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Identification specific miRNA in t(4;14) multiple myeloma based on miRNA‐mRNA expressing profile correlation analysis
Author(s) -
Liu Huimin,
Wang Guihua,
Huang Ying,
Zhao Chunmei,
Chen Jing,
Wang Xudong
Publication year - 2019
Publication title -
journal of cellular biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.028
H-Index - 165
eISSN - 1097-4644
pISSN - 0730-2312
DOI - 10.1002/jcb.27537
Subject(s) - microrna , gene silencing , biology , gene , messenger rna , computational biology , multiple myeloma , gene regulatory network , gene expression , genetics , microbiology and biotechnology , immunology
Background Multiple myeloma (MM) is a common malignancy belonging to the hematological system. The translocation t(4;14)(p16.3;q32.3) is a critical cytogenetic change of MM, which is presenting a poor prognosis. The specific microRNAs (miRNAs) that are involved in t(4;14) myeloma are still unknown. Thus, the main purpose of this research was to identify specific miRNAs in t(4;14) positive myeloma. Methods The expression profiles of miRNA and messenger RNA (mRNA) in t(4; 14) positive and negative samples were obtained from the gene expression omnibus data series. The miRNA‐mRNA regulatory network was constructed based on two self‐defined regulation models. Subsequently, we performed the topology analysis for mining the hub genes, and Pearson’s correlation coefficient analysis was used to calculate the relevance of the hub genes and specific miRNAs. Results Thirteen differentially expressed miRNAs and 206 differential mRNAs were extracted between t(4;14) positive group and negative group. The network consisted of 8 miRNAs and 154 mRNAs in 2 reverse regulated models, which showed a total of 485 interactions, including 376 cis ‐regulated and 109 trans ‐regulated relationships. The miR‐125a‐3p, miR‐125a‐5p, miR‐99b‐5p, and let‐7e were powerful miRNAs correlating with the FGFR3, MAP1B, MYRIP, and CDC42BPA under the relevance analysis in the subnetwork. Conclusion In our study, a distinctive correlation analysis of miRNA‐mRNA was established to excavate specific miRNAs and hub target mRNAs in patients with t(4;14), but it was only a matter of theoretical principles. The further experimental explorations are needed to confirm valuable diagnostic and therapeutic symbols specific associated with t(4;14) in the future.