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• W4387077887 abstract "Abstract Molecular genetic approaches are now mandatory for cancer diagnostics, especially for brain tumors. Genotype‐based diagnosis has predominated over the phenotype‐based approach, with its prognostic and predictive powers. However, comprehensive genetic testing would be difficult to perform in the clinical setting, and translational research is required to histologically decipher the peculiar biology of cancer. Of interest, recent studies have demonstrated discrete links between oncogenotypes and the resultant metabolic phenotypes, revealing cancer metabolism as a promising histologic surrogate to reveal specific characteristics of each cancer type and indicate the best way to manage cancer patients. Here, we provide an overview of our research progress to work on cancer metabolism, with a particular focus on the genomically well‐characterized malignant tumor glioblastoma. With the use of clinically relevant animal models and human tissue, we found that metabolic reprogramming plays a major role in the aggressive cancer biology by conferring therapeutic resistance to cancer cells and rewiring their epigenomic landscapes. We further discuss our future endeavor to establish “metabolism‐based pathology” on how the basic knowledge of cancer metabolism could be leveraged to improve the management of patients by linking cancer cell genotype, epigenotype, and phenotype through metabolic reprogramming." @default.
• W4387077887 created "2023-09-28" @default.
• W4387077887 creator A5019409751 @default.
• W4387077887 creator A5042065032 @default.
• W4387077887 date "2023-09-27" @default.
• W4387077887 modified "2023-10-12" @default.
• W4387077887 title "Metabolic and epigenetic reprogramming in the pathogenesis of glioblastoma: Toward the establishment of “metabolism‐based pathology”" @default.
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• W4387077887 doi "https://doi.org/10.1111/pin.13379" @default.
• W4387077887 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37755062" @default.
• W4387077887 hasPublicationYear "2023" @default.
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