Mass effect has demonstrated prognostic significance for glioblastoma, but is poorly quantified. Here we define and characterize a novel neuroimaging parameter, lateral ventricle displacement (LVd), which quantifies mass effect in glioblastoma patients. LVd is defined as the magnitude of displacement from the center of mass of the lateral ventricle volume in glioblastoma patients relative to that a normal reference brain. Pre-operative MR images from 214 glioblastoma patients from The Cancer Imaging Archive (TCIA) were segmented using iterative probabilistic voxel labeling (IPVL). LVd, contrast enhancing volumes (CEV) and FLAIR hyper-intensity volumes (FHV) were determined. Associations with patient survival and tumor genomics were investigated using data from The Cancer Genome Atlas (TCGA). Glioblastoma patients had significantly higher LVd relative to patients without brain tumors. The variance of LVd was not explained by tumor volume, as defined by CEV or FLAIR. LVd was robustly associated with glioblastoma survival in Cox models which accounted for both age and Karnofsky's Performance Scale (KPS) (p = 0.006). Glioblastomas with higher LVd demonstrated increased expression of genes associated with tumor proliferation and decreased expression of genes associated with tumor invasion. Our results suggest LVd is a quantitative measure of glioblastoma mass effect and a prognostic imaging biomarker.
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http://dx.doi.org/10.1038/s41598-018-21147-w | 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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