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基于 SEER 数据库的远处转移型胶质母细胞瘤患者预后列线图研究。

Prognostic nomogram for glioblastoma (GBM) patients presenting with distant extension: a seer-based study.

机构信息

Department of Neurosurgery, Affiliated People's Hospital of Jiangsu University, Jiangsu, China.

Department of Rheumatology, Affiliated People's Hospital of Jiangsu University, Jiangsu, China.

出版信息

J Cancer Res Clin Oncol. 2023 Oct;149(13):11595-11605. doi: 10.1007/s00432-023-05049-7. Epub 2023 Jul 4.

DOI:10.1007/s00432-023-05049-7
PMID:37401940
Abstract

BACKGROUND

Glioblastoma (GBM) with distant extension is rarely reported. We retrieved the data of GBM patients from the SEER database to identify the prognostic factors of GBM with distant extension and constructed a nomogram to predict the overall survival (OS) of these patients.

METHODS

The data of GBM patients between 2003 and 2018 were retrieved from the SEER Database. 181 GBM patients with distant extension were randomly divided into the training cohort (n = 129) and the validation cohort (n = 52) at a ratio of 7:3. The prognostic factors associated with the OS of the GBM patients were identified through univariate and multivariate cox analyses. A nomogram was constructed based on the training cohort to predict OS, and its clinical value was verified using the validation cohort data.

RESULTS

Kaplan-Meier curves showed that the prognosis was significantly worse for GBM patients with distant extension than GBM patients without distant extension. Stage (GBM patients with distant extension) was independent prognostic factor of survival. Multivariate Cox analyses demonstrated that age, surgery, radiotherapy and chemotherapy were independent risk factors for OS of GBM patients presenting with distant extension. The C-indexes of the nomogram for predicting OS were 0.755 (95% CI 0.713-0.797) and 0.757 (95% CI 0.703-0.811) for the training and validation cohorts, respectively. The calibration curves of both cohorts showed good consistency. The area under the curve (AUC) for predicting 0.25-year, 0.5-year and 1-year OS in the training cohort were 0.793, 0.864 and 0.867, respectively, and that in the validation cohort were 0.845, 0.828 and 0.803, respectively. The decision curve analysis (DCA) curves showed that the model to predict the 0.25-year, 0.5-year and 1-year OS probabilities was good.

CONCLUSION

Stage (GBM patients with distant extension) is independent prognostic factor for GBM patients. Age, surgery, radiotherapy and chemotherapy are independent prognostic factors for GBM patients presenting with distant extension, and the nomogram based on these factors can accurately predict the 0.25-year, 0.5-year and 1-year OS of these patients.

摘要

背景

远处转移的胶质母细胞瘤(GBM)罕见报道。我们从 SEER 数据库中检索 GBM 患者的数据,以确定远处转移 GBM 的预后因素,并构建列线图来预测这些患者的总生存期(OS)。

方法

从 SEER 数据库中检索 2003 年至 2018 年 GBM 患者的数据。将 181 例远处转移的 GBM 患者随机分为训练队列(n=129)和验证队列(n=52),比例为 7:3。通过单因素和多因素 COX 分析确定与 GBM 患者 OS 相关的预后因素。基于训练队列构建列线图以预测 OS,并使用验证队列数据验证其临床价值。

结果

Kaplan-Meier 曲线显示,远处转移的 GBM 患者的预后明显差于无远处转移的 GBM 患者。分期(远处转移的 GBM 患者)是生存的独立预后因素。多因素 COX 分析表明,年龄、手术、放疗和化疗是远处转移 GBM 患者 OS 的独立危险因素。预测 OS 的列线图的 C 指数分别为训练队列 0.755(95%CI 0.713-0.797)和验证队列 0.757(95%CI 0.703-0.811)。两个队列的校准曲线均显示出良好的一致性。训练队列预测 0.25 年、0.5 年和 1 年 OS 的曲线下面积(AUC)分别为 0.793、0.864 和 0.867,验证队列分别为 0.845、0.828 和 0.803。决策曲线分析(DCA)曲线表明,预测 0.25 年、0.5 年和 1 年 OS 概率的模型较好。

结论

分期(远处转移的 GBM 患者)是 GBM 患者的独立预后因素。年龄、手术、放疗和化疗是远处转移 GBM 患者的独立预后因素,基于这些因素的列线图可以准确预测这些患者的 0.25 年、0.5 年和 1 年 OS。

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