ArticleFrontiers in oncology2024
A glutamatergic biomarker panel enables differentiating Grade 4 gliomas/astrocytomas from brain metastases.
Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- AMPAR Subunit Gene Expression Marks a Synaptic Transcriptional State in Lower-Grade Glioma.Brain sciences · 2026Article
- Tumor-associated epilepsy and high expression of xCT shape the proteome of IDH-wildtype glioblastoma.Cell death discovery · 2026Article
- 7T GluCEST in Discriminating Gliomas with Diverse Invasiveness Degrees and Its Association with Invasion Indices.ACS chemical neuroscience · 2025Article
- Identification and validation of LY6H and GRM3 as candidate biomarkers for Glioma-related epilepsy.Scientific reports · 2025Article
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13 authors.
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Abstract
Background: The differentiation of high-grade glioma and brain tumors of an extracranial origin is eminent for the decision on subsequent treatment regimens. While in high-grade glioma, a surgical resection of the tumor mass is a fundamental part of current standard regimens, in brain metastasis, the burden of the primary tumor must be considered. However, without a cancer history, the differentiation remains challenging in the imaging. Hence, biopsies are common that may help to identify the tumor origin. An additional tool to support the differentiation may be of great help. For this purpose, we aimed to identify a biomarker panel based on the expression analysis of a small sample of tissue to support the pathological analysis of surgery resection specimens. Given that an aberrant glutamate signaling was identified to drive glioblastoma progression, we focused on glutamate receptors and key players of glutamate homeostasis. Methods: Based on surgically resected samples from 55 brain tumors, the expression of ionotropic and metabotropic glutamate receptors and key players of glutamate homeostasis were analyzed by RT-PCR. Subsequently, a receiver operating characteristic (ROC) analysis was performed to identify genes whose expression levels may be associated with either glioblastoma or brain metastasis. Results: Out of a total of 29 glutamatergic genes analyzed, nine genes presented a significantly different expression level between high-grade gliomas and brain metastases. Of those, seven were identified as potential biomarker candidates including genes encoding for AMPA receptors Conclusion: We have identified a panel of seven genes whose expression may serve as a biomarker panel to discriminate glioblastomas and brain metastases at the molecular level. After further validation, our biomarker signatures could be of great use in the decision making on subsequent treatment regimens after diagnosis.
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