Zhou Liangjing, Cao Gaoyang, Shi Liming, Fei Chunrong, Lao Weifeng
Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Department of Colorectal Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Front Oncol. 2025 Jul 18;15:1483065. doi: 10.3389/fonc.2025.1483065. eCollection 2025.
Global cancer statistics indicate colorectal cancer as the second leading cause of cancer-related deaths, with rectal cancer accounting for approximately 30% of cases. Despite neoadjuvant chemoradiotherapy (nCRT) being standard for locally advanced rectal cancer (LARC), only 10-30% of patients achieve pathologic complete response (pCR). The aim of this research was to identify variables for predicting pCR in rectal cancer patients after nCRT.
This retrospective study analyzed 285 LARC patients treated with nCRT and total mesorectal excision (TME). Univariate and multivariate logistic regression was performed to identify the association between clinicopathological characteristics and pCR. A nomogram based on the univariate logistics regression was built to estimate the likelihood of pCR prior to treatment decisions.
Univariate logistic regression revealed a significant association between pCR and multiple factors, including histology, CEA levels, clinical N stage, circumferential resection margin (CRM), and the neutrophil-to-lymphocyte ratio (NLR). Upon further multivariate logistic regression, histology, CEA levels, and NLR emerged as the independent predictive factors. A predictive nomogram was developed based on these factors, achieving good predictive ability with an AUC of 0.786.
Clinical factors including histology, CEA levels, clinical N stage, circumferential resection margin, and NLR are important predictors of treatment response to nCRT for locally advanced rectal cancer. Furthermore, the developed nomogram aims to facilitate individualized and more effective treatment planning.
全球癌症统计数据表明,结直肠癌是癌症相关死亡的第二大主要原因,其中直肠癌约占病例的30%。尽管新辅助放化疗(nCRT)是局部晚期直肠癌(LARC)的标准治疗方法,但只有10%-30%的患者实现病理完全缓解(pCR)。本研究的目的是确定预测nCRT后直肠癌患者pCR的变量。
这项回顾性研究分析了285例接受nCRT和全直肠系膜切除术(TME)治疗的LARC患者。进行单因素和多因素逻辑回归分析,以确定临床病理特征与pCR之间的关联。基于单因素逻辑回归建立了一个列线图,用于在治疗决策前估计pCR的可能性。
单因素逻辑回归显示pCR与多个因素之间存在显著关联,包括组织学、癌胚抗原(CEA)水平、临床N分期、环周切缘(CRM)和中性粒细胞与淋巴细胞比值(NLR)。进一步进行多因素逻辑回归分析后,组织学、CEA水平和NLR成为独立的预测因素。基于这些因素开发了一个预测列线图,其曲线下面积(AUC)为0.786,具有良好的预测能力。
包括组织学、CEA水平、临床N分期、环周切缘和NLR在内的临床因素是局部晚期直肠癌对nCRT治疗反应的重要预测指标。此外,所开发的列线图旨在促进个体化和更有效的治疗规划。