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Published online before print August 9, 2006
Eur Respir J 2006, doi:10.1183/09031936.06.00135405
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ORIGINAL ARTICLE

Identification of differentially expressed proteins in human malignant pleural effusions

W-Y. Hsieh 1, M-W. Chen 1, H-T. Ho 2, T-M. You 1, Y-T. Lu *

1 Dept of Medical Research, Mackay Memorial Hospital, Taipei, Taiwan
2 Mackay Medicine, Nursing and Management College, Taipei, Taiwan; and Dept of Laboratory Medicine, Mackay Memorial Hospital, Taipei, Taiwan


   Abstract

Higher protein concentration in malignant pleural effusions than in transudative effusions is a marker for clinical diagnosis. However the variability of protein compositions between these two forms of pleural effusions is not well understood.

To compare the protein compositions, we studied the proteomic profiles in 14 malignant and 13 transudative pleural effusions by two-dimension gel electrophoresis. Protein spots with differential expression were identified by matrix-assisted laser desorption/ionization quadrupole time of flight (MALDI-Q-TOF) and liquid chromatography-tandem mass spectrometry (LC/MS). Targeted proteins were further examined in all samples by ELISA assay and Western immunoassay.

Two-dimension gel electrophoresis revealed seven spots with reduced expression in malignant pleural effusions. Four of the abnormal spots were identified as fibrinogen {gamma}-chain precursor, two as fibrinogen {beta}-chain precursor, and one as pigment epithelium-derived factor (PEDF). ELISA and Western immunoassay showed PEDF levels were significantly lower in malignant than in transudative pleural effusions.

We have demonstrated that proteomic technologies may help to discover proteins with potential functions. By applying these technologies, the level of PEDF, a potent antiangiogenic factor, was found to be significantly lower in malignant than in transudative pleural effusions. This finding allows for further exploration of the role of PEDF in mediating malignant pleural effusions.

Keywords:  Angiogenesis, lung cancer, tumour markers




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