Prognostic value and potential mechanism of long non-coding RNA Lnc-SMIM20-1 in acute myeloid leukemia
Sha Liu, Ziyi Sun, Mengyuan Zhu, Minling Liu, Min Wei, Xiaofen Pan, Shan Huang
Abstract
OBJECTIVES: Acute myeloid leukemia (AML) is a common hematologic malignancy with high heterogeneity and poor prognosis. Although long non-coding RNAs (lncRNAs) have been used as biomarkers for tumors, the clinical relevance of numerous lncRNAs in AML remains to be investigated. RESEARCH DESIGN AND METHODS: Differentially expressed lncRNAs between AML and normal peripheral blood samples were identified using DESeq2. Pan-cancer analysis was performed by GEPIA tool. Kaplan-Meier survival curve was applied for prognosis analysis. KEGG pathway analysis and GSEA were used for functional enrichment. The ceRNA network was constructed by GDCRNAtools. RESULTS: Lnc-SMIM20-1 was most highly expressed in AML and up-regulated in the TCGA-AML cohort compared to normal tissues. Patients with high expression of Lnc-SMIM20-1 had poor overall prognosis both in the TCGA adult AML cohort and the TARGET pediatric AML cohort, no matter whether they were treated with chemotherapy or allo-HSCT. Lnc-SMIM20-1 might participate in cancer-associated signaling pathways and immune-related signaling pathways by interacting with four microRNAs and 20 mRNAs. CONCLUSION: Lnc-SMIM20-1 was up-regulated in AML acting as a stable poor prognostic factor. The prognostic impact of Lnc-SMIM20-1 cannot be overcome by allo-HSCT. Our findings provide insight into the clinical relevance of Lnc-SMIM20-1 in AML; aiming to progress the development of novel therapeutics.