Glioblastoma
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47701-0_11
Reference18 articles.
1. Li J, Wang M, Won M, et al. Validation and simplification of the Radiation Therapy Oncology Group recursive partitioning analysis classification for glioblastoma. Int J Radiat Oncol Biol Phys. 2011;81:623–30. https://doi.org/10.1016/j.ijrobp.2010.06.012.
2. Scott JG, Bauchet L, Fraum TJ, et al. Recursive partitioning analysis of prognostic factors for glioblastoma patients aged 70 years or older. Cancer. 2012;118:5595–600. https://doi.org/10.1002/cncr.27570.
3. Wee CW, Kim E, Kim N, et al. Novel recursive partitioning analysis classification for newly diagnosed glioblastoma: A multi-institutional study highlighting the MGMT promoter methylation and IDH1 gene mutation status. Radiother Oncol J Eur Soc Ther Radiol Oncol. 2017;123:106–11. https://doi.org/10.1016/j.radonc.2017.02.014.
4. Wee CW, Kim IH, Park C-K, et al. Validation of a novel molecular RPA classification in glioblastoma (GBM-molRPA) treated with chemoradiation: A multi-institutional collaborative study. Radiother Oncol J Eur Soc Ther Radiol Oncol. 2018;129:347–51. https://doi.org/10.1016/j.radonc.2018.09.001.
5. Gittleman H, Lim D, Kattan MW, et al. An independently validated nomogram for individualized estimation of survival among patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825. Neuro Oncol. 2017;19:669–77. https://doi.org/10.1093/neuonc/now208.
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