Back to Search Start Over

Serum degradome markers for the detection of breast cancer

Authors :
Carla H. van Gils
Annekatrien C.T.M. Depla
Eric J van Dulken
Petra H.M. Peeters
Jan H.M. Schellens
Judith Y M N Engwegen
Marie-Christine W. Gast
Annemieke W J van Winden
Irene van den Broek
Annemieke Cats
Jos H. Beijnen
Rolf W. Sparidans
Source :
Journal of proteome research. 9(8)
Publication Year :
2010

Abstract

Many proteins have been proposed as potential biomarkers for breast cancer. Yet, validation of their discriminative value using quantitative methods has scarcely been performed. In this study, we investigated the discriminative value of six peptides that were previously proposed to be generated by breast cancer specific exoproteases: bradykinin, des-Arg(9)-bradykinin, Hyp(3)-bradykinin, and fragments of fibrinogen alpha-chain (Fib-alpha ([605-629])), complement component 4a (C4a ([1337-1350])), and interalpha trypsin inhibitor heavy chain 4 (ITIH4 ([666-687])). Their absolute serum concentrations were measured with a completely validated liquid chromatography-tandem mass spectrometric assay (LC-MS/MS) and compared between 62 newly diagnosed breast cancer patients and 62 controls matched for age and sample storage duration. Both ITIH4 ([666-687]) and des-Arg(9)-bradykinin showed statistically significantly higher median concentrations in breast cancer samples than in matched control samples. Additionally, we analyzed serum samples collected after surgical removal of the tumor, in which median ITIH4 ([666-687]) and des-Arg(9)-bradykinin concentrations were significantly decreased and not statistically significantly different from concentrations in the controls anymore. In a combined analysis, ITIH4 (666-687]) and des-Arg(9)-bradykinin independently contributed to the discrimination between cases and controls. In this study, we confirmed that the exoprotease breakdown peptides, ITIH4 (666-687]) and des-Arg(9)-bradykinin, differed between breast cancer cases and controls, supporting the potential of degradome markers for the diagnosis of breast cancer.

Details

ISSN :
15353907
Volume :
9
Issue :
8
Database :
OpenAIRE
Journal :
Journal of proteome research
Accession number :
edsair.doi.dedup.....2aa4d4e0d69153f2a2bf9cbabb47e90c