Technology in Cancer Research & Treatment (Nov 2021)

Higher Expression of With Lower Expression may be Biomarkers for Risk Stratification of Patients With Cytogenetically Normal Acute Myeloid Leukemia

  • Cunte Chen MD,
  • Zhuowen Chen MD,
  • Chi Leong Chio MD,
  • Ying Zhao MD,
  • Yongsheng Li MM,
  • Zhipeng Liu MM,
  • Zhenyi Jin MD,
  • Xiuli Wu MD,
  • Wei Wei PhD,
  • Qi Zhao PhD,
  • Yangqiu Li MD

DOI
https://doi.org/10.1177/15330338211052152
Journal volume & issue
Vol. 20

Abstract

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Background: 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. Methods: 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. Results: The combination of Wilms tumor 1 ( WT1 ) and cluster of diffraction 58 ( CD58 ) can predict the prognosis of CN-AML patients. High expression of WT1 and low expression of CD58 were associated with poor OS in CN-AML. Notably, when WT1 and CD58 were used to concurrently predict OS, CN-AML patients were divided into three groups: low risk, WT1 low CD58 high ; intermediate risk, WT1 high CD58 high or WT1 low CD58 low ; and high risk, WT1 high CD5 8 low . Compared with low-risk patients, intermediate- and high-risk patients had shorter survival time and worse OS. Furthermore, a nomogram model constructed with WT1 and CD58 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. Conclusion: Higher expression of WT1 with lower CD58 expression may be a potential biomarker for risk stratification of CN-AML patients. Moreover, a nomogram model constructed with WT1 and CD58 may personalize and reveal the 1-, 2-, 3-, 4-, and 5-year OS rates of CN-AML patients.