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Identification of long noncoding RNA as a key gene involved in the extramedullary disease of multiple myeloma by bioinformatics analysis. | LitMetric

Identification of long noncoding RNA as a key gene involved in the extramedullary disease of multiple myeloma by bioinformatics analysis.

Hematology

Department of Hematology, Key Laboratory of Hematology of Nanjing Medical University, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People's Republic of China.

Published: December 2023

Objective: Long non-coding RNAs (lncRNAs) are involved in tumorigenesis and play a key role in cancer progression. To determine whether lncRNAs are involved in extramedullary disease of multiple myeloma (EMD), we analyzed the expression profile of lncRNAs in EMD.

Methods: Three pairs of EMD patients and their intramedullary MM cells were screened by microarray first. We extracted data from gene chips and made an identification of lncRNAs and mRNAs with significant differences between EMD group and non EMD group. WGCNA confirmed the EMD related gene module and drew a heat map to further determine the key gene lncRNA-NEAT1. In the meantime, bone marrow and extramedullary samples (hydrothorax and ascites) were collected from 2 MM patients and subjected to single-cell RNA-seq. Single cell Transcriptome analysis was conducted to verify the gene expression difference of malignant plasma cells derived from intramedullary and extramedullary. Then we verified high expression level of lncRNA-NEAT1 in EMD patients by using quantitative real-time PCR (qRT-PCR) and analyzed the correlation between expression patterns and survival and molecular genetics analysis of the LncRNA (NEAT1) involved in MM patients. At last, cell experiments were conducted to observe the effects of down-regulation of NEAT1on the proliferation, cell cycle and PTEN pathway related proteins of multiple myeloma cell lines U266 and RPMI8226.

Results: We identified one of the EMD related key gene is lncRNA-NEAT1. Compared with patients without extramedullary lesions, intramedullary MM cells in EMD patients expressed NEAT1 highly. The outcome of parallel single-cell RNA sequencing (RNA-seq) revealed NEAT1 level of plasma cells came from pleural effusion /ascites increased significantly compared with myeloma-stricken bone marrow. By survival and molecular genetic analysis, NEAT1 gene expression was not associated with OS and PFS in MM patients. However, the expression of NEAT1 is related to adverse therapeutic reactions and the progression of MM. We found that the expressions of NEAT1 were negatively associated with albumin levels and were positively associated with gain of chromosome 1q, IGH-CCND1, IGH@-FGFR3/WHSC1,and IGH-MAF gene fusion, respectively. At the level of cell experiment, CCK-8, soft agar clone formation experiment and CFSE staining showed that down regulating NEAT1 could inhibit the proliferation of U266 and RPMI8226 cells; Cell cycle detection showed that down-regulation of NEAT1 would interfere with the cell cycle process, and RPMI 8226 cells were blocked in G1 phase. Western blot analysis showed that when the expression of NEAT1 was down regulated in U266 and RPMI 8226 cells, the expression of PTEN and p-PTEN (phosphorylated phosphatase and tensin homologue) was up-regulated, and the expression of PI3K, p-PI3K (human phosphorylated inositol 3 kinase), Akt, p-Akt (phosphorylated protein kinase B).

Discuccion And Conclusion: This study provides novel insights into the lncRNA-NEAT1 and reveals that NEAT1 maybe a potential lncRNA biomarkers in EMD.

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Source
http://dx.doi.org/10.1080/16078454.2022.2164449DOI Listing

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