期刊论文详细信息
LIFE SCIENCES 卷:196
Focusing on long non-coding RNA dysregulation in newly diagnosed multiple myeloma
Article
Shen, Ying1  Feng, Yuandong1  Chen, Hongli1  Huang, Lingjuan2  Wang, Fangxia1  Bai, Ju1  Yang, Yun1  Wang, Jianli1  Zhao, Wanhong1  Jia, Yachun1  Peng, Yan1  Lei, Xiaoru3  He, Aili1 
[1] Xi An Jiao Tong Univ, Affiliated Hosp 2, Dept Hematol, 157,5th West Rd, Xian 710004, Shaanxi, Peoples R China
[2] Xian Med Univ, Affiliated Hosp 1, Dept Geriatr, Xian, Shaanxi, Peoples R China
[3] Xian Cent Hosp, Inst Hematol, Xian, Shaanxi, Peoples R China
关键词: Multiple myeloma;    Long non-coding RNA expression profiles;    Gene ontology;    Bone marrow;   
DOI  :  10.1016/j.lfs.2018.01.025
来源: Elsevier
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【 摘 要 】

Aims: Multiple myeloma (MM) is an incurable hematological cancer with a higher rate of relapse. Alterations in the function of long non-coding RNAs (lncRNAs) promote the progression and metastasis of cancer. We carry out this study to explore the expression profile of differently expressed lncRNAs in newly diagnosed MM. Main methods: The Bone marrows we analyzed were obtained from five MM and five IDA patients (serving as controls). Arraystar Human LncRNA Array V4.0 was used to profile expression of lncRNAs and mRNAs. Gene ontology (GO) and pathway analysis were utilized to understand the biological roles of differently expressed genes, while Database for Annotation, Visualization and Integrated Discovery (DAVID) was used for constructing the lncRNA-mRNA co-expression network. Quantitative polymerase chain reaction (qRT-PCR) was performed to confirm the expressions of dysregulated lncRNAs. Key findings: Bioinformatic analysis of the lncRNA expression identified > 3000 dysregulated lncRNAs (difference >= 2-fold) in MM samples. GO and pathway analysis revealed that ECM-receptor and cell cycle pathway-related genes were significantly associated with MM. Four dysregulated lncRNAs were confirmed by qRT-PCR. Among them, the expression of ST3GAL6-AS1, LAMA5-AS1 and RP11-175D17.3 were associated with stage and risk status of MM. On the basis of GEO public database analysis, LAMA5-AS1 was related with an overall survival rate of MM patients. Significance: These results reveal the feasible functions of lncRNAs in pathogenesis of MM. Further studies are required to explore whether these lncRNAs could serve as candidate therapeutic targets and new molecular biomarkers for MM.

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