ArticleExperimental and therapeutic medicine2018
Role of miR-520b in non-small cell lung cancer.
Article in Experimental and therapeutic medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Rab22a is a novel prognostic marker for cell progression in breast cancer.International journal of molecular medicine · 2020Trial
- Comprehensive Computational Assessment of SNAI1 and SNAI2 in Gastric Cancer: Linking EMT, Tumor Microenvironment, and Survival Outcomes.Cancer informatics · 2025Article
- Insights into the complex interactions between Rab22a and extracellular vesicles in cancers.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024Review
- The Importance of the Immune System and Molecular Cell Signaling Pathways in the Pathogenesis and Progression of Lung Cancer.International journal of molecular sciences · 2023Review
- Clinical Significance and Biological Function of miR-1274a in Non-small Cell Lung Cancer.Molecular biotechnology · 2022Article
- Narrative review: molecular and genetic profiling of oligometastatic non-small cell lung cancer.Translational lung cancer research · 2021Review
- MicroRNAs and Long Non-Coding RNAs as Potential Candidates to Target Specific Motifs of SARS-CoV-2.Non-coding RNA · 2021Article
- Liquid biopsy approaches for pleural effusion in lung cancer patients.Molecular biology reports · 2020Review
- MLK3 is a newly identified microRNA-520b target that regulates liver cancer cell migration.PloS one · 2020Article
- MicroRNA in Lung Cancer Metastasis.Cancers · 2019Review
- MicroRNAs - novel biomarkers for malignant pleural effusions.Contemporary oncology (Poznan, Poland) · 2019Review
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the present study was to investigate the expression of microRNA (miR)-520b in non-small cell lung cancer (NSCLC) and its biological functions. Reverse transcription-quantitative polymerase chain reaction was used to detect the expression of miR-520b in 52 cases of NSCLC tissues, and its associations with tumor clinical staging and lymph node metastasis were analyzed. miR-520b mimics was transfected into A549 and Calu-3 cells. Cell proliferation, cell cycle, and cell invasion and migration abilities were assessed via cell counting kit-8 assay, flow cytometry and Transwell chamber assay, respectively. Western blot analysis was performed to detected protein expression levels, and dual luciferase reporter assay was used to detect the gene interaction. miR-520b expression was significantly downregulated in NSCLC. The expression of miR-520b in tumor tissues at N1 stage was lower than that at the N0 stage. miR-520b expression was negatively associated with clinical TNM staging. Furthermore, miR-520b mimic transfection inhibited the proliferation and invasion and metastasis abilities of A549 and Calu-3 cells. The expression of Rab22A was downregulated in the miR-520b mimics-transfected cells, whereas E-cadherin expression was increased, and vimentin expression was downregulated. Dual luciferase reporter assay demonstrated that miR-520b directly targeted the expression of Rab22A. Furthermore, Rab22A reversal downregulated the inhibitory effect of miR-520b. miR-520b expression was downregulated in NSCLC, which was negatively correlated with lymph node metastasis and TNM staging. miR-520b targeted on Rab22A to work as a tumor suppressor, inhibiting tumor proliferation and metastasis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.