Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
J Invest Surg. 2024 Jan 8;37(1):2302564. doi: 10.1080/08941939.2024.2302564. Epub 2024 Jan 17.
Limited attention was paid to focus on rectal melanomas (RM). This study aimed to evaluate the survival rate and prognostic factors of RM.
The data for patients with RM from Surveillance, Epidemiology, and End Results (SEER) database were used to analyze tumor survival. Kaplan-Meier method and log-rank test were employed to estimate cancer-specific survival (CSS) and overall survival (OS). A nomogram was established based on the risk factors of survival by the forest plot for multivariate Cox regression analysis. Receiver operating characteristic (ROC) and calibration curve were conducted for validation.
A total of 187 patients with RM were selected to perform survival analyses. The median survival time of OS was 12 months (range: 0-146 months), and the median survival time of CSS was 12 months (range: 0-74 months). Patients' age, tumor size, stage, the number of nodes examined, surgery, and radiation were identified as prognostic indicators for CSS by the forest plot for multivariate Cox regression analysis. The nomogram was validated as a reliable model for CSS.
Clinicopathologic relevance with tumor prognosis was confirmed in this study. Our nomogram can provide a relatively accurate prediction of the survival rate of patients with RM.
对直肠黑色素瘤（RM）的关注有限。本研究旨在评估 RM 的生存率和预后因素。
使用监测、流行病学和最终结果（SEER）数据库中 RM 患者的数据来分析肿瘤生存情况。采用 Kaplan-Meier 法和对数秩检验估计癌症特异性生存率（CSS）和总生存率（OS）。根据多因素 Cox 回归分析的森林图，建立基于生存风险因素的列线图。进行 ROC 和校准曲线验证。
共选择 187 例 RM 患者进行生存分析。OS 的中位生存时间为 12 个月（范围：0-146 个月），CSS 的中位生存时间为 12 个月（范围：0-74 个月）。多因素 Cox 回归分析的森林图显示，患者年龄、肿瘤大小、分期、检查的淋巴结数量、手术和放疗是 CSS 的预后指标。该列线图被验证为 CSS 可靠的预测模型。
本研究证实了与肿瘤预后相关的临床病理相关性。我们的列线图可以为 RM 患者的生存率提供相对准确的预测。
