Literature DB >> 33184596

Construction and analysis of miRNA-mRNA regulatory networks in the radioresistance of nasopharyngeal carcinoma.

Houyu Zhao1, Aoshuang Chang1, Junjun Ling1,2, Wei Zhou3, Huiping Ye1, Xianlu Zhuo1.   

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. © King Abdulaziz City for Science and Technology 2020.

Entities:  

Keywords:  MicroRNA; Microarray; Nasopharyngeal carcinoma; Radioresistance; qRT-PCR

Year:  2020        PMID: 33184596      PMCID: PMC7648832          DOI: 10.1007/s13205-020-02504-x

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


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