Department of Orthopaedics, Hangzhou Lin'an Traditional Chinese Medicine Hospital, Hangzhou, Zhejiang, China.
Department of Orthopaedics, Xuzhou Central hospital, Xuzhou, Jiangsu, China.
Medicine (Baltimore). 2022 Jul 29;101(30):e29969. doi: 10.1097/MD.0000000000029969.
Limb epithelioid sarcoma (LES) is a rare and aggressive soft tissue sarcoma, which is scarcely reported. Therefore, the current study was performed to analyze the clinicopathologic features and risk factors of survival among patients with LES. By using the Surveillance, Epidemiology, and End Results database, data were obtained regarding patients who were diagnosed with LES for the period between 2010 and 2016. We first analyzed overall survival (OS) and cancer-specific survival (CSS) by applying univariate Cox regression analysis. Then we performed multivariate analysis to confirm independent predictors of survival. In total, we identified 475 patients with LES for survival analysis, of which 291 were males (61.3%) and 184 females (38.7%). The mean and median age at diagnosis were 38 and 36 years, respectively. The 5-year OS and CSS rates among Patients with LES were 65.4% and 69.5%, respectively. Gender, age, tumor stage, tumor size, and treatment type were significant predictors of OS on both univariate and multivariate analyses (P < .05). As for CSS, multivariable analysis revealed that age <60 years, localized stage, and tumor size <5 cm were significantly associated with increased survival (P < .05). Predictors of improved survival for LES patients include gender, age, tumor stage, tumor size, and treatment type. Surgery only was recommended for treating LES patients. Future studies are warranted to determine effective treatment types for LES patients.
肢体上皮样肉瘤（LES）是一种罕见且侵袭性强的软组织肉瘤，罕有报道。因此，本研究旨在分析 LES 患者的临床病理特征和生存风险因素。通过使用监测、流行病学和最终结果（SEER）数据库，获得了 2010 年至 2016 年间诊断为 LES 的患者数据。我们首先通过单因素 Cox 回归分析分析总生存（OS）和癌症特异性生存（CSS）。然后，我们进行多因素分析以确认生存的独立预测因素。共有 475 例 LES 患者进行生存分析，其中 291 例为男性（61.3%），184 例为女性（38.7%）。诊断时的平均和中位年龄分别为 38 岁和 36 岁。LES 患者的 5 年 OS 和 CSS 率分别为 65.4%和 69.5%。性别、年龄、肿瘤分期、肿瘤大小和治疗类型在单因素和多因素分析中均为 OS 的显著预测因素（P<0.05）。对于 CSS，多变量分析显示年龄<60 岁、局限性分期和肿瘤大小<5cm 与生存率增加显著相关（P<0.05）。改善 LES 患者生存的预测因素包括性别、年龄、肿瘤分期、肿瘤大小和治疗类型。仅手术被推荐用于治疗 LES 患者。未来的研究需要确定 LES 患者的有效治疗类型。
