The prevalence, associated factors for bone metastases development and prognosis in newly diagnosed ovarian cancer: a large population based real-world study
The prevalence, associated factors for bone metastases development and prognosis in newly diagnosed ovarian cancer: a large population based real-world study
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新诊断卵巢癌的患病率、骨转移发展和预后的相关因素：一项基于大量人群的真实世界研究
DOI：
10.7150/jca.30335
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发表时间：
2019-01-01
影响因子：
3.9
通讯作者：
Ma, Yulin
中科院分区：
文献类型：
--
作者：
Zhang, Chao;Guo, Xu;Ma, Yulin
背景：卵巢癌（OC）是女性最常见的恶性肿瘤之一。晚期骨转移（BM）通常导致预后不良。我们的目的是评估卵巢癌患者复发性脑脊髓瘤的患病率及相关因素和预后。材料和方法：本研究是一项队列研究，使用了美国国家癌症研究所的监测、流行病学和最终结果（SEER）数据库。本研究纳入了2010年至2015年间诊断的SEER记录的OC患者。采用单变量和多变量logistic回归分析来确定BM发展的相关因素。Kaplan-Meier分析用于估计总生存率，多变量比例风险回归用于确定OC合并BM患者的预后因素。结果：本研究共纳入32,178例符合条件的OC患者，新发BM患病率为1.09% （N=352）。非浆液组织学[优势比(OR)=3.05；95% ci: 1.63-5.72；P=0.001]， T2/T1期（OR=3.39; 95% CI: 1.11-10.33； P=0.03）， N1/N0期(OR=3.17; 95% CI: 1.72-5.84
Background: Ovarian cancer (OC) is one of the most common malignancies in women. Advanced bone metastases (BM) commonly result in the poor prognosis. We aim to evaluate the prevalence and associated factors for the de novo BM development and prognosis in OC.Materials and methods: The present study was a cohort study that used the United States based National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) database. SEER documented OC patients, diagnosed between 2010 and 2015, were included in the present study. Univariable and multivariable logistic regression analyses were employed to identify associated factors for BM development. Kaplan-Meier analysis was used to estimate the overall survival and multivariable proportional hazard regression was used to identify the prognostic factors for OC patients with BM.Results: A total of 32,178 eligible OC patients were included in the present study, the prevalence of de novo BM was 1.09% (N=352). Non-serous histology [Odds Ratio (OR)=3.05; 95% CI: 1.63-5.72; P=0.001], T2/T1 stage (OR=3.39; 95% CI: 1.11-10.33; P=0.03), N1/N0 stage (OR=3.17; 95% CI: 1.72-5.84; P