EFNB2 facilitates cell proliferation, migration, and invasion in pancreatic ductal adenocarcinoma via the p53/p21 pathway and EMT

Zhu, Feng; Dai, Shangnan; Xu, Dalai; Hou, Chunmei; Liu, Tongtai; Chen, Qiu-Yang; Wu, Junli; Miao, Yi

doi:10.1016/j.biopha.2020.109972

Cited by 34 publications

(25 citation statements)

References 34 publications

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“…The pathological features of EMT include loss of cell-to-cell adhesion and cell polarity by epithelioid cells, which then transform into mesenchymal cells with increased proliferative, migratory, and invasive capacities. 23,24 In our study, western blot analysis revealed that overexpression of circRNA_100395 increased the expression of the epithelial marker, E-cadherin, and suppressed the mesenchymal proteins, N-cadherin, vimentin, and Slug, in PC3 and DU145 cells. Emerging studies have indicated that cell growth and metastasis are affected by EMT.…”

Section: Discussionsupporting

confidence: 50%

Inhibitory role of circRNA_100395 in the proliferation and metastasis of prostate cancer cells

Luo

et al. 2021

J Int Med Res

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Objective Circular RNAs (circRNAs) are non-coding RNAs with high cancer-specific expression and the potential for regulating tumorigenesis. CircRNA_100395 is expressed at low levels in many cancers and is involved in the regulation of tumor cell proliferation and metastasis. However, its expression and function in prostate cancer remain unclear. Methods Endogenous expression levels of circRNA_100395 and microRNA-1228 (miR-1228) in prostate cancer tissue samples and cell lines were detected by quantitative reverse transcription-polymerase chain reaction. Cell proliferation, invasion, and migration, cell cycle distribution, and epithelial–mesenchymal transition (EMT) were analyzed in circRNA_100395-overexpressing prostate cancer cells by Cell Counting Kit-8, flow cytometry, Transwell assay, and western blotting, respectively. Results CircRNA_100395 expression was downregulated in cancerous prostate tissues relative to adjacent normal tissues. CircRNA_100395 expression was negatively correlated with tumor size, Gleason score, tumor stage, and lymph node metastasis. Moreover, circRNA_100395 overexpression inhibited cell proliferation, altered cell cycle distribution, reduced cell migration and invasion abilities, and suppressed EMT in prostate cancer cells. Moreover, miR-1228 was a direct downstream target of circRNA_100395, and the anti-tumor ability of circRNA_100395 was significantly reversed by miR-1228. Conclusion This study identified circRNA_100395 as an anti-tumor circRNA and a potential therapeutic target for prostate cancer.

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Section: Discussionsupporting

confidence: 50%

Inhibitory role of circRNA_100395 in the proliferation and metastasis of prostate cancer cells

Luo

et al. 2021

J Int Med Res

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“…CD93 is a transmembrane receptor that is upregulated in tumor vessels in many types of cancer, including highgrade glioma (37). EFNB2 is expressed at abnormally high levels in some neoplasms, such as squamous cell carcinoma of the head and neck and colorectal cancer (38). The expression of GNAI2 in CD11c+ cells and IL6 in CD4+/CD11b+ DCs appears to promote colon tumor development in mice (39).…”

Section: Discussionmentioning

confidence: 99%

Prognostic Implication of the Expression Level of PECAM-1 in Non-small Cell Lung Cancer

Cao

Wang

et al. 2021

Front. Oncol.

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Background: Lung cancer is a malignant disease that threatens human health. Hence, it is crucial to identify effective prognostic factors and treatment targets. Single-cell RNA sequencing can quantify the expression profiles of transcripts in individual cells.Methods:GSE117570 profiles were downloaded from the Gene Expression Omnibus database. Key ligand-receptor genes in the tumor and the normal groups were screened to identify integrated differentially expressed genes (DEGs) from the GSE118370 and The Cancer Genome Atlas Lung Adenocarcinoma databases. DEGs associated with more ligand-receptor pairs were selected as candidate DEGs for Gene Ontology (GO) functional annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and survival analysis. In addition, we conducted validation immunohistochemical experiments on postoperative specimens of 30 patients with lung cancer.Results: A total of 18 candidate DEGs were identified from the tumor and the normal groups. The analysis of the GO biological process revealed that these DEGs were mainly enriched in wound healing, in response to wounding, cell migration, cell motility, and regulation of cell motility, while the KEGG pathway analysis found that these DEGs were mainly enriched in proteoglycans in cancer, bladder cancer, malaria, tyrosine kinase inhibitor resistance in Epidermal Growth Factor Receptor (EGFR), and the ERBB signaling pathway. Survival analysis showed that a high, rather than a low, expression of platelet endothelial cell adhesion molecule-1 (PECAM-1) was associated with improved survival. Similarly, in postoperative patients with lung cancer, we found that the overall survival of the PECAM-1 high-expression group shows a better trend than the PECAM-1 low-expression group (p = 0.172).Conclusions: The candidate DEGs identified in this study may play some important roles in the occurrence and development of lung cancer, especially PECAM-1, which may present potential prognostic biomarkers for the outcome.

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“…ADAM9 is highly expressed in pancreatic ductal adenocarcinoma and is closely related to vascular invasion of cancer cells [26]. Zhu et al reported that EFNB2 promoted the differentiation, migration and invasion of cancer cells in pancreatic ductal adenocarcinoma [27]. FEN1, a direct target of miR-140-5p, is related to the epithelial-mesenchymal transition of hepatocellular carcinoma cells [28].…”

Section: Discussionmentioning

confidence: 99%

Identification of a competing endogenous RNA network associated with prognosis of pancreatic adenocarcinoma

et al. 2020

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Background Emerging evidence suggests that competing endogenous RNAs plays a crucial role in the development and progress of pancreatic adenocarcinoma (PAAD). The objective was to identify a new lncRNA-miRNA-mRNA network as prognostic markers, and develop and validate a multi-mRNAs-based classifier for predicting overall survival (OS) in PAAD. Methods Data on pancreatic RNA expression and clinical information of 445 PAAD patients and 328 normal subjects were downloaded from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC) and Genotype-Tissue Expression (GTEx). The weighted correlation network analysis (WGCNA) was used to analyze long non-coding RNA (lncRNA) and mRNA, clustering genes with similar expression patterns. MiRcode was used to predict the sponge microRNAs (miRNAs) corresponding to lncRNAs. The downstream targeted mRNAs of miRNAs were identified by starBase, miRDB, miRTarBase and Targetscan. A multi-mRNAs-based classifier was develop using least absolute shrinkage and selection operator method (LASSO) COX regression model, which was tested in an independent validation cohort. Results A lncRNA-miRNA-mRNA co-expression network which consisted of 60 lncRNAs, 3 miRNAs and 3 mRNAs associated with the prognosis of patients with PAAD was established. In addition, we constructed a 14-mRNAs-based classifier based on a training cohort composed of 178 PAAD patients, of which the area under receiver operating characteristic (AUC) in predicting 1-year, 3-year, and 5-year OS was 0.719, 0.806 and 0.794, respectively. The classifier also shown good prediction function in independent verification cohorts, with the AUC of 0.604, 0.639 and 0.607, respectively. Conclusions A novel competitive endogenous RNA (ceRNA) network associated with progression of PAAD could be used as a reference for future molecular biology research.

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EFNB2 facilitates cell proliferation, migration, and invasion in pancreatic ductal adenocarcinoma via the p53/p21 pathway and EMT

Cited by 34 publications

References 34 publications

Inhibitory role of circRNA_100395 in the proliferation and metastasis of prostate cancer cells

Inhibitory role of circRNA_100395 in the proliferation and metastasis of prostate cancer cells

Prognostic Implication of the Expression Level of PECAM-1 in Non-small Cell Lung Cancer

Identification of a competing endogenous RNA network associated with prognosis of pancreatic adenocarcinoma

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