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Updated: Mar 26, 2026

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis
Published on: March 30, 2019
Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing
Fan Wang1, Juan Lu2, Xiaohong Peng3
1Department of Otolaryngology, Head and Neck Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China. wf493649053@qq.com.
Background:
MicroRNAs (miRNAs) have been shown to play a critical role in the development and progression of nasopharyngeal carcinoma (NPC). Although accumulating studies have been performed on the molecular mechanisms of NPC, the miRNA regulatory networks in cancer progression remain largely unknown. Laser capture microdissection (LCM) and deep sequencing are powerful tools that can help us to detect the integrated view of miRNA-target network.
Methods:
Illumina Hiseq2000 deep sequencing was used to screen differentially expressed miRNAs in laser-microdessected biopsies between 12 NPC and 8 chronic nasopharyngitis patients. The result was validated by real-time PCR on 201 NPC and 25 chronic nasopharyngitis patients. The potential candidate target genes of the miRNAs were predicted using published target prediction softwares (RNAhybrid, TargetScan, Miranda, PITA), and the overlay part was analyzed in Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) biological process. The miRNA regulatory network analysis was performed using the Ingenuity Pathway Analysis (IPA) software.
Results:
Eight differentially expressed miRNAs were identified between NPC and chronic nasopharyngitis patients by deep sequencing. Further qRT-PCR assays confirmed 3 down-regulated miRNAs (miR-34c-5p, miR-375 and miR-449c-5p), 4 up-regulated miRNAs (miR-205-5p, miR-92a-3p, miR-193b-3p and miR-27a-5p). Additionally, the low level of miR-34c-5p (miR-34c) was significantly correlated with advanced TNM stage. GO and KEGG enrichment analyses showed that 914 target genes were involved in cell cycle, cytokine secretion and tumor immunology, and so on. IPA revealed that cancer was the top disease associated with those dysregulated miRNAs, and the genes regulated by miR-34c were in the center of miRNA-mRNA regulatory network, including TP53, CCND1, CDK6, MET and BCL2, and the PI3K/AKT/ mTOR signaling was regarded as a significant function pathway in this network.
Conclusion:
Our study presents the current knowledge of miRNA regulatory network in NPC with combination of bioinformatics analysis and literature research. The hypothesis of miR-34c regulatory pathway may be beneficial in guiding further studies on the molecular mechanism of NPC tumorigenesis.
Insights
This study identifies key microRNAs (miRNAs) involved in nasopharyngeal carcinoma (NPC) progression. miR-34c was found to be downregulated in advanced NPC, suggesting its potential as a therapeutic target for this cancer.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- MicroRNAs (miRNAs) are crucial in nasopharyngeal carcinoma (NPC) development and progression.
- Understanding miRNA regulatory networks is vital for elucidating NPC pathogenesis.
- Laser capture microdissection (LCM) and deep sequencing offer integrated views of miRNA-target interactions.
Purpose of the Study:
- To investigate the miRNA regulatory networks in nasopharyngeal carcinoma (NPC).
- To identify differentially expressed miRNAs between NPC and chronic nasopharyngitis.
- To explore the potential role of specific miRNAs in NPC progression and tumorigenesis.
Main Methods:
- Deep sequencing (Illumina Hiseq2000) to screen differentially expressed miRNAs in NPC biopsies.
- Real-time PCR for validation of miRNA expression.
- Bioinformatic analysis including target prediction (RNAhybrid, TargetScan, Miranda, PITA), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Ingenuity Pathway Analysis (IPA).
Main Results:
- Eight differentially expressed miRNAs were identified; 3 were downregulated (miR-34c-5p, miR-375, miR-449c-5p) and 4 upregulated (miR-205-5p, miR-92a-3p, miR-193b-3p, miR-27a-5p).
- Low miR-34c-5p levels correlated with advanced TNM stage in NPC.
- Bioinformatic analysis revealed target genes involved in cell cycle, cytokine secretion, and tumor immunology, with miR-34c regulating key genes (TP53, CCND1, CDK6, MET, BCL2) within the PI3K/AKT/mTOR pathway.
Conclusions:
- This study elucidates the miRNA regulatory network in NPC using bioinformatics and literature research.
- The identified miR-34c regulatory pathway offers a potential avenue for further investigation into NPC tumorigenesis mechanisms.
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