Tong Xiaoxia, Li Haoran, Chen Huiqing, Zhai Dong, Pang Yangyang, Lin Ruyin, Xu Yuan
Cancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University Shanghai 200032, China.
Department of gynaecology and obstetrics, Second Affiliated Hospital, Fujian Medicine University, 34 Zhongshan Road Licheng,Quanzhou, 362000, China.
Open Med (Wars). 2019 Mar 2;14:279-286. doi: 10.1515/med-2019-0024. eCollection 2019.
Lymphadenectomy is critical in the clinical prognosis of ovarian cancer patients. Therefore, we assessed whether lymph node ratio (LNR) has predictive value on overall survival (OS) of patients with serous epithelial ovarian cancer (SEOC). A total of 7,815 eligible SEOC patients were identified from the Surveillance, Epidemiology, and End Results (SEER) database, who underwent surgical resection between 1973 and 2013. We used the time-dependent receiver operating characteristic (ROC) curve and the area under curve to determine the optimal cut-off value of LNR. The predictive role of LNR was analyzed by Cox proportional hazards regression model. The effects of LNR and positive lymph nodes (PLN) on OS were evaluated by comparing the time-dependent ROC curves. The time-dependent ROC curves showed that the optimal LNR cut-off value was 42.0% for nodal-positive SEOC. As shown in Kaplan-Meier survival curves, survival was significantly poorer for all patients with LNR≥42.0% (log-rank test: P<0.0001), regardless of the stage. In the multivariate Cox analysis, LNR≥42.0% remained a significant and independent predictor of mortality risk for all patients [hazards ratio: 1.526, 95% confidence interval: 1.415-1.647; P<0.0001], compared with those LNR<42.0%. These results suggest that LNR, rather than the number of PLN or stage, could be regarded as a promising predictor of mortality risk, particularly in stage-III SEOC patients.
淋巴结切除术对卵巢癌患者的临床预后至关重要。因此,我们评估了淋巴结比率(LNR)对浆液性上皮性卵巢癌(SEOC)患者总生存期(OS)的预测价值。从监测、流行病学和最终结果(SEER)数据库中总共识别出7815例符合条件的SEOC患者,他们在1973年至2013年期间接受了手术切除。我们使用时间依赖性受试者工作特征(ROC)曲线和曲线下面积来确定LNR的最佳临界值。通过Cox比例风险回归模型分析LNR的预测作用。通过比较时间依赖性ROC曲线评估LNR和阳性淋巴结(PLN)对OS的影响。时间依赖性ROC曲线显示,淋巴结阳性SEOC的最佳LNR临界值为42.0%。如Kaplan-Meier生存曲线所示,所有LNR≥42.0%的患者生存率均显著较差(对数秩检验:P<0.0001),无论分期如何。在多变量Cox分析中,与LNR<42.0%的患者相比,LNR≥42.0%仍然是所有患者死亡风险的显著且独立的预测因素[风险比:1.526,95%置信区间:1.415-1.647;P<0.0001]。这些结果表明,LNR而非PLN数量或分期可被视为死亡风险的一个有前景的预测因素,尤其是在III期SEOC患者中。