OBJECTIVE: Experimental evidence shows that microRNAs play an important role in the initiation and progression of human malignancies. The present study aimed to investigate the expressions of 6 microRNAs in prostate cancer (PCa) and their clinical significance. METHODS: We investigated the expression profiles of 6 microRNAs (let-7g, let-7d, miR-98, miR-96, miR-182 and miR-183) using the method of locked nucleic acid (LNA)-modified oligonucleotide in situ hybridization (ISH) and the technology of tissue microarray (TMA) with the formalin-fixed paraffin-embedded (FFPE) specimens from 52 patients with PCa and 38 with benign prostatic hyperplasia (BPH). Then we analyzed the correlation among the expressions of the 6 microRNAs in PCa and their correlation with the Gleason score and clinical stages of PCa. RESULTS: Compared with BPH, the PCa patients showed decreased expressions of miR-98, let-7d and let-7g, and decreased expressions of miR-96, miR-182 and miR-183, with statistically significant differences between the two groups (P < 0.05). The positive rate of the 6 microRNAs was significantly correlated with the Gleason grades of PCa (P < 0.05), but not with the age and serum PSA concentration of the patients (P > 0.05). The expressions of miR-96 and miR-182 were correlated with the clinical stages of the tumor (P < 0.05). There was a positive correlation among the expressions of miR-96, miR-182 and miR-183 (P = 0.00, r = 0.41), as well as between the expressions of let-7d and let-7g (P = 0.00, r = 0.46) in the PCa tissues. And the expression of miR-98 was positively correlated with those of let-7d and let-7g (P = 0.00, r = 0.46). CONCLUSION: The expression profiles of the microRNAs let-7d, let-7g, miR-98, miR-96, miR-182 and miR-183 reflect the biological behavior of PCa to some extent, and might be important biomarkers for the early detection and prognostic assessment of prostate cancer.
OBJECTIVE: Experimental evidence shows that microRNAs play an important role in the initiation and progression of humanmalignancies. The present study aimed to investigate the expressions of 6 microRNAs in prostate cancer (PCa) and their clinical significance. METHODS: We investigated the expression profiles of 6 microRNAs (let-7g, let-7d, miR-98, miR-96, miR-182 and miR-183) using the method of locked nucleic acid (LNA)-modified oligonucleotide in situ hybridization (ISH) and the technology of tissue microarray (TMA) with the formalin-fixed paraffin-embedded (FFPE) specimens from 52 patients with PCa and 38 with benign prostatic hyperplasia (BPH). Then we analyzed the correlation among the expressions of the 6 microRNAs in PCa and their correlation with the Gleason score and clinical stages of PCa. RESULTS: Compared with BPH, the PCa patients showed decreased expressions of miR-98, let-7d and let-7g, and decreased expressions of miR-96, miR-182 and miR-183, with statistically significant differences between the two groups (P < 0.05). The positive rate of the 6 microRNAs was significantly correlated with the Gleason grades of PCa (P < 0.05), but not with the age and serum PSA concentration of the patients (P > 0.05). The expressions of miR-96 and miR-182 were correlated with the clinical stages of the tumor (P < 0.05). There was a positive correlation among the expressions of miR-96, miR-182 and miR-183 (P = 0.00, r = 0.41), as well as between the expressions of let-7d and let-7g (P = 0.00, r = 0.46) in the PCa tissues. And the expression of miR-98 was positively correlated with those of let-7d and let-7g (P = 0.00, r = 0.46). CONCLUSION: The expression profiles of the microRNAs let-7d, let-7g, miR-98, miR-96, miR-182 and miR-183 reflect the biological behavior of PCa to some extent, and might be important biomarkers for the early detection and prognostic assessment of prostate cancer.
Authors: Shyamal Dilhan Weeraratne; Vladimir Amani; Natalia Teider; Jessica Pierre-Francois; Dominic Winter; Min Jeong Kye; Soma Sengupta; Tenley Archer; Marc Remke; Alfa H C Bai; Peter Warren; Stefan M Pfister; Judith A J Steen; Scott L Pomeroy; Yoon-Jae Cho Journal: Acta Neuropathol Date: 2012-03-10 Impact factor: 17.088
Authors: Andreas Keller; Petra Leidinger; Britta Vogel; Christina Backes; Abdou ElSharawy; Valentina Galata; Sabine C Mueller; Sabine Marquart; Michael G Schrauder; Reiner Strick; Andrea Bauer; Jörg Wischhusen; Markus Beier; Jochen Kohlhaas; Hugo A Katus; Jörg Hoheisel; Andre Franke; Benjamin Meder; Eckart Meese Journal: BMC Med Date: 2014-12-03 Impact factor: 8.775
Authors: Christina Backes; Petra Leidinger; Andreas Keller; Martin Hart; Tim Meyer; Eckart Meese; Anne Hecksteden Journal: PLoS One Date: 2014-07-10 Impact factor: 3.240