FB2026_03 , released September 17, 2026
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Citation
Vidal, M., Warner, S., Read, R., Cagan, R.L. (2007). Differing Src signaling levels have distinct outcomes in Drosophila.  Cancer Res. 67(21): 10278--10285.
FlyBase ID
FBrf0201568
Publication Type
Research paper
Abstract
High levels of Src activity are found in a broad spectrum of cancers. The roles of Src and its negative regulator Csk have been extensively studied, although results have often proved contradictory or the relevance to whole organisms is unclear. In Drosophila, overexpression of either Src orthologue resulted in apoptotic cell death, but paradoxically, reducing dCsk activity led to over-proliferation and tissue overgrowth. Here, we show that in Drosophila epithelia in situ, the levels of Src signaling determine the cellular outcome of Src activation. Apoptotic cell death was triggered specifically at high Src signaling levels; lower levels directed antiapoptotic signals while promoting proliferation. Furthermore, our data indicate that expression of kinase-dead Src isoforms do not necessarily act as dominant-negative factors, but can instead increase Src pathway activity, most likely by titrating Csk activity away from endogenous Src. The importance of Src activity levels was emphasized when we examined oncogenic cooperation between Src and Ras: malignant overgrowth was observed specifically when high Src signaling levels were achieved. We propose a model in which low levels of Src signaling promote survival and proliferation during early stages of tumorigenesis, whereas strong Src signaling, coupled with antiapoptotic signals, directs invasive migration and metastasis during advanced tumor stages.
PubMed ID
PubMed Central ID
PMC2892182 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Cancer Res.
    Title
    Cancer Research
    Publication Year
    1941-
    ISBN/ISSN
    0008-5472
    Data From Reference
    Genes (6)
    Human Disease Models (2)