Aging and comprehensive molecular profiling in acute myeloid leukemia

Author:

Li Jian-Feng1ORCID,Cheng Wen-Yan1,Lin Xiang-Jie23ORCID,Wen Li-Jun45,Wang Kai6ORCID,Zhu Yong-Mei1,Zhu Hong-Ming1ORCID,Chen Xin-Jie1,Zhang Yu-Liang1,Yin Wei1,Zhang Jia-Nan1,Yi Xiao1,Zhang Fan1,Weng Xiang-Qin1,Wang Sheng-Yue1ORCID,Jiang Lu1,Wu Hui-Yi1,Ren Jia-Qi1,Lin Xiao-Jing1,Qiao Niu1,Dai Yu-Ting1ORCID,Fang Hai1ORCID,Tan Yun1,Sun Xiao-Jian1ORCID,Lv Gang1,Yan Xiao-Yu1,Chen Su-Ning45,Chen Zhu1ORCID,Jin Jie237,Wu De-Pei45ORCID,Ren Rui-Bao16,Chen Sai-Juan1ORCID,Shen Yang1

Affiliation:

1. Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China

2. Department of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, Hangzhou, Zhejiang 310003, China

3. Key Laboratory of Hematologic Malignancies, Diagnosis and Treatment, Hangzhou, Zhejiang 310003, China

4. National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China

5. Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China

6. International Center for Aging and Cancer, Department of Hematology of The First Affiliated Hospital, Hainan Medical University, Haikou 571199, China

7. Zhejiang University Cancer Center, Hangzhou, Zhejiang 310003, China

Abstract

Acute myeloid leukemia (AML) is an aging-related and heterogeneous hematopoietic malignancy. In this study, a total of 1,474 newly diagnosed AML patients with RNA sequencing data were enrolled, and targeted or whole exome sequencing data were obtained in 94% cases. The correlation of aging-related factors including age and clonal hematopoiesis (CH), gender, and genomic/transcriptomic profiles (gene fusions, genetic mutations, and gene expression networks or pathways) was systematically analyzed. Overall, AML patients aged 60 y and older showed an apparently dismal prognosis. Alongside age, the frequency of gene fusions defined in the World Health Organization classification decreased, while the positive rate of gene mutations, especially CH-related ones, increased. Additionally, the number of genetic mutations was higher in gene fusion–negative (GF-) patients than those with GF. Based on the status of CH- and myelodysplastic syndromes (MDS)-related mutations, three mutant subgroups were identified among the GF- AML cohort, namely, CH-AML, CH-MDS-AML, and other GF- AML. Notably, CH-MDS-AML demonstrated a predominance of elderly and male cases, cytopenia, and significantly adverse clinical outcomes. Besides, gene expression networks including HOXA / B , platelet factors, and inflammatory responses were most striking features associated with aging and poor prognosis in AML. Our work has thus unraveled the intricate regulatory circuitry of interactions among different age, gender, and molecular groups of AML.

Publisher

Proceedings of the National Academy of Sciences

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