Cancer Biomarkers · 2020 · 26 citations · 18 references
Life SciencesMolecular BiologyOncologyGene ExpressionMolecular OncologyTranscriptomicsCancer BiomarkersCancer CytogeneticsCancer TranscriptomicsMicrorna BiologyMolecular Tumor ProfilingCox RegressionMicrorna BiomarkersMicrorna Expression ProfilingMicrorna ProfilingMicrorna Prognostic MarkersMolecular Prognostic MarkersPrognostic Expression SignaturesPrognostic Prediction
BACKGROUND: The interest in plasma biomarkers has increased recently. Plasma exosome-derived microRNA-532 is aberrantly expressed in a variety of human cancers and has the prognostic value in many solid tumors. However, the prognostic impact of the expression value on AML remains unclear. OBJECTIVE: The aim of this study is to investigate the prognostic value of exosome-derived microRNA-532 in AML patients. METHODS: We performed the real-time PCR to quantify exosome-derived microRNA-532 in plasma of 198 AML patients. To assess the prognostic value, we performed Cox regression analyses in the context of well-established clinical and molecular markers. Cellular metabolic profile was conducted to help us understand the biological insight of its expression. RESULTS: The expression level was not associated with white blood cell counts, age, FAB subtypes, cytogenetic risk groups and genes of FLT3-ITD, NPM1, CEBPA and DNMT3A mutations. Interestingly, high expressers had a favorable overall survival in the univariate analysis. This prognostic value was testified in the multivariate analysis. Moreover, up-regulation of miR-532 was negatively associated with cellular energy like fructose and glutamine. CONCLUSION: We found plasma exosome-derived microRNA-532 can be used as a novel survival predictor for acute myeloid leukemia.
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MicroRNA Expression in Cytogenetically Normal Acute Myeloid Leukemia
Guido Marcucci, Michael D. Radmacher, Kati Maharry et al. · New England Journal of Medicine · 2008 · 439 citations · Full text
Life Sciences, Hematology, Oncology +14
Margaret R. O'Donnell, Camille N. Abboud, Jessica K. Altman et al. · Journal of the National Comprehensive Cancer Network · 2012 · 326 citations · Full text
A distinct glucose metabolism signature of acute myeloid leukemia with prognostic value
Wen‐Lian Chen, Jinghan Wang, Aihua Zhao et al. · Blood · 2014 · 307 citations · Full text
Medicine, Hematology, Oncology +16