Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
Artificial Joints Engineering and Technology Research Center of Jiangxi Province, Nanchang, 330006, Jiangxi, China.
Sci Rep. 2021 Nov 22;11(1):22723. doi: 10.1038/s41598-021-02134-0.
Ewing's sarcoma is a high-grade malignancy bone and soft tissue tumor that most commonly occurs in children and adolescents. Although the overall prognosis of Ewing's sarcoma has improved, the 5-year survival rate has not improved significantly. The study aimed to determine the risk factors independently associated with the prognosis of Ewing's sarcoma and to construct a nomogram to predict patient survival. Patients diagnosed with Ewing's sarcoma were collected from the Surveillance, Epidemiology, and End Results program database between 2004 and 2015 and further divided into training and validation cohort. Univariate and multivariate Cox regression analyses were used to identify meaningful independent prognostic factors. The nomogram was used to predict 3- and 5-year overall survival (OS) and cancer-specific survival (CSS). Finally, the nomogram was verified internally and externally through the training and validation cohorts, and the predictive capability was evaluated using the receiver operating characteristic (ROC) curve, C-index, and calibration curve and compared with that of the 7th TNM stage. A total of 1120 patients were divided into training (n = 713) and validation (n = 407) cohorts. Based on the multivariate analysis of the training cohort, a nomogram that integrated age, tumor size, primary site, N stage, and M stage was constructed (P < 0.05). The predicted C-indexes of OS and CSS of the training cohort were 0.744 (95% CI 0.717-0.771) and 0.743 (95% CI 0.715-0.770), respectively. However, the TNM stage had a C-index of 0.695 (95% CI 0.666-0.724) and 0.698 (95% CI 0.669-0.727) for predicting OS and CSS, respectively. The nomogram showed higher C-indexes than those in the TNM stage. Furthermore, the internal and external calibration curves showed good consistency between the predicted and observed values. Age, tumor size, primary site, N stage, and M stage are independent risk factors affecting the OS and CSS in Ewing's sarcoma patients. Compared with the 7th TNM staging, the nomogram consisting of these factors was more accurate for risk assessment and survival prediction in patients with Ewing's sarcoma, thus providing a novel reliable tool for risk assessment and survival prediction in Ewing's sarcoma patients.
尤因氏肉瘤是一种高级别恶性骨和软组织肿瘤,最常见于儿童和青少年。尽管尤因氏肉瘤的整体预后有所改善,但 5 年生存率并未显著提高。本研究旨在确定与尤因氏肉瘤预后相关的独立危险因素,并构建一个列线图来预测患者的生存情况。从 2004 年至 2015 年,从监测、流行病学和最终结果(SEER)数据库中收集了诊断为尤因氏肉瘤的患者,并进一步分为训练和验证队列。使用单因素和多因素 Cox 回归分析来确定有意义的独立预后因素。使用列线图预测 3 年和 5 年总生存率(OS)和癌症特异性生存率(CSS)。最后,通过训练和验证队列内部和外部验证列线图,并通过接收者操作特征(ROC)曲线、C 指数和校准曲线来评估预测能力,并与第 7 版 TNM 分期进行比较。总共 1120 名患者被分为训练组(n=713)和验证组(n=407)。基于训练队列的多因素分析,构建了一个包含年龄、肿瘤大小、原发部位、N 分期和 M 分期的列线图(P<0.05)。训练队列中 OS 和 CSS 的预测 C 指数分别为 0.744(95%CI 0.717-0.771)和 0.743(95%CI 0.715-0.770)。然而,TNM 分期对 OS 和 CSS 的 C 指数分别为 0.695(95%CI 0.666-0.724)和 0.698(95%CI 0.669-0.727)。列线图的 C 指数高于 TNM 分期。此外,内部和外部校准曲线显示预测值与观察值之间具有良好的一致性。年龄、肿瘤大小、原发部位、N 分期和 M 分期是影响尤因氏肉瘤患者 OS 和 CSS 的独立危险因素。与第 7 版 TNM 分期相比,由这些因素组成的列线图在评估尤因氏肉瘤患者的风险和生存预测方面更为准确,从而为尤因氏肉瘤患者的风险评估和生存预测提供了一种新的可靠工具。