AUTHOR=Zhou Sijie , Fang Jiuyuan , Sun Yan , Li Huixiang 

TITLE=Integrated Analysis of a Risk Score System Predicting Prognosis and a ceRNA Network for Differentially Expressed lncRNAs in Multiple Myeloma

JOURNAL=Frontiers in Genetics

VOLUME=Volume 11 - 2020

YEAR=2020

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2020.00934

DOI=10.3389/fgene.2020.00934

ISSN=1664-8021

ABSTRACT=Long non-coding RNAs (lncRNAs) are non-protein-coding RNAs longer than 200 nucleotides. Accumulating evidence demonstrate that lncRNA are potential biomarkers for cancer diagnosis and prognosis. However, there are no prognostic biomarkers and lncRNA models for multiple myeloma (MM). Hence, it is necessary to screen novel lncRNA that can potentially participate in the initiation and progression of MM and consequently construct a risk score system for the disease. Raw microarray datasets were obtained from the Gene Expression Omnibus (GEO) website. Weighted gene co-expression network analysis (WGCNA) and Principal Component Analysis (PCA) identified 12 lncRNAs of interest. Then, univariate, least absolute shrinkage and selection operator cox (LASSO Cox) regression, and multivariate cox hazard regression analysis identified two lncRNAs (LINC00996 and LINC00525) that were formulated to construct a risk score system to predict survival. ROC analysis certificated the superior performance in predicting 3-year overall survival (AUC=0.829). The similar prognostic values of the two-lncRNA signature were also observed in the tested TCGA dataset. Furthermore, two other lncRNAs (LINC00324 and LINC01128) were differentially expressed between CD138+ plasma cells from normal donors and MM patients and were verified to be associated with cancer stage in the GEO dataset. A lncRNA-mediated competing endogenous RNA (ceRNA) network including two lncRNAs, 12 miRNAs, and 103 target mRNAs was constructed. In conclusion, we developed a two-lncRNA expression signature to predict the prognosis of MM and constructed a key lncRNA based ceRNA network in MM. These lncRNAs were associated with survival and are probably involved in the occurrence and progression of MM.