Huimin Liu1,2, Guihua Wang1,2, Ying Huang1,2, Chunmei Zhao1,2, Jing Chen1,2, Xudong Wang1,2,3. 1. Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China. 2. Medical School of Medicine, Nantong University, Nantong, Jiangsu, China. 3. Clinical Biobank, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Abstract
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.
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.