Song Zixuan, Wang Yizi, Zhou Yangzi, Zhang Dandan
Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Front Oncol. 2020 Dec 14;10:620240. doi: 10.3389/fonc.2020.620240. eCollection 2020.
Endometrial carcinoma is a common gynecological malignancy. Stage IV endometrial carcinoma is associated with a high risk of early death; however, there is currently no effective prognostic tool to predict early death in stage IV endometrial cancer.
Surveillance, Epidemiology, and End Results (SEER) data from patients with stage IV endometrial cancer registered between 2004 and 2015 were used in this study. Important independent prognostic factors were identified by univariate and multivariate logistic regression analyses. A nomogram of all-cause and cancer-specific early deaths was constructed using relevant risk factors such as tumor size, histological grade, histological classification, and treatment (surgery, radiotherapy, chemotherapy).
A total of 2,040 patients with stage IV endometrial carcinoma were included in this study. Of these, 299 patients experienced early death (≤3 months) and 282 died from cancer-specific causes. The nomogram of all-cause and cancer-specific early deaths showed good predictive power and clinical practicality with respect to the area under the receiver operating characteristic curve and decision curve analysis. The internal validation of the nomogram revealed a good agreement between predicted early death and actual early death.
We developed a clinically useful nomogram to predict early mortality from stage IV endometrial carcinoma using data from a large cohort. This tool can help clinicians screen high-risk patients and implement individualized treatment regimens.
子宫内膜癌是一种常见的妇科恶性肿瘤。IV期子宫内膜癌与早期死亡的高风险相关;然而,目前尚无有效的预后工具来预测IV期子宫内膜癌的早期死亡。
本研究使用了2004年至2015年间登记的IV期子宫内膜癌患者的监测、流行病学和最终结果(SEER)数据。通过单因素和多因素逻辑回归分析确定重要的独立预后因素。使用肿瘤大小、组织学分级、组织学分类和治疗(手术、放疗、化疗)等相关危险因素构建全因和癌症特异性早期死亡的列线图。
本研究共纳入2040例IV期子宫内膜癌患者。其中,299例患者发生早期死亡(≤3个月),282例死于癌症特异性原因。全因和癌症特异性早期死亡的列线图在受试者操作特征曲线下面积和决策曲线分析方面显示出良好的预测能力和临床实用性。列线图的内部验证显示预测的早期死亡与实际早期死亡之间具有良好的一致性。
我们使用来自大型队列的数据开发了一种临床上有用的列线图,以预测IV期子宫内膜癌的早期死亡率。该工具可帮助临床医生筛选高危患者并实施个体化治疗方案。