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      MicroRNA-21 and microRNA-30c as diagnostic biomarkers for prostate cancer: a meta-analysis

      research-article
      1 , 2
      Cancer Management and Research
      Dove Medical Press
      microRNA-21, microRNA-30c, prostate cancer, meta-analysis

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          Abstract

          Background

          Prostate cancer (PCa) is the second leading cause of cancer death in men. Several articles have reported that microRNA-21 (miR-21) and microRNA-30c (miR-30c) have diagnostic values for PCa, but the results are inconclusive. In order to precisely assess the diagnostic values of miR-21 and miR-30c for PCa, this meta-analysis is performed.

          Methods

          Articles were searched in the databases of PubMed, Embase, and Web of Knowledge (search date: September 6, 2018). Studies were included if they were designed to evaluate the diagnostic performance of miR-21 or miR-30c for PCa. Using Stata 12.0 and Meta-Disc 1.4, the pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under curve (AUC) of the summary receiver-operating characteristic (SROC) curve with the corresponding 95% CI were calculated.

          Results

          Overall, ten studies (six studies for miR-21 and four for miR-30c) involving1,371 participants were included in this meta-analysis. For miR-21, the pooled SEN and SPE were, respectively, 0.91 (95% CI: 0.87–0.94) and 0.88 (95% CI: 0.82–0.93), the pooled PLR and NLR were, respectively, 7.74 (95% CI: 4.81–12.47), 0.1 (95% CI: 0.06–0.15), the DOR was 77.64 (95% CI: 34.64–174.02), AUC of SROC was 0.95 (95% CI: 0.93–0.97). For miR-30c, the pooled SEN and SPE were, respectively, 0.74 (95% CI: 0.65–0.81) and 0.78 (95% CI: 0.72–0.83), the pooled PLR and NLR were, respectively, 3.39 (95% CI: 2.69–4.26), and 0.34 (95% CI: 0.26–0.44), the DOR was 10.06 (95% CI: 6.96–14.55), and AUC of SROC was 0.83 (95% CI: 0.79–0.86).

          Conclusion

          For PCa, miR-21 is a good diagnostic biomarker and miR-30c is a moderate diagnostic biomarker.

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          Most cited references16

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          MicroRNA-21 targets a network of key tumor-suppressive pathways in glioblastoma cells.

          MicroRNA dysregulation is observed in different types of cancer. MiR-21 up-regulation has been reported for the majority of cancers profiled to date; however, knowledge is limited on the mechanism of action of miR-21, including identification of functionally important targets that contribute to its proproliferative and antiapoptotic actions. In this study, we show for the first time that miR-21 targets multiple important components of the p53, transforming growth factor-beta (TGF-beta), and mitochondrial apoptosis tumor-suppressive pathways. Down-regulation of miR-21 in glioblastoma cells leads to derepression of these pathways, causing repression of growth, increased apoptosis, and cell cycle arrest. These phenotypes are dependent on two of the miR-21 targets validated in this study, HNRPK and TAp63. These findings establish miR-21 as an important oncogene that targets a network of p53, TGF-beta, and mitochondrial apoptosis tumor suppressor genes in glioblastoma cells.
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            Combination of three miRNA (miR-141, miR-21, and miR-375) as potential diagnostic tool for prostate cancer recognition

            Purpose Prostate cancer (PCa) is a common tumor disease in western countries and a leading cause of cancer-driven mortality in men. Current methods for prostate cancer detection, like prostate-specific antigen screening, lead to significant overtreatment. The purpose of the study was to analyze circulating microRNAs in serum as non-invasive biomarkers in patients with diagnosis of prostate cancer and healthy individuals. Methods This preliminary study included a population of 20 patients with mean age of 68.6 years and mean PSA of 21.3 ng/ml. Eight healthy patients were used as control. MiRNAs were quantified in the total RNA fraction extracted from serum and levels of five microRNAs (miR-106b, miR-141, miR-21, mir-34a, and miR-375) were quantified by RT-qPCR. Statistical analyses evaluated correlation between clinicopathological data and miRNAs expression levels. Results Relative expression ratios of miR-106b, miR-141-3p, miR-21, and miR-375 were significantly increased (1.8-,  1.9-, 2.4-, and 2.6-fold, respectively) in the PCa group compared to healthy control. Using receiver operating characteristics, the highest area under the curve equal to 0.906 was obtained for miR-357 and indicates a very good diagnostic properties of this biomarker. We found expression level of mir-34a not related with PCa. Conclusions Our results support previous findings on the possibility of discriminating prostate cancer patients from healthy controls by detecting miRNA (miR-141-3p, miR-21, and miR-375). Further insights into miRNA abundance and characteristics are necessary to validate the panel of miRNA as surrogate markers in diagnosis of prostate cancer.
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              The potential of microRNAs as human prostate cancer biomarkers: A meta‐analysis of related studies

              Abstract Prostate cancer (PC) is a very important kind of male malignancies. When PC evolves into a stage of hormone resistance or metastasis, the fatality rate is very high. Currently, discoveries and advances in miRNAs as biomarkers have opened the potential for the diagnosis of PC, especially early diagnosis. miRNAs not only can noninvasively or minimally invasively identify PC, but also can provide the data for optimization and personalization of therapy. Moreover, miRNAs have been shown to play an important role to predict prognosis of PC. The purpose of this meta‐analysis is to integrate the currently published expression profile data of miRNAs in PC, and evaluate the value of miRNAs as biomarkers for PC. All of relevant records were selected via electronic databases: Pubmed, Embase, Cochrane, and CNKI based on the assessment of title, abstract, and full text. we extracted mean ± SD or fold change of miRNAs expression levels in PC versus BPH or normal controls. Pooled hazard ratios (HRs) with 95% confidence intervals (CI) for overall survival (OS) and recurrence‐free survival (RFS), were also calculated to detect the relationship between high miRNAs expression and PC prognosis. Selected 104 articles were published in 2007‐2017. According to the inclusion criteria, 104 records were included for this meta‐analysis. The pooled or stratified analyze showed 10 up‐regulated miRNAs (miR‐18a, miR‐34a, miR‐106b, miR‐141, miR‐182, miR‐183, miR‐200a/b, miR‐301a, and miR‐375) and 14 down‐regulated miRNAs (miR‐1, miR‐23b/27b, miR‐30c, miR‐99b, miR‐139‐5p, miR‐152, miR‐187, miR‐204, miR‐205, miR‐224, miR‐452, miR‐505, and let‐7c) had relatively good diagnostic and predictive potential to discriminate PC from BPH/normal controls. Furthermore, high expression of miR‐32 and low expression of let‐7c could be used to differentiate metastatic PC from local/primary PC. Additional interesting findings were that the expression profiles of five miRNAs (miR‐21, miR‐30c, miR‐129, miR‐145, and let‐7c) could predict poor RFS of PC, while the evaluation of miR‐375 was associated with worse OS. miRNAs are important regulators in PC progression. Our results indicate that miRNAs are suitable for predicting the different stages of PC. The detection of miRNAs is an effective way to control patient's prognosis and evaluate therapeutic efficacy. However, large‐scale detections based on common clinical guidelines are still necessary to further validate our conclusions, due to the bias induced by molecular heterogeneity and differences in study design and detection methods.
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                Author and article information

                Journal
                Cancer Manag Res
                Cancer Manag Res
                Cancer Management and Research
                Cancer Management and Research
                Dove Medical Press
                1179-1322
                2019
                06 March 2019
                : 11
                : 2039-2050
                Affiliations
                [1 ]Department of Clinical Laboratory, Changzhou No.2 People’s Hospital affiliated to Nanjing Medical University, Changzhou, Jiangsu Province, China
                [2 ]Department of Clinical Laboratory, Wuxi People’s Hospital affiliated to Nanjing Medical University, Wuxi, Jiangsu Province, China, 7091159@ 123456qq.com
                Author notes
                Correspondence: Xuming Zhu, Department of Clinical Laboratory, Wuxi People’s Hospital Affiliated to Nanjing Medical University, No. 299 at Qingyang Road, Wuxi 214023, Jiangsu Province, China, Tel +86 150 5223 3796, Email 7091159@ 123456qq.com
                Article
                cmar-11-2039
                10.2147/CMAR.S189026
                6411321
                30881128
                00290b10-57eb-4282-a18d-8674e716964e
                © 2019 Zhou and Zhu. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

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                Categories
                Original Research

                Oncology & Radiotherapy
                microrna-21,microrna-30c,prostate cancer,meta-analysis
                Oncology & Radiotherapy
                microrna-21, microrna-30c, prostate cancer, meta-analysis

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