Application of protein fingerprinting technology in diagnosing 4 types of leukemia

doi:10.3969/j.issn.1673-8640.2015.02.017

Abstract

Abstract: Objective

To establish protein fingerprinting model for the diagnosis of leukemia through determining 4 typical types of leukemia.

Methods

A total of 16 acute myeloblastic leukemia M2a samples, 18 chronic myelocytic leukemia samples, 14 acute lymphoblastic leukemia samples and 16 acute myeloblastic leukemia M3 samples were determined by protein fingerprinting technology. The comparison of biomarkers was performed by Biomarker Wizard and Biomarker Patterns 5.0 to establish a diagnosis tree model.

Results

The diagnosis tree model combined with 3 biomarkers ( m/z: 3 376, 8 055 and 9 421) could detect 75% acute myeloblastic leukemia M2a (12/16),100.0% chronic myelocytic leukemia (18/18), 71.4% acute lymphoblastic leukemia (10/14) and 87.5% acute myeloblastic leukemia M3 (12/14).

Conclusions

The protein fingerprinting model established by 3 protein features maybe a novel method for diagnosing 4 types of leukemia.

Key words: Leukemia, Typing, Protein fingerprinting technology

CLC Number:

R446.11

HUANG Hua, CHEN Linxing, LIN Meice, HUANG Jingyu.. Application of protein fingerprinting technology in diagnosing 4 types of leukemia[J]. Laboratory Medicine, 2015, 30(2): 173-176.

Figures/Tables 3

References 13

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分组	例数	准确率	0组 (16例)	1组 (18例)	2组 (14例)	3组 (16例)
0组	16	75.000	12	0	4	0
1组	18	100.000	0	18	0	0
2组	14	71.429	2	0	10	2
3组	16	87.500	2	0	0	14

分组	例数	准确率	0组 (16例)	1组 (18例)	2组 (14例)	3组 (16例)
0组	16	75.000	12	0	4	0
1组	18	100.000	0	18	0	0
2组	14	71.429	2	0	10	2
3组	16	87.500	2	0	0	14

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