Literature DB >> 24805876

Prognostic value of matrix metalloprotease-1/protease-activated receptor-1 axis in patients with prostate cancer.

Jian Wang1, Dingyi Liu, Wenlong Zhou, Mingwei Wang, Weimu Xia, Qi Tang.   

Abstract

The aim of this study was to investigate the associations of matrix metalloprotease-1 (MMP-1) and its receptor protease-activated receptor-1 (PAR-1) coexpression with the clinicopathological characteristics and prognosis of patients with prostate cancer (PCa). Immunohistochemistry was performed to detect the expression changes of MMP-1 and PAR-1 proteins in 180 pairs of human PCa tissues and matched non-cancerous prostate tissues. Then, the associations of combined MMP-1 and PAR-1 expression with selected clinicopathological characteristics and patient prognosis were evaluated. Both MMP-1 and PAR-1 proteins were positively localized in cytoplasm of tumor cells in PCa tissues. Compared with non-cancerous prostate tissues, MMP-1 (PCa vs. Normal: 4.15 ± 1.28 vs. 2.37 ± 1.16, P < 0.001) and PAR-1 (PCa vs. Normal: 3.71 ± 1.21 vs. 1.55 ± 1.12, P < 0.001) protein expression were both significantly upregulated. More interestingly, the expression levels of MMP-1 in PCa tissues were positively correlated with those of PAR-1 significantly (Spearman correlation coefficient r = 0.88, P < 0.001). In addition, the coexpression of MMP-1 and PAR-1 (MMP-1-high/PAR-1-high) in PCa tissues was significantly associated with the higher Gleason score (P < 0.001), the presence of metastasis (P < 0.001) and the advanced pathological stage (P = 0.009). Furthermore, both univariate and multivariate analyses showed that MMP-1-high/PAR-1-high expression was an independent predictor for both unfavorable overall survival and biochemical recurrence-free survival. These findings confirmed for the first time that the upregulation of MMP-1 protein combined with the overexpression of PAR-1 protein may contribute to the malignant progression of PCa. More importantly, MMP-1/PAR-1 axis may be a negative prognostic factor for patients with PCa.

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Year:  2014        PMID: 24805876     DOI: 10.1007/s12032-014-0968-6

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


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