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

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Authors: Timothy Mueller, Flavio Vasella, Julia Velz, Stefanos Voglis, Kevin Akeret, Luis Padevit, Morton G. Schubert, Jonathan Weller, Sarah C. Brüningk, Elisabeth Jane Rushing, Johannes Sarnthein, Dorothee Gramatzki
+8 more Levin Häni, Andreas Raabe, Anna Maria Zeitlberger, Oliver Bozinov, Emilie; https://orcid.org/0000-0002-9408-3278 Le Rhun, Michael Weller, Luca; https://orcid.org/0000-0003-4639-4474 Regli, Marian Christoph Neidert
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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, absence of O-methylguanine-DNA methyltransferase (MGMT) promoter methylation, postoperative KPS ≥70, residual postoperative tumor >1 cm, 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.

Fields of Study & Subjects

Glioma Diagnosis and Treatment Cancer survivorship and care Ovarian cancer diagnosis and treatment

Publication details

Journal / source
Zurich Open Repository and Archive (University of Zurich)
Publication date
4 February 2026
Language
EN