Comparative Analysis of Transcription Factors <i>TWIST2, GATA3</i>, and <i>HES5</i> in Glioblastoma Multiforme : Evaluating Biomarker Potential and Therapeutic Targets Using in Silico Methods
This study shows that TWIST2, GATA3, and HES5 could help predict outcomes in GBM patients. Our multigene model offers a better understanding of GBM and points to new treatment options, bringing hope for improved therapies and patient outcomes. This research advances our knowledge of GBM and highlights the potential of molecular diagnostics in oncology.
Authors
- Sungjin Chung (ORCID: https://orcid.org/0000-0002-9886-8339)
- Choonghyo Kim
Institutions
- Kangwon National University (KR)
- Kangwon National University Hospital (KR)
Publication Details
- Journal
- Journal of Korean Neurosurgical Society
- Published
- 2024-10-24
- DOI
- https://doi.org/10.3340/jkns.2024.0149
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40