Zhao Haiyun, Xu Fei, Li Jiajia, Ni Mengdong, Wu Xiaohua
Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Front Oncol. 2020 Sep 25;10:571671. doi: 10.3389/fonc.2020.571671. eCollection 2020.
The purpose of this study was to analyze the incidence, clinical characteristics, prognostic factors and survival of ovarian cancer patients with liver metastases upon initial diagnosis. Patients with ovarian cancer liver metastases upon initial diagnosis between 2010 and 2016 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate logistic regression was performed to identify the predictors of the presence of liver metastases in newly diagnosed ovarian cancer patients. Overall survival (OS) was assessed using the Kaplan-Meier method and log-rank test. Univariate and multivariate Cox regression was conducted to determine the independent prognostic factors for OS. A total of 1,744 ovarian cancer patients with liver metastases was identified from the SEER database, accounting for 6.7% of the entire ovarian cancer patients. As to the unique distant organ provided by SEER, liver was the most common metastatic site of ovarian cancer (4.65%). Age, race, laterality, histology, pathological grade, extrahepatic sites, stage of tumor were the predictors of the presence with liver metastases revealed by multivariable logistic regression model. Median OS for the patients with liver metastases at initial diagnosis of ovarian cancer was 16.0 months. Multivariate Cox regression model confirmed race, histology, extrahepatic metastatic sites, surgery and marital status were independent prognostic factors for OS. The study provided population-based estimates of the incidence and prognosis of newly diagnosed ovary cancer patients with liver metastases, which could be potentially used for the risk assessment and individualized treatment.
本研究的目的是分析初诊时伴有肝转移的卵巢癌患者的发病率、临床特征、预后因素及生存率。从监测、流行病学和最终结果（SEER）数据库中识别出2010年至2016年初诊时伴有卵巢癌肝转移的患者。进行单因素和多因素逻辑回归分析，以确定新诊断卵巢癌患者肝转移的预测因素。采用Kaplan-Meier法和对数秩检验评估总生存期（OS）。进行单因素和多因素Cox回归分析，以确定OS的独立预后因素。从SEER数据库中识别出1744例伴有肝转移的卵巢癌患者，占整个卵巢癌患者的6.7%。就SEER提供的唯一远处器官而言，肝脏是卵巢癌最常见的转移部位（4.65%）。年龄、种族、肿瘤侧别、组织学类型、病理分级、肝外转移部位、肿瘤分期是多因素逻辑回归模型显示的肝转移存在的预测因素。初诊时伴有肝转移的卵巢癌患者的中位OS为16.0个月。多因素Cox回归模型证实种族、组织学类型、肝外转移部位、手术和婚姻状况是OS的独立预后因素。本研究提供了基于人群的初诊时伴有肝转移的卵巢癌患者的发病率和预后估计，这可能潜在地用于风险评估和个体化治疗。
