What predicts survival in glioblastoma? A population-based study of changes in clinical management and outcome.

glioblastoma population-based prognostic factors survival treatment

Journal

Frontiers in surgery
ISSN: 2296-875X
Titre abrégé: Front Surg
Pays: Switzerland
ID NLM: 101645127

Informations de publication

Date de publication:
2023
Historique:
received: 28 06 2023
accepted: 17 08 2023
medline: 15 9 2023
pubmed: 15 9 2023
entrez: 15 9 2023
Statut: epublish

Résumé

Glioblastoma is the most common and most aggressive primary brain tumor in adults. Despite multimodal treatment, the median survival time is 15-16 months and 5-year survival rate 5%-10%. The primary goal of this study was to identify prognostic factors for survival in an unselected population of patients operated for glioblastoma. The secondary goal was to explore changes in outcome and the clinical management of this patient group over time. We identified 222 consecutive adults operated for glioblastoma between November 2012 and June 2016 at the Department of Neurosurgery, Sahlgrenska University Hospital in Gothenburg, serving a health care region in the western part of Sweden with 1.900.000 inhabitants. Clinical variables were identified and tested as predictors for prognosis in extended Poisson regression models. The results were compared with a previously published cohort from 2004 to 2008, before current standard of care based on molecular tumor diagnosis was fully implemented. Median overall survival was 1.07 years, which was significantly longer than in the 2004-2008 cohort (1.07 vs. 0.73 y, age- and sex adjusted HR = 1.89, The median survival for patients with glioblastoma treated according to current standard treatment has moderately but significantly increased, with MGMT promoter hypermethylation as the strongest predictor for survival.

Sections du résumé

Background UNASSIGNED
Glioblastoma is the most common and most aggressive primary brain tumor in adults. Despite multimodal treatment, the median survival time is 15-16 months and 5-year survival rate 5%-10%. The primary goal of this study was to identify prognostic factors for survival in an unselected population of patients operated for glioblastoma. The secondary goal was to explore changes in outcome and the clinical management of this patient group over time.
Methods UNASSIGNED
We identified 222 consecutive adults operated for glioblastoma between November 2012 and June 2016 at the Department of Neurosurgery, Sahlgrenska University Hospital in Gothenburg, serving a health care region in the western part of Sweden with 1.900.000 inhabitants. Clinical variables were identified and tested as predictors for prognosis in extended Poisson regression models. The results were compared with a previously published cohort from 2004 to 2008, before current standard of care based on molecular tumor diagnosis was fully implemented.
Results UNASSIGNED
Median overall survival was 1.07 years, which was significantly longer than in the 2004-2008 cohort (1.07 vs. 0.73 y, age- and sex adjusted HR = 1.89,
Conclusion UNASSIGNED
The median survival for patients with glioblastoma treated according to current standard treatment has moderately but significantly increased, with MGMT promoter hypermethylation as the strongest predictor for survival.

Identifiants

pubmed: 37711136
doi: 10.3389/fsurg.2023.1249366
pmc: PMC10498299
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1249366

Informations de copyright

© 2023 Fekete, Werlenius, Tisell, Pivodic, Smits, Jakola and Rydenhag.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

B Fekete (B)

Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden.

K Werlenius (K)

Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

M Tisell (M)

Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden.

A Pivodic (A)

Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

A Smits (A)

Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Department of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden.

A S Jakola (AS)

Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden.

B Rydenhag (B)

Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden.

Classifications MeSH