FB2025_01 , released February 20, 2025
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Citation
Kamdem, J.P., Duarte, A.E., Ibrahim, M., Lukong, K.E., Barros, L.M., Roeder, T. (2020). Bibliometric analysis of personalized humanized mouse and Drosophila models for effective combinational therapy in cancer patients.  Biochim Biophys Acta Mol Basis Dis 1866(10): 165880.
FlyBase ID
FBrf0246477
Publication Type
Review
Abstract
Research performed using model organisms such as mice and the fruit fly, Drosophila melanogaster has significantly enhanced our knowledge about cancer biology and the fundamental processes of cancer. This is because the major biological properties and genes associated with cancer including signaling pathways, oncogenes, tumor suppressors, and other regulators of cell growth and proliferation are evolutionary conserved. This review provides bibliometric analysis of research productivity, and performance of authors, institutions, countries, and journals associated with personalized animal cancer models, focussing on the role of Drosophila in cancer research, thus highlighting emerging trends in the field. A total of 1469 and 2672 original articles and reviews for Drosophila cancer model and patient-derived xenograft (PDX) respectively, were retrieved from the Scopus database and the most cited papers were thoroughly analyzed. Our analysis indicates a steadily increasing productivity of the animal models and especially of mouse models in cancer research. In addition to the many different systems that address almost all aspects of tumor research in humanized animal models, a trend towards using tailored screening platforms with Drosophila models in particular will become widespread in the future. Having Drosophila models that recapitulate major genetic aspects of a given tumor will enable the development and validation of novel therapeutic strategies for specific cancers, and provide a platform for screening small molecule inhibitors and other anti-tumor compounds. The combination of Drosophila cancer models and mouse PDX models particularly is highly promising and should be one of the major research strategies the future.
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Biochim Biophys Acta Mol Basis Dis
    Title
    Biochimica et biophysica acta. Molecular basis of disease.
    ISBN/ISSN
    1879-260X 0925-4439
    Data From Reference