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基于2018年国际妇产科联盟(FIGO)分期系统的预测同步放化疗治疗宫颈癌患者生存情况的列线图

Nomograms Predicting Survival of Cervical Cancer Patients Treated With Concurrent Chemoradiotherapy Based on the 2018 FIGO Staging System.

作者信息

Meng Qingyu, Wang Weiping, Liu Xiaoliang, Wang Dunhuang, Zhang Fuquan

机构信息

Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.

出版信息

Front Oncol. 2022 May 11;12:870670. doi: 10.3389/fonc.2022.870670. eCollection 2022.

Abstract

BACKGROUND

In 2018, a revised staging system was released for cervical cancer, which defined pelvic and paraaortic lymph node metastasis as stages IIIC1 and IIIC2, respectively. In this study, we constructed and validated nomograms to predict the 3- and 5-year survival of patients with cervical cancer based on the revised International Federation of Gynecology and Obstetrics (FIGO) staging system.

METHODS

We retrospectively examined patients with 2009 FIGO stage IB-IVA cervical cancer who were treated at our institute between 2011 and 2015. Patients were randomized into the model development and validation cohorts (2:1). Univariate and multivariate analyses were conducted for the model development cohort to identify prognostic factors. In the multivariate analysis, nomograms were built to predict overall survival (OS) and disease-free survival (DFS) using significant variables. The nomograms were assessed based on the discrimination and calibration in both cohorts. Discrimination was assessed using the concordance index. Calibration was performed by comparing the mean nomogram estimated survival and the mean observed survival.

RESULTS

We included 1,192 patients, with 795 and 397 patients in the model development and validation cohorts, respectively. In the model development cohort, the median follow-up period was 49.2 months. After multivariate analysis, age, histology, 2018 FIGO stage, and pelvic lymph node number were independent factors for OS. Histology, 2018 FIGO stage, squamous cell carcinoma antigen, and pelvic lymph node number were significant predictors of DFS. The nomograms constructed to predict OS and DFS were based on these factors. In both model cohorts, the concordance index for the nomogram-predicted OS and DFS was 0.78 and 0.75 and 0.74 and 0.67, respectively. The calibration curve revealed good agreement between the nomogram predictions and actual values.

CONCLUSION

We constructed robust nomograms to predict the OS and DFS of patients with cervical cancer undergoing treatment with concurrent chemoradiotherapy based on the 2018 FIGO staging system.

摘要

背景

2018年发布了宫颈癌修订分期系统,该系统将盆腔和腹主动脉旁淋巴结转移分别定义为IIIC1期和IIIC2期。在本研究中,我们构建并验证了列线图,以基于修订后的国际妇产科联盟(FIGO)分期系统预测宫颈癌患者的3年和5年生存率。

方法

我们回顾性研究了2011年至2015年在我院接受治疗的2009年FIGO IB-IVA期宫颈癌患者。患者被随机分为模型开发和验证队列(2:1)。对模型开发队列进行单因素和多因素分析以确定预后因素。在多因素分析中,使用显著变量构建列线图以预测总生存期(OS)和无病生存期(DFS)。基于两个队列中的区分度和校准度对列线图进行评估。使用一致性指数评估区分度。通过比较列线图估计的平均生存率和观察到的平均生存率进行校准。

结果

我们纳入了1192例患者,模型开发队列和验证队列分别有795例和397例患者。在模型开发队列中,中位随访期为49.2个月。多因素分析后,年龄、组织学类型、2018年FIGO分期和盆腔淋巴结数量是OS的独立因素。组织学类型、2018年FIGO分期、鳞状细胞癌抗原和盆腔淋巴结数量是DFS的显著预测因素。基于这些因素构建了预测OS和DFS的列线图。在两个模型队列中,列线图预测的OS和DFS的一致性指数分别为0.78和0.75以及0.74和0.67。校准曲线显示列线图预测值与实际值之间具有良好的一致性。

结论

我们构建了可靠的列线图,以基于2018年FIGO分期系统预测接受同步放化疗的宫颈癌患者的OS和DFS。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d793/9130963/0bb65cfbdffe/fonc-12-870670-g001.jpg

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