Xu Siqi, Zhu Huide, Zheng Zhiwei
Department of Pharmacy, Cancer Hospital of Shantou University Medical College, Shantou, 515041, People's Republic of China.
Cancer Manag Res. 2023 Jul 5;15:591-599. doi: 10.2147/CMAR.S415618. eCollection 2023.
This study evaluated the value of PNI to predicting relapse-free survival (RFS) and overall survival (OS) in patients with resectable gastroesophageal junction adenocarcinoma (AGE).
Between 2016 and 2020, there were 236 resectable AGE patients underwent a retrospective review via propensity score matched (PSM) analysis. The PNI values were computed for each patient prior to surgery [PNI= 10×albumin (gr/dL) + 0.005×total lymphocyte count (mm3)]. By using disease progression and mortality as the end points, a receiver operating characteristic(ROC) curve was plotted to identify the PNI cut-off value. Kaplan-Meier curves and Cox proportional hazard models were used for survival analysis.
The ROC curve indicated that the ideal cutoff value was 45.60. After propensity score matching, there were 143 patients in our retrospective study, which included 58 patients in the low-PNI group and 85 patients in the high-PNI group. When compared to the low PNI group, the high PNI group substantially increased RFS and OS (p<0.001, p=0.003, respectively) according to the Kaplan-Meier analysis and Log rank test. Advanced pathological N stage (p=0.011) and poor PNI (p=0.004) were also significant risk factors for a shorter OS, according to a univariate analysis. Multivariate analysis revealed that the N0 plus N1 group had an endpoint mortality risk that was 0.39 times lower than the N2 plus N3 group's (p=0.008). In comparison to the high PNI group, the hazard of endpoint mortality was 2.442 times greater in the low PNI group (p = 0.003).
PNI is a simplistic and practical predictive predictor of the RFS and OS time in patients with resectable AGE.
本研究评估了预后营养指数(PNI)对可切除胃食管交界腺癌(AGE)患者无复发生存期(RFS)和总生存期(OS)的预测价值。
2016年至2020年间,对236例可切除AGE患者进行回顾性研究,并通过倾向评分匹配(PSM)分析。术前计算每位患者的PNI值[PNI = 10×白蛋白(g/dL)+ 0.005×总淋巴细胞计数(/mm³)]。以疾病进展和死亡为终点,绘制受试者工作特征(ROC)曲线以确定PNI临界值。采用Kaplan-Meier曲线和Cox比例风险模型进行生存分析。
ROC曲线显示理想的临界值为45.60。倾向评分匹配后,本回顾性研究纳入143例患者,其中低PNI组58例,高PNI组85例。根据Kaplan-Meier分析和对数秩检验,与低PNI组相比,高PNI组的RFS和OS显著延长(分别为p<0.001,p = 0.003)。单因素分析显示,病理N分期高级别(p = 0.011)和PNI差(p = 0.004)也是OS较短的显著危险因素。多因素分析显示,N0加N1组的终点死亡风险比N2加N3组低0.39倍(p = 0.008)。与高PNI组相比,低PNI组的终点死亡风险高2.442倍(p = 0.003)。
PNI是可切除AGE患者RFS和OS时间的一种简单实用的预测指标。