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Validation of a novel molecular RPA classification in glioblastoma (GBM-molRPA) treated with chemoradiation: A multi-institutional collaborative study

Authors
Wee, CW | Kim, IH | Park, CK | Kim, JW | Dho, YS | Ohka, F | Aoki, K | Motomura, K | Natsume, A | Kim, N | Suh, CO | Chang, JH | Kim, SH | Cho, WK | Lim, DH | Nam, DH | Choi, JW | Kim, IA | Kim, CY | Oh, YT  | Cho, O  | Chung, WK | Kim, SH | Kim, E
Citation
Radiotherapy and oncology, 129(2). : 347-351, 2018
Journal Title
Radiotherapy and oncology
ISSN
0167-81401879-0887
Abstract
BACKGROUND AND PURPOSE: A novel molecular recursive partitioning analysis classification has recently been reported integrating the MGMT promoter methylation (MGMTmeth) and IDH1 mutation (IDH1mut) status for glioblastoma (GBM-molRPA) patients treated with temozolomide-based chemoradiation. The current study was initiated to validate the model in a multi-institutional study.
MATERIALS AND METHODS: Four-hundred seventy-one newly diagnosed GBM patients (validation cohort) were allocated to classes I-III of the previously reported GBM-molRPA model. Of the patients, 15.7%, 56.1%, and 28.2% patients were GBM-molRPA class I, II, and III, respectively. MGMTmeth and IDH1mut were observed in 32.3 and 8.8% of patients, respectively. In the training plus validation cohort of 692 patients, 16.2%, 60.8%, and 23.0% patients were class I, II, and III, respectively.
RESULTS: The median follow-up for survivors and the median survival (MS) of patients was 23.3 and 18.4months, respectively. The MS for GBM-molRPA class I, II, and III was 49.7 (95% CI, 22.8-76.6), 19.2 (95% CI, 16.2-22.1), and 13.8months (95% CI, 11.8-15.4) (P<.001 for all comparisons) in the validation cohort. In the training plus validation cohort, the MS was 58.5 (95% CI, 40.7-76.3), 21. (95% CI, 18.6-23.3), and 14.3months (95% CI, 12.5-16.1) (P<.001 for all comparisons) for class I, II, and III, respectively.
CONCLUSION: The GBM-molRPA is a valid model. This GBM-molRPA classification can be useful in clinics and guiding patient stratification in future clinical trials.
Keywords
DOI
10.1016/j.radonc.2018.09.001
PMID
30236994
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Radiation Oncology
Ajou Authors
오, 영택  |  조, 오연
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