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.
Authors
- C. A. Wang (ORCID: https://orcid.org/0000-0003-1202-0685)
- Zhuming Chen (ORCID: https://orcid.org/0000-0002-4361-2408)
- Shenyu Li
- Jie Liu (ORCID: https://orcid.org/0000-0003-3975-7978)
- Yuxiang Huang (ORCID: https://orcid.org/0000-0002-4380-2447)
- Famu Lin
- Tengyue Fu
- Chuxiao Mao
- Houlin Li
Institutions
- 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)
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