Anti-c-myc efficacy block EGFL7 induced prolactinoma tumorigenesis
Abstract: Resistance to Dopamine agonists therapy is still a key factor that hinders the clinical treatment of prolactinoma. Consequently, a large number of investigations have been carried out to identify novel therapeutic targets. Our previous studies have suggested that the epidermal growth factor-like domain 7 (EGFL7) plays a crucial role in tumorigenesis of pituitary adenomas via EGFR/AKT/MAPK signaling pathway. In the present research, we found a positive staining of c-myc intimately associated with high-level EGFL7 in invasive prolactinoma compared to non-invasive prolactinoma and the normal pituitary gland. Meanwhile, PI3K/Akt and MAPK signaling cascades closely related to the activation of c-myc. Therefore, this research was conducted to explore the cooperation effect of c-myc and EGFL7 in prolactinoma. The inhibition of c-myc with anti-c-myc antibodies significantly reduced the proliferation, PRL secretion and invasion of rat prolactinoma MMQ cells. Notably, down regulation c-Myc by in vitro administration of anti-c-Myc antibodies could significantly depress EGFL7 induced MMQ cell proliferation, PRL secretion and invasion. An anti-c-Myc antibody could block EGFL7 induced Akt activation, but the expression of p-ERK was not altered by an anti-c-Myc antibody. Thus, our results suggest that anti-c-myc efficacy could block EGFL7 induced prolactinoma tumorigenesis via inhibited Akt activation in MMQ cells.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Anti-c-myc efficacy block EGFL7 induced prolactinoma tumorigenesis ; volume:17 ; number:1 ; year:2019 ; pages:1501-1508 ; extent:8
Open chemistry ; 17, Heft 1 (2019), 1501-1508 (gesamt 8)
- Urheber
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Lan, Xiaolei
Liu, Qian
Gao, Hua
Li, Zhenye
Zhang, Yazhuo
- DOI
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10.1515/chem-2019-0151
- URN
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urn:nbn:de:101:1-2410161721236.432530328602
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:35 MESZ
Datenpartner
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Beteiligte
- Lan, Xiaolei
- Liu, Qian
- Gao, Hua
- Li, Zhenye
- Zhang, Yazhuo
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