Dataset Information

Circular RNA PVT1 promotes the invasion and epithelial-mesenchymal transition of breast cancer cells through serving as a competing endogenous RNA for miR-204-5p.

ABSTRACT: Purpose:Circular RNAs (circRNAs) are a class of covalently closed circular RNA transcripts and have been found to regulate the progression of human malignancies. The objective of this study was to identify the functions of circRNAs in breast cancer (BCa). Patients and methods:BCa and adjacent non-cancerous tissues were collected from 99 patients. Kaplan-Meier analysis was used to analyze the relationship between circPVT1 and prognosis. CircPVT1 expression levels in BCa tissues and cell lines were detected via PCR. Transfection technology was used to silence circPVT1 and overexpress miR-204-5p. Cell biological behavior was analyzed, and epithelial-mesenchymal transition (EMT) related proteins were detected by Western blot. In vivo experiments were performed with the subcutaneous xenograft tumor model. Results:CircPVT1 was markedly overexpressed in BCa tissues and cell lines. Higher expression of circPVT1 was correlated with poor prognosis of BCa patients. Knockdown circPVT1 significantly suppressed the proliferation, migration and invasion of BCa cells invitro, and suppressed BCa tumor growth invivo. CircPVT1 knockdown upregulated E-cadherin and downregulated N-cadherin, Vimentin, Slug and Twist in BCa cells. Moreover, circPVT1 could serve as a competing endogenous RNA (ceRNA) for miR-204-5p, and restoration of miR-204-5p abrogated the oncogenic role of circPVT1 in BCa cells. Conclusion:CircPVT1 as a potentially valuable biomarker for BCa diagnosis and therapeutic target for BCa treatment. CircPVT1 might promote the invasion and EMT of BCa cells by serving as aceRNA for miR-204-5p.

SUBMITTER: Bian Q

PROVIDER: S-EPMC7502987 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Circular RNA PVT1 promotes the invasion and epithelial-mesenchymal transition of breast cancer cells through serving as a competing endogenous RNA for miR-204-5p.

Bian Qingzhao Q

OncoTargets and therapy 20191231

<h4>Purpose</h4>Circular RNAs (circRNAs) are a class of covalently closed circular RNA transcripts and have been found to regulate the progression of human malignancies. The objective of this study was to identify the functions of circRNAs in breast cancer (BCa).<h4>Patients and methods</h4>BCa and adjacent non-cancerous tissues were collected from 99 patients. Kaplan-Meier analysis was used to analyze the relationship between circPVT1 and prognosis. CircPVT1 expression levels in BCa tissues and ...[more]

PMID: 32982273

Similar Datasets

Project description:Background: Genetic characteristics remain underutilized for establishing prognostic models for colorectal cancer (CRC). We explored the underlying regulatory mechanisms of circular RNAs (circRNAs) that act as competing endogenous RNAs (ceRNAs) and constructed a gene-based nomogram to predict overall survival (OS) in patients with CRC. Methods: We obtained circRNA expression profiling data from the Gene Expression Omnibus (GEO) database. MicroRNA (miRNA) and mRNA expression profiles, with associated clinical data, were obtained from The Cancer Genome Atlas (TCGA). A ceRNA network was established using Cytoscape. Interactions between differential genes were analyzed, and hub genes were identified using the cytoHubba application. The R package "clusterProfiler" was used to evaluate the Gene Ontology (GO) annotations of the differentially expressed mRNAs and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Database-extracted patients were randomized into a training and validation cohorts. A prognostic model was developed using the training set based on multivariate Cox analyses and was then assessed in the validation set. The accuracy of the model was evaluated using discrimination and calibration plots. Results: Thirteen circRNAs, 62 miRNAs, and 301 mRNAs were used to construct the ceRNA network; 10 hub genes were identified via the PPI network. Next, a circRNA- miRNA hub of gene-regulatory modules was established based on four differentially expressed circRNAs, eight differentially expressed miRNAs, and nine differentially expressed mRNAs (DEmRNAs). GO and KEGG pathway analyses indicated the possible association of DEmRNAs with CRC onset and progression. Multivariate analyses revealed that age, tumor stage, and CXCR5 expression were independent risk factors for OS. A CXCR5-based model was developed to predict the OS of patients with CRC in our training set. Our nomogram showed relatively good accuracy, with C-indices of 0.757 and 0.702 in the training and validation sets, respectively. The areas under the curve of the nomograms predicting 3- and 5-years OS were 0.749 and 0.805 in the training set and 0.706 and 0.779 in the validation set, respectively. Conclusions: Our data suggested that the hsa_circ_00001666/has-mir-1229/CXCR5 axis plays an important role in the pathogenesis of CRC, thereby identifying a potential therapeutic target. The proposed CXCR5-based nomogram may also assist surgeons in devising personalized treatments for patients with this disease.

Project description:Evidence is increasingly indicating that circular RNAs (circRNAs) are closely involved in tumorigenesis and cancer progression. However, the function and application of circRNAs in lung adenocarcinoma (LUAD) are still unknown. In this study, we constructed a circRNA-associated competitive endogenous RNA (ceRNA) network to investigate the regulatory mechanism of LUAD procession and further constructed a prognostic signature to predict overall survival for LUAD patients. Differentially expressed circRNAs (DEcircRNAs), differentially expressed miRNAs (DEmiRNAs), and differentially expressed mRNAs (DEmRNAs) were selected to construct the ceRNA network. Based on the TargetScan prediction tool and Pearson correlation coefficient, we constructed a circRNA-associated ceRNA network including 11 DEcircRNAs, 8 DEmiRNAs, and 49 DEmRNAs. GO and KEGG enrichment indicated that the ceRNA network might be involved in the regulation of GTPase activity and endothelial cell differentiation. After removing the discrete points, a PPI network containing 12 DEmRNAs was constructed. Univariate Cox regression analysis showed that three DEmRNAs were significantly associated with overall survival. Therefore, we constructed a three-gene prognostic signature for LUAD patients using the LASSO method in the TCGA-LUAD training cohort. By applying the signature, patients could be categorized into the high-risk or low-risk subgroups with significant survival differences (HR: 1.62, 95% CI: 1.12-2.35, log-rank p = 0.009). The prognostic performance was confirmed in an independent GEO cohort (GSE42127, HR: 2.59, 95% CI: 1.32-5.10, log-rank p = 0.004). Multivariate Cox regression analysis proved that the three-gene signature was an independent prognostic factor. Combining the three-gene signature with clinical characters, a nomogram was constructed. The primary and external verification C-indexes were 0.717 and 0.716, respectively. The calibration curves for the probability of 3- and 5-year OS showed significant agreement between nomogram predictions and actual observations. Our findings provided a deeper understanding of the circRNA-associated ceRNA regulatory mechanism in LUAD pathogenesis and further constructed a useful prognostic signature to guide personalized treatment of LUAD patients.

Dataset Information

Circular RNA PVT1 promotes the invasion and epithelial-mesenchymal transition of breast cancer cells through serving as a competing endogenous RNA for miR-204-5p.

Publications

Circular RNA PVT1 promotes the invasion and epithelial-mesenchymal transition of breast cancer cells through serving as a competing endogenous RNA for miR-204-5p.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets