Investigation of Biomarkers Associated with Low Platelet Counts in Normal Karyotype Acute Myeloid Leukemiaopen access
- Authors
- Park, Chang-Hun; Yun, Jae Won
- Issue Date
- Jul-2022
- Publisher
- MDPI
- Keywords
- acute leukemia; RNA sequencing; TCGA; platelets; thrombocytopenia
- Citation
- INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, v.23, no.14
- Indexed
- SCIE
SCOPUS
- Journal Title
- INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Volume
- 23
- Number
- 14
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/98637
- DOI
- 10.3390/ijms23147772
- ISSN
- 1661-6596
1422-0067
- Abstract
- Acute myeloid leukemia (AML) patients are at risk of bleeding due to disease-related lack of platelets and systemic coagulopathy. Platelets play a role in hemostasis. Leukemic blasts have been shown to alter platelet activation in vitro. Here we investigated biomarkers associated with thrombocytopenia in normal karyotype AML (NK-AML). From The Cancer Genome Atlas database, case-control study was performed between normal karyotype (NK) platelet-decreased AML (PD-AML, platelet count < 100 x 10(9) /L, n = 24) and NK platelet-not-decreased AML (PND-AML, with platelet count >= 100 x 10(9) /L, n = 13). Differentially expressed gene analysis, pathway analysis and modelling for predicting platelet decrease in AML were performed. DEG analysis and pathway analysis revealed 157 genes and eight pathways specific for PD-AML, respectively. Most of the eight pathways were significantly involved in G-protein-coupled receptor-related pathway, cytokine-related pathway, and bone remodeling pathway. Among the key genes involved in at least one pathway, three genes including CSF1R, TNFSF15 and CLEC10A were selected as promising biomarkers for predicting PD-AML (0.847 of AUC in support vector machine model). This is the first study that identified biomarkers using RNA expression data analysis and could help understand the pathophysiology in AML with low platelet count.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Medicine > Department of Medicine > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.