Immunohistochemical analysis‐based proteomic subclassification of newly diagnosed glioblastomas |
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| Authors: | Kazuya Motomura Atsushi Natsume Reiko Watanabe Ichiro Ito Yukinari Kato Hiroyuki Momota Ryo Nishikawa Kazuhiko Mishima Yoko Nakasu Tatsuya Abe Hiroki Namba Yoichi Nakazato Hiroshi Tashiro Ichiro Takeuchi Tsutomu Mori Toshihiko Wakabayashi |
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| Institution: | 1. Department of Neurosurgery, Nagoya University School of Medicine, , Nagoya, Japan;2. Division of Diagnostic Pathology, Shizuoka Cancer Center, , Shizuoka, Japan;3. Molecular Tumor Marker Research Team, Faculty of Medicine, The Oncology Research Center, Advanced Molecular Epidemiology Research Institute, Yamagata University, , Yamagata, Japan;4. Department of Neurosurgery, Saitama Medical University International Center, , Saitama, Japan;5. Department of Neurosurgery, Shizuoka Cancer Center, , Shizuoka, Japan;6. Department of Neurosurgery, Oita University School of Medicine, , Oita, Japan;7. Department of Neurosurgery, Hamamatsu University School of Medicine, , Hamamatsu, Japan;8. Department of Human Pathology, Gunma University School of Medicine, , Gunma, Japan;9. Department of Engineering, Nagoya Institute of Technology, , Nagoya, Japan;10. Department of Human Lifesciences, Fukushima Medical University School of Nursing, , Fukushima, Japan |
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| Abstract: | Recent gene expression and copy number profilings of glioblastoma multiforme (GBM) by The Cancer Genome Atlas (TCGA) Research Network suggest the existence of distinct subtypes of this tumor. However, these approaches might not be easily applicable in routine clinical practice. In the current study, we aimed to establish a proteomics‐based subclassification of GBM by integrating their genomic and epigenomic profiles. We subclassified 79 newly diagnosed GBM based on expression patterns determined by comprehensive immunohistochemical observation in combination with their DNA copy number and DNA methylation patterns. The clinical relevance of our classification was independently validated in TCGA datasets. Consensus clustering identified the four distinct GBM subtypes: Oligodendrocyte Precursor (OPC) type, Differentiated Oligodendrocyte (DOC) type, Astrocytic Mesenchymal (AsMes) type and Mixed type. The OPC type was characterized by highly positive scores of Olig2, PDGFRA, p16, p53 and synaptophysin. In contrast, the AsMes type was strongly associated with strong expressions of nestin, CD44 and podoplanin, with a high glial fibrillary acidic protein score. The median overall survival of OPC‐type patients was significantly longer than that of the AsMes‐type patients (19.9 vs 12.8 months). This finding was in agreement with the Oncomine analysis of TCGA datasets, which revealed that PDGFRA and Olig2 were favorable prognostic factors and podoplanin and CD44 were associated with a poor clinical outcome. This is the first study to establish a subclassification of GBM on the basis of immunohistochemical analysis. Our study will shed light on personalized therapies that might be feasible in daily neuropathological practice. (Cancer Sci, doi: 10.1111/j.1349‐7006.2012.02377.x, 2012) |
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