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Discovery and identification of potential biomarkers of pediatric Acute Lymphoblastic Leukemia

BACKGROUND: Acute lymphoblastic leukemia (ALL) is a common form of cancer in children. Currently, bone marrow biopsy is used for diagnosis. Noninvasive biomarkers for the early diagnosis of pediatric ALL are urgently needed. The aim of this study was to discover potential protein biomarkers for pedi...

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Autores principales: Shi, Linan, Zhang, Jun, Wu, Peng, Feng, Kai, Li, Jing, Xie, Zhensheng, Xue, Peng, Cai, Tanxi, Cui, Ziyou, Chen, Xiulan, Hou, Junjie, Zhang, Jianzhong, Yang, Fuquan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2662805/
https://www.ncbi.nlm.nih.gov/pubmed/19291297
http://dx.doi.org/10.1186/1477-5956-7-7
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author Shi, Linan
Zhang, Jun
Wu, Peng
Feng, Kai
Li, Jing
Xie, Zhensheng
Xue, Peng
Cai, Tanxi
Cui, Ziyou
Chen, Xiulan
Hou, Junjie
Zhang, Jianzhong
Yang, Fuquan
author_facet Shi, Linan
Zhang, Jun
Wu, Peng
Feng, Kai
Li, Jing
Xie, Zhensheng
Xue, Peng
Cai, Tanxi
Cui, Ziyou
Chen, Xiulan
Hou, Junjie
Zhang, Jianzhong
Yang, Fuquan
author_sort Shi, Linan
collection PubMed
description BACKGROUND: Acute lymphoblastic leukemia (ALL) is a common form of cancer in children. Currently, bone marrow biopsy is used for diagnosis. Noninvasive biomarkers for the early diagnosis of pediatric ALL are urgently needed. The aim of this study was to discover potential protein biomarkers for pediatric ALL. METHODS: Ninety-four pediatric ALL patients and 84 controls were randomly divided into a "training" set (45 ALL patients, 34 healthy controls) and a test set (49 ALL patients, 30 healthy controls and 30 pediatric acute myeloid leukemia (AML) patients). Serum proteomic profiles were measured using surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy (SELDI-TOF-MS). A classification model was established by Biomarker Pattern Software (BPS). Candidate protein biomarkers were purified by HPLC, identified by LC-MS/MS and validated using ProteinChip immunoassays. RESULTS: A total of 7 protein peaks (9290 m/z, 7769 m/z, 15110 m/z, 7564 m/z, 4469 m/z, 8937 m/z, 8137 m/z) were found with differential expression levels in the sera of pediatric ALL patients and controls using SELDI-TOF-MS and then analyzed by BPS to construct a classification model in the "training" set. The sensitivity and specificity of the model were found to be 91.8%, and 90.0%, respectively, in the test set. Two candidate protein peaks (7769 and 9290 m/z) were found to be down-regulated in ALL patients, where these were identified as platelet factor 4 (PF4) and pro-platelet basic protein precursor (PBP). Two other candidate protein peaks (8137 and 8937 m/z) were found up-regulated in the sera of ALL patients, and these were identified as fragments of the complement component 3a (C3a). CONCLUSION: Platelet factor (PF4), connective tissue activating peptide III (CTAP-III) and two fragments of C3a may be potential protein biomarkers of pediatric ALL and used to distinguish pediatric ALL patients from healthy controls and pediatric AML patients. Further studies with additional populations or using pre-diagnostic sera are needed to confirm the importance of these findings as diagnostic markers of pediatric ALL.
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spelling pubmed-26628052009-03-31 Discovery and identification of potential biomarkers of pediatric Acute Lymphoblastic Leukemia Shi, Linan Zhang, Jun Wu, Peng Feng, Kai Li, Jing Xie, Zhensheng Xue, Peng Cai, Tanxi Cui, Ziyou Chen, Xiulan Hou, Junjie Zhang, Jianzhong Yang, Fuquan Proteome Sci Research BACKGROUND: Acute lymphoblastic leukemia (ALL) is a common form of cancer in children. Currently, bone marrow biopsy is used for diagnosis. Noninvasive biomarkers for the early diagnosis of pediatric ALL are urgently needed. The aim of this study was to discover potential protein biomarkers for pediatric ALL. METHODS: Ninety-four pediatric ALL patients and 84 controls were randomly divided into a "training" set (45 ALL patients, 34 healthy controls) and a test set (49 ALL patients, 30 healthy controls and 30 pediatric acute myeloid leukemia (AML) patients). Serum proteomic profiles were measured using surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy (SELDI-TOF-MS). A classification model was established by Biomarker Pattern Software (BPS). Candidate protein biomarkers were purified by HPLC, identified by LC-MS/MS and validated using ProteinChip immunoassays. RESULTS: A total of 7 protein peaks (9290 m/z, 7769 m/z, 15110 m/z, 7564 m/z, 4469 m/z, 8937 m/z, 8137 m/z) were found with differential expression levels in the sera of pediatric ALL patients and controls using SELDI-TOF-MS and then analyzed by BPS to construct a classification model in the "training" set. The sensitivity and specificity of the model were found to be 91.8%, and 90.0%, respectively, in the test set. Two candidate protein peaks (7769 and 9290 m/z) were found to be down-regulated in ALL patients, where these were identified as platelet factor 4 (PF4) and pro-platelet basic protein precursor (PBP). Two other candidate protein peaks (8137 and 8937 m/z) were found up-regulated in the sera of ALL patients, and these were identified as fragments of the complement component 3a (C3a). CONCLUSION: Platelet factor (PF4), connective tissue activating peptide III (CTAP-III) and two fragments of C3a may be potential protein biomarkers of pediatric ALL and used to distinguish pediatric ALL patients from healthy controls and pediatric AML patients. Further studies with additional populations or using pre-diagnostic sera are needed to confirm the importance of these findings as diagnostic markers of pediatric ALL. BioMed Central 2009-03-16 /pmc/articles/PMC2662805/ /pubmed/19291297 http://dx.doi.org/10.1186/1477-5956-7-7 Text en Copyright © 2009 Shi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Shi, Linan
Zhang, Jun
Wu, Peng
Feng, Kai
Li, Jing
Xie, Zhensheng
Xue, Peng
Cai, Tanxi
Cui, Ziyou
Chen, Xiulan
Hou, Junjie
Zhang, Jianzhong
Yang, Fuquan
Discovery and identification of potential biomarkers of pediatric Acute Lymphoblastic Leukemia
title Discovery and identification of potential biomarkers of pediatric Acute Lymphoblastic Leukemia
title_full Discovery and identification of potential biomarkers of pediatric Acute Lymphoblastic Leukemia
title_fullStr Discovery and identification of potential biomarkers of pediatric Acute Lymphoblastic Leukemia
title_full_unstemmed Discovery and identification of potential biomarkers of pediatric Acute Lymphoblastic Leukemia
title_short Discovery and identification of potential biomarkers of pediatric Acute Lymphoblastic Leukemia
title_sort discovery and identification of potential biomarkers of pediatric acute lymphoblastic leukemia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2662805/
https://www.ncbi.nlm.nih.gov/pubmed/19291297
http://dx.doi.org/10.1186/1477-5956-7-7
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