Focusing on long non-coding RNA dysregulation in newly diagnosed multiple myeloma

Abstract

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-AS1and RP11-175D17.3wereassociated 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.

Keywords: Bone marrow; Gene ontology; Long non-coding RNA expression profiles; Multiple myeloma.