Genomic mutation patterns and prognostic value in de novo and secondary acute myeloid leukemia: A multicenter study from China

Author:

Dou Xi1ORCID,Dan Chunli2,Zhang Duanzhong3,Zhou Hongjing4,He Renke5,Zhou Guangyu1,Zhu Yu1,Fu Nan6,Niu Ben6,Xu Shuangnian7,Liao Yi8,Luo Zhangqin2,Yang Lihua3,Zhang Haiguo4,Xu Yizhi5,Zhan Qian1,Chen Wei1,Yang Zesong1,Tang Xiaoqiong1,Zhang Hongbin1,Xiao Qing1,Chen Jianbin1,Liu Lin1,Wang Yi6,Pei Li7,Wang Li1ORCID

Affiliation:

1. Department of Hematology The First Affiliated Hospital of Chongqing Medical University Chongqing China

2. Department of Hematology Yongchuan Hospital of Chongqing Medical University Chongqing China

3. Department of Hematology Dazhou Central Hospital Sichuan China

4. Department of Hematology Jining No. 1 People's Hospital Shandong China

5. Department of Hematology Chongqing General Hospital Chongqing China

6. Department of Hematology Shaanxi Provincial People's Hospital Shaanxi China

7. Department of Hematology Third Military Medical University Southwest Hospital Chongqing China

8. Department of Oncology and Hematology Chongqing University Central Hospital Chongqing China

Abstract

AbstractAcute myeloid leukemia (AML) can manifest as de novo AML (dn‐AML) or secondary AML (s‐AML), with s‐AML being associated with inferior survival and distinct genomic characteristics. The underlying reasons for this disparity remain to be elucidated. In this multicenter study, next‐generation sequencing (NGS) was employed to investigate the mutational landscape of AML in 721 patients from June 2020 to May 2023.Genetic mutations were observed in 93.34% of the individuals, with complex variations (more than three gene mutations) present in 63.10% of them. TET2, ASXL1, DNMT3A, TP53 and SRSF2 mutations showed a higher prevalence among older individuals, whereas WT1 and KIT mutations were more commonly observed in younger patients. BCOR, BCORL1, ZRSR2, ASXL1 and SRSF2 exhibited higher mutation frequencies in males. Additionally, ASXL1, NRAS, PPMID, SRSF2, TP53 and U2AF1 mutations were more common in patients with s‐AML, which PPM1D was more frequently associated with therapy‐related AML (t‐AML). Advanced age and hyperleukocytosis independently served as adverse prognostic factors for both types of AML; however, s‐AML patients demonstrated a greater number of monogenic adverse prognostic factors compared to dn‐AML cases (ASXL1, PPM1D, TP53 and U2AF1 in s‐AML vs. FLT3, TP53 and U2AF1 in dn‐AML). Age and sex‐related gene mutations suggest epigenetic changes may be key in AML pathogenesis. The worse prognosis of s‐AML compared to dn‐AML could be due to the older age of s‐AML patients and more poor‐prognosis gene mutations. These findings could improve AML diagnosis and treatment by identifying potential therapeutic targets and risk stratification biomarkers.

Funder

Chongqing Municipal Education Commission

Publisher

Wiley

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