Prognostic Factors and Nomogram for Malignant Brainstem Ependymoma: A Population-Based Retrospective Surveillance, Epidemiology, and End Results Database Analysis

IF 2.9 2区 医学 Q2 ONCOLOGY Cancer Medicine Pub Date : 2025-01-17 DOI:10.1002/cam4.70564
Xiaoyu Ji, Siyuan Yang, Dejing Cheng, Wenbo Zhao, Xuebo Sun, Fang Su
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Abstract

Purpose

This study aimed to identify prognostic factors and develop a nomogram for survival in patients with brainstem ependymoma.

Methods

Data of 652 patients diagnosed with brainstem ependymoma extracted from the Surveillance, Epidemiology, and End Results (SEER) registry from 2000 to 2020 were analyzed. Univariate and multivariable Cox regression analyses were performed to examine factors influencing overall survival (OS). Receiver operating characteristic curve (ROC) and calibration curves were used to verify the nomogram. The Kaplan–Meier method was used to analyze OS based on treatment methods stratification or different age patterns.

Results

Six independent prognostic factors of patients with brainstem ependymoma were identified, including age, race, marital status, radiation, gross total resection (GTR), and histology. A comprehensive nomogram model was developed utilizing these predictors identified through multivariable Cox regression analysis. Furthermore, we found that patients with GTR have improved overall survival than patient with no surgery and biopsy only or with partial resection (GTR vs. no: p = 0.0004, GTR vs. partial resection: p = 0.022). Patients with radiation have improved overall survival than patient without radiation (p = 0.00013). Patients with GTR combined radiation therapy have improved overall survival than patient without or with GTR or radiation therapy only (p < 0.0001). Different treatment methods have no significant difference in the overall survival probability of the elderly group.

Conclusions

Individuals who are Black and anaplastic ependymomas were negative risk factors for brainstem ependymoma associated with an increased risk of mortality. Patients aged < 50 years with GTR and radiation always had better survival.

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恶性脑干室管膜瘤的预后因素和Nomogram:基于人群的回顾性监测、流行病学和最终结果数据库分析。
目的:本研究旨在确定脑干室管膜瘤患者的预后因素,并制定脑干室管膜瘤患者的生存图。方法:分析2000年至2020年监测、流行病学和最终结果(SEER)登记中诊断为脑干室管膜瘤的652例患者的数据。采用单因素和多因素Cox回归分析,考察影响总生存期(OS)的因素。采用受试者工作特征曲线(ROC)和标定曲线对nomogram进行验证。采用Kaplan-Meier法对治疗方法分层或不同年龄模式的OS进行分析。结果:确定了影响脑干室管膜瘤患者预后的6个独立因素,包括年龄、种族、婚姻状况、放疗、总切除(GTR)和组织学。利用这些通过多变量Cox回归分析确定的预测因子,建立了一个综合的nomogram模型。此外,我们发现GTR患者的总生存率比不手术和活检或部分切除的患者高(GTR vs.未:p = 0.0004, GTR vs.部分切除:p = 0.022)。放疗患者的总生存率高于未放疗患者(p = 0.00013)。GTR联合放射治疗的患者比没有GTR或仅接受GTR或放射治疗的患者的总生存率提高(p)结论:黑色和间变性室管膜瘤个体是脑干室管膜瘤的负风险因素,与死亡风险增加相关。岁的病人
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来源期刊
Cancer Medicine
Cancer Medicine ONCOLOGY-
CiteScore
5.50
自引率
2.50%
发文量
907
审稿时长
19 weeks
期刊介绍: Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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