New serum biomarkers for detection of esophageal carcinoma using Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

Purpose To screen for the potential protein biomarkers in serum for the diagnosis of esophageal carcinoma (EC) using proteomic fingerprint technology. Methods Proteomic fingerprint technology combining magnetic beads with MALDI-TOF-MS was used to profile and compare the serum proteins from 78 patien...

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Bibliographic Details
Published in:Journal of cancer research and clinical oncology 2011-03, Vol.137 (3), p.513-519
Main Authors: Guo, Renyong, Pan, Chunqin, Shen, Jianmin, Liu, Chibo
Format: Article
Language:English
Subjects:
Antineoplastic agents
Biological and medical sciences
Biomarker
Biomarkers
Biomarkers, Tumor - blood
Blood Proteins - metabolism
Cancer
Cancer Research
Early Detection of Cancer
Esophageal carcinoma
Esophageal Neoplasms - blood
Esophageal Neoplasms - pathology
Esophagus
Female
Gastroenterology. Liver. Pancreas. Abdomen
Hematology
Humans
Internal Medicine
Magnetics
MALDI
Male
Medical sciences
Medicine
Medicine & Public Health
Neoplasm Proteins - blood
Neoplasm Staging
Oncology
Original Paper
Peptide Mapping - methods
Pharmacology. Drug treatments
Protein
Proteomics
Reproducibility of Results
Spectrometry, Mass, Electrospray Ionization - methods
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods
Tumors
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Summary:Purpose To screen for the potential protein biomarkers in serum for the diagnosis of esophageal carcinoma (EC) using proteomic fingerprint technology. Methods Proteomic fingerprint technology combining magnetic beads with MALDI-TOF-MS was used to profile and compare the serum proteins from 78 patients with EC and 95 healthy blood donors. Proteomic patterns associated with EC were identified by Biomarker Patterns Software. Model of biomarkers was constructed and evaluated using the Biomarker Patterns Software. Results A total of 60 discriminating m/z peaks were identified that were related to EC (P < 0.01). The model of biomarkers constructed by the Biomarker Patterns Software based on the four biomarkers (2049.6, 3936.5, 5339.9, and 13748.8 Da) generated excellent separation between the EC and control groups. The sensitivity was 92.5% and the specificity was 88%. Blind test data indicated a sensitivity of 89.5% and a specificity of 84.4%. Conclusions Biomarkers for EC can be discovered in serum by MALDI-TOF-MS combining the use of magnetic beads. The pattern of combined markers provides a powerful and reliable diagnostic method for EC with a high sensitivity and specificity.
ISSN:0171-5216
1432-1335
DOI:10.1007/s00432-010-0899-3