Disease characteristics and clinical specific survival prediction of spinal ependymoma: a genetic and population-based study

Through bioinformatics analysis of microarray datasets, we identified <i>CELF4</i> as a central gene associated with immune infiltration among DEGs. Previous studies have demonstrated that <i>CELF4</i> may play a pivotal role in the pathogenesis of SP-EP. Furthermore, this study developed and validated a prognostic prediction model in the form of a nomogram utilizing the SEER database, enabling clinicians to accurately assess treatment risks and benefits, thereby enhancing personalized therapeutic strategies and prognosis predictions.

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Publication Details

Journal
Frontiers in Neurology
Published
2024-09-13
DOI
https://doi.org/10.3389/fneur.2024.1454061
Citations
2
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.88
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article

Disease characteristics and clinical specific survival prediction of spinal ependymoma: a genetic and population-based study

C. A. Wang, Zhuming Chen, Shenyu Li, Jie Liu et al.
2 citations
Frontiers in Neurology
Glioma Diagnosis and Treatment
0.88
article

Disease characteristics and clinical specific survival prediction of spinal ependymoma: a genetic and population-based study

C. A. Wang, Zhuming Chen, Shenyu Li, Jie Liu, Yuxiang Huang, Famu Lin, Tengyue Fu, Chuxiao Mao, Houlin Li
article en
2 citations

Abstract

Through bioinformatics analysis of microarray datasets, we identified <i>CELF4</i> as a central gene associated with immune infiltration among DEGs. Previous studies have demonstrated that <i>CELF4</i> may play a pivotal role in the pathogenesis of SP-EP. Furthermore, this study developed and validated a prognostic prediction model in the form of a nomogram utilizing the SEER database, enabling clinicians to accurately assess treatment risks and benefits, thereby enhancing personalized therapeutic strategies and prognosis predictions.

Frontiers in NeurologyVol. 15
Jinan University (CN), Guilin Medical University (CN), The First People's Hospital of Shunde (CN), Mudanjiang Normal University (CN), First Affiliated Hospital of Jinan University (CN)
Openalex Percentile: Top 24%
Glioma Diagnosis and Treatment
0.88
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Disease characteristics and clinical specific survival prediction of spinal ependymoma: a genetic and population-based study — C. A. Wang, Zhuming Chen, et al. · Frontiers in Neurology (2024) | TGRS Research Map | TGRS