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Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections
Published on: July 31, 2017
Immunophenotypic identification and characterization of tumor cells and infiltrating cell populations in meningiomas
Patrícia H Domingues1, Cristina Teodósio, Javier Ortiz
1Centre for Neurosciences and Cell Biology, Faculty of Pharmacy, University of Coimbra, Portugal.
Insights
Multiparameter flow cytometry (MFC) immunophenotyping revealed that all meningiomas contain neoplastic and immune cells. MFC accurately characterizes protein expression in these coexisting cells, offering a better measure of gene expression than mRNA microarrays.
Area of Science:
- Neuro-oncology
- Immunology
- Cell Biology
Background:
- Meningiomas are primary central nervous system tumors with complex cellular compositions.
- Understanding the interplay between neoplastic and infiltrating immune cells is crucial for characterizing tumor microenvironments.
Purpose of the Study:
- To determine the cellular composition of meningiomas using multiparameter flow cytometry (MFC).
- To investigate the relationship between mRNA and protein expression in neoplastic cells.
- To evaluate MFC as a tool for characterizing protein expression patterns in meningioma samples.
Main Methods:
- Analysis of 51 meningioma samples using multiparameter flow cytometry (MFC) immunophenotyping.
- Utilized a broad panel of markers, phagocytic/endocytic functional assays, and MFC sorting.
- Compared protein expression levels with mRNA expression data.
Main Results:
- All meningiomas exhibited coexistence of CD45(-) neoplastic cells and CD45(+) immune infiltrating cells (macrophages, T cells, NK cells).
- Neoplastic cells expressed various cell surface proteins including adhesion molecules, tetraspanins, HLA, and growth factor receptors.
- The correlation between mRNA and protein levels varied, influenced by protein type and immune cell infiltration.
Conclusions:
- MFC immunophenotyping is a reliable method for characterizing diverse cell populations in meningiomas.
- MFC provides a more accurate assessment of tumor cell gene expression at the protein level compared to mRNA microarrays.
- This technique is valuable for understanding meningioma heterogeneity independently of immune cell infiltration levels.
Abstract:
Meningiomas are primary tumors of the central nervous system composed of both neoplastic and other infiltrating cells. We determined the cellular composition of 51 meningioma samples by multiparameter flow cytometric (MFC) immunophenotyping and investigated the potential relationship between mRNA and protein expression levels of neoplastic cells. For immunophenotypic, morphologic, and cytogenetic characterization of individual cell populations, a large panel of markers was used together with phagocytic/endocytic functional assays and MFC sorting. Overall, our results revealed coexistence of CD45(-) neoplastic cells and CD45(+) immune infiltrating cells in all meningiomas. Infiltrating cells included tissue macrophages, with an HLA-DR(+)CD14(+)CD45(+)CD68(+)CD16(-/+)CD33(-/+) phenotype and high phagocytic/endocytic activity, and a small proportion of cytotoxic lymphocytes (mostly T CD8(+) and natural killer cells). Tumor cells expressed multiple cell adhesion proteins, tetraspanins, HLA-I/HLA-DR molecules, complement regulatory proteins, cell surface ectoenzymes, and growth factor receptors. Noteworthy, the relationship between mRNA and protein levels was variable, depending on the proteins evaluated and the level of infiltration by immune cells. In summary, our results indicate that MFC immunophenotyping provides a reliable tool for the characterization of the patterns of protein expression of different cell populations coexisting in meningioma samples, with a more accurate measure of gene expression profiles of tumor cells at the functional/protein level than conventional mRNA microarray, independently of the degree of infiltration of the tumor by immune cells.
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