ArticleScientific reports2019
Multi-study reanalysis of 2,213 acute myeloid leukemia patients reveals age- and sex-dependent gene expression signatures.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Extramedullary relapse of acute myeloid leukemia presenting as an epidural spinal mass with vertebral and acetabular leukemic involvement: A case report.Radiology case reports · 2026Article
- Network-based multi-class classifier to identify optimized gene networks for acute leukemia cell line classification.PloS one · 2025Article
- Diagnosis of acute myeloid leukaemia on microarray gene expression data using categorical gradient boosted trees.Heliyon · 2023Article
- TAK-981, a SUMOylation inhibitor, suppresses AML growth immune-independently.Blood advances · 2023Article
- Utilization of Genomic Tumor Profiling in Pediatric Liquid Tumors: A Clinical Series.Hematology reports · 2023Article
- Evaluation of the Stellae-123 prognostic gene expression signature in acute myeloid leukemia.Frontiers in oncology · 2022Article
- Causal Discovery in High-dimensional, Multicollinear Datasets.Frontiers in epidemiology · 2022Article
- miR-370 is better than miR-375 as a non-invasive diagnostic biomarker for pediatric acute myeloid leukemia patients.Cancer biomarkers : section A of Disease markers · 2022Article
- Article
- A deconvolution method and its application in analyzing the cellular fractions in acute myeloid leukemia samples.BMC genomics · 2020Article
- Deep Transcriptome Sequencing of Pediatric Acute Myeloid Leukemia Patients at Diagnosis, Remission and Relapse: Experience in 3 Malaysian Children in a Single Center Study.Frontiers in genetics · 2020Article
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2 authors.
Funding
Abstract
In 2019 it is estimated that more than 21,000 new acute myeloid leukemia (AML) patients will be diagnosed in the United States, and nearly 11,000 are expected to die from the disease. AML is primarily diagnosed among the elderly (median 68 years old at diagnosis). Prognoses have significantly improved for younger patients, but as much as 70% of patients over 60 years old will die within a year of diagnosis. In this study, we conducted a reanalysis of 2,213 acute myeloid leukemia patients compared to 548 healthy individuals, using curated publicly available microarray gene expression data. We carried out an analysis of normalized batch corrected data, using a linear model that included considerations for disease, age, sex, and tissue. We identified 974 differentially expressed probe sets and 4 significant pathways associated with AML. Additionally, we identified 375 age- and 70 sex-related probe set expression signatures relevant to AML. Finally, we trained a k nearest neighbors model to classify AML and healthy subjects with 90.9% accuracy. Our findings provide a new reanalysis of public datasets, that enabled the identification of new gene sets relevant to AML that can potentially be used in future experiments and possible stratified disease diagnostics.
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