Zhang Zhe, Hu Chenhao, Shi Feiyu, Zhang Lei, Wang Ya, Zhang Yujie, Zhang Xiaojiang, She Junjun
Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Center for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Front Oncol. 2025 Feb 5;15:1397019. doi: 10.3389/fonc.2025.1397019. eCollection 2025.
To determine whether transthyretin (TTR) influences the prognosis of patients with colorectal cancers and establish a predictive model based on TTR.
Between January 2013 and February 2019, the clinical data of 1322 CRC patients aged from 18 years to 80 years who underwent surgical treatment were retrospectively analyzed. The preoperative TTR level, clinicopathological data, and follow-up data were recorded. The X-tile program was used to determine the optimal cut-off value. Cox proportional hazard regression analysis was conducted to evaluate the correlation between the TTR and the cumulative incidence of cancer-specific survival (CSS). Nomograms were then developed to predict CSS. Furthermore, an additional cohort of 377 CRC patients enrolled between January 2014 and December 2015 was included as an external validation.
Based on the optimal cut-off value of 121.3 mg/L, we divided the patients into the TTR-lower group (<121.3 mg/L) and the TTR-higher group (≥121.3 mg/L). Comparative analysis revealed that the TTR-higher group exhibited a younger demographic, a higher prevalence of low colorectal cancers, an elevated R0 resection rate, superior differentiation, earlier stage and lower levels of carcinoembryonic antigen (CEA) in contrast to the TTR-lower group. The Cox multivariable analysis underscored the significance of TTR and various clinicopathological factors, encompassing age, tumor location, R0 resection status, differentiation grade, disease stage, postoperative chemoradiotherapy, and preoperative CEA levels, as substantial prognostic indicators. The postoperative survival nomogram, when internally and externally assessed, demonstrated commendable performance across multiple metrics, including the area under the receiver operating characteristic curve (AUC), calibration plots, and decision curve analysis (DCA). Compared with other models, the proportional hazards model combined with TTR demonstrates superior performance in terms of C-index, AUC, calibration chart, and DCA within the prognostic column chart.
The preoperative TTR was identified as a prognostic factor for predicting the long-term prognosis of CRC patients who underwent surgical treatment, supporting its role as a prognostic biomarker in clinical practice.
确定转甲状腺素蛋白(TTR)是否影响结直肠癌患者的预后,并建立基于TTR的预测模型。
回顾性分析2013年1月至2019年2月期间1322例年龄在18岁至80岁之间接受手术治疗的结直肠癌患者的临床资料。记录术前TTR水平、临床病理数据和随访数据。使用X-tile程序确定最佳临界值。进行Cox比例风险回归分析,以评估TTR与癌症特异性生存(CSS)累积发生率之间的相关性。然后绘制列线图以预测CSS。此外,纳入2014年1月至2015年12月期间登记的另外377例结直肠癌患者作为外部验证。
根据121.3mg/L的最佳临界值,将患者分为TTR较低组(<121.3mg/L)和TTR较高组(≥121.3mg/L)。对比分析显示,与TTR较低组相比,TTR较高组患者年龄较轻、低位结直肠癌患病率较高、R0切除率较高、分化程度较高、分期较早且癌胚抗原(CEA)水平较低。Cox多变量分析强调了TTR和各种临床病理因素的重要性,包括年龄、肿瘤位置、R0切除状态、分化程度、疾病分期、术后放化疗以及术前CEA水平,这些都是重要的预后指标。术后生存列线图在内部和外部评估时,在多个指标上表现出色,包括受试者操作特征曲线(AUC)下面积、校准图和决策曲线分析(DCA)。与其他模型相比,结合TTR的比例风险模型在预后列线图的C指数、AUC、校准图和DCA方面表现更优。
术前TTR被确定为预测接受手术治疗的结直肠癌患者长期预后的预后因素,支持其在临床实践中作为预后生物标志物的作用。