Journal of Translational Medicine · 2021 · 70 citations · 33 references
MedicineCell BiologyOncologyMolecular OncologyOncogenesSignal TransductionCancer Cell SignalingCancer ProgressionMalignant NeoplasmsOncogenic Signaling PathwaysOvarian CancerSignal Transduction In CancerMalignant Ovarian NeoplasmsOncogenic TransformationOvarian Cancer PathogenesisOvarian CarcinogenesisPlatelet-derived Growth Factor Receptor SignalingPlatelet-derived Growth Factor ReceptorsProliferation AssaysWestern Blot Analysis
BACKGROUND: Ovarian cancer (OV) is the deadliest gynecological cancer. Transmembrane protein 119 (TMEM119) has been reported as oncogene in several human cancers. However, the function of TMEM119 in OV is still poorly known. METHODS: Western blot and qRT-PCR were used to analyze TMEM119 levels. Transwell assays, wound healing assays, CCK-8 assays and EdU cell proliferation assays were designed to explore the function and potential mechanism of TMEM119 in malignant biological behaviors in OV. RESULTS: TMEM119 was observed to be overexpressed in OV tissues and associated with poor survival in OV patients. Knockdown and overexpression experiments demonstrated that TMEM119 promoted proliferation, invasion, and migration in OV cells in vitro. TMEM119 mRNA expression was related to the pathways of focal adhesion according to Gene Set Enrichment Analyses and was correlated with the mRNA expression level of platelet-derived growth factor receptor beta (PDGFRB). TMEM119 exerted oncogenic effects partially by regulating the expression of PDGFRB and by activating the PI3K/AKT signaling pathway. CONCLUSIONS: Collectively, our findings highlight the potential role of TMEM119 in the malignant biological behavior of OV, which may serve as a potential biomarker and a therapeutic candidate for OV.
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Rebecca L. Siegel, Kimberly D. Miller, Ahmedin Jemal · CA A Cancer Journal for Clinicians · 2018 · 17K citations · Full text
GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses
Zefang Tang, Chenwei Li, Chenwei Li et al. · Nucleic Acids Research · 2017 · 10.6K citations · Full text
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