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Erschienen in: Journal of Cancer Research and Clinical Oncology 3/2011

01.03.2011 | Original Paper

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

verfasst von: Renyong Guo, Chunqin Pan, Jianmin Shen, Chibo Liu

Erschienen in: Journal of Cancer Research and Clinical Oncology | Ausgabe 3/2011

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Abstract

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.
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Metadaten
Titel
New serum biomarkers for detection of esophageal carcinoma using Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry
verfasst von
Renyong Guo
Chunqin Pan
Jianmin Shen
Chibo Liu
Publikationsdatum
01.03.2011
Verlag
Springer-Verlag
Erschienen in
Journal of Cancer Research and Clinical Oncology / Ausgabe 3/2011
Print ISSN: 0171-5216
Elektronische ISSN: 1432-1335
DOI
https://doi.org/10.1007/s00432-010-0899-3

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