Article3 Biotech2020
Construction and analysis of miRNA-mRNA regulatory networks in the radioresistance of nasopharyngeal carcinoma.
Article in 3 Biotech, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- Revealing the Potential of Solamargine for Anti Metastasis and Angiogenesis Inhibition in Nasopharyngeal Carcinoma.Journal of inflammation research · 2025Article
- FOXK1 regulates epithelial-mesenchymal transition and radiation sensitivity in nasopharyngeal carcinoma via the JAK/STAT3 signaling pathway.Genes & genomics · 2023Article
- Bioinformatics Analysis of mRNAs and miRNAs for Identifying Potential Biomarkers in Lung Adenosquamous Carcinoma.Computational and mathematical methods in medicine · 2022Article
- miR-484: A Potential Biomarker in Health and Disease.Frontiers in oncology · 2022Review
- A novel three-microRNA signature for predicting survival in patients with nasopharyngeal carcinoma.Journal of dental sciences · 2022Article
- Target-swiped DNA lock for electrochemical sensing of miRNAs based on DNAzyme-assisted primer-generation amplification.Mikrochimica acta · 2021Article
- Nasopharyngeal carcinoma related miRNA detection through a DSN enzyme assisted tetrahedral probe for more accurate prognosis.RSC advances · 2021Article
- TGF-Beta Induced Key Genes of Osteogenic and Adipogenic Differentiation in Human Mesenchymal Stem Cells and MiRNA-mRNA Regulatory Networks.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiotherapy has been the major treatment strategy for nasopharyngeal carcinoma (NPC), while the occurrence of radioresistance may lead to cancer recurrence or progression. This study aimed to identify the key microRNAs (miRNAs) and their target genes in the development of NPC radioresistance. Public microarray data were searched and analyzed to screen the differentially expressed miRNAs (DEMs) and genes (DEGs) between radioresistant and radiosensitive NPC samples. MiRNA-mRNA networks were constructed. As a result, 5 DEMs and 195 DEGs were screened out. The DEGs were enriched in various signaling pathways, such as Cytokine-cytokine receptor interaction, Jak-STAT signaling pathway, and Toll-like receptor signaling pathway. Several hub genes, such as IGF2, OLA1, BBS10, MMP9, and BBS7 were identified. A regulatory miRNA-mRNA network containing 87 miRNA-mRNA pairs was constructed. Then, 14 key miRNA-mRNA pairs that contained the hub genes were further filtered out. In the networks, miR-203a-3p had the largest number of target genes. Afterwards, the candidate pairs (miR-203a-3p/BTK and miR-484/OLA1) have been verified by a qRT-PCR assay. In summary, we identified several miRNAs and hub genes via big data screening. A total of 87 miRNA-mRNA pairs (including 14 key pairs) were predicted to play a crucial role in the development of NPC radioresistance. These data provide a bioinformatics basis for further exploring the molecular mechanism of radiotherapy resistance in NPC. Future studies are needed to validate the results.
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Registered trials
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