Relationship between chemokine/chemokine receptor and glioma prognosis and outcomes: Systematic review and meta-analysis
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View abstract on PubMed
Summary
This summary is machine-generated.This meta-analysis found that elevated chemokine levels, including CXCR4 and CXCL12, are linked to a higher risk of glioma. These findings suggest CXCR4 may serve as a biomarker for predicting poor prognosis in glioma patients.
Area Of Science
- Neuro-oncology
- Molecular Biology
- Biomarker Discovery
Background
- Glioma, a primary central nervous system tumor, has a poor survival rate despite treatment advancements.
- Limited data exists on the clinical grading, prognostic impact, and utility of chemokines in glioma.
- A meta-analysis is crucial to consolidate existing evidence and provide conclusive results on chemokine involvement in glioma.
Purpose Of The Study
- To conduct a meta-analysis assessing the predictive value of chemokine and receptor levels in glioma risk.
- To investigate the association between chemokine expression and glioma grade.
- To evaluate the prognostic significance of chemokines in glioma patient survival.
Main Methods
- A comprehensive literature search was performed across multiple databases up to March 2024.
- Meta-analysis included 36 studies with 2,480 glioma patients.
- Odds ratios (ORs), standard mean differences (SMDs), and hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated.
Main Results
- Elevated CXCR4, CXCL12, CCL2, CXCL8, CXCR7, and CXCL10 levels were significantly associated with increased glioma risk.
- Higher expression of CXCR4, CXCL12, CCL2, and CCL18 correlated with WHO high-grade gliomas (grades 3-4).
- CXCR4 expression was strongly linked to poorer overall survival in glioma patients (HR = 2.38).
Conclusions
- Elevated CXCR4, CXCL12, CCL2, CXCL8, CXCL10, and CXCR7 levels are robustly associated with higher glioma risk.
- The study validates the WHO grading system, showing a correlation between high chemokine levels and high-grade gliomas.
- CXCR4 emerges as a potential biomarker for predicting worse prognosis in glioma.
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