Background: Extracellular vesicles (EVs) obtained by noninvasive liquid biopsy from patient blood can serve as biomarkers. Here, we investigated the potential of circulating plasma EVs to serve as an indicator in the diagnosis, prognosis, and treatment response of glioblastoma patients.
Methods: Plasma samples were collected from glioblastoma patients at multiple timepoints before and after surgery. EV concentrations were measured by nanoparticle tracking analysis and imaging flow cytometry. Tumor burden and edema were quantified by 3D reconstruction. EVs and tumors were further monitored in glioma-bearing mice.
Results: Glioblastoma patients displayed a 5.5-fold increase in circulating EVs compared to healthy donors (P < .0001). Patients with higher EV levels had significantly shorter overall survival and progression-free survival than patients with lower levels, and the plasma EV concentration was an independent prognostic parameter for overall survival. EV levels correlated with the extent of peritumoral fluid-attenuated inversion recovery hyperintensity but not with the size of the contrast-enhancing tumor, and similar findings were obtained in mice. Postoperatively, EV concentrations decreased rapidly back to normal levels, and the magnitude of the decline was associated with the extent of tumor resection. EV levels remained low during stable disease, but increased again upon tumor recurrence. In some patients, EV resurgence preceded the magnetic resonance imaging detectability of tumor relapse.
Conclusions: Our findings suggest that leakiness of the blood-brain barrier may primarily be responsible for the high circulating EV concentrations in glioblastoma patients. Elevated EVs reflect tumor presence, and their quantification may thus be valuable in assessing disease activity.
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http://dx.doi.org/10.1093/neuonc/noae068 | DOI Listing |
J Clin Neurosci
January 2025
Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA; Department of Neurosurgery, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA. Electronic address:
Background: Glioblastoma (GBM) is a common brain tumor with a poor prognosis. There is a paucity of knowledge regarding optimal treatment approaches for elderly patients with GBM who have a relatively good Karnofsky (KPS) or Eastern Cooperative Oncology Group (ECOG) performance status. This study compared treatment outcomes in older patients (≥65) with GBM based on their performance status, either high (KPS ≥ 70 and ECOG < 2) or low (KPS < 70 and ECOG ≥ 2), who underwent hypofractionated radiotherapy (HFRT) (40 Gy in 15 fractions) versus conventional fractionation (60 Gy in 30 fractions).
View Article and Find Full Text PDFESMO Open
January 2025
Dana-Farber Cancer Institute, Boston, USA; Harvard School of Public Health, Boston, USA.
Background: Cancer researchers frequently consider the use of single-arm and randomized controlled clinical trial designs that leverage external data. The literature has reported extensively on how the use of external data can introduce bias through a variety of distortion mechanisms. In this article, we focus on a distortion mechanism that is often overlooked: informative censoring.
View Article and Find Full Text PDFJ Exp Clin Cancer Res
January 2025
School of Medicine, Chinese PLA General Hospital, Nankai University, Beijing, China.
Background: Glioblastoma multiforme (GBM) exhibits a cellular hierarchy with a subpopulation of stem-like cells known as glioblastoma stem cells (GSCs) that drive tumor growth and contribute to treatment resistance. NAD(H) emerges as a crucial factor influencing GSC maintenance through its involvement in diverse biological processes, including mitochondrial fitness and DNA damage repair. However, how GSCs leverage metabolic adaptation to obtain survival advantage remains elusive.
View Article and Find Full Text PDFJ Neurooncol
January 2025
Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Purpose: Social determinants of health including neighborhood socioeconomic status, have been established to play a profound role in overall access to care and outcomes in numerous specialized disease entities. To provide glioblastoma multiforme (GBM) patients with high-quality care, it is crucial to identify predictors of hospital length of stay (LOS), discharge disposition, and access to postoperative adjuvant chemoradiation. In this study, we incorporate a novel neighborhood socioeconomic status index (NSES) and develop three predictive algorithms for assessing post-operative outcomes in GBM patients, offering a tool for preoperative risk stratification of GBM patients.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Stereotactic and Functional Neurosurgery, University Hospital of Bonn, 53127, Bonn, Germany.
Despite the favorable effects of immunotherapies in multiple types of cancers, its complete success in CNS malignancies remains challenging. Recently, a successful clinical trial of cytokine-induced killer (CIK) cell immunotherapy in patients with glioblastoma (GBM) has opened a new avenue for adoptive cellular immunotherapies in CNS malignancies. Prompt from these findings, herein, we investigated whether dendritic cells (DC) in combination with cytokine-induced killer cells (DC-CIK) could also provide an alternative and more effective way to improve the efficacy of GBM treatment.
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