Mechanism of Notch Signaling Pathway in Malignant Progression of Glioblastoma and Targeted Therapy.
Shenghao WangSikuan GuJunfan ChenZhiqiang YuanPing LiangHong-Juan CuiPublished in: Biomolecules (2024)
Glioblastoma multiforme (GBM) is the most aggressive form of glioma and the most common primary tumor of the central nervous system. Despite significant advances in clinical management strategies and diagnostic techniques for GBM in recent years, it remains a fatal disease. The current standard of care includes surgery, radiation, and chemotherapy, but the five-year survival rate for patients is less than 5%. The search for a more precise diagnosis and earlier intervention remains a critical and urgent challenge in clinical practice. The Notch signaling pathway is a critical signaling system that has been extensively studied in the malignant progression of glioblastoma. This highly conserved signaling cascade is central to a variety of biological processes, including growth, proliferation, self-renewal, migration, apoptosis, and metabolism. In GBM, accumulating data suggest that the Notch signaling pathway is hyperactive and contributes to GBM initiation, progression, and treatment resistance. This review summarizes the biological functions and molecular mechanisms of the Notch signaling pathway in GBM, as well as some clinical advances targeting the Notch signaling pathway in cancer and glioblastoma, highlighting its potential as a focus for novel therapeutic strategies.
Keyphrases
- signaling pathway
- pi k akt
- cell proliferation
- epithelial mesenchymal transition
- induced apoptosis
- randomized controlled trial
- cell cycle arrest
- end stage renal disease
- healthcare
- clinical practice
- minimally invasive
- ejection fraction
- oxidative stress
- chronic kidney disease
- newly diagnosed
- endoplasmic reticulum stress
- cell death
- cerebrospinal fluid
- coronary artery disease
- electronic health record
- locally advanced
- cancer therapy
- coronary artery bypass
- lymph node metastasis
- health insurance
- affordable care act
- big data
- chronic pain
- patient reported outcomes
- peritoneal dialysis
- deep learning
- surgical site infection