Correlation of Ki-67 Index with Volumetric Segmentation and its Value as a Prognostic Marker in Glioblastoma.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
05 2019
Historique:
received: 15 08 2018
revised: 31 01 2019
accepted: 01 02 2019
pubmed: 23 2 2019
medline: 4 1 2020
entrez: 22 2 2019
Statut: ppublish

Résumé

Previous research has shown a strong correlation between the Ki-67 proliferation index and grade of malignancy in astrocytoma. Ki-67 has also shown encouraging results as a prognostic marker for patients' overall survival (OS). We focus on whether the index is linked to the appearance of glioblastoma on pretreatment magnetic resonance imaging (MRI) or to OS. In our retrospective study, only isocitrate dehydrogenase IDH wild-type glioblastoma was included (n = 152). Ki-67 index was quantified via immunohistochemistry. On all pretreatment MRI, tumor compartments (tumor, necrosis, and edema) were volumetrically assessed. An OS subpopulation was filtered from the total cohort (residual tumor volume ≤2 cm All volumetric assessed tumor volumes correlated with each other (P ≤ 0.011), although the Ki-67 index showed no correlation with any of the measured volumes. Concerning the OS, a cutoff value of 20% for the Ki-67 index showed a significant influence on patients' OS in multivariate analysis (P = 0.043). The unique appearance of every glioblastoma on MRI seems to be independent of the Ki-67 index. Furthermore, the Ki-67 index did show a distinct prognostic value for OS within our cohort at a cutoff value of 20% for Ki-67.

Identifiants

pubmed: 30790732
pii: S1878-8750(19)30369-9
doi: 10.1016/j.wneu.2019.02.006
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Ki-67 Antigen 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1093-e1103

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Christian Henker (C)

Department of Neurosurgery, University Medicine of Rostock, Rostock, Germany. Electronic address: christian.henker@med.uni-rostock.de.

Thomas Kriesen (T)

Department of Neurosurgery, University Medicine of Rostock, Rostock, Germany.

Björn Schneider (B)

Institute for Pathology, University Medicine of Rostock, Rostock, Germany.

Änne Glass (Ä)

Institute for Biostatistics and Informatics in Medicine, University Medicine of Rostock, Rostock, Germany.

Moritz Scherer (M)

Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany.

Sönke Langner (S)

Institute for Diagnostic and Interventional Radiology, University Medicine of Rostock, Rostock, Germany.

Andreas Erbersdobler (A)

Institute for Pathology, University Medicine of Rostock, Rostock, Germany.

Jürgen Piek (J)

Department of Neurosurgery, University Medicine of Rostock, Rostock, Germany.

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Classifications MeSH