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Discovery and identification of potential biomarkers of pediatric acute lymphoblastic leukemia.

Shi L, Zhang J, Wu P, Feng K, Li J, Xie Z, Xue P, Cai T, Cui Z, Chen X, Hou J, Zhang J, Yang F - Proteome Sci (2009)

Bottom Line: 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).

View Article: PubMed Central - HTML - PubMed

Affiliation: Institute of Biophysics, Chinese Academy of Sciences, Beijing, PR China. shiii@126.com

ABSTRACT

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.

No MeSH data available.


Related in: MedlinePlus

Results of the identification of protein (9290 m/z) by LC-MS/MS. (A) Chromatogram of peptide mixture; (B, C) MS/MS spectra of two peptides.
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Figure 4: Results of the identification of protein (9290 m/z) by LC-MS/MS. (A) Chromatogram of peptide mixture; (B, C) MS/MS spectra of two peptides.

Mentions: After digestion with protease K, the peptide mixture was analyzed by nano-LC-MS/MS. Figure 4 shows the results of the LC-MS/MS chromatogram (A) and MS/MS spectra of two identified peptides (B, C) from the protein (9290 m/z). Table 3 shows the results of the identification of the four candidate protein biomarkers: CTAP-III (fragment of pro-platelet basic protein precursor, PBP, 9290 m/z), PF4 (platelet factor 4, 7769 m/z), and two fragments of C3a (one of human complements, 8137 and 8937 m/z). A combination of high sequence coverage and accurate MW measurement by MALDI-TOF-MS provided a complete sequence of the four candidate protein markers.


Discovery and identification of potential biomarkers of pediatric acute lymphoblastic leukemia.

Shi L, Zhang J, Wu P, Feng K, Li J, Xie Z, Xue P, Cai T, Cui Z, Chen X, Hou J, Zhang J, Yang F - Proteome Sci (2009)

Results of the identification of protein (9290 m/z) by LC-MS/MS. (A) Chromatogram of peptide mixture; (B, C) MS/MS spectra of two peptides.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2662805&req=5

Figure 4: Results of the identification of protein (9290 m/z) by LC-MS/MS. (A) Chromatogram of peptide mixture; (B, C) MS/MS spectra of two peptides.
Mentions: After digestion with protease K, the peptide mixture was analyzed by nano-LC-MS/MS. Figure 4 shows the results of the LC-MS/MS chromatogram (A) and MS/MS spectra of two identified peptides (B, C) from the protein (9290 m/z). Table 3 shows the results of the identification of the four candidate protein biomarkers: CTAP-III (fragment of pro-platelet basic protein precursor, PBP, 9290 m/z), PF4 (platelet factor 4, 7769 m/z), and two fragments of C3a (one of human complements, 8137 and 8937 m/z). A combination of high sequence coverage and accurate MW measurement by MALDI-TOF-MS provided a complete sequence of the four candidate protein markers.

Bottom Line: 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).

View Article: PubMed Central - HTML - PubMed

Affiliation: Institute of Biophysics, Chinese Academy of Sciences, Beijing, PR China. shiii@126.com

ABSTRACT

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.

No MeSH data available.


Related in: MedlinePlus