Quantitative Assessment of Tumor Contact with Neurogenic Zones and Its Effects on Survival: Insights beyond Traditional Predictors.

SGZ SVZ computational glioblastoma quantitative survival

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
29 Apr 2024
Historique:
received: 26 03 2024
revised: 23 04 2024
accepted: 26 04 2024
medline: 11 5 2024
pubmed: 11 5 2024
entrez: 11 5 2024
Statut: epublish

Résumé

So far, the cellular origin of glioblastoma (GBM) needs to be determined, with prevalent theories suggesting emergence from transformed endogenous stem cells. Adult neurogenesis primarily occurs in two brain regions: the subventricular zone (SVZ) and the subgranular zone (SGZ) of the hippocampal dentate gyrus. Whether the proximity of GBM to these neurogenic niches affects patient outcome remains uncertain. Previous studies often rely on subjective assessments, limiting the reliability of those results. In this study, we assessed the impact of GBM's relationship with the cortex, SVZ and SGZ on clinical variables using fully automated segmentation methods. In 177 glioblastoma patients, we calculated optimal cutpoints of minimal distances to the SVZ and SGZ to distinguish poor from favorable survival. The impact of tumor contact with neurogenic zones on clinical parameters, such as overall survival, multifocality, MGMT promotor methylation, Ki-67 and KPS score was also examined by multivariable regression analysis, chi-square test and Mann-Whitney-U. The analysis confirmed shorter survival in tumors contacting the SVZ with an optimal cutpoint of 14 mm distance to the SVZ, separating poor from more favorable survival. In contrast, tumor contact with the SGZ did not negatively affect survival. We did not find significant correlations with multifocality or MGMT promotor methylation in tumors contacting the SVZ, as previous studies discussed. These findings suggest that the spatial relationship between GBM and neurogenic niches needs to be assessed differently. Objective measurements disprove prior assumptions, warranting further research on this topic.

Identifiants

pubmed: 38730694
pii: cancers16091743
doi: 10.3390/cancers16091743
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

Auteurs

Kirsten Jung (K)

Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Johanna Kempter (J)

Department of Neurology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Georg Prokop (G)

Department of Neurology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Tim Herrmann (T)

Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Michael Griessmair (M)

Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Su-Hwan Kim (SH)

Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Claire Delbridge (C)

Department of Pathology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Bernhard Meyer (B)

Department of Neurosurgery, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Denise Bernhardt (D)

Department of Radiation Oncology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Stephanie E Combs (SE)

Department of Radiation Oncology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Claus Zimmer (C)

Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Benedikt Wiestler (B)

Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.
TranslaTUM, Technical University of Munich, 81675 München, Germany.

Friederike Schmidt-Graf (F)

Department of Neurology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Marie-Christin Metz (MC)

Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, 81675 München, Germany.

Classifications MeSH