Article ; Online: MGMT unmethylation and high levels of CD47 and TIGIT indicate a poor prognosis in adult diffuse gliomas.
2024 Volume 15, Page(s) 1323307
Abstract: Introduction: In 2021, the World Health Organization published a new classification system for central nervous system tumors. This study reclassified the adult diffuse glioma (ADG) into astrocytoma, oligodendroglioma, and glioblastoma (GBM) according to ...
Abstract | Introduction: In 2021, the World Health Organization published a new classification system for central nervous system tumors. This study reclassified the adult diffuse glioma (ADG) into astrocytoma, oligodendroglioma, and glioblastoma (GBM) according to the new tumor classification. Methods: The association of TERT promoter (pTERT) mutation, MGMT methylation, and CD47/TIGIT expression with patient prognosis was investigated. Results: Immunohistochemical analysis showed that the expression levels of CD47 and TIGIT in tumor tissues were significantly higher than those in normal brain tissues. CD47 levels were higher in GBM and grade 4 astrocytoma tissues. TIGIT expression was also higher in patients with GBM. The high expressions of CD47, TIGIT, and CD47/TIGIT were positively correlated with Discussion: Collectively, these results showed that the |
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MeSH term(s) | Adult ; Humans ; Brain Neoplasms/pathology ; CD47 Antigen/genetics ; Glioma/pathology ; Glioblastoma/genetics ; Astrocytoma ; Prognosis ; DNA Modification Methylases/genetics ; Tumor Suppressor Proteins/genetics ; DNA Repair Enzymes/genetics ; Receptors, Immunologic/genetics |
Chemical Substances | CD47 Antigen ; CD47 protein, human ; MGMT protein, human (EC 2.1.1.63) ; DNA Modification Methylases (EC 2.1.1.-) ; Tumor Suppressor Proteins ; DNA Repair Enzymes (EC 6.5.1.-) ; TIGIT protein, human ; Receptors, Immunologic |
Language | English |
Publishing date | 2024-02-09 |
Publishing country | Switzerland |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2606827-8 |
ISSN | 1664-3224 ; 1664-3224 |
ISSN (online) | 1664-3224 |
ISSN | 1664-3224 |
DOI | 10.3389/fimmu.2024.1323307 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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