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      Analysis of microRNA (miRNA) expression profiles reveals 11 key biomarkers associated with non-small cell lung cancer

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      1 , 1 , , 2
      World Journal of Surgical Oncology
      BioMed Central
      Non-small cell lung cancer, miRNAs, Biomarker, Meta-analysis

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          Abstract

          Background

          Non-small cell lung cancer (NSCLC) accounts for more than 85% of lung cancer cases which cause most of cancer-related deaths globally. However, the results vary largely in different studies due to different platforms and sample sizes. Here, we aim to identify the key miRNAs in the carcinogenesis of NSCLC that might be potential biomarkers for this cancer.

          Methods

          Meta-analysis was performed on miRNA profile using seven datasets of NSCLC studies. Furthermore, we predicted and investigated the functions of genes regulated by key miRNAs.

          Results

          Eleven key miRNAs were identified, including 2 significantly upregulated ones (hsa-miR-21-5p and hsa-miR-233-3p) and 9 downregulated ones (hsa-miR-126-3p, hsa-miR-133a-3p, hsa-miR-140-5p, hsa-miR-143-5p, hsa-miR-145-5p, hsa-miR-30a-5p, hsa-miR-30d-3p, hsa-miR-328-3pn, and hsa-miR-451). The functional enrichment analysis revealed that both up- and downregulated miRNAs were proportionally associated with regulation of transcription from RNA polymerase II promoter. According to transcription factor analysis, there were 65 (43.9%) transcription factors influenced by both up- and downregulated miRNAs.

          Conclusions

          In this study, 11 meta-signature miRNAs, as well as their target genes and transcription factors, were found to play significant role in carcinogenesis of NSCLC. These target genes identified in our study may be profitable to diagnosis and prognostic prediction of NSCLC as biomarkers.

          Electronic supplementary material

          The online version of this article (10.1186/s12957-017-1244-y) contains supplementary material, which is available to authorized users.

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          Most cited references27

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          Prognostic value of mature microRNA-21 and microRNA-205 overexpression in non-small cell lung cancer by quantitative real-time RT-PCR.

          microRNA (miRNA) expression profiles are being intensively investigated for their involvement in carcinogenesis. We evaluated the prognostic value of mature microRNA-21 (miR-21) and mature microRNA-205 (miR-205) overexpression in non-small cell lung cancer (NSCLC). We studied 48 pairs of NSCLC fresh frozen tissue specimens collected at time of surgery and before chemotherapy. Highly specific amplification and quantification of mature miR-21 and mature miR-205 was achieved using looped real time RT-PCR. miRNA expression, determined by real time RT-PCR, was defined by DeltaDeltaCt measurements. We detected overexpression of mature miR-21 in 25 (52.0%) of the 48 NSCLC paired specimens and overexpression of miR-205 in 31 (64.6%). Overexpression was assessed after comparison of miRNA expression in NSCLC tissues and in their corresponding noncancerous tissues with respect to U6 expression. During the follow-up period, 29 of 48 (60.4%) patients relapsed, and 23 of 48 died (47.9%). Mature miR-21 was upregulated in 16 of 29 (55.2%) patients who relapsed and 15 of 23 (65.2%) patients who died. Mature miR-205 was overexpressed in 19 of 29 patients who relapsed (65.5%) and 15 of 23 patients who died (65.2%). Mature miR-21 overexpression correlated with overall survival (OS) of the patients (P = 0.027), whereas overexpression of mature miR-205 did not. Our results suggest that overexpression of mature miR-21 is an independent negative prognostic factor for OS in NSCLC patients.
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            Accurate microRNA target prediction correlates with protein repression levels

            Background MicroRNAs are small endogenously expressed non-coding RNA molecules that regulate target gene expression through translation repression or messenger RNA degradation. MicroRNA regulation is performed through pairing of the microRNA to sites in the messenger RNA of protein coding genes. Since experimental identification of miRNA target genes poses difficulties, computational microRNA target prediction is one of the key means in deciphering the role of microRNAs in development and disease. Results DIANA-microT 3.0 is an algorithm for microRNA target prediction which is based on several parameters calculated individually for each microRNA and combines conserved and non-conserved microRNA recognition elements into a final prediction score, which correlates with protein production fold change. Specifically, for each predicted interaction the program reports a signal to noise ratio and a precision score which can be used as an indication of the false positive rate of the prediction. Conclusion Recently, several computational target prediction programs were benchmarked based on a set of microRNA target genes identified by the pSILAC method. In this assessment DIANA-microT 3.0 was found to achieve the highest precision among the most widely used microRNA target prediction programs reaching approximately 66%. The DIANA-microT 3.0 prediction results are available online in a user friendly web server at
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              MicroRNA-21 (miR-21) expression promotes growth, metastasis, and chemo- or radioresistance in non-small cell lung cancer cells by targeting PTEN.

              MicroRNAs (miRNAs) regulate gene expression by binding to target sites and initiating translational repression and/or mRNA degradation. In our previous study, we have shown that expression of serum microRNA (miR)-21 is correlated with TNM stage and lymph node metastasis and might be an independent prognostic factor for NSCLC patients. However, the roles of miR-21 overexpression in NSCLC development are still unclear. The purpose of this study is to investigate the effect of miR-21 and determine whether miR-21 can be a therapeutic target for human NSCLC. Taqman real-time quantitative RT-PCR assay was performed to detect miR-21 expression in NSCLC cell lines and tissues. Next, the effects of miR-21 expression on NSCLC cell characteristics including growth, invasion, and chemo- or radioresistance were also determined. Results showed that miR-21 is commonly upregulated in NSCLC cell lines and tissues with important functional consequences. In addition, we found that anti-miR-21 could significantly inhibit growth, migration and invasion, and reverse chemo- or radioresistance of NSCLC cells, while miR-21 mimics could increase growth, promote migration and invasion, and enhance chemo- or radioresistance of NSCLC cells. Meanwhile, miR-21 mimics could inhibit expression of PTEN mRNA and protein and the luciferase activity of a PTEN 3'-untranslated region (UTR)-based reporter construct in A549 cells, while anti-miR-21 could increase expression of PTEN mRNA and protein and the luciferase activity of a PTEN 3'-UTR-based reporter construct in A549 cells. Furthermore, overexpression of PTEN could mimic the same effects of anti-miR-21 in NSCLC cells, and siRNA-mediated downregulation of PTEN could rescue the effects on NSCLC cells induced by anti-miR-21. Taken together, these results provide evidence to show the promotion role of miR-21 in NSCLC development through modulation of the PTEN signaling pathway.
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                Author and article information

                Contributors
                +8615002907667 , lilures@163.com
                Journal
                World J Surg Oncol
                World J Surg Oncol
                World Journal of Surgical Oncology
                BioMed Central (London )
                1477-7819
                19 September 2017
                19 September 2017
                2017
                : 15
                : 175
                Affiliations
                [1 ]Department of Clinical Medicine, Xi’an Medical University, Shaanxi Research Center of Respiratory Diseases Prevention and Diagnosis and Treatment, Xi’an City, Shaanxi Province 710021 China
                [2 ]Department of Respiratory, First Affiliated Hospital of Xi’an Medical University, Shaanxi Research Center of Respiratory Diseases Prevention & Diagnosis and Treatment, Xi’an City, Shaanxi Province China
                Article
                1244
                10.1186/s12957-017-1244-y
                5606074
                f27faa63-1961-43ed-a4ae-21f19c02daee
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 5 March 2017
                : 3 September 2017
                Funding
                Funded by: R & D Program of Shaanxi Province
                Award ID: 2012K13-02-16
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                Surgery
                non-small cell lung cancer,mirnas,biomarker,meta-analysis
                Surgery
                non-small cell lung cancer, mirnas, biomarker, meta-analysis

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