Abstract:Background: We screened RARβ methylation in primary glioblastoma multiforme (GBM) and the results were evaluated based on the clinical data and treatment type. Objective: The objective of this study was to find new areas for the usage of MS-HRM applications in the determination of methylation levels in primary GBM samples and it shows the association of RARβ methylation with the clinical outcome. Methods: In our study, tumor samples were collected during surgical resection by the Department of Neurosurgery. Th… Show more
“…28 Atli et al report on RARβ gene methylation as a candidate for primary glioblastoma treatment. 29 The diagnostic value of MRI and ADC in differential diagnosis of cavernous hemangioma of the liver; 30 and malnutrition in pre-dialysis chronic kidney disease patients. 31 Shehab reports on biochemical response to weight loss in patients with non-alcoholic steatohepatitis.…”
“…28 Atli et al report on RARβ gene methylation as a candidate for primary glioblastoma treatment. 29 The diagnostic value of MRI and ADC in differential diagnosis of cavernous hemangioma of the liver; 30 and malnutrition in pre-dialysis chronic kidney disease patients. 31 Shehab reports on biochemical response to weight loss in patients with non-alcoholic steatohepatitis.…”
Background:
The dysregulation of various pathways and cellular processes contributes to the carcinogenic transition from low-grade gliomas to high-grade gliomas. The altered tumor microenvironment, altered epigenetic state, and high mutation heterogeneity are critical factors in glial tumors. The morphogen retinoic acid (RA) controls the homeostasis, regeneration, and development of the brain. RA receptor (RAR) gene methylation has been shown in different types of glial tumors.
Aims and Objectives:
This study assessed the RARß gene as a potential therapeutic target in gliomas.
Materials and Methods:
Using in silico methods, potential drugs targeting the RARß gene were compared based on temozolomide’s effectiveness in treating gliomas.
Results and Conclusion:
Computational techniques can be used to identify drug-mediated pathways. This in silico study holds promise for RARB and RARB-targeted treatment strategies in gliomas.
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