Sun Jia-Chun, Yang Zi-Han, Shi Hao-Lin, Wei Ting-Ting, Sun Bo, Su Jing-Xiang, Liu Hong-Yan, Wang Qing-Feng, Li Xin-Yang
Henan Key Laboratory of Cancer Epigenetics, Cancer Institute, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology Luoyang 471003, Henan, China.
School of Basic Medical Sciences, Henan University of Science and Technology Luoyang 471023, Henan, China.
Am J Transl Res. 2025 Aug 15;17(8):6191-6202. doi: 10.62347/VHRY6983. eCollection 2025.
Primary pulmonary hemangiosarcoma (PPHS) is an extraordinarily rare disorder. The objective of this study was to investigate the demographic characteristics and prognostic factors of patients with PPHS. Patients diagnosed with PPHS between 2000 and 2020 based on data from the Surveillance, Epidemiology, and End Results (SEER) database were retrospectively analyzed. Survival analysis was performed using the survival package of R (4.2.0). Univariate and multivariate Cox proportional hazards models were used to analyze independent prognostic factors. A nomogram was constructed by the R Regression Modeling Strategies (rms) package. A total of 123 patients with PPHS were included in this study; their mean survival time was 13.8 months. Further investigation revealed that the disease-specific survival rates of patients with PPHS at 1, 2, 3, and 5 years were 20.17%, 14.29%, 10.08%, and 5.88% respectively. In the regression analysis, age, tumor status, and treatment were identified as risk factors for patients with PPHS. In addition, chemotherapy was crucial for the treatment of patients with PPHS (P < 0.05). Finally, the nomogram we constructed to predict 0.5-, 1-, 2-, and 3-year disease-specific survival in patients with PPHS showed good accuracy (concordance index: 0.769). Age, tumor laterality, and tumor size were independent factors affecting the prognosis of patients with PPHS, and chemotherapy may significantly improve the long-term prognosis.
原发性肺血管肉瘤(PPHS)是一种极其罕见的疾病。本研究的目的是调查PPHS患者的人口统计学特征和预后因素。基于监测、流行病学和最终结果(SEER)数据库的数据,对2000年至2020年间诊断为PPHS的患者进行回顾性分析。使用R(4.2.0)的生存包进行生存分析。单因素和多因素Cox比例风险模型用于分析独立的预后因素。通过R回归建模策略(rms)包构建列线图。本研究共纳入123例PPHS患者;他们的平均生存时间为13.8个月。进一步调查显示,PPHS患者1年、2年、3年和5年的疾病特异性生存率分别为20.17%、14.29%、10.08%和5.88%。在回归分析中,年龄、肿瘤状态和治疗被确定为PPHS患者的危险因素。此外,化疗对PPHS患者的治疗至关重要(P<0.05)。最后,我们构建的用于预测PPHS患者0.5年、1年、2年和3年疾病特异性生存的列线图显示出良好的准确性(一致性指数:0.769)。年龄、肿瘤侧别和肿瘤大小是影响PPHS患者预后的独立因素,化疗可能显著改善长期预后。