Affiliation:
1. Department of Pathology Tokyo Women's Medical University Shinjuku Tokyo Japan
2. Department of Pathology Stanford University Stanford California USA
3. Department of Neurosurgery Stanford University Stanford California USA
4. Sarafan ChEM‐H Stanford University Stanford California USA
Abstract
AbstractMolecular 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.
Funder
National Brain Tumor Society
Japan Society for the Promotion of Science
Takeda Science Foundation
National Institutes of Health
Subject
General Medicine,Pathology and Forensic Medicine
Cited by
2 articles.
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