Analysis reveals that GNAI3 gene expression correlates with prognosis in glioblastoma, suggesting biomarker potential.
One of the most aggressive malignancies with a very poor overall prognosis is glioblastoma. Because the BBB obstructs medicine delivery and invasive techniques alone are ineffective in removing it entirely, GBM is extremely difficult to treat. To treat GBM, it is critical to identify the key pathways and biomarkers. We carried out this investigation with the objective to determine the pathways linked to GBM. To find the DEGs, we compared the GEO database to the TCGA GBM genomic data set. Using the CGGA dataset, we also looked at the predictive significance of GNAI family genes in GBM. G-protein alpha inhibiting subunit 3 (GNAI3) gene expression was strongly linked to a poor prognosis in the tumour microenvironment across the sample. The function of the GNAI3 gene was examined using MetaCore and GO analysis in conjunction with transcript analysis, co-expressed genes, and related signalling pathways like the "Immune response B cell antigen receptor (BCR) pathway" and "Cytoskeleton remodelling Regulation of actin cytoskeleton organisation by the kinase effectors of Rho GTPases." According to the results, the carcinogenesis of GBM patients was highly correlated with the GNAI family genes, particularly GNAI3. In conclusion, it was proposed that the GNAI3 genes could be a predictive biomarker for GBM.
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Muhammad Waqar Mazhar (2025) studied this question.
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