Application of bioinformatics analysis to construct the prognostic model and immune-related gene characteristics of low-grade glioma

Application of bioinformatics analysis to construct the prognostic model and immune-related gene characteristics of low-grade glioma

Abstract Background Low-grade gliomas (LGG) are slow-growing brain tumors with limited treatment options, making prognosis challenging. Recent advancements in molecular profiling offer potential for better understanding of genetic and immune factors involved in LGG progression, guiding more effectiv...

Full description

Saved in:
Bibliographic Details
Main Authors: Peng Liao, Xiaocui Zhang, Ruyan Yuan, Tingjun Tang, Feng Wang, Baowei Geng
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Oncology
Subjects:
Glioblastoma
Low-grade glioma
Prognostic model
Atlas of cancer genomes
Omnibus of gene expression
Online Access:https://doi.org/10.1007/s12672-025-02639-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s12672-025-02639-4

Similar Items