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采用贝叶斯亚组分析评估辅助治疗对滑膜肉瘤患者的条件治疗效果。

Evaluation of conditional treatment effects of adjuvant treatments on patients with synovial sarcoma using Bayesian subgroup analysis.

机构信息

Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Department of Industrial Engineering, Artificial Intelligence Graduate School, UNIST, Ulsan, Korea.

出版信息

BMC Med Inform Decis Mak. 2020 Dec 3;20(1):320. doi: 10.1186/s12911-020-01305-9.

Abstract

BACKGROUND

The impact of adjuvant chemotherapy or radiation therapy on the survival of patients with synovial sarcoma (SS), which is a rare soft-tissue sarcoma, remains controversial. Bayesian statistical approaches and propensity score matching can be employed to infer treatment effects using observational data. Thus, this study aimed to identify the individual treatment effects of adjuvant therapies on the overall survival of SS patients and recognize subgroups of patients who can benefit from specific treatments using Bayesian subgroup analyses.

METHODS

We analyzed data from patients with SS obtained from the surveillance, epidemiology, and end results (SEER) public database. These data were collected between 1984 and 2014. The treatment effects of chemotherapy and radiation therapy on overall survival were evaluated using propensity score matching. Subgroups that could benefit from radiation therapy or chemotherapy were identified using Bayesian subgroup analyses.

RESULTS

Based on a stratified Kaplan-Meier curve, chemotherapy exhibited a positive average causal effect on survival in patients with SS, whereas radiation therapy did not. The optimal subgroup for chemotherapy includes the following covariates: older than 20 years, male, large tumor (longest diameter > 5 cm), advanced stage (SEER 3), extremity location, and spindle cell type. The optimal subgroup for radiation therapy includes the following covariates: older than 20 years, male, large tumor (longest diameter > 5 cm), early stage (SEER 1), extremity location, and biphasic type.

CONCLUSION

In this study, we identified high-risk patients whose variables include age (age > 20 years), gender, tumor size, tumor location, and poor prognosis without adjuvant treatment. Radiation therapy should be considered in the early stages for high-risk patients with biphasic types. Conversely, chemotherapy should be considered for late-stage high-risk SS patients with spindle cell types.

摘要

背景

辅助化疗或放疗对滑膜肉瘤(SS)患者生存的影响仍存在争议,滑膜肉瘤是一种罕见的软组织肉瘤。贝叶斯统计方法和倾向评分匹配可用于使用观察数据推断治疗效果。因此,本研究旨在确定辅助治疗对 SS 患者总生存的个体治疗效果,并通过贝叶斯亚组分析识别可从特定治疗中获益的患者亚组。

方法

我们分析了从 1984 年至 2014 年期间监测、流行病学和最终结果(SEER)公共数据库中获得的 SS 患者数据。使用倾向评分匹配评估化疗和放疗对总生存的治疗效果。使用贝叶斯亚组分析确定可从放疗或化疗中获益的亚组。

结果

基于分层 Kaplan-Meier 曲线,化疗对 SS 患者的生存具有积极的平均因果效应,而放疗则没有。化疗的最佳亚组包括以下协变量:年龄大于 20 岁、男性、大肿瘤(最长直径>5cm)、晚期(SEER 3)、肢体部位和梭形细胞类型。放疗的最佳亚组包括以下协变量:年龄大于 20 岁、男性、大肿瘤(最长直径>5cm)、早期(SEER 1)、肢体部位和双相型。

结论

在这项研究中,我们确定了高风险患者,其变量包括年龄(年龄>20 岁)、性别、肿瘤大小、肿瘤位置和无辅助治疗的不良预后。对于双相型高危患者,应在早期考虑放疗。相反,对于具有梭形细胞类型的晚期高危 SS 患者,应考虑化疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/000f/7712601/25fd628d0c85/12911_2020_1305_Fig1_HTML.jpg

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