Journal Article

DKFZ-2024-01197

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Incorporating Supramaximal Resection into Survival Stratification of IDH-Wildtype Glioblastoma: A Refined Multi-institutional Recursive Partitioning Analysis.

Park, Y. W. ; Choi, K. S. ; Foltyn-Dumitru, M. ; Brugnara, G. ; Banan, R. ; Kim, S. ; Han, K. ; Park, J. E. ; Kessler, T. ; Bendszus, M. ; Krieg, S. ; Wick, W.DKFZ* ; Sahm, F.DKFZ* ; Choi, S. H. ; Kim, H. S. ; Chang, J. H. ; Kim, S. H. ; Wongsawaeng, D. ; Pollock, J. M. ; Lee, S.-K. ; Barajas, R. F. ; Vollmuth, P. ; Ahn, S. S.

2024
AACR Philadelphia, Pa. [u.a.]

This record in other databases:  

Please use a persistent id in citations: doi:10.1158/1078-0432.CCR-23-3845

Abstract: To propose a novel recursive partitioning analysis (RPA) classification model in patients with IDH-wildtype glioblastomas that incorporates the recently expanded conception of the extent of resection (EOR) in terms of both supramaximal and total resections.This multicenter cohort study included a developmental cohort of 622 patients with IDH-wildtype glioblastomas from a single institution (Severance Hospital) and validation cohorts of 536 patients from three institutions (Seoul National University Hospital, Asan Medical Center, and Heidelberg University Hospital). All patients completed standard treatment including concurrent chemoradiotherapy and underwent testing to determine their IDH mutation and MGMTp methylation status. EORs were categorized into either supramaximal, total, or non-total resections. A novel RPA model was then developed and compared to a previous RTOG RPA model.In the developmental cohort, the RPA model included age, MGMTp methylation status, KPS, and EOR. Younger patients with MGMTp methylation and supramaximal resections showed a more favorable prognosis (class I: median overall survival [OS] 57.3 months), while low-performing patients with non-total resections and without MGMTp methylation showed the worst prognosis (class IV: median OS 14.3 months). The prognostic significance of the RPA was subsequently confirmed in the validation cohorts, which revealed a greater separation between prognostic classes for all cohorts compared to the previous RTOG RPA model.The proposed RPA model highlights the impact of supramaximal versus total resections and incorporates clinical and molecular factors into survival stratification. The RPA model may improve the accuracy of assessing prognostic groups.

Note: 2024 Nov 1;30(21):4866-4875

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Contributing Institute(s):

1. KKE Neuroonkologie (B320)
2. DKTK HD zentral (HD01)
3. KKE Neuropathologie (B300)

Research Program(s):

1. 312 - Funktionelle und strukturelle Genomforschung (POF4-312) (POF4-312)

Appears in the scientific report 2024

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Essential Science Indicators ; IF >= 10 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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