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Distribution of tumor-infiltrating immune cells in glioblastoma.

Authors
  • Orrego, Enrique1
  • Castaneda, Carlos A2, 3
  • Castillo, Miluska2
  • Bernabe, Luis A2
  • Casavilca, Sandro4
  • Chakravarti, Arnab5
  • Meng, Wei5
  • Garcia-Corrochano, Pamela1
  • Villa-Robles, Maria R4
  • Zevallos, Rocio4
  • Mejia, Omar2
  • Deza, Pedro1
  • Belmar-Lopez, Carolina2
  • Ojeda, Luis1
  • 1 Neurosurgery Department, Instituto Nacional de Enfermedades Neoplasicas, Lima, 15038, Peru. , (Peru)
  • 2 Research Department, Instituto Nacional de Enfermedades Neoplasicas, Lima, 15038, Peru. , (Peru)
  • 3 Faculty of Medicine, Universidad Peruana San Juan Bautista, Lima, 15067, Peru. , (Peru)
  • 4 Pathology Department, Instituto Nacional de Enfermedades Neoplasicas, Lima, 15038, Peru. , (Peru)
  • 5 Department of Radiation Oncology, The Ohio State University Comprehensive Cancer Center-Arthur G. James Cancer Hospital, Columbus, OH, 43210, USA.
Type
Published Article
Journal
CNS Oncology
Publisher
Future Medicine
Publication Date
Dec 01, 2018
Volume
7
Issue
4
Identifiers
DOI: 10.2217/cns-2017-0037
PMID: 30299157
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Evaluation of features related to infiltrating immune cell level in glioblastoma. Tumor-infiltrating lymphocytes (TILs) through H&E staining, and TILs (CD3, CD4, CD8 and CD20) and macrophage (CD68 and CD163) levels through immunohistochemistry were evaluated through digital analysis. CD68 (9.1%), CD163 (2.2%), CD3 (1.6%) and CD8 (1.6%) had the highest density. Higher CD4+ was associated with unmethylated MGMT (p = 0.016). Higher CD8+ was associated with larger tumoral size (p = 0.027). Higher CD163+ was associated with higher age (p = 0.044) and recursive partitioning analysis = 4. Women (p < 0.05), total resection (p < 0.05), MGMT-methylation (p < 0.001), radiotherapy (p < 0.001), chemotherapy (p < 0.001) and lower CD4+ (p < 0.05) were associated with longer overall survival. Macrophages are more frequent than TILs. Some subsets are associated with clinical features.

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