Cytogenetics at diagnosis is the most important prognostic factor for adult acute myeloid leukemia (AML), but nearly 50% of AML patients who exhibit cytogenetically normal AML (CN-AML) do not undergo effective risk stratification. Therefore, the development of potential biomarkers to further define risk stratification for CN-AML patients is worth exploring. Transcriptome data from 163 cases in the GSE12417-GPL96 dataset and 104 CN-AML patient cases in the GSE71014-GPL10558 dataset were downloaded from the Gene Expression Omnibus database for overall survival (OS) analysis and validation. The combination of Wilms tumor 1 () and cluster of diffraction 58 () can predict the prognosis of CN-AML patients. High expression of and low expression of were associated with poor OS in CN-AML. Notably, when and were used to concurrently predict OS, CN-AML patients were divided into three groups: low risk, ; intermediate risk, or ; and high risk, 8. Compared with low-risk patients, intermediate- and high-risk patients had shorter survival time and worse OS. Furthermore, a nomogram model constructed with and may personalize and reveal the 1-, 2-, 3-, 4-, and 5-year OS rate of CN-AML patients. Both time-dependent receiver operating characteristics and calibration curves suggested that the nomogram model demonstrated good performance. Higher expression of with lower expression may be a potential biomarker for risk stratification of CN-AML patients. Moreover, a nomogram model constructed with and may personalize and reveal the 1-, 2-, 3-, 4-, and 5-year OS rates of CN-AML patients.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573474PMC
http://dx.doi.org/10.1177/15330338211052152DOI Listing

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