2006Unpublished venueRequires access

Screening of serum biomarkers in acute myeloid leukemia by SELDI technique: a preliminary study

Jun Zhang, Hui-Fang Wang, Jianzhong Zhang, Yi-Gai Ma, Jianwen Wang

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Abstract

Objective: acute myeloid leukemia is one of the diseases with higher mortality.New technologies for the study of acute myeloid leukemia proteomic are urgently needed.The aim of this study was to screen serum biomarkers in patients with acute myeloid leukemia by using surface-enhanced laser desorption and ionization time-of-flight mass spectrometry(SELDI-TOFMS) technique.Methods: Proteomic spectra were generated by mass spectrometry in 87 cases,including 30 cases of acute myeloid leukemia that had been pathologically confirmed with 5 to 78 years,and 57 cases of healthy control aged 5 to 75 years.87 spectra obtained were used to train and develop a decision tree classification algorithm.Results:A total of 8 distinguished proteomic peaks were detected,7 peaks were used to build a proteomic pattern.The results yielded a sensitivity of 86.7%(26/30)、specificity of 96.5%(55/57).Conclusion:SELDI-TOF-MS offers a unique platform for the proteomic detection of acute myeloid leukemia.It also offers a noninvasive method to further study the proteomic changes in the development and progression of leukemia.

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What this paper is about

Objective: acute myeloid leukemia is one of the diseases with higher mortality.New technologies for the study of acute myeloid leukemia proteomic are urgently needed.The aim of this study was to screen serum biomarkers in patients with acute myeloid leukemia by using surface-enhanced laser desorption and ionization time-of-flight mass spectrometry(SELDI-TOFMS) technique.Methods: Proteomic spectra were generated by mass spectrometry in 87 cases,including 30 cases of acute myeloid leukemia that had been pathologically confirmed with 5 to 78 years,and 57 cases of healthy control aged 5 to 75 years.87 spectra obtained were used to train and develop a decision tree classification algorithm.Results:A total of 8 distinguished proteomic peaks were detected,7 peaks were used to build a proteomic pattern.The results yielded a sensitivity of 86.7%(26/30)、specificity of 96.5%(55/57).Conclusion:SELDI-TOF-MS offers a unique platform for the proteomic detection of acute myeloid leukemia.It also offers a noninvasive method to further study the proteomic changes in the development and progression of leukemia.

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Available abstract

Objective: acute myeloid leukemia is one of the diseases with higher mortality.New technologies for the study of acute myeloid leukemia proteomic are urgently needed.The aim of this study was to screen serum biomarkers in patients with acute myeloid leukemia by using surface-enhanced laser desorption and ionization time-of-flight mass spectrometry(SELDI-TOFMS) technique.Methods: Proteomic spectra were generated by mass spectrometry in 87 cases,including 30 cases of acute myeloid leukemia that had been pathologically confirmed with 5 to 78 years,and 57 cases of healthy control aged 5 to 75 years.87 spectra obtained were used to train and develop a decision tree classification algorithm.Results:A total of 8 distinguished proteomic peaks were detected,7 peaks were used to build a proteomic pattern.The results yielded a sensitivity of 86.7%(26/30)、specificity of 96.5%(55/57).Conclusion:SELDI-TOF-MS offers a unique platform for the proteomic detection of acute myeloid leukemia.It also offers a noninvasive method to further study the proteomic changes in the development and progression of leukemia.

Key concepts: Myeloid leukemia, Medicine, Leukemia, Myeloid, Acute leukemia, Mass spectrometry, Oncology, Internal medicine

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