SOS1 promotes epithelial-mesenchymal transition of Epithelial Ovarian Cancer(EOC) cells through AKT independent NF-κB signaling pathway

Epithelial ovarian cancer (EOC) is the most lethal gynecologic malignancy. Despite the anticancer capabilities of emodin observed in many cancers, including EOC, the underlying molecular mechanism remains to be elucidated. A crucial link has been discovered between the acquisition of metastatic traits and the epithelial-mesenchymal transition (EMT). The present study aimed to determine whether emodin could inhibit the EMT of EOC cells and explore the underlying mechanism. The CCK-8 assay and transwell assay showed that emodin effectively repressed the abilities of proliferation, invasion, and migration in A2780 and SK-OV-3 cells. The Western blot showed that emodin upregulated epithelial markers (E-cadherin and Claudin) while it downregulated mesenchymal markers (N-cadherin and Vimentin) and transcription factor (Slug) in a dose-dependent fashion. After transfection of siRNA-Slug, both Slug and N-cadherin were downregulated in EOC cells while E-cadherin was upregulated, which was intensified by emodin. Besides, emodin decreased the expression of ILK, p-GSK-3β, β-catenin, and Slug. Transfection of siRNA-ILK also achieved the same effects, which was further strengthened by following emodin treatment. Nevertheless, SB216763, an inhibitor of GSK-3β, could reverse the effects of emodin except for ILK expression. These findings suggest that emodin inhibited the EMT of EOC cells via ILK/GSK-3β/Slug signaling pathway.

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DPY30 is required for the enhanced proliferation, motility and epithelial-mesenchymal transition of epithelial ovarian cancer cells

International Journal of Molecular Medicine ◽

10.3892/ijmm.2018.3869 ◽

2018 ◽

Cited By ~ 1

Author(s):

Lili Zhang ◽

Shuguang Zhang ◽

Aihua Li ◽

Anqi Zhang ◽

Shiqian Zhang ◽

...

Keyword(s):

Ovarian Cancer ◽

Epithelial Ovarian Cancer ◽

Cancer Cells ◽

Epithelial Mesenchymal Transition ◽

Ovarian Cancer Cells ◽

Mesenchymal Transition

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Snail Driving Alternative Splicing of CD44 by ESRP1 Enhances Invasion and Migration in Epithelial Ovarian Cancer

Cellular Physiology and Biochemistry ◽

10.1159/000484458 ◽

2017 ◽

Vol 43 (6) ◽

pp. 2489-2504 ◽

Cited By ~ 16

Author(s):

Le Chen ◽

Ying Yao ◽

Lijuan Sun ◽

Jiajia Zhou ◽

Minmin Miao ◽

...

Keyword(s):

Ovarian Cancer ◽

Alternative Splicing ◽

Epithelial Ovarian Cancer ◽

Epithelial Mesenchymal Transition ◽

Regulatory Protein ◽

Cell Counting ◽

Migration And Invasion ◽

Mesenchymal Transition

Background/Aims: Our study aims to investigate the role, effect and mechanisms of ESRP1 (epithelial splicing regulatory protein 1) in epithelial-mesenchymal transition (EMT) in epithelial ovarian cancer (EOC). Methods: Microarray and immunohistochemical analysis of ESRP1 expression were performed in EOC cases. The correlations between ESRP1 expression and clinical factors on EOC were assessed. Lentivirus-mediated RNA interference and EGFP vector which contains ESRP1 gene were used to down-regulate and up-regulate ESRP1 expression in human EOC cell lines. Roles of ESRP1 in cell growth, migration and invasion of EOC cells were also measured by Cell Counting Kit-8 and Transwell systems in vitro and by a nude mice intraperitoneal transplantation model in vivo. Results: By the analysis of Gene Expression Omnibus (GEO) (p<0.05) and our own microarray data (p<0.001), ESRP1 expression in EOC was significantly different from normal ovarian tissue. It was abundant in the nuclei of cancer cells and in malignant lesions. However, it was weakly expressed or negative in both normal and benign lesions. High ESRP1 expression in EOC was associated with poor clinical outcomes. Decreased ESRP1 expression significantly increased cell migration and invasion both in vivo and in vitro. Snail strongly repressed ESRP1 transcription through binding to the ESRP1 promoter in EOC cells. Furthermore, ESRP1 regulated the expression of CD44s. Down-regulated ESRP1 resulted in an isoform switching from CD44v to CD44s, which modulated epithelial-mesenchymal transition (EMT) program in EOC. Up-regulatin of ESRP1 was detected in mesenchymal to epithelial transition (MET) in vivo. Conclusions: ESRP1 regulates CD44 alternative splicing during the EMT process which plays an important role in EOC carcinogenesis. In addition, ESRP1 is associated with disease prognosis in EOC.

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KRT7 promotes epithelial‑mesenchymal transition in ovarian cancer via the TGF‑β/Smad2/3 signaling pathway

Oncology Reports ◽

10.3892/or.2020.7886 ◽

2020 ◽

Vol 45 (2) ◽

pp. 481-492

Author(s):

Qiang An ◽

Ting Liu ◽

Ming‑Yang Wang ◽

Yu‑Jia Yang ◽

Zhen‑Dong Zhang ◽

...

Keyword(s):

Ovarian Cancer ◽

Signaling Pathway ◽

Epithelial Mesenchymal Transition ◽

Mesenchymal Transition

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Development and Validation for Prognostic Nomogram of Epithelial Ovarian Cancer Recurrence based on Circulating Tumor Cells and Epithelial–Mesenchymal Transition

10.21203/rs.3.rs-86051/v2 ◽

2020 ◽

Author(s):

Jiani Yang ◽

Jun Ma ◽

Yue Jin ◽

Shanshan Cheng ◽

Shan Huang ◽

...

Keyword(s):

Ovarian Cancer ◽

Risk Stratification ◽

Epithelial Ovarian Cancer ◽

Tumor Cells ◽

Circulating Tumor Cells ◽

Epithelial Mesenchymal Transition ◽

Ca 125 ◽

Mesenchymal Transition ◽

Cox Regression Analysis ◽

Significant Difference

Abstract We aimed to determine prognosis value of circulating tumor cells(CTCs) undergoing epithelial–mesenchymal transition(EMT) in epithelial ovarian cancer(EOC) recurrence. We used CanPatrol CTC-enrichment technique to detect CTCs from blood samples and classify subpopulations into epithelial, mesenchymal and hybrids. To construct nomogram, prognostic factors were selected by Cox regression analysis. Risk stratification was performed through Kaplan–Meier analysis among training group(n=114) and validation group(n=38). By regression screening, both CTC counts(HR 1.187; 95%CI 1.098-1.752; p=0.012) and M-CTC(HR 1.098; 95%CI 1.047-1.320; p=0.009) were demonstrated as independent factors for recurrence. Other variables including pathological grade, FIGO stage, lymph node metastasis, ascites and CA-125 were also collected(p < 0.005) to construct nomogram. The C-index of internal and external validation for nomogram was 0.913 and 0.874. We found significant predictive value for nomogram with/without CTCs (AUC 0.8705 and 0.8097). Taking CTC counts and M-CTC into separation, the values were 0.8075 and 0.8262. Finally, survival curves of risk stratification based on CTC counts(p=0.0241), M-CTC(p=0.0107) and the nomogram(p=0.0021) were drawn with significant difference. In conclusion, CTCs could serve as a novel factor for EOC prognosis. Nomogram model constructed by CTCs and other clinical parameters could predict EOC recurrence and perform risk stratification for clinical decision-making.Trial registration: Chinese Clinical Trial Registry, ChiCTR-DDD-16009601, October 25, 2016

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