OBJECTIVE Our goal was to evaluate the effects of simvastatin on endometrial cancer cell lines and primary cultures of endometrial cancer cells. METHODS Cell proliferation in the ECC-1 and Ishikawa endometrial cancer cell lines and primary cultures of endometrial cancer cells was assessed by MTT assay. Apoptosis and cell cycle were detected by Annexin V assay and propidium iodide staining, respectively. Reactive oxygen species and cell adhesion were assessed using ELISA assays. Invasion was analyzed using a transwell invasion assay. Mitochondrial DNA damage was confirmed using qPCR. The effects of simvastatin on the AKT/mTOR and MAPK pathways were determined by Western blotting. RESULTS Simvastatin inhibited cell proliferation in a dose-dependent manner in both endometrial cancer cell lines and 5/8 primary cultures of endometrial cancer cells. Simvastatin treatment resulted in G1 cell cycle arrest, a reduction in the enzymatic activity of HMG-CoA, induction of apoptosis as well as DNA damage and cellular stress. Treatment with simvastatin resulted in inhibition of the MAPK pathway and exhibited differential effects on the AKT/mTOR pathway in the ECC-1 and Ishikawa cells. Minimal change in AKT phosphorylation was seen in both cell lines. An increase in phosphorylated S6 was seen in ECC-1 and a decrease was seen in Ishikawa. Treatment with simvastatin reduced cell adhesion and invasion (p<0.01) in both cell lines. CONCLUSION Simvastatin had significant anti-proliferative and anti-metastatic effects in endometrial cancer cells, possibly through modulation of the MAPK and AKT/mTOR pathways, suggesting that statins may be a promising treatment strategy for endometrial cancer.

BackgroundAccumulating evidence suggests long noncoding RNAs (lncRNAs) play important roles in the initiation and progression of cancers. However, their functions in chromophobe renal cell carcinoma (chRCC) are not fully understood.MethodsWe analyzed the expression profiles of lncRNA, microRNA, and protein-coding RNA, along with the clinical information of 59 primary chRCC patients collected from The Cancer Genome Atlas database to identify lncRNA biomarkers for prognosis. We also constructed an lncRNA–microRNA–mRNA coexpression network (competitive endogenous RNAs network) by bioinformational approach.ResultsOne hundred and forty-two lncRNAs were found to be differentially expressed between the cancer and normal tissues (fold change ≥1.5, P<0.001). Among them, 12 lncRNAs were also differentially expressed with the corresponding clinical characteristics (fold change ≥1.5, P<0.01). Besides, 7 lncRNAs (COL18A1-AS, BRE-AS1, SNHG7, TMEM51-AS1, C21orf62-AS1, LINC00336, and LINC00882) were identified to be significantly correlated with overall survival (log-rank P<0.05). A competitive endogenous RNA network in chRCC containing 16 lncRNAs, 18 miRNAs, and 168 protein-coding RNAs was constructed.ConclusionOur results identified specific lncRNAs associated with chRCC progression and prognosis, and presented competing endogenous RNA potential of lncRNAs in the tumor.

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