Abstract:
PURPOSE:The study aims to develop a prognostic scoring system based on prognostic lncRNAs for acute myeloid leukemia (AML). METHODS:Based on lncRNA expression profiles downloaded from The Cancer Genome Atlas (TCGA), differentially expressed long noncoding RNAs (DELs) between good prognosis and bad prognosis samples were screened, from which prognosis-related lncRNAs were selected using uni-variate and multi-variate Cox regression analysis. Based on the expression profiles of these signature prognosis-related lncRNAs, a risk scoring system was developed and applied to a training set and validated on a testing set. With sample-matched mRNAs of the signature lncRNAs, lncRNA-mRNA networks were built, followed by function analysis for the mRNAs in these networks. RESULT:Total 66 DELs were identified between good prognosis and bad prognosis samples. Among these DELs, LINC01003, CTD-2234N14, RP1-137K24, and RP11-834C111 were found to be independent predictors of prognosis. A risk scoring system based on the expressions of the 4 signature lncRNAs was developed. Kaplan-Meier survival analysis found that the risk score system could classify patients into high-risk and low-risk groups with significantly different survival outcomes. Function analysis showed that the mRNAs in these lncRNA-mRNA networks were significantly linked to mTOR signaling pathway, apoptosis, Fc epsilon RI signaling pathway, B cell receptor signaling pathway, natural killer cell mediated cytotoxicity, and T cell receptor signaling pathway. CONCLUSION:This study suggested a promising 4 prognostic lncRNAs-based risk scoring system in AML. These 4 lncRNAs may play roles in regulating prognosis partly via mTOR signaling pathway, apoptosis, and some immune-related pathways.
journal_name
Leuk Resjournal_title
Leukemia researchauthors
Zeng H,Wu H,Yan M,Tang L,Guo X,Zhao Xdoi
10.1016/j.leukres.2019.106261subject
Has Abstractpub_date
2020-01-01 00:00:00pages
106261eissn
0145-2126issn
1873-5835pii
S0145-2126(19)30706-4journal_volume
88pub_type
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