A5020161999- MicroRNA in disease regulation
- Circular RNAs in diseases
- Caveolin-1 and cellular processes
- Pluripotent Stem Cells Research
- Cancer-related molecular mechanisms research
- Cell Adhesion Molecules Research
- RNA Interference and Gene Delivery
- Ferroptosis and cancer prognosis
- Curcumin's Biomedical Applications
- Cancer, Hypoxia, and Metabolism
- Glioma Diagnosis and Treatment
- CAR-T cell therapy research
- Cellular Mechanics and Interactions
- Immune cells in cancer
Nanjing Medical University
2016-2024
Nanjing Brain Hospital
2016-2024
The Ras-related C3 botulinum toxin substrate 1 (Rac1)-WASP-family verprolin-homologous protein-2 (WAVE2)-actin-related protein 2/3 (Arp2/3) signaling pathway has been identified to be involved in cell migration and invasion various types of cancer cell. Cofilin‑1 (CFL‑1), which is regulated by the Rac1‑WAVE2‑Arp2/3 pathway, may promote radioresistance glioma. Therefore, present study aimed investigate potential role U251 human glioma cells elucidate its affect on CFL‑1 expression. Western...
Circular RNAs (circRNAs) are important non-coding (ncRNAs) involved in the development of multiple human diseases, especially cancers. circRNA_0084043 is significantly progression melanoma. However, whether associated with glioma remains unknown. In this study, upregulation and association between grade were identified. Our results showed that proliferative, migratory, invasive capacities cells. The obtained from starBase, luciferase reporter assays, RNA immunoprecipitation pull-down assays...
We explored expression and biological roles of collagen type VIII alpha-1 chain (COL8A1) in glioma. Bioinformatics analyses unveiled COL8A1 overexpression within glioma tissues correlates with adverse clinical outcomes patients. was also detected local various cells. In primary immortalized cells, shRNA or knockout (KO) reduced cell viability, proliferation mobility, disrupted cycle, prompted apoptosis. While augmented the malignant behaviors KO cells decreased phosphorylation FAK downstream...
Aim: This study explored the prognostic value of N-glycan biosynthesis (NGB) in lower-grade glioma (LGG) and aimed to develop a machine learning model for enhanced accuracy. Method: LGG patient transcriptome data were analyzed identify NGB-related genes. Consensus clustering identified subgroups based on NGB expression. A signature (pNGB) was developed using learning. The pNGB score's association with cell proliferation, inflammation, treatment response, tumor recurrence, immune...