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ABSTRACT: Background
Although there are many clinical and molecular biomarkers in acute myeloid leukemia (AML), the novel and reliable biomarkers are still required to predict the overall survival at the time of disease diagnosis.Methods
In order to identify independent predictors, we firstly selected 60 cytogenetically normal AML (CN-AML) patients using the propensity score analysis to balance the confounders and performed circular RNA (circRNA) sequencing. Next, one outcome related to circRNA was selected and validated in the independent cohort of 218 CN-AML patients. We then constructed circRNA-miRNA-mRNA regulated network and performed cellular metabolomic analysis to decipher the underlying biological insights.Results
We identified 308 circRNAs as independent candidate p
SUBMITTER: Wang J
PROVIDER: S-EPMC7849103 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature