Expression profile analysis of microRNAs in prostate cancer by next‐generation sequencing

Song, Chuyi; Chen, Huan; Wang, Tingzhang; Zhang, Weiguang; Ru, Guo-Ping; Lang, Jessica

doi:10.1002/pros.22936

Cited by 57 publications

(47 citation statements)

References 71 publications

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“…Previous studies have shown that the expression of miR-222-3p was up-regulated in prostate cancer and follicular thyroid cancer (Stokowy et al, 2014;Song et al, 2015). In addition, there is study reported that miR-222-3p was p53-regulated miRNA and its over-expression will inhibit the proliferation of neuroblastoma cells, which will contribute to the antitumor activity of p53 protein (Rihani et al, 2015).…”

Section: Cells In Vitromentioning

confidence: 94%

The altered microRNA profile in andrographolide-induced inhibition of hepatoma tumor growth

Lü

Sheng

Zhang

et al. 2016

Gene

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Section: Cells In Vitromentioning

confidence: 94%

The altered microRNA profile in andrographolide-induced inhibition of hepatoma tumor growth

Lü

Sheng

Zhang

et al. 2016

Gene

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“…We previously investigated small RNA transcriptomes by deep-sequencing technology to evaluate three pooled libraries [9]. A total of 13,896,705, 16,768,094 and 17,184,337 raw sequence reads were produced for the malignant PCa (G > 7), early PCa (G ≤ 7), and BPH groups, respectively.…”

Section: Aberrant Expression Of Mir-141-3p In Human Early Pcamentioning

confidence: 99%

“…A total of 13,896,705, 16,768,094 and 17,184,337 raw sequence reads were produced for the malignant PCa (G > 7), early PCa (G ≤ 7), and BPH groups, respectively. After filtering out low quality reads and trimming off adaptors, 10,494,173, 14,577,221 and 14,614,835 sequence reads were obtained [9]. The normalized counts of sequencing reads (specific miRNA/total sequencing tags in the library) were used to quantify miRNA expression levels among the PCa (G > 7), PCa (G ≤ 7) and BPH groups.…”

Section: Aberrant Expression Of Mir-141-3p In Human Early Pcamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…We have previously reported deregulation of miRNAs in PCa revealed by deep-sequencing in a study designed to investigate the expression levels and roles of miR-141-3p in PCa carcinogenesis [9]. Expression levels of objective genes were measured by deep-sequencing and quantitative polymerase chain reaction (qPCR) in a small cohort of patients with localized early PCa (Gleason ≤ 7) and non-tumor control tissues [9]. In the present study, the expression levels of miR-141-3p and the ef-fects on AR transcriptional activity were estimated by upregulating or downregulating miR-141-3p using its mimic or inhibitor in the human non-malignant prostate epithelial cell line RWPE-1and human malignant prostate cancer cell lines PC-3 and VCaP.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

miR-141-3p Suppresses Expression of Androgen Receptors and Functions as a Tumor Suppressor Gene in Prostate Carcinogenesis

Song¹,

Chen²,

Wang³

et al. 2017

IJCM

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Background: Prostate cancer (PCa) is a leading cause of tumor mortality in Western societies. In China, the PCa mortality rate is increasing yearly. Androgen receptors (ARs) and microRNAs (miRNAs) play central roles in prostate carcinogenesis and progression. Methods: To characterize the underlying molecular mechanisms, we compared the miRNA profiles of early PCa (G ≤ 7), advanced PCa (G > 7) and non-tumor prostate tissues using deep-sequencing. The target genes of differentially expressed miRNAs were predicted by bioinformatics analysis and confirmed by luciferase reporter assays and Western blot (WB) and quantitative reverse transcription-PCR (qRT-PCR)analyses. Finally, we performed in vitro functional studies by inducing or inhibiting miR-141-3p expression using an artificial mimic or inhibitor. Results: A computational search implicated the open reading frame (ORF) of AR mRNA as a potential miR-141-3p target site. The qRT-PCR, WB and luciferase reporter assays revealed a reverse regulatory effect of miR-141-3p on AR. Mutation of the potential miR-141-3p binding site in the AR ORF resulted in a loss of responsiveness to the corresponding miRNA. Moreover, miR-141-3p expression levels were unchanged in early PCas, but were obviously increased in advanced PCas. MiR-141-3p overexpression inhibited RWPE-1 cell proliferation, mobility, and prohibited the entry of cells into the G2-S-M phase; miR-141-3p inhibition had the inverse effects. At the same time, we tested miR-141-3p's functions in PC-3 and VCaP prostate cancer cell lines. Conclusions: Taken together, our results indicate that miR-141-3p targets AR and its downstream signaling pathways, and functions as a tumor suppressor miR in PCa carcinogenesis by suppressing cell growth and mobility, but the effect is not significant in maglinant PCas. MiR-141-3p is implicated as a novel therapeutic target for early PCa.

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The potential of microRNAs as human prostate cancer biomarkers: A meta‐analysis of related studies

Song

Chen

et al. 2017

J of Cellular Biochemistry

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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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Expression profile analysis of microRNAs in prostate cancer by next‐generation sequencing

Cited by 57 publications

References 71 publications

The altered microRNA profile in andrographolide-induced inhibition of hepatoma tumor growth

The altered microRNA profile in andrographolide-induced inhibition of hepatoma tumor growth

miR-141-3p Suppresses Expression of Androgen Receptors and Functions as a Tumor Suppressor Gene in Prostate Carcinogenesis

The potential of microRNAs as human prostate cancer biomarkers: A meta‐analysis of related studies

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