Transcriptome profiling-based identification of prognostic subtypes and multi-omics signatures of glioblastoma
Author:
Funder
Ministry of Science, ICT and Future Planning
Ministry of Health and Welfare
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-019-47066-y.pdf
Reference30 articles.
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2. Kim, Y. W. et al. Identification of prognostic gene signatures of glioblastoma: a study based on TCGA data analysis. Neuro Oncol 15, 829–839, https://doi.org/10.1093/neuonc/not024 (2013).
3. Phillips, H. S. et al. Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis. Cancer Cell 9, 157–173, https://doi.org/10.1016/j.ccr.2006.02.019 (2006).
4. Ohgaki, H. & Kleihues, P. The definition of primary and secondary glioblastoma. Clin Cancer Res 19, 764–772, https://doi.org/10.1158/1078-0432.CCR-12-3002 (2013).
5. Hegi, M. E. et al. MGMT gene silencing and benefit from temozolomide in glioblastoma. N Engl J Med 352, 997–1003, https://doi.org/10.1056/NEJMoa043331 (2005).
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