis were used to analyze the relationship among the enrolled parameters. Nomograms were formulated reliant on the outcomes of multivariate Cox analysis. Based on the GRIm score, the cohort was divided into two groups: a low-score group with 81 cases and a high-score group with 232 cases. The mean DFS and OS were significantly prolonged in low-score group compared to high-score group (DFS: 74.39 vs. 66.20 months, χ=8.729, P=0.0031; OS: 83.71 vs. 76.40 months, χ=8.729, P=0.0031). According to multivariable analysis, GRIm score was notably correlated with DFS (HR: 2.789, 95% CI: 1.304-5.965, P= 0.004) and OS (HR: 3.015, 95% CI: 1.409-10.087, P=0.004). Nomograms exhibited excellent predictive performance for DFS (C-index: 0.823) and OS (C-index: 0.807). GRIm score serves as a predictive tool for assessing the prognosis of early breast cancer patients. Nomograms based on GRIm score show good prediction ability.
本研究旨在探讨 GRIm 评分是否可作为一种新的预后工具,用于预测接受手术治疗的早期乳腺癌患者的生存率。本回顾性研究纳入了 2015 年 1 月至 2015 年 11 月期间在我院住院的 313 例乳腺癌患者。所有入组患者均接受手术治疗,且无转移。GRIm 评分基于五个客观标志物:(1)白蛋白水平(<3.5g/L=1 分);(2)LDH 水平(≥245U/L=1 分);(3)AST-ALT 比值(≥1.44=1 分);(4)总胆红素水平(≥21μmol/ml=1 分);(5)NLR(≥1.51=1 分)。通过 ROC 分析,NLR 的最佳临界值为 1.51。根据 GRIm 评分,患者分为低评分组(0 分)和高评分组(1 至 5 分)。采用 Kaplan-Meier 法和对数秩检验估计无病生存率(DFS)和总生存率(OS)。采用单因素分析和多因素 Cox 分析分析入组参数之间的关系。根据多因素 Cox 分析的结果制定列线图。根据 GRIm 评分,队列分为两组:低评分组 81 例,高评分组 232 例。低评分组的 DFS 和 OS 明显长于高评分组(DFS:74.39 与 66.20 个月,χ=8.729,P=0.0031;OS:83.71 与 76.40 个月,χ=8.729,P=0.0031)。多因素分析显示,GRIm 评分与 DFS(HR:2.789,95%CI:1.304-5.965,P=0.004)和 OS(HR:3.015,95%CI:1.409-10.087,P=0.004)显著相关。列线图对 DFS(C 指数:0.823)和 OS(C 指数:0.807)具有良好的预测性能。GRIm 评分可作为评估早期乳腺癌患者预后的预测工具。基于 GRIm 评分的列线图具有良好的预测能力。