Expression of uPAR mRNA in peripheral blood is a favourite marker for metastasis in gastric cancer cases

Abstract

Urokinase-type plasminogen activator receptor (uPAR) plays a central role in the plasminogen activation cascade and participates in extracellular matrix degradation, cell migration and invasion. We evaluated the expression level of uPAR mRNA and the presence of isolated tumour cells (ITCs) in bone marrow (BM) and peripheral blood (PB) in gastric cancer patients and clarified its clinical significance. We assessed specific uPAR mRNA expression by quantitative real-time reverse transcriptase- polymerase chain reaction (RT–PCR) in BM and PB in 846 gastric cancer patients as well as three epithelial cell markers, carcinoembryonic antigen (CEA), cytokeratin (CK)-19 and CK-7. The uPAR mRNA expression in bone marrow and peripheral blood expressed significantly higher than normal controls (P<0.0001). The uPAR mRNA in BM showed concordant expression with the depth of tumour invasion, distant metastasis, and the postoperative recurrence (P=0.015, 0.044 and 0.010, respectively); whereas in PB, we observed more intimate significant association between uPAR expression and clinicopathologic variables, such as depth of tumour invasion, the distant metastasis, the venous invasion and the clinical stage (P=0.009, 0.002, 0.039 and 0.008, respectively). In addition, the uPAR mRNA expression in PB was an independent prognostic factor for distant metastasis by multivariate analysis. We disclosed that it was possible to identify high-risk patients for distant metastasis by measuring uPAR mRNA especially in peripheral blood at the timing of operation in gastric cancer patients.

DOI: 10.1038/sj.bjc.6604806

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@article{Kita2009ExpressionOU, title={Expression of uPAR mRNA in peripheral blood is a favourite marker for metastasis in gastric cancer cases}, author={Yusuke Kita and Takeo Fukagawa and Koshi Mimori and Yoshihiro Kosaka and Kazuo Ishikawa and Takashi Aikou and Shoji Natsugoe and Mitsuru Sasako and Masatomo Mori}, journal={British Journal of Cancer}, year={2009}, volume={100}, pages={153 - 159} }