Glial cell line-derived neurotrophic factor (GDNF), a sequence-related factor of the transforming growth factor-beta family, has been identified as a potent neurotrophic factor for a variety of neuronal cell populations. At present, it is still unknown whether human gliomas in vivo are also capable of producing GDNF. We studied the expression of GDNF in 14 human glioblastomas, 1 gliosarcoma and 5 astrocytomas. Using an enzyme-linked immunosorbent assay, the amount of GDNF was quantified in human gliomas and compared to GDNF-expression in C6 glioma cells, mouse fibroblasts and normal human and rat brain. Mean concentration of GDNF in gliomas was 937 +/- 140 pg GDNF/g tissue (n = 20). C6 cells revealed the highest expression levels of 2,837 +/- 813 pg/g, whereas mouse 3T3 fibroblasts showed no detectable GDNF protein. Mean GDNF tissue levels in normal human and rat brain were significantly lower. Using reverse transcriptase-polymerase chain reaction, GDNF mRNA was detected in human gliomas and in rat C6 cells. Immunohistochemistry revealed strong GDNF- and GDNF receptor-alpha 1-expressing tumor cells in human glioma tissue. These results show that glial tumors, even in the most dedifferentiated form of glioblastoma, express GDNF at concentrations up to five times higher compared to normal human brain. This overexpression of GDNF may be of biological relevance for proliferation of glial tumors in humans.
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http://dx.doi.org/10.1007/pl00007416 | DOI Listing |
Nat Commun
January 2025
Department of Medical Oncology, Laboratory of Tumor Immunology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Isocitrate dehydrogenase 1/2 mutant (IDHmt) astrocytoma is considered a T cell-deprived tumor, yet little is known regarding the phenotypes underlying T cell exclusion. Using bulk, single nucleus and spatial RNA and protein profiling, we demonstrate that a distinct spatial organization underlies T cell confinement to the perivascular space (T cell cuff) in IDHmt astrocytoma. T cell cuffs are uniquely characterized by a high abundance of gemistocytic tumor cells (GTC) in the surrounding stroma.
View Article and Find Full Text PDFKaku Igaku
January 2025
Department of Radiology, Kindai University Faculty of Medicine.
Objective: [Cu]Cu-ATSM is a radiotherapeutics under clinical trials. It is necessary to take appropriate measures to limit its exposure and ensures its airborne concentrations do not exceed legally permitted levels. Therefore, the purpose of this study was to measure the airborne radioactivity concentration in the inpatient room after administering [Cu]Cu-ATSM to patients.
View Article and Find Full Text PDFNeuro Oncol
January 2025
Department of Medicine, Division of Experimental Medicine, McGill University.
Background: Glioblastoma is an aggressive brain cancer with a 5-year survival rate of 5-10%. Current therapeutic options are limited, due in part to drug exclusion by the blood-brain barrier, restricting access of targeted drugs to the tumor. The receptor for the type 1 insulin-like growth factor (IGF-1R) was identified as a therapeutic target in glioblastoma.
View Article and Find Full Text PDFNeurol Neuroimmunol Neuroinflamm
March 2025
Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin.
Background And Objectives: Cognitive deficits represent a major long-term complication of anti-leucine-rich, glioma-inactivated 1 encephalitis (LGI1-E). Although severely affecting patient outcomes, the structural brain changes underlying these deficits remain poorly understood. In this study, we hypothesized a link between white matter (WM) networks and cognitive outcomes in LGI1-E.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
This study aimed to investigate the genetic association between glioblastoma (GBM) and unsupervised deep learning-derived imaging phenotypes (UDIPs). We employed a combination of genome-wide association study (GWAS) data, single-nucleus RNA sequencing (snRNA-seq), and scPagwas (pathway-based polygenic regression framework) methods to explore the genetic links between UDIPs and GBM. Two-sample Mendelian randomization analyses were conducted to identify causal relationships between UDIPs and GBM.
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