Article ; Online: Identification and Validation of a PEX5-Dependent Signature for Prognostic Prediction in Glioma.
2024 Volume 14, Issue 3
Abstract: Gliomas, the most prevalent and lethal form of brain cancer, are known to exhibit metabolic alterations that facilitate tumor growth, invasion, and resistance to therapies. Peroxisomes, essential organelles responsible for fatty acid oxidation and ... ...
Abstract | Gliomas, the most prevalent and lethal form of brain cancer, are known to exhibit metabolic alterations that facilitate tumor growth, invasion, and resistance to therapies. Peroxisomes, essential organelles responsible for fatty acid oxidation and reactive oxygen species (ROS) homeostasis, rely on the receptor PEX5 for the import of metabolic enzymes into their matrix. However, the prognostic significance of peroxisomal enzymes for glioma patients remains unclear. In this study, we elucidate that PEX5 is indispensable for the cell growth, migration, and invasion of glioma cells. We establish a robust prognosis model based on the expression of peroxisomal enzymes, whose localization relies on PEX5. This PEX5-dependent signature not only serves as a robust prognosis model capable of accurately predicting outcomes for glioma patients, but also effectively distinguishes several clinicopathological features, including the grade, isocitrate dehydrogenase ( |
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MeSH term(s) | Humans ; Brain Neoplasms/diagnosis ; Brain Neoplasms/genetics ; Glioma/diagnosis ; Glioma/genetics ; Mutation ; Peroxisome-Targeting Signal 1 Receptor/genetics ; Prognosis ; Tumor Microenvironment |
Chemical Substances | Peroxisome-Targeting Signal 1 Receptor ; PEX5 protein, human |
Language | English |
Publishing date | 2024-03-06 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 2701262-1 |
ISSN | 2218-273X ; 2218-273X |
ISSN (online) | 2218-273X |
ISSN | 2218-273X |
DOI | 10.3390/biom14030314 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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