Tang Min, Liu Shuang, Li Wenbo, Peng Xi, Wang Yu, Chen Yinghua, Yang Dan, Xiang Tingxiu, Wu Zhongjun
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University Chongqing 400016, China.
Department of Oncology, Chongqing General Hospital, Chongqing University Chongqing 401120, China.
Am J Cancer Res. 2025 Apr 15;15(4):1578-1596. doi: 10.62347/HSDE2538. eCollection 2025.
To evaluate the prognostic significance of the albumin-to-alkaline phosphatase ratio (AAPR) and the Controlling Nutritional Status (CONUT) score in rectal cancer (RC) patients receiving XELOX-based chemotherapy, and to develop a nomogram for predicting recurrence risk.
This retrospective study included 389 RC patients treated at the First Affiliated Hospital of Chongqing Medical University, along with an independent validation cohort of 120 patients. Clinical variables, including AAPR and CONUT were analyzed using Cox regression and cumulative incidence function curves. A nomogram was constructed and validated using calibration plots and time-dependent receiver operating characteristic (ROC) curves.
Both AAPR (HR = 0.073, P<0.001) and CONUT score (HR = 1.497, P<0.001) were identified as independent predictors of recurrence. Additional factors significantly associated with increased recurrence risk included TNM stage III, tumor size ≥5 cm, vascular invasion, and carcinoembryonic antigen (CEA) level ≥5 ng/ml. The nomogram demonstrated strong predictive performance with a C-index of 0.860 in the training cohort, and 0.835 in the validation cohort. Calibration plots showed excellent agreement between predicted and observed recurrence probabilities.
AAPR and CONUT score are independent prognostic indicators for recurrence in RC patients treated with XELOX-based chemotherapy. The proposed nomogram, incorporating these variables, provides a reliable tool for individualized risk prediction and may support personalized treatment decision-making.
评估白蛋白与碱性磷酸酶比值(AAPR)及控制营养状况(CONUT)评分在接受基于奥沙利铂的化疗的直肠癌(RC)患者中的预后意义,并绘制预测复发风险的列线图。
这项回顾性研究纳入了重庆医科大学附属第一医院治疗的389例RC患者,以及一个由120例患者组成的独立验证队列。使用Cox回归和累积发病率函数曲线分析包括AAPR和CONUT在内的临床变量。使用校准图和时间依赖性受试者工作特征(ROC)曲线构建并验证列线图。
AAPR(HR = 0.073,P<0.001)和CONUT评分(HR = 1.497,P<0.001)均被确定为复发的独立预测因素。与复发风险增加显著相关的其他因素包括TNM III期、肿瘤大小≥5 cm、血管侵犯和癌胚抗原(CEA)水平≥5 ng/ml。列线图在训练队列中的C指数为0.860,在验证队列中的C指数为0.835,显示出强大的预测性能。校准图显示预测复发概率与观察到的复发概率之间具有良好的一致性。
AAPR和CONUT评分是接受基于奥沙利铂化疗的RC患者复发的独立预后指标。纳入这些变量的拟议列线图为个性化风险预测提供了可靠工具,并可能支持个性化治疗决策。