Karatas Omer Faruk, Guzel Esra, Suer Ilknur, Ekici Isin D, Caskurlu Turhan, Creighton Chad J, Ittmann Michael, Ozen Mustafa
Department of Medical Genetics, Istanbul University, Cerrahpasa Medical School, Istanbul, Turkey; Molecular Biology and Genetics Department, Erzurum Technical University, Erzurum, Turkey.
Department of Medical Genetics, Istanbul University, Cerrahpasa Medical School, Istanbul, Turkey; Biruni University, Istanbul, Turkey.
PLoS One. 2014 Jun 26;9(6):e98675. doi: 10.1371/journal.pone.0098675. eCollection 2014.
Prostate cancer (PCa) is currently the most frequently diagnosed malignancy in the western countries. It is more prevalent in older men with 75% of the incident cases above 65 years old. After radical prostatectomy, approximately 30% of men develop clinical recurrence with elevated serum prostate-specific antigen levels. Therefore, it is important to unravel the molecular mechanisms underlying PCa progression to develop novel diagnostic/therapeutic approaches. In this study, it is aimed to compare the microRNA (miRNA) profile of recurrent and non-recurrent prostate tumor tissues to explore the possible involvement of miRNAs in PCa progression. Total RNA from 41 recurrent and 41 non-recurrent PCa tissue samples were used to investigate the miRNA signature in PCa specimens. First of all, 20 recurrent and 20 non-recurrent PCa samples were profiled using miRNA microarray chips. Of the differentially expressed miRNAs, miR-1, miR-133b and miR-145* were selected for further validation with qRT-PCR in a different set of 21 recurrent and 21 non-recurrent PCa samples. Data were statistically analyzed using two-sided Student's t-test, Pearson Correlation test, Receiver operating characteristic analysis. Our results demonstrated that miR-1 and mir-133b have been significantly downregulated in recurrent PCa specimens in comparison to non-recurrent PCa samples and have sufficient power to distinguish recurrent specimens from non-recurrent ones on their own. Here, we report that the relative expression of miR-1 and mir-133b have been significantly reduced in recurrent PCa specimens in comparison to non-recurrent PCa samples, which can serve as novel biomarkers for prediction of PCa progression.
前列腺癌（PCa）是目前西方国家最常被诊断出的恶性肿瘤。它在老年男性中更为普遍，75%的新发病例年龄在65岁以上。根治性前列腺切除术后，约30%的男性会出现临床复发，血清前列腺特异性抗原水平升高。因此，揭示PCa进展的分子机制对于开发新的诊断/治疗方法很重要。在本研究中，旨在比较复发性和非复发性前列腺肿瘤组织的微小RNA（miRNA）谱，以探索miRNA在PCa进展中的可能作用。使用来自41个复发性和41个非复发性PCa组织样本的总RNA来研究PCa标本中的miRNA特征。首先，使用miRNA微阵列芯片对20个复发性和20个非复发性PCa样本进行分析。在差异表达的miRNA中，选择miR-1、miR-133b和miR-145*在另一组21个复发性和21个非复发性PCa样本中用qRT-PCR进行进一步验证。数据使用双侧Student t检验、Pearson相关检验、受试者工作特征分析进行统计分析。我们的结果表明，与非复发性PCa样本相比，miR-1和mir-133b在复发性PCa标本中显著下调，并且它们自身有足够的能力区分复发性标本和非复发性标本。在此，我们报告与非复发性PCa样本相比，miR-1和mir-133b在复发性PCa标本中的相对表达显著降低，它们可作为预测PCa进展的新型生物标志物。
