Chao Zhang, Tao Yang, Yuhang Tang, Dong Yu, Shiqiang Hou, Ning Lin, Qun Li
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引用次数: 0
Abstract
Objective
To analyze the clinicopathological features, immunological characteristics, and prognostic value of APOBEC3C in gliomas, and to verify the specific mechanism by which it mediates the malignant progression of gliomas.
Methods
mRNA-seq data from 693 glioma patients in the CGGA database and 697 glioma patients in the TCGA were analyzed, respectively. In addition, single-cell sequencing data were obtained from the CGGA database. Bioinformatics methods were applied to reveal the possible mechanisms of APOBEC3C-mediated malignant progression of gliomas. Moreover, western blot, transwell, and cell-scratch assays were used to explore the potential mechanisms of APOBEC3C-mediated glioma invasion and migration.
Results
APOBEC3C was enriched in malignant glioma subtypes and was a potential biomarker for mesenchymal subtypes in glioma patients. It was closely associated with glioma inflammation and immunity. Additionally, APOBEC3C is a potential independent prognostic factor for glioma, and inhibition of APOBEC3C expression can suppress the EMT process in glioma cells through the NF-κB signaling pathway.
Conclusion
APOBEC3C is a potential biomarker for glioma patients. It is closely related to the clinicopathology of glioma and may be a potential immunotherapy target for glioma patients.
期刊介绍:
Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including:
• cellular and molecular immunology
• clinical immunology
• allergy
• immunochemistry
• immunogenetics
• immune signalling
• immune development
• imaging
• mathematical modelling
• autoimmunity
• transplantation immunology
• cancer immunology