BackgroundLong noncoding RNAs (lncRNAs) may function as prognostic biomarkers in acute myeloid leukaemia (AML). However, it is still unknown exactly how significant lncRNAs are for the prognosis of AML. With a focus on their prognostic and therapeutic potential, the study aimed to provide a comprehensive review of the literature regarding the role of lncRNAs in AML. MethodPub Med, The Cochrane Library, Embase, Science Direct, Web of science, Scopus, and Google scholar were searched until November, 2023. Original publications of any type exploring the prognostic and therapeutic potential of lncRNAs in AML patients were included. Heterogeneity and publication bias were examined using the I2 test and a funnel plot, respectively. To quantify the relationship between various lncRNA expression in AML patient survival, odds ratios (ORs) or hazards ratios (HRs) with 95 % confidence intervals (CIs) were pooled. Quality of studies was assessed using the Critical Appraisal Checklists for Studies created by the Joanna Briggs Institute (JBI). ResultsTwenty-seven studies including 5665 subjects were selected for the final analysis. In patients with AML, abnormal lncRNA expression has been associated with significant worse overall survival (pooled HR = 2.05, 95 % CI = 1.79–2.30, P <0.001), shorter disease-free survival (pooled HR = 2.17, 95 % CI = 1.13–3.22, P< 0.001), and lower complete remission rate (pooled HR = 0.27, 95 % CI = 0.11–0.43, P< 0.001). Poor prognoses have been attributed to increased expression of HOX transcript antisense intergenic RNA (HOTAIR), Promoter Of CDKN1A Antisense DNA Damage Activated RNA (PANDAR), Metastasis Associated Lung Adenocarcinoma Transcript 1 (MALAT1), RP11–222K16.2, Taurine Upregulated Gene 1 (TUG1), Small Nucleolar RNA Host Gene 5 (SNHG5), Growth Arrest Specific 5 (GAS5), and H19 and decreased expression of IGF1R Antisense Imprinted Non-Protein Coding RNA (IRAIN). ConclusionThe prognoses of AML patients are significantly associated with abnormally expressed lncRNAs, which may be used as prognostic indicators for predicting the patient outcomes.
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