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Prostaglandin E2 receptor 3 (EP3) signaling promotes migration of cervical cancer via urokinase-type plasminogen activator receptor (uPAR)

Authors: Yao Ye; Lin Peng; Aurelia Vattai; Eileen Deuster; Christina Kuhn; Christian Dannecker; Sven Mahner; +3 Authors

Prostaglandin E2 receptor 3 (EP3) signaling promotes migration of cervical cancer via urokinase-type plasminogen activator receptor (uPAR)

Abstract

Abstract Purpose Cervical cancer metastasis results in poor prognosis and increased mortality, which is not separated from inflammatory reactions accumulated by prostaglandin E2 (PGE2). As a specific G-protein coupled PGE2 receptor, EP3 is demonstrated as a negative prognosticator of cervical malignancy. Now, we aimed to investigate the pathological mechanism of EP3 in modulating cervical cancer carcinogenesis. Methods Bioinformatics analysis was used to identify PAI-1 and uPAR correlations with EP3 expression, as well as the prognosis of cervical cancer patients. In vitro analyses were carried out to investigate the role of EP3 on cervical cancer proliferation and migration. Results In vitro studies showed that sulprostone (an EP3 agonist) enhanced the proliferation and migration of cervical cancer cells, whereas silencing of EP3 inhibited their proliferation and migration. Furthermore, EP3 knockdown increased the expression of plasminogen activator inhibitor type 1 (PAI-1), urokinase-type plasminogen activator receptor (uPAR), and phosphorylated extracellular signal-regulated kinases 1/2 (p-ERK1/2), but decreased p53 expression. Bioinformatics analysis showed that both PAI-1 and uPAR were correlated with EP3 expression, as well as the prognosis of cervical cancer patients. The survival analysis further showed that uPAR overexpression (IRS≥2) was correlated with a lower overall survival rate of cervical cancer patients with advanced stages (FIGO III-IV). Conclusion These results indicated that EP3 signaling pathway might facilitate the migration of cervical cancer cells through modulating uPAR expression. Therefore, EP3 and uPAR could represent novel therapeutic targets in the treatment of cervical cancer in advantaged stages.

Country
Germany
Keywords

ddc:610, Computational Biology, Uterine Cervical Neoplasms, Female [MeSH] ; Signal Transduction/genetics [MeSH] ; Cell Line, Tumor [MeSH] ; Cell Movement/genetics [MeSH] ; Original Article – Cancer Research ; Humans [MeSH] ; Plasminogen activator inhibitor type 1 (PAI-1) ; Receptors, Prostaglandin E, EP3 Subtype/genetics [MeSH] ; Survival Analysis [MeSH] ; Uterine Cervical Neoplasms/drug therapy [MeSH] ; Cell Movement/drug effects [MeSH] ; Dinoprostone/analogs ; Uterine Cervical Neoplasms/pathology [MeSH] ; Urokinase-type plasminogen activator receptor (uPAR) ; Prostaglandin E ; Uterine Cervical Neoplasms/genetics [MeSH] ; Prognosis [MeSH] ; Dinoprostone/pharmacology [MeSH] ; Signal Transduction/drug effects [MeSH] ; Cervical cancer ; Dinoprostone/genetics [MeSH] ; Receptors, Urokinase Plasminogen Activator/genetics [MeSH] ; HeLa Cells [MeSH] ; Computational Biology/methods [MeSH], Prognosis, Survival Analysis, Dinoprostone, Receptors, Urokinase Plasminogen Activator, Cell Movement, Cell Line, Tumor, Receptors, Prostaglandin E, EP3 Subtype, Humans, Female, Original Article – Cancer Research, HeLa Cells, Signal Transduction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
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gold
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