FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Citation
Jiang, H., Kimura, T., Hai, H., Yamamura, R., Sonoshita, M. (2022). Drosophila as a toolkit to tackle cancer and its metabolism.  Front. Oncol. 12(): 982751.
FlyBase ID
FBrf0254473
Publication Type
Review
Abstract
Cancer is one of the most severe health problems worldwide accounting for the second leading cause of death. Studies have indicated that cancers utilize different metabolic systems as compared with normal cells to produce extra energy and substances required for their survival, which contributes to tumor formation and progression. Recently, the fruit fly Drosophila has been attracting significant attention as a whole-body model for elucidating the cancer mechanisms including metabolism. This tiny organism offers a valuable toolkit with various advantages such as high genetic conservation and similar drug response to mammals. In this review, we introduce flies modeling for cancer patient genotypes which have pinpointed novel therapeutic targets and drug candidates in the salivary gland, thyroid, colon, lung, and brain. Furthermore, we introduce fly models for metabolic diseases such as diabetes mellitus, obesity, and cachexia. Diabetes mellitus and obesity are widely acknowledged risk factors for cancer, while cachexia is a cancer-related metabolic condition. In addition, we specifically focus on two cancer metabolic alterations: the Warburg effect and redox metabolism. Indeed, flies proved useful to reveal the relationship between these metabolic changes and cancer. Such accumulating achievements indicate that Drosophila offers an efficient platform to clarify the mechanisms of cancer as a systemic disease.
PubMed ID
PubMed Central ID
PMC9458318 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Front. Oncol.
    Title
    Frontiers in oncology
    ISBN/ISSN
    2234-943X
    Data From Reference
    Genes (48)
    Human Disease Models (32)