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Stratification of risk groups according to survival after recurrence in endometrial cancer patients

机译:子宫内膜癌患者根据复发后生存率的高危人群分层

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To identify prognostic factors for overall survival after recurrence (OSr) in endometrioid endometrial cancer (EC) patients and categorize patient subgroups that predict outcomes using these variables. Consecutive patients with recurrent endometrioid EC seen in our institution from 1989 to 2013 were retrospectively reviewed. Cox regression models were used to identify the clinicopathological factors associated with OSr. By summing scores proportionate to the hazard ratio (HR) for each significant variable, we stratified patients into 3 risk groups. Enrolled patients (n = 108) had a median time to recurrence of 15 (range, 3–163) months after initial treatment and a median OSr of 22 (range, 1–207) months. Twenty patients (18.5%) had locoregional recurrence, and 88 (81.5%) distant. One hundred three patients underwent salvage therapy; 51 (47.2%) received chemotherapy only, 22 (20.3%) received radiotherapy either alone or combined with chemotherapy, and 29 (26.9%) underwent salvage cytoreductive surgery. Multivariate regression analysis revealed that time to relapse after initial treatment, cancer antigen-125 level at recurrence, and the number of recurrent lesions were independent predictors of OSr. Incorporating these factors, we stratified patients into low-risk (n = 19), intermediate-risk (n = 43), and high-risk (n = 46) groups. The likelihood of cancer-specific death was higher in both the high-risk (HR = 8.948, 95% confidence interval [CI] = 3.498–22.893, P < .001) and the intermediate-risk (HR = 2.619, 95% CI = 1.002–6.850, P = .05) groups compared with the low-risk group. Incorporating 3 variables, recurrent endometrioid EC patients with a broad spectrum of outcome could be stratified according to OSr. This model may help predict outcomes in recurrent EC patients.
机译:为了确定子宫内膜样子宫内膜癌(EC)患者复发(OSr)后总体生存的预后因素,并使用这些变量对可预测结果的患者亚类进行分类。回顾性分析1989年至2013年在我院就诊的连续性子宫内膜异位EC患者。使用Cox回归模型确定与OSr相关的临床病理因素。通过将与每个显着变量的风险比(HR)成比例的分数相加,我们将患者分为3个风险组。入组患者(n = 108)在初次治疗后的中位复发时间为15(3–163)个月,OSr中位值为22(1–207)个月。局部复发20例(18.5%),远处88例(81.5%)。一百零三名患者接受了抢救治疗; 51(47.2%)只接受化学疗法,22(20.3%)接受单独或联合化疗的放疗,29(26.9%)人接受了挽救性细胞减灭术。多元回归分析显示,初始治疗后的复发时间,复发时的癌症抗原125水平和复发病灶的数量是OSr的独立预测因子。结合这些因素,我们将患者分为低风险(n = 19),中风险(n = 43)和高风险(n = 46)组。在高风险(HR = 8.948,95%置信区间[CI] = 3.498–22.893,P <.001)和中度风险(HR = 2.619,95%CI)中,癌症特异性死亡的可能性均较高。 = 1.002–6.850,P = 0.05)组与低风险组相比。纳入3个变量后,可以根据OSr对具有广泛预后的复发性子宫内膜异位EC患者进行分层。该模型可能有助于预测复发性EC患者的结局。

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