Literature DB >> 24833528

Search for breast cancer biomarkers in fractionated serum samples by protein profiling with SELDI-TOF MS.

Annemieke W J Opstal-van Winden1, Jos H Beijnen, Arnoud Loof, Waander L van Heerde, Roel Vermeulen, Petra H M Peeters, Carla H van Gils.   

Abstract

BACKGROUND: Many high-abundant acute phase reactants have been previously detected as potential breast cancer biomar-kers. However, they are unlikely to be specific for breast cancer. Cancer-specific biomarkers are thought to be among the lower abundant proteins.
METHODS: We aimed to detect lower abundant discriminating proteins by performing serum fractionation by strong anion exchange chromatography preceding protein profiling with SELDI-TOF MS. In a pilot study, we tested the different fractions resulting from fractionation, on several array types. Fraction 3 on IMAC30 and Fraction 6 on Q10 yielded the most discriminative proteins and were used for serum protein profiling of 73 incident breast cancer cases and 73 matched controls.
RESULTS: Eight peaks showed statistically significantly different intensities between cases and controls (P⧁0.05), and had less than 10% chance to be a false-positive finding. Seven of these were tentatively identified as apolipoprotein C-II (m/z 8,909), oxidized apolipoprotein C-II (m/z 8,925), apolipoprotein C-III (m/z 8,746), fragment of coagulation factor XIIIa (m/z 3,959), heterodimer of apolipoprotein A-I and apolipoprotein A-II (m/z 45,435), hemoglobin B-chain (m/z 15,915), and post-translational modified hemoglobin (m/z 15,346).
CONCLUSION: By extensive serum fractionation, we detected many more proteins than in previous studies without fractionation. However, discriminating proteins were still high abundant. Results indicate that either lower abundant proteins are less distinctive, or more rigorous fractionation and selective protein depletion, or a more sensitive assay, are needed to detect lower abundant discriminative proteins.
© 2012 Wiley Periodicals, Inc.

Entities:  

Keywords:  SELDI-TOF MS; biomarker; breast cancer; fractionation; proteomics

Mesh:

Substances:

Year:  2012        PMID: 24833528      PMCID: PMC6807421          DOI: 10.1002/jcla.20492

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


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