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J Proteome Res. 2009 Feb;8(2):457-62. doi: 10.1021/pr800655p.

Identification of predictive biomarkers for response to trastuzumab using plasma FUCA activity and N-glycan identified by MALDI-TOF-MS.

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1
Department of Genome Biology, Kinki University School of Medicine, Osaka, Japan.

Abstract

The aim of this study was to identify glycobiological biomarkers that indicate sensitivity to trastuzumab, a humanized monoclonal antibody against HER2 in plasma samples from breast cancer patients. Plasma samples were obtained from 24 breast cancer patients treated with trastuzumab monotherapy. The catalytic activities of plasma alpha1-6, fucosyltransferase (FUT8) and alpha-L fucosidase (FUCA) were analyzed using high-performance liquid chromatography (HPLC) and spectrophotometer, respectively. The plasma N-glycan profiles were investigated using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). Plasma FUT8 activity was not significantly correlated with either the clinical response or progression-free survival (PFS). On the other hand, plasma FUCA activity was significantly correlated with PFS (p < 0.05). The MALDI-TOF-MS analysis of the plasma N-glycan profile revealed that the expression of 2534 m/z N-glycan was lower in patients with progressive disease (PD) and was correlated with PFS. Low expression of 2534 m/z N-glycan discriminated between PD and non-PD with 75% sensitivity and 82% specificity. We demonstrated that the plasma FUCA activity and 2534 m/z N-glycan may be predictive biomarkers of sensitivity to trastuzumab. Our results suggest that glycosylation analysis may provide useful information for determining clinical cancer therapy and provide novel insight into biomarker studies using glycobiological tools in the field of breast cancer.

PMID:
19140672
DOI:
10.1021/pr800655p
[Indexed for MEDLINE]

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