Journal Article

FZJ-2025-02236

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Functional connectivity between tumor region and resting-state networks as imaging biomarker for overall survival in recurrent gliomas diagnosed by O -(2-[18F]fluoroethyl)- l -tyrosine PET

Friedrich, M. (Corresponding author)FZJ* ; Werner, J.-M. ; Steinbach, J. P. ; Sabel, M. ; Herrlinger, U. ; Piroth, M. ; Stoffels, G.FZJ* ; Filss, C. P.FZJ* ; Lohmann, P.FZJ* ; Shah, N. J.FZJ* ; Ruge, M. I. ; Mottaghy, F. M.FZJ* ; Goldbrunner, R. ; Langen, K.-J.FZJ* ; Fink, G. R.FZJ* ; Kocher, M.FZJ* ; Galldiks, N.FZJ*

2025
Oxford University Press Oxford

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Please use a persistent id in citations: doi:10.1093/noajnl/vdaf023  doi:10.34734/FZJ-2025-02236

Abstract: BackgroundAmino acid PET using the tracer O-(2-[18F]fluoroethyl)-l-tyrosine (FET) is one of the most reliable imaging methods for detecting glioma recurrence. Here, we hypothesized that functional MR connectivity between the metabolic active recurrent tumor region and resting-state networks of the brain could serve as a prognostic imaging biomarker for overall survival (OS).MethodsThe study included 82 patients (26–81 years; median Eastern Cooperative Oncology Group performance score, 0) with recurrent gliomas following therapy (WHO-CNS 2021 grade 4 glioblastoma, n = 57; grade 3 or 4 astrocytoma, n = 12; grade 2 or 3 oligodendroglioma, n = 13) diagnosed by FET PET simultaneously acquired with functional resting-state MR. Functional connectivity (FC) was assessed between tumor regions and 7 canonical resting-state networks.ResultsWHO tumor grade and IDH mutation status were strong predictors of OS after recurrence (P < .001). Overall FC between tumor regions and networks was highest in oligodendrogliomas and was inversely related to tumor grade (P = .031). FC between the tumor region and the dorsal attention network was associated with longer OS (HR, 0.88; 95%CI, 0.80–0.97; P = .007), and showed an independent association with OS (HR, 0.90; 95%CI, 0.81–0.99; P = .033) in a model including clinical factors, tumor volume and MGMT. In the glioblastoma subgroup, tumor volume and FC between the tumor and the visual network (HR, 0.90; 95%CI, 0.82–0.99, P = .031) were independent predictors of survival.ConclusionsRecurrent gliomas exhibit significant FC to resting-state networks of the brain. Besides tumor type and grade, high FC between the tumor and distinct networks could serve as independent prognostic factors for improved OS in these patients.

Note: This open-access publication is funded by the DeutscheForschungsgemeinschaft (DFG, German Research Foundation,contract number 491111487).

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Contributing Institute(s):

1. Kognitive Neurowissenschaften (INM-3)

Research Program(s):

1. 5252 - Brain Dysfunction and Plasticity (POF4-525) (POF4-525)
2. DFG project G:(GEPRIS)491111487 - Open-Access-Publikationskosten / 2025 - 2027 / Forschungszentrum Jülich (OAPKFZJ) (491111487) (491111487)

Appears in the scientific report 2025

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