ArticleProceedings of the National Academy of Sciences of the United States of America2013
MicroRNA 4423 is a primate-specific regulator of airway epithelial cell differentiation and lung carcinogenesis.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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39 citing papers in PubMed, 60 citations in OpenAlex.
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- Comprehensive bioinformatics analysis of metabolism‑related microRNAs in high myopia in young and old adults with age‑related cataracts.Molecular medicine reports · 2025Article
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- Small RNA transcriptome analysis using parallel single-cell small RNA sequencing.Scientific reports · 2023Article
- Small Non-Coding RNAs in Human Cancer.Genes · 2022Review
- Implication of genetic variants in primary microRNA processing sites in the risk of multiple sclerosis.EBioMedicine · 2022Article
- High miR203a-3p and miR-375 expression in the airways of smokers with and without COPD.Scientific reports · 2022Article
- Role of airway epithelial cell miRNAs in asthma.Frontiers in allergy · 2022Review
- MicroRNA-4423-3p inhibits proliferation of fibroblast-like synoviocytes by targeting matrix metalloproteinase 13 in rheumatoid arthritis.Bioengineered · 2021Article
- Long noncoding RNA TINCR is a novel regulator of human bronchial epithelial cell differentiation state.Physiological reports · 2021Article
- miR-138 and miR-193 target long non-coding RNA UCA1 to inhibit cell proliferation, migration, and invasion of lung cancer.Thoracic cancer · 2020Article
- Bioinformatics Analysis of Evolution and Human Disease Related Transposable Element-Derived microRNAs.Life (Basel, Switzerland) · 2020Review
- The Relationship Between rs3212986C>A Polymorphism and Tumor Stage in Lung Cancer Patients.Cureus · 2019Article
- Genome-wide tracts of homozygosity and exome analyses reveal repetitive elements with Barrets esophagus/esophageal adenocarcinoma risk.BMC bioinformatics · 2019Article
- Genomic Characterization of TP53-Wild-Type Esophageal Carcinoma.Translational oncology · 2019Article
- Integrative Analysis of miRNA and mRNA Expression Profiles Associated With Human Atrial Aging.Frontiers in physiology · 2019Article
- The Airway Transcriptome as a Biomarker for Early Lung Cancer Detection.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018Review
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21 authors at 6 institutions in 3 countries.
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Abstract
Smoking is a significant risk factor for lung cancer, the leading cause of cancer-related deaths worldwide. Although microRNAs are regulators of many airway gene-expression changes induced by smoking, their role in modulating changes associated with lung cancer in these cells remains unknown. Here, we use next-generation sequencing of small RNAs in the airway to identify microRNA 4423 (miR-4423) as a primate-specific microRNA associated with lung cancer and expressed primarily in mucociliary epithelium. The endogenous expression of miR-4423 increases as bronchial epithelial cells undergo differentiation into mucociliary epithelium in vitro, and its overexpression during this process causes an increase in the number of ciliated cells. Furthermore, expression of miR-4423 is reduced in most lung tumors and in cytologically normal epithelium of the mainstem bronchus of smokers with lung cancer. In addition, ectopic expression of miR-4423 in a subset of lung cancer cell lines reduces their anchorage-independent growth and significantly decreases the size of the tumors formed in a mouse xenograft model. Consistent with these phenotypes, overexpression of miR-4423 induces a differentiated-like pattern of airway epithelium gene expression and reverses the expression of many genes that are altered in lung cancer. Together, our results indicate that miR-4423 is a regulator of airway epithelium differentiation and that the abrogation of its function contributes to lung carcinogenesis.
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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.