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Comparative gene expression profiling of ADAMs, MMPs, TIMPs, EMMPRIN, EGF-R and VEGFA in low grade meningioma
Harcharan K Rooprai1, Andrew J Martin2, Andrew King3
1Department of Neurosurgery, King's College Hospital, London SE5 9RS, UK.
Abstract:
MMPs (matrix metalloproteinases), ADAMs (a disintegrin and metalloproteinase) and TIMPs (tissue inhibitors of metalloproteinases) are implicated in invasion and angiogenesis: both are tissue remodeling processes involving regulated proteolysis of the extracellular matrix, growth factors and their receptors. The expression of these three groups and their correlations with clinical behaviour has been reported in gliomas but a similar comprehensive study in meningiomas is lacking. In this study, we aimed to evaluate the patterns of expression of 23 MMPs, 4 TIMPs, 8 ADAMs, selective growth factors and their receptors in 17 benign meningiomas using a quantitative real-time polymerase chain reaction (qPCR). Results indicated very high gene expression of 13 proteases, inhibitors and growth factors studied: MMP2 and MMP14, TIMP-1, -2 and -3, ADAM9, 10, 12, 15 and 17, EGF-R, EMMPRIN and VEGF-A, in almost every meningioma. Expression pattern analysis showed several positive correlations between MMPs, ADAMs, TIMPs and growth factors. Furthermore, our findings suggest that expression of MMP14, ADAM9, 10, 12, 15 and 17, TIMP-2, EGF-R and EMMPRIN reflects histological subtype of meningioma such that fibroblastic subtype had the highest mRNA expression, transitional subtype was intermediate and meningothelial type had the lowest expression. In conclusion, this is the first comprehensive study characterizing gene expression of 8 ADAMs in meningiomas. These neoplasms, although by histological definition benign, have invasive potential. Taken together, the selected elevated gene expression pattern may serve to identify targets for therapeutic intervention or indicators of biological progression and recurrence.
Insights
Matrix metalloproteinases (MMPs), ADAMs, and tissue inhibitors of metalloproteinases (TIMPs) show distinct expression patterns in meningiomas. This gene expression profile may indicate therapeutic targets and biological progression indicators for these tumors.
Area of Science:
- Molecular Biology
- Oncology
- Biochemistry
Background:
- Matrix metalloproteinases (MMPs), ADAMs, and tissue inhibitors of metalloproteinases (TIMPs) are key regulators of extracellular matrix remodeling.
- These protein families are implicated in tumor invasion and angiogenesis, processes crucial for cancer progression.
- While studied in gliomas, comprehensive analysis of these protein families in meningiomas is lacking.
Purpose of the Study:
- To comprehensively evaluate the gene expression patterns of MMPs, ADAMs, TIMPs, and associated growth factors in meningiomas.
- To correlate these expression patterns with the clinical behavior and histological subtypes of meningiomas.
- To identify potential therapeutic targets and biomarkers for meningioma progression.
Main Methods:
- Quantitative real-time polymerase chain reaction (qPCR) was employed to analyze gene expression.
- The study included 17 benign meningioma samples.
- Expression levels of 23 MMPs, 4 TIMPs, 8 ADAMs, and selected growth factors/receptors were quantified.
Main Results:
- High gene expression of MMP2, MMP14, TIMP-1, TIMP-2, TIMP-3, ADAM9, ADAM10, ADAM12, ADAM15, ADAM17, EGF-R, EMMPRIN, and VEGF-A was observed in most meningiomas.
- Significant positive correlations were found between the expression of MMPs, ADAMs, TIMPs, and growth factors.
- Expression levels of MMP14, specific ADAMs, TIMP-2, EGF-R, and EMMPRIN varied significantly across histological subtypes, with fibroblastic subtypes showing the highest mRNA expression.
Conclusions:
- This study provides the first comprehensive characterization of ADAM gene expression in meningiomas.
- The identified elevated gene expression patterns suggest potential roles in the invasive potential of these histologically benign tumors.
- These findings may help identify novel therapeutic targets and biomarkers for predicting meningioma progression and recurrence.
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