A Proteomic Approach to Understand the Clinical Significance of Acute Myeloid Leukemia-Derived Extracellular Vesicles Reflecting Essential Characteristics of Leukemia
- Authors
- Kang, Ka-Won; Kim, Hyoseon; Hur, Woojune; Jung, Jik-han; Jeong, Su Jin; Shin, Hyunku; Seo, Dongkwon; Jeong, Hyesun; Choi, ByeongHyeon; Hong, Sunghoi; Kim, Hyun Koo; Choi, Yeonho; Park, Ji-ho; Lee, Kil Yeon; Kim, Kwang Pyo; Park, Yong
- Issue Date
- 2021
- Publisher
- AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC
- Citation
- MOLECULAR & CELLULAR PROTEOMICS, v.20
- Indexed
- SCIE
SCOPUS
- Journal Title
- MOLECULAR & CELLULAR PROTEOMICS
- Volume
- 20
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/130177
- DOI
- 10.1074/mcp.RA120.002169
- ISSN
- 1535-9476
- Abstract
- Extracellular vesicle (EV) proteins from acute myeloid leukemia (AML) cell lines were analyzed using mass spectrometry. The analyses identified 2450 proteins, including 461 differentially expressed proteins (290 upregulated and 171 downregulated). CD53 and CD47 were upregulated and were selected as candidate biomarkers. The association between survival of patients with AML and the expression levels of CD53 and CD47 at diagnosis was analyzed using mRNA expression data from The Cancer Genome Atlas database. Patients with higher expression levels showed significantly inferior survival than those with lower expression levels. ELISA results of the expression levels of CD53 and CD47 fromEVs in the bonemarrowof patientswith AML at diagnosis and at the time of complete remission with induction chemotherapy revealed that patients with down-regulated CD53 and CD47 expression appeared to relapse less frequently. Network model analysis of EV proteins revealed several upregulated kinases, including LYN, CSNK2A1, SYK, CSK, and PTK2B. The potential cytotoxicity of several clinically applicable drugs that inhibit these kinases was tested in AML cell lines. The drugs lowered the viability of AML cells. The collective data suggest that AML cell-derived EVs could reflect essential leukemia biology.
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