PURPOSE: Prostate cancer remains the second most frequent cause of tumor-related deaths in the Western world. Additional markers for the identification of prostate cancer development and progression are needed. Osteopontin (OPN), which activates matrix metalloproteinases (MMP), is considered a prognostic biomarker in several cancers. "In silico" and experimental approaches were used to determine whether OPN-mediated MMP activation may be a signal of prostate cancer progression. EXPERIMENTAL DESIGN: Pearson correlation coefficients were computed for each OPN/MMP pair across seven publicly available prostate cancer gene expression data sets. Using Gene Set Enrichment Analysis, 101 cancer-related gene sets were analyzed for association with OPN and MMP-9 expression. OPN, MMP-9, MMP-2 tissue inhibitor of metalloproteinase-1 plasma levels, and MMP gelatinase activity were measured by ELISA and zymography in 96 and 92 patients with prostate cancer and benign prostatic hyperplasia, respectively, and 125 age-matched healthy men. RESULTS: Computational analyses identified a significant correlation only between MMP-9 and OPN, and showed significant enrichment scores in "cell proliferation", "genes constituting the phosphoinositide-3-kinase predictor", "proliferation signature", and "tumor metastasis" gene sets in association with both OPN and MMP-9. Plasma analyses revealed a significant increase in OPN and MMP-9 levels and activity in patients with prostate cancer in association with clinical variables (prostate-specific antigen > 4 ng/mL and Gleason score > 7). Significant correlation between OPN and MMP-9 levels were also observed. Mean plasma levels of OPN and MMP-9 decreased in patients with prostate cancer within 6 months after prostatectomy. CONCLUSIONS: The concordant computational and experimental data indicate that the extent of OPN pathway activation correlates with prostate cancer progression.
PURPOSE:Prostate cancer remains the second most frequent cause of tumor-related deaths in the Western world. Additional markers for the identification of prostate cancer development and progression are needed. Osteopontin (OPN), which activates matrix metalloproteinases (MMP), is considered a prognostic biomarker in several cancers. "In silico" and experimental approaches were used to determine whether OPN-mediated MMP activation may be a signal of prostate cancer progression. EXPERIMENTAL DESIGN: Pearson correlation coefficients were computed for each OPN/MMP pair across seven publicly available prostate cancer gene expression data sets. Using Gene Set Enrichment Analysis, 101 cancer-related gene sets were analyzed for association with OPN and MMP-9 expression. OPN, MMP-9, MMP-2 tissue inhibitor of metalloproteinase-1 plasma levels, and MMP gelatinase activity were measured by ELISA and zymography in 96 and 92 patients with prostate cancer and benign prostatic hyperplasia, respectively, and 125 age-matched healthy men. RESULTS: Computational analyses identified a significant correlation only between MMP-9 and OPN, and showed significant enrichment scores in "cell proliferation", "genes constituting the phosphoinositide-3-kinase predictor", "proliferation signature", and "tumor metastasis" gene sets in association with both OPN and MMP-9. Plasma analyses revealed a significant increase in OPN and MMP-9 levels and activity in patients with prostate cancer in association with clinical variables (prostate-specific antigen > 4 ng/mL and Gleason score > 7). Significant correlation between OPN and MMP-9 levels were also observed. Mean plasma levels of OPN and MMP-9 decreased in patients with prostate cancer within 6 months after prostatectomy. CONCLUSIONS: The concordant computational and experimental data indicate that the extent of OPN pathway activation correlates with prostate cancer progression.
Authors: Teresa D Elo; Eeva M Valve; Jani A Seppänen; Heikki J Vuorikoski; Sari I Mäkelä; Matti Poutanen; Paula M Kujala; Pirkko L Härkönen Journal: Neoplasia Date: 2010-11 Impact factor: 5.715
Authors: Petra Popovics; Wisam N Awadallah; Sarah E Kohrt; Thomas C Case; Nicole L Miller; Emily A Ricke; Wei Huang; Marisol Ramirez-Solano; Qi Liu; Chad M Vezina; Robert J Matusik; William A Ricke; Magdalena M Grabowska Journal: Prostate Date: 2020-05-01 Impact factor: 4.104
Authors: Molly C Madden; William C Byrnes; Jacob A Lebin; Matthew E Batliner; David L Allen Journal: Eur J Appl Physiol Date: 2011-01-11 Impact factor: 3.078
Authors: Silvan Boxler; Valentin Djonov; Thomas M Kessler; Ruslan Hlushchuk; Lucas M Bachmann; Ulrike Held; Regula Markwalder; George N Thalmann Journal: Am J Pathol Date: 2010-10-01 Impact factor: 4.307