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文章:

恶性孤立性纤维性肿瘤的人口统计学与临床特征:基于SEER数据库的分析

Demographic and Clinical Characteristics of Malignant Solitary Fibrous Tumors: A SEER Database Analysis

原文发布日期:29 September 2024

DOI: 10.3390/cancers16193331

类型: Article

开放获取: 是

 

英文摘要:

Background/Objectives: Solitary fibrous tumors (SFTs) represent a rare mesenchymal malignancy that can occur anywhere in the body. Due to the low prevalence of the disease, there is a lack of contemporary data regarding patient demographics and cancer-control outcomes. Methods: Within the SEER database (2000–2019), we identified 1134 patients diagnosed with malignant SFTs. The distributions of patient demographics and tumor characteristics were tabulated. Cumulative incidence plots and competing risks analyses were used to estimate cancer-specific mortality (CSM) after adjustment for other-cause mortality. Results: Of 1134 SFT patients, 87% underwent surgical resection. Most of the tumors were in the chest (28%), central nervous system (22%), head and neck (11%), pelvis (11%), extremities (10%), abdomen (10%) and retroperitoneum (6%), in that order. Stage was distributed as follows: localized (42%) vs. locally advanced (35%) vs. metastatic (13%). In multivariable competing risks models, independent predictors of higher CSM were stage (locally advanced HR: 1.6; metastatic HR: 2.9), non-surgical management (HR: 3.6) and tumor size (9–15.9 cm HR: 1.6; ≥16 cm HR: 1.9). Conclusions: We validated the importance of stage and surgical resection as independent predictors of CSM in malignant SFTs. Moreover, we provide novel observations regarding the independent importance of tumor size, regardless of the site of origin, stage and/or surgical resection status.

 

摘要翻译: 

背景/目的:孤立性纤维瘤是一种罕见的间叶组织恶性肿瘤,可发生于全身任何部位。由于该疾病发病率较低,目前缺乏关于患者人口统计学特征及肿瘤控制结局的当代数据。方法:基于SEER数据库(2000-2019年),我们共识别出1134例确诊为恶性孤立性纤维瘤的患者。通过制表分析患者人口统计学特征与肿瘤特征的分布情况。采用累积发病率曲线和竞争风险分析模型,在调整其他原因死亡率后评估肿瘤特异性死亡率。结果:在1134例孤立性纤维瘤患者中,87%接受了手术切除。肿瘤部位分布依次为:胸部(28%)、中枢神经系统(22%)、头颈部(11%)、盆腔(11%)、四肢(10%)、腹部(10%)及腹膜后(6%)。分期分布情况为:局限性病变(42%)、局部进展期(35%)和转移性病变(13%)。在多变量竞争风险模型中,肿瘤特异性死亡率的独立预测因素包括:分期(局部进展期风险比:1.6;转移性病变风险比:2.9)、非手术治疗(风险比:3.6)以及肿瘤大小(9-15.9厘米风险比:1.6;≥16厘米风险比:1.9)。结论:本研究证实了分期和手术切除作为恶性孤立性纤维瘤肿瘤特异性死亡率独立预测因素的重要性。此外,我们首次提出肿瘤大小具有独立预测价值,这一发现不受肿瘤原发部位、分期和/或手术切除状态的影响。

 

原文链接:

Demographic and Clinical Characteristics of Malignant Solitary Fibrous Tumors: A SEER Database Analysis

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