Bai Yuqin, Lei Na, Zhang Pan, Yang Qian, Feng Fei, Zhao Yue
The First Clinical Medical College, Lanzhou University, Lanzhou, China.
Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Transl Cancer Res. 2025 Mar 30;14(3):1576-1595. doi: 10.21037/tcr-24-2018. Epub 2025 Mar 4.
Distant metastasis is uncommon in colorectal neuroendocrine neoplasms (CRNENs). However, the prognosis of patients with distant metastasis is often poor, so it is crucial to detect distant metastasis in time. This article aims to study the risk factors and prognostic factors for the development of distant metastasis in patients with CRNENs and to construct two related nomograms.
Patient data were obtained through the Surveillance, Epidemiology, and End Results (SEER) database, and the inclusion population was identified according to inclusion and exclusion criteria. Logistic regression analysis was used to determine risk factors for distant metastasis in patients with CRNENs. Cox regression analysis was utilized to identify prognostic factors in patients with CRNENs with distant metastasis. Two nomograms were created and the predictive performance of the nomogram was evaluated using receiver operating characteristic (ROC) curves, the calibration curve, and decision curve analysis (DCA) curves.
We included 9,142 patients with CRNENs and 859 patients with distant metastasis. Age, race, marital status, primary site, histological grade, T stage, N stage, and tumor size were independent risk factors. Age, primary site, histological grade, N stage, tumor size, dissected lymph nodes, and surgery were independent prognostic factors. The constructed nomogram can predict the occurrence and prognosis of distant metastasis in patients with CRNENs.
The nomogram developed in this paper may contribute to the diagnosis and prognosis of distant metastasis in patients with CRNENs and may help clinicians make better clinical decisions.
远处转移在结直肠神经内分泌肿瘤（CRNENs）中并不常见。然而，发生远处转移的患者预后往往较差，因此及时检测远处转移至关重要。本文旨在研究CRNENs患者发生远处转移的危险因素和预后因素，并构建两个相关的列线图。
通过监测、流行病学和最终结果（SEER）数据库获取患者数据，并根据纳入和排除标准确定纳入人群。采用Logistic回归分析确定CRNENs患者远处转移的危险因素。利用Cox回归分析确定发生远处转移的CRNENs患者的预后因素。创建了两个列线图，并使用受试者工作特征（ROC）曲线、校准曲线和决策曲线分析（DCA）曲线评估列线图的预测性能。
我们纳入了9142例CRNENs患者和859例发生远处转移的患者。年龄、种族、婚姻状况、原发部位、组织学分级、T分期、N分期和肿瘤大小是独立的危险因素。年龄、原发部位、组织学分级、N分期、肿瘤大小、清扫淋巴结数量和手术是独立的预后因素。构建的列线图可以预测CRNENs患者远处转移的发生和预后。
本文开发的列线图可能有助于CRNENs患者远处转移的诊断和预后评估，并可能帮助临床医生做出更好的临床决策。
