Conditional survival in glioblastoma: The evolution of prognostic factors over time

Conditional survival provides insights into the evolution of prognosis over time and reveals changing associations of prognostic factors during disease progression. Data on the temporal evolution of prognostic factors in glioblastoma remain scarce. We analyzed 315 patients with IDH-wildtype glioblastoma from a prospectively collected registry (01/2008-06/2017). Our primary outcome was 12-month conditional survival (CS), defined as the probability of surviving the next 12 months given survival for "s" months. This analysis was conducted at five landmarks (s = 0, 6, 12, 18, 24) for baseline prognostic factors, including tumor volume compartments. 12-month conditional survival estimates at s = 0, 6, 12, 18, and 24 months from diagnosis were 0.51 (95% CI 0.45-0.56), 0.46 (95% CI 0.39-0.52), 0.41 (95% CI 0.33-0.49), 0.43 (95% CI 0.33-0.52), and 0.56 (95% CI 0.42-0.67), respectively. At diagnosis (s = 0), 12-month survival estimates varied significantly with age >60 at diagnosis, preoperative tumor rim volume >20 cm<sup>3</sup>, absence of O<sup>6</sup>-methylguanine-DNA methyltransferase (MGMT) promoter methylation, postoperative KPS ≥70, residual postoperative tumor >1 cm<sup>3</sup>, or biopsy only. Residual tumor volume mainly influences survival in the initial months following surgery, while MGMT promoter methylation and age remain significant predictors beyond this period. These findings may refine stratification strategies in recurrent glioblastoma trials.

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Publication Details

Journal
International Journal of Cancer
Published
2025-12-30
DOI
https://doi.org/10.1002/ijc.70285
Primary Topic
Glioma Diagnosis and Treatment
Type
article
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article

Conditional survival in glioblastoma: The evolution of prognostic factors over time

Jonathan Weller, A. Raabe, Anna Maria Zeitlberger, Flavio Vasella et al.
International Journal of Cancer
Glioma Diagnosis and Treatment
article

Conditional survival in glioblastoma: The evolution of prognostic factors over time

Jonathan Weller, A. Raabe, Anna Maria Zeitlberger, Flavio Vasella, Dorothee Gramatzki, Marian Christoph Neidert, Oliver Bozinov, Julia Velz, Stefanos Voglis, K. Akeret, Sarah C. Brüningk, Luis Padevit, Elisabeth J. Rushing, Johannes Sarnthein, Timothy Mueller, Morton G. Schubert, Levin Häni, Michael Weller, Emilie Le Rhun, Luca Regli
article en

Abstract

Conditional survival provides insights into the evolution of prognosis over time and reveals changing associations of prognostic factors during disease progression. Data on the temporal evolution of prognostic factors in glioblastoma remain scarce. We analyzed 315 patients with IDH-wildtype glioblastoma from a prospectively collected registry (01/2008-06/2017). Our primary outcome was 12-month conditional survival (CS), defined as the probability of surviving the next 12 months given survival for "s" months. This analysis was conducted at five landmarks (s = 0, 6, 12, 18, 24) for baseline prognostic factors, including tumor volume compartments. 12-month conditional survival estimates at s = 0, 6, 12, 18, and 24 months from diagnosis were 0.51 (95% CI 0.45-0.56), 0.46 (95% CI 0.39-0.52), 0.41 (95% CI 0.33-0.49), 0.43 (95% CI 0.33-0.52), and 0.56 (95% CI 0.42-0.67), respectively. At diagnosis (s = 0), 12-month survival estimates varied significantly with age >60 at diagnosis, preoperative tumor rim volume >20 cm<sup>3</sup>, absence of O<sup>6</sup>-methylguanine-DNA methyltransferase (MGMT) promoter methylation, postoperative KPS ≥70, residual postoperative tumor >1 cm<sup>3</sup>, or biopsy only. Residual tumor volume mainly influences survival in the initial months following surgery, while MGMT promoter methylation and age remain significant predictors beyond this period. These findings may refine stratification strategies in recurrent glioblastoma trials.

International Journal of CancerVol. 158(10)
University of Bern (CH), Bern University of Applied Sciences (CH), University of Zurich (CH), University of St.Gallen (CH), University Hospital of Bern (CH), LMU Klinikum (DE), University Hospital of Zurich (CH), University Children's Hospital Zurich (CH), Ludwig-Maximilians-Universität München (DE)
Good health and well-being
Openalex Percentile: Top 25%
Glioma Diagnosis and Treatment
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