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Use of MDLC-DIGE and LC-MS/MS to identify serum biomarkers for complete remission in patients with acute myeloid leukemia

Authors
Lee, Seung-WonKim, In JaeJeong, Bo YoonChoi, Mun-HoKim, Jin YoungKwon, Kyung-HoonLee, Jae WonYu, AmiShin, Myung-Geun
Issue Date
Jul-2012
Publisher
WILEY
Keywords
Acute myeloid leukemia; Differential gel electrophoresis (DIGE); LC-MS; MS; Multidimensional liquid chromatography (MDLC); Serum biomarker
Citation
ELECTROPHORESIS, v.33, no.12, pp.1863 - 1872
Indexed
SCIE
SCOPUS
Journal Title
ELECTROPHORESIS
Volume
33
Number
12
Start Page
1863
End Page
1872
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/108034
DOI
10.1002/elps.201200047
ISSN
0173-0835
Abstract
The response criteria for complete remission (CR) in acute myeloid leukemia (AML) are currently based on morphology and blood cell counts. However, these criteria are insufficient to establish a diagnosis in cases with poor quality bone marrow (BM) samples demonstrating a loss of cellular morphology. We investigated whether the sera of patients contained biomarkers that indicate disease response status. First, we performed multidimensional liquid chromatography-differential gel electrophoresis (MDLC-DIGE) to generate protein profiles of two pooled, paired serum samples from patients who had achieved CR; one collected at diagnosis (PreCR) and the other collected after chemotherapy (CR). Then, with the biomarker candidates found, ELISA was carried out for individual PreCR and CR samples, and for other verification sets including nonremission (NR) patients and normal samples. We selected two proteins, complement factor H (CFH) and apolipoprotein H (ApoH), with dye (Cy) ratios showing greater than 2.0-fold differences between the pooled samples. ELISA showed that CFH and ApoH are useful for distinguishing between the recovered (CR and normal) and nonrecovered (PreCR, PreNR, and NR) states in AML (p <0.001). We successfully applied a protein profiling technology of MDLC-DIGE and LC-MS/MS to discover two biomarkers for CR which needs further validation for a clinical setting.
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