{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["121(10)"],"submitter":["Li JF"],"pubmed_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 <i>HOXA</i>/<i>B</i>, 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."],"journal":["Proceedings of the National Academy of Sciences of the United States of America"],"pagination":["e2319366121"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10927507"],"repository":["biostudies-literature"],"pubmed_title":["Aging and comprehensive molecular profiling in acute myeloid leukemia."],"pmcid":["PMC10927507"],"pubmed_authors":["Li JF","Zhang F","Fang H","Yi X","Wang SY","Jiang L","Weng XQ","Wu HY","Wang K","Wu DP","Zhang YL","Chen Z","Ren RB","Shen Y","Zhu HM","Jin J","Chen XJ","Dai YT","Yin W","Ren JQ","Sun XJ","Cheng WY","Wen LJ","Lin XJ","Zhang JN","Zhu YM","Chen SJ","Yan XY","Lv G","Chen SN","Tan Y","Qiao N"],"additional_accession":[]},"is_claimable":false,"name":"Aging and comprehensive molecular profiling in acute myeloid leukemia.","description":"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 <i>HOXA</i>/<i>B</i>, 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.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Mar","modification":"2025-04-22T14:48:54.806Z","creation":"2025-04-06T01:07:55.373Z"},"accession":"S-EPMC10927507","cross_references":{"pubmed":["38422020"],"doi":["10.1073/pnas.2319366121"]}}