Long non‑coding RNA PLK1S1 was associated with renal cell carcinoma progression by interacting with microRNA‑653 and altering C‑X‑C chemokine receptor 5 expression

Li, Weiyuan; Yang, Dan; Zhao, Shutian; Li, Dong; Liu, Min

doi:10.3892/or.2020.7742

Cited by 7 publications

(5 citation statements)

References 32 publications

(32 reference statements)

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“…miR-653 was implied to be an anti-tumor gene in some cancers. For example, lncRNA PLK1S1 expedited renal cell carcinoma cell viability and invasion by absorbing miR‑653 and altering CXCR5 level [ 35 ]. Moreover, circHIPK3 facilitated gastric cancer metastasis through interacting with miR-653 and miR-338-3p to modulate NRP1 expression under hypoxia [ 36 ].…”

Section: Discussionmentioning

confidence: 99%

Circular RNA circ_0061140 accelerates hypoxia-induced glycolysis, migration, and invasion in lung adenocarcinoma through the microRNA-653/hexokinase 2 (HK2) axis

et al. 2022

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Circular RNA (circRNA) is considered to be an essential regulator of multiple human malignancies. However, the role and molecular mechanism of circ_0061140 in lung adenocarcinoma ((LUAD) remain elusive. The levels of circ_0061140, microRNA (miR)-653 and hexokinase 2 (HK2) were examined by RT-qPCR. Downstream targets of circ_0061140 were predicted by circinteractome website and verified by luciferase reporter and RIP assays. HK2 protein level was assessed via Western blotting. The migratory and invasive abilities of LUAD cells were assessed via wound healing and transwell assays. It was uncovered that circ_0061140 level was elevated in LUAD samples, and the high level of circ_0061140 was related to poor survival rate of LUAD patients. Circ_0061140 deletion inhibited glycolysis, migration and invasion of hypoxia-treated LUAD cells. Moreover, circ_0061140 could modulate HK2 level by absorbing miR-653. Furthermore, miR-653 silence or HK2 addition neutralized the effects of circ_0061140 knockdown on LUAD progression under hypoxia. This study elaborated that circ_0061140 accelerated hypoxia-triggered glycolysis, migration and invasion in LUAD cells via downregulating miR-653 and increasing HK2 expression.

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Section: Discussionmentioning

confidence: 99%

Circular RNA circ_0061140 accelerates hypoxia-induced glycolysis, migration, and invasion in lung adenocarcinoma through the microRNA-653/hexokinase 2 (HK2) axis

et al. 2022

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“…PLK1s1 is reported as a one of the most promising genes associated with Attention-deficit hyperactivity disorder (ADHD) [53]. Another study revealed that PLK1S1 promoted (Renal cell carcinoma) RCC tumorigenesis and enhanced sorafenib resistance of RCC through the miR-653/CXCR5 pathway [54].…”

Section: Discussionmentioning

confidence: 99%

Gene Expression Profiles Reveal Potential Targets for Breast Cancer Diagnosis and Treatment

Nasirpour

Anvar

Alireza

et al. 2022

Preprint

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Figuring out the molecular mechanisms underlying breast cancer is essential for the diagnosis and treatment of this invasive disorder. Hence it is important to identify the most significant genes correlated with molecular events and to study their interactions in order to identify breast cancer mechanisms. Here we focus on the gene expression profiles, which we have detected in breast cancer. High-throughput genomic innovations such as microarray have helped us understand the complex dynamics of multisystem diseases such as diabetes and cancer. We performed an analysis using microarray datasets with Networkanalyst bioinformatics tool, based on a random effect model. We achieved pivotal differential expressed genes like ADAMTS5, SCARA5, IGSF10, C2orf40 that had the most down-regulation and also COL10A1, COL11A1, UHRF1 that they had most up-regulation in four-stage of breast cancer. We used CentiScape and AllegroMCODE plugins in CytoScape software in order to achieve better insight into and figure out hub genes in the protein-protein interactions network. Besides, we utilized DAVID online software to find involved biological pathways and Gene ontology, also used Expression2kinase software in order to find upstream regulatory transcription factors and kinases. In conclusion, we have found that the statistical network inference approach is useful in gene prioritization, is capable of contributing to practical network signature discovery, providing insights into the mechanisms relevant to the disease. Our study has also developed a new candidate genes, pathways, transcription factors, and kinases that may be candidates for diagnostic biomarkers and also for drug design after experimental examinations.

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“…Similar to miR-146b-5p, miR-653 plays different roles in different cancers. It appears to function as a tumor suppressor in most malignant tumors, such as renal cell carcinoma, melanoma, gastric cancer, cervical cancer, breast cancer, Wilms' tumor and non-small cell lung cancer [32][33][34][35][36][37][38], but it was also reported to act as an onco-miRNA in prostate cancer and bladder cancer [39,40]. Regardless, our meta-analysis indicated that miR-653 was downregulated in pancreatic cancer, suggesting that it might suppress pancreatic cancer.…”

Section: Discussionmentioning

confidence: 99%

Regulatory Network Analysis Reveals Prognosis-Related CircRNAs in Pancreatic Cancer Cells

Zhang

Zeng

et al. 2020

Preprint

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Objective: To construct a key prognosis-related regulatory network and to identify the epigenomic alterations of RNAs that have crucial functions in cancer pathogenesis.Methods: RNA expression profiles of miRNAs, mRNAs and circRNAs were extracted from the NCBI GEO and EBI ArrayExpress databases. The identification of differentially expressed genes was performed by R language. Databases such as starBase and TCGA were used for annotation, visualization, and integrated discovery. GO and KEGG pathway enrichment analyses were performed by DAVID 6.8. The key prognosis-related regulatory network was constructed with Cytoscape software. The involved circRNAs were verified by quantitative real-time PCR (qRT-PCR) in five pancreatic cancer cell lines. Proliferation ability was assessed by the CCK-8 assay, apoptosis was detected by flow cytometry, and migratory and invasive abilities were assessed by Transwell assays.Results: In total, 798 differentially expressed genes, consisting of 85 circRNAs, 19 miRNAs and 694 mRNAs, were obtained. A miRNA interaction network was predicted and used to construct a prognosis-related regulatory network. GO annotation and KEGG pathway analysis revealed important biological processes and pathways in pancreatic cancers. The key regulatory factors in the network were miR-146b-5p and miR-152. Eight circRNAs included in the network were verified, and hsa_circ_0006502 was downregulated in the five tested pancreatic cancer cell lines and functioned as a tumor suppressor, as predicted.Conclusion: In conclusion, a key prognosis-related regulatory network in pancreatic cancers was constructed through bioinformatics analysis of public RNA databases, and miR-146b-5p and miR-152 were the key regulatory factors. Hsa_circ_0006502 was identified as a tumor suppressor that interacted closely with miR-146b-5p and might serve as a potential therapeutic agent.

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Long non‑coding RNA PLK1S1 was associated with renal cell carcinoma progression by interacting with microRNA‑653 and altering C‑X‑C chemokine receptor 5 expression

Cited by 7 publications

References 32 publications

Circular RNA circ_0061140 accelerates hypoxia-induced glycolysis, migration, and invasion in lung adenocarcinoma through the microRNA-653/hexokinase 2 (HK2) axis

Circular RNA circ_0061140 accelerates hypoxia-induced glycolysis, migration, and invasion in lung adenocarcinoma through the microRNA-653/hexokinase 2 (HK2) axis

Gene Expression Profiles Reveal Potential Targets for Breast Cancer Diagnosis and Treatment

Regulatory Network Analysis Reveals Prognosis-Related CircRNAs in Pancreatic Cancer Cells

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