Shao Zhenyong, Zou Yihe, Zou Changlin, Xu Yuyan
Department of Radiotherapy, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, 310058, Zhejiang Province, China.
The First School of Clinical Medicine, Wenzhou Medical University, Wenzhou, 325000, Zhejiang Province, China.
Support Care Cancer. 2025 Sep 5;33(10):834. doi: 10.1007/s00520-025-09911-x.
This study aimed to investigate the association between the change ratios of nutritional indicators and the efficacy of neoadjuvant chemoradiotherapy (nCRT) and survival in patients with locally advanced rectal cancer (LARC).
This study comprised 208 LARC patients with serial measurements of nutritional indicators including red blood cell count (RBC), hemoglobin (HB), platelet count (PLT), prognostic nutritional index (PNI), and body mass index (BMI). Stratification by pathological response was followed by Cox regression modeling for survival analysis (DFS/OS) and logistic regression for nCRT response prediction. The receiver operating characteristic (ROC) curves were used to measure the prediction power of the independent nutritional markers.
Multivariate logistic regression analysis confirmed RBC and HB were independent predictors for the efficacy of nCRT. RBC and HB were used to predict the area under the ROC curve of the efficacy of nCRT, which was greater than the single indicator prediction of the change ratio of RBC or HB. Multivariate Cox regression analyses revealed that HB was significantly associated with DFS and OS in LARC patients.
RBC and HB independently predicted the efficacy of nCRT and HB was significantly associated with DFS and OS in patients with LARC. Patients maintaining optimal nutritional parameters throughout the treatment exhibited significantly improved nCRT response rates and survival outcomes.
本研究旨在探讨局部晚期直肠癌(LARC)患者营养指标变化率与新辅助放化疗(nCRT)疗效及生存之间的关联。
本研究纳入208例LARC患者,对其进行包括红细胞计数(RBC)、血红蛋白(HB)、血小板计数(PLT)、预后营养指数(PNI)和体重指数(BMI)等营养指标的系列测量。按病理反应进行分层,随后采用Cox回归模型进行生存分析(无病生存期/总生存期),采用逻辑回归进行nCRT反应预测。采用受试者工作特征(ROC)曲线来衡量独立营养标志物的预测能力。
多因素逻辑回归分析证实RBC和HB是nCRT疗效的独立预测因素。利用RBC和HB预测nCRT疗效的ROC曲线下面积大于单独用RBC或HB变化率进行指标预测。多因素Cox回归分析显示,HB与LARC患者的无病生存期和总生存期显著相关。
RBC和HB可独立预测nCRT疗效,且HB与LARC患者的无病生存期和总生存期显著相关。在整个治疗过程中维持最佳营养参数的患者,nCRT反应率和生存结局显著改善。