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Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
Published on: September 13, 2022
Microfibrillar-associated protein 2 is a prognostic marker that correlates with the immune microenvironment in glioma
Wanzhen Xu1, Ren Geng1, Yao Zhao1
1Department of Neurosurgery, First Hospital of Jilin University, Changchun, China.
Abstract:
Aims: microfibrillar-associated protein 2 (MFAP2), a component of the extracellular matrix, plays key roles in regulating growth factor signal transduction and various malignant tumors. However, the clinicopathological features of microfibrillar-associated protein 2 in gliomas have not been elucidated to date. Methods: TCGA and CGGA databases were used to study the expression of microfibrillar-associated protein 2 in glioma and its relationship with clinicopathological features of patients with glioma. Western blotting was performed to detect the expression of microfibrillar-associated protein 2 protein in tissue samples from glioma patients. Gene set enrichment analysis (GSEA) was applied to detect biological processes and signal pathways related to microfibrillar-associated protein 2. Single-sample gene set enrichment analysis, TIMER 2.0, and TISIDB databases were used to evaluate the role of microfibrillar-associated protein 2 in tumor immune characteristics. The prognostic role of microfibrillar-associated protein 2 in glioma was analyzed using the Kaplan-Meier method and Cox regression. Survival data were used to establish a nomogram prediction model. Results: microfibrillar-associated protein 2 expression was significantly elevated in gliomas. receiver operating characteristic analysis revealed good discrimination of microfibrillar-associated protein 2 between glioma and normal tissues. High expression of microfibrillar-associated protein 2 was associated with malignant phenotypes, such as histological type. Based on gene set enrichment analysis, we identified pathways associated with high microfibrillar-associated protein 2 expression. High microfibrillar-associated protein 2 expression was related to the infiltration of tumor immune cells, including Th2 cells and macrophages, and correlated with key markers of T-cell exhaustion. Based on the TISIDB database, microfibrillar-associated protein 2 was observed to be associated with chemokines, chemokine receptors, and multiple immunoinhibitors in glioma. Kaplan-Meier survival analyses revealed that high microfibrillar-associated protein 2 expression predicted poor overall survival, DSS, and PFS in patients with glioma. By combining microfibrillar-associated protein 2 and other prognostic factors, a nomogram prognostic prediction model was constructed, which demonstrated an ideal prediction effect. Conclusion: microfibrillar-associated protein 2 is a potential prognostic marker that plays a key role in glioma development given its association with malignant phenotypes, cancer-related pathways and tumor immunity.
Insights
Microfibrillar-associated protein 2 (MFAP2) is elevated in gliomas and linked to poorer patient survival. This study identifies MFAP2 as a potential prognostic marker for glioma, impacting malignant phenotypes and tumor immunity.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Microfibrillar-associated protein 2 (MFAP2) is an extracellular matrix component involved in growth factor signaling and tumor progression.
- The role and clinicopathological significance of MFAP2 in gliomas remain largely uncharacterized.
Purpose of the Study:
- To investigate the expression, clinicopathological correlations, immune role, and prognostic value of MFAP2 in glioma.
- To establish a predictive model for glioma prognosis based on MFAP2.
Main Methods:
- Analysis of MFAP2 expression in TCGA and CGGA glioma datasets.
- Western blotting for protein validation.
- Gene Set Enrichment Analysis (GSEA) for pathway identification.
- Tumor immune infiltration analysis using TIMER 2.0 and TISIDB.
- Prognostic analysis via Kaplan-Meier and Cox regression, followed by nomogram construction.
Main Results:
- MFAP2 expression is significantly upregulated in gliomas compared to normal tissues.
- High MFAP2 expression correlates with malignant phenotypes and poorer overall survival, DSS, and PFS.
- MFAP2 is associated with specific immune cell infiltration (Th2, macrophages) and T-cell exhaustion markers.
- A nomogram model incorporating MFAP2 demonstrated effective glioma prognostic prediction.
Conclusions:
- MFAP2 serves as a potential prognostic biomarker in glioma.
- MFAP2's role in glioma progression is linked to malignant phenotypes, cancer-related pathways, and tumor immune microenvironment modulation.

