Immune cell infiltrate differences in pilocytic astrocytoma and glioblastoma: evidence of distinct immunological microenvironments that reflect tumor biology Laboratory investigation
ABSTRACT The tumor microenvironment in astrocytomas is composed of a variety of cell types, including infiltrative inflammatory cells that are dynamic in nature, potentially reflecting tumor biology. In this paper the authors demonstrate that characterization of the intratumoral inflammatory infiltrate can distinguish high-grade glioblastoma from low-grade pilocytic astrocytoma.
Tumor specimens from ninety-one patients with either glioblastoma or pilocytic astrocytoma were analyzed at the University of California, San Francisco. A systematic neuropathology analysis was performed. All tissue was collected at the time of the initial surgery prior to adjuvant treatment. Immune cell infiltrate not associated with necrosis or hemorrhage was analyzed on serial 4-μm sections. Analysis was performed for 10 consecutive hpfs and in 3 separate regions (total 30 × 0.237 mm(2)). Using immunohistochemistry for markers of infiltrating cytotoxic T cells (CD8), natural killer cells (CD56), and macrophages (CD68), the inflammatory infiltrates in these tumors were graded quantitatively and classified based on microanatomical location (perivascular vs intratumoral). Control markers included CD3, CD20, and human leukocyte antigen.
Glioblastomas exhibited significantly higher perivascular (CD8) T-cell infiltration than pilocytic astrocytomas (62% vs 29%, p = 0.0005). Perivascular (49%) and intratumoral (89%; p = 0.004) CD56-positive cells were more commonly associated with glioblastoma. The CD68-positive cells also were more prevalent in the perivascular and intratumoral space in glioblastoma. In the intratumoral space, all glioblastomas exhibited CD68-positive cells compared with 86% of pilocytic astrocytomas (p = 0.0014). Perivascularly, CD68-positive infiltrate was also more prevalent in glioblastoma when compared with pilocytic astrocytoma (97% vs 86%, respectively; p = 0.0003). The CD3-positive, CD20-positive, and human leukocyte antigen-positive infiltrates did not differ between glioblastoma and pilocytic astrocytoma.
This analysis suggests a significantly distinct immune profile in the microenvironment of high-grade glioblastoma versus low-grade pilocytic astrocytoma. This difference in tumor microenvironment may reflect an important difference in the tumor biology of glioblastoma.
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ABSTRACT: Tumour-associated macrophages (TAMs) are enriched in glioblastoma multiformes (GBMs) that contain glioma stem cells (GSCs) at the apex of their cellular hierarchy. The correlation between TAM density and glioma grade suggests a supportive role for TAMs in tumour progression. Here we interrogated the molecular link between GSCs and TAM recruitment in GBMs and demonstrated that GSCs secrete periostin (POSTN) to recruit TAMs. TAM density correlates with POSTN levels in human GBMs. Silencing POSTN in GSCs markedly reduced TAM density, inhibited tumour growth, and increased survival of mice bearing GSC-derived xenografts. We found that TAMs in GBMs are not brain-resident microglia, but mainly monocyte-derived macrophages from peripheral blood. Disrupting POSTN specifically attenuated the tumour-supportive M2 type of TAMs in xenografts. POSTN recruits TAMs through the integrin αvβ3 as blocking this signalling by an RGD peptide inhibited TAM recruitment. Our findings highlight the possibility of improving GBM treatment by targeting POSTN-mediated TAM recruitment.Nature Cell Biology 01/2015; DOI:10.1038/ncb3090 · 20.06 Impact Factor
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ABSTRACT: To identify novel genes associated with pediatric pilocytic astrocytoma (PA) for better understanding the molecular mechanism underlying the pediatric PA pathogenesis. Gene expression profile data of GSE50161 and GSE44971 and the methylation data of GSE44684 were downloaded from Gene Expression Omnibus. The differentially expressed genes (DEGs) between PA and normal control samples were screened using the limma package in R, and then used to construct weighted gene coexpression network (WGCN) using the WGCN analysis (WGCNA) package in R. Significant modules of DEGs were selected using the clustering analysis. Function enrichment analysis of the DEGs in significant modules were performed using the WGCNA package and clusterprofiler package in R. Correlation between methylation sites of DEGs and PA was analyzed using the CpGassoc package in R. Totally, 3479 DEGs were screened in PA samples. Thereinto, 3424 DEGs were used to construct the WGCN. Several significant modules of DEGs were selected based on the WGCN, in which the turquoise module was positively related to PA, whereas blue module was negatively related to PA. DEGs (for example, DOCK2 (dedicator of cytokinesis 2), DOCK8 and FCGR2A (Fc fragment of IgG, low affinity IIa)) in blue module were mainly involved in Fc gamma R-mediated phagocytosis pathway and natural killer cell-mediated cytotoxicity pathway. Methylations of 14 DEGs among the top 30 genes in blue module were related to PA. Our data suggest that DOCK2, DOCK8 and FCGR2A may represent potential therapeutic targets in PA that merits further investigation.Cancer Gene Therapy advance online publication, 26 September 2014; doi:10.1038/cgt.2014.49.Cancer Gene Therapy 09/2014; 21(10). DOI:10.1038/cgt.2014.49 · 2.55 Impact Factor