Expression of Tumor-Associated Macrophage in Progression of Human Glioma

The aim of this study is to investigate the expression of tumor-associated macrophages (TAMs) M1, M2 phenotypic in human glioma tissues, and to explore the clinical significance and prognostic value of TAMs in glioma patients. A total of 50 glioma samples were obtained from patients diagnosed in our hospital from 2007 to 2010. Clinical follow-up was conducted via return visits and telephone interviews after discharge. Progression free survival (PFS) was calculated based on tumor progression by MRI and CT examination from the primary operation. Overall survival (OS) time was calculated from the initial surgical operation date to end date of follow-up or death. Kaplan-Meier methodology was used to evaluate the survival of patients and log-rank test for comparing differences between groups. The expression levels of CD16 and CD206 were investigated in the 4 mu m serial paraffin sections by immunohistochemistry. M1-type macrophages filtrated in all the grades of glioma samples, and the lower expression level was associated with high grade glioma. A negative correlation was found between WHO pathological grades and the expression of M1-type macrophages by Spearman correlation analysis. M2-type macrophages filtrated in all the grades of glioma samples with the higher expression level associated with high grade glioma. A positive correlation was found between WHO pathological grades and the expression of M2-type macrophages by Spearman correlation analysis. The PFS and OS among patients with high levels of M1-type macrophages (CD16+++) were significantly higher than those with less expression. The PFS and OS among patients with high levels of M2-type macrophages (CD206+++) were significantly lower than those with low expression. M1-type macrophages may inhibit the tumor growth and improve the therapeutic outcome of glioma patients. M2 ratios are associated with tumor proliferation and poor prognosis. TAMs phenotypes of glioma samples are the potential biomarkers in assessing the degree of malignancy, tumor invasion, and patient prognosis in clinic.