ArticleHeliyon2024
Analysis of IDH and EGFR as biomarkers in glioblastoma multiforme: A case-control study.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Glioblastoma multiforme (GBM) is a very aggressive primary central nervous system (CNS) tumor with limited therapeutic options and poor prognosis. This study aimed to analyze the association between single nucleotide polymorphisms (SNPs), including IDH1 rs121913500C > T, IDH2 rs11540478G > A, and EGFR rs1468727C > T, and their association on the risk and overall survival of GBM patients in Jordan. Methods: Using a case-control study design involving 63 GBM patients and 226 healthy controls was conducted at King Abdullah University Hospital in Jordan. DNA extraction was performed using formalin-fixed and paraffin-embedded tissue for GBM samples and blood samples for controls. SNPs analysis was performed using the Sequenom iPLEX assay sequencing technique. Survival outcomes were assessed using Cox models and hazard ratios (HR), and single-cell RNA (scRNA) analysis was performed from GSE70630. Results: The study showed a significant association between genotype frequency in GBM cases and controls for specific SNPs, including IDH1 rs121913500C > T, and EGFR rs1468727C > T. The G/G genotype of rs11540478 (IDH2) was associated with better prognostic outcomes in GBM patients. The scRNA analysis demonstrated the differential expression of IDH1, IDH2, and EGFR in GBM, with enrichment in central carbon metabolism in cancer. Conclusion: Our findings suggest that SNPs, particularly in IDH1 and IDH2 genes and EGFR, may serve as diagnostic and prognostic biomarkers for GBM. While the study underscores the clinical relevance of these genetic variants, further investigations with larger and more diverse populations are essential to validate and extend these associations.
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Registered trials
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