Literature DB >> 16239339

Oral cancer plasma tumor marker identified with bead-based affinity-fractionated proteomic technology.

Ann-Joy Cheng1, Li-Chiu Chen, Kun-Yi Chien, Yin-Ju Chen, Joseph Tung-Chieh Chang, Hung-Ming Wang, Chun-Ta Liao, I-How Chen.   

Abstract

BACKGROUND: There is no plasma marker for detecting oral cancer, one of the most frequent cancers worldwide. We developed a bead-based affinity-fractionated proteomic method to discover a novel plasma marker for oral cancer.
METHODS: Affinity purification of heparinized plasma with magnetic beads and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis were used to screen potential oral cancer markers. We compiled MS protein profiles for 57 patients with oral cancer and compared them with profiles from 29 healthy controls. The spectra were analyzed statistically using flexAnalysis and ClinProt bioinformatic software. In each MS analysis, the peak intensities of interest were normalized with an internal standard (adrenocorticotropic hormone 18-39). For identification, affinity bead-purified plasma protein was subjected to MALDI TOF/TOF analysis followed by Mascot identification of the peptide sequences and a search of the National Center for Biotechnology Information protein database.
RESULTS: To optimize MALDI-TOF analysis based on the best discriminator of the cancer and control spectra, copper-chelated beads were used for plasma protein profiling. The within- and between-run CVs for assays were <4% and 7%, respectively. Six markers that differentiated between cancer and control spectra were found, with mean (SD) molecular masses of 2664 (1), 2850 (1), 3250 (1), 7735 (2), 7927 (2), and 9240 (2) Da. The 2664-Da marker, identified as a fragment of the fibrinogen alpha-chain, had the highest sensitivity (100%) and specificity (97%) for cancer.
CONCLUSION: The high specificity and sensitivity of the fibrinogen alpha-chain fragment suggest that it may be a clinical useful tumor marker.

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Year:  2005        PMID: 16239339     DOI: 10.1373/clinchem.2005.052324

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  35 in total

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2.  Pattern-based diagnosis and screening of differentially expressed serum proteins for rheumatoid arthritis by proteomic fingerprinting.

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3.  Multiple reaction monitoring-based, multiplexed, absolute quantitation of 45 proteins in human plasma.

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Journal:  Mol Cell Proteomics       Date:  2009-05-01       Impact factor: 5.911

4.  Peptidome profiling of human serum of uveal melanoma patients based on magnetic bead fractionation and mass spectrometry.

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5.  Comparative serum proteomic analysis involving liver organ-specific metastasis-associated proteins of nasopharyngeal carcinoma.

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7.  Establishing Classification Tree Models in Rheumatoid Arthritis Using Combination of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry and Magnetic Beads.

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Journal:  Mol Cell Proteomics       Date:  2009-03-18       Impact factor: 5.911

9.  Specific Investigation of Sample Handling Effects on Protease Activities and Absolute Serum Concentrations of Various Putative Peptidome Cancer Biomarkers.

Authors:  Irene van den Broek; Rolf W Sparidans; Jan H M Schellens; Jos H Beijnen
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10.  Serum protein profiling and proteomics in autistic spectrum disorder using magnetic bead-assisted mass spectrometry.

Authors:  Regina Taurines; Edward Dudley; Alexander C Conner; Julia Grassl; Thomas Jans; Frank Guderian; Claudia Mehler-Wex; Andreas Warnke; Manfred Gerlach; Johannes Thome
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