26
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      OncoTargets and Therapy (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on the pathological basis of cancers, potential targets for therapy and treatment protocols to improve the management of cancer patients. Publishing high-quality, original research on molecular aspects of cancer, including the molecular diagnosis, since 2008. Sign up for email alerts here. 50,877 Monthly downloads/views I 4.345 Impact Factor I 7.0 CiteScore I 0.81 Source Normalized Impact per Paper (SNIP) I 0.811 Scimago Journal & Country Rank (SJR)

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      An integrated analysis for long noncoding RNAs and microRNAs with the mediated competing endogenous RNA network in papillary renal cell carcinoma

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Papillary renal cell carcinoma (PRCC) is the second most common subtype of renal cell carcinoma, and it lacks effective therapeutic targets and prognostic molecular biomarkers. Attention has been increasingly focused on long noncoding RNAs (lncRNAs), which can act as competing endogenous RNA (ceRNA) to compete for shared microRNAs (miRNAs) in the tumorigenesis of human tumors. Therefore, to clarify the functional roles of lncRNAs with respect to the mediated ceRNA network in PRCC, we comprehensively integrated expression profiles, including data on mRNAs, lncRNAs and miRNAs obtained from 289 PRCC tissues and 32 normal tissues in The Cancer Genome Atlas. As a result, we identified 2,197 differentially expressed mRNAs (DEmRNAs) and 84 differentially expressed miRNAs (DEmiRNAs) using a threshold of |log2 (fold change)| >2.0 and an adjusted P-value <0.05. To determine the hub DEmRNAs that could be key target genes, a weighted gene co-expression network analysis was performed. A total of 28 hub DEmRNAs were identified as potential target genes. Seven dysregulated DEmiRNAs were identified that were significantly associated with the 28 hub potential target genes. In addition, we found that 16 differentially expressed lncRNAs were able to interact with the DEmiRNAs. Finally, we used Cytoscape software to visualize the ceRNA network with these differently expressed molecules. From these results, we believe that the identified ceRNA network plays a crucial role in the process of PRCC deterioration, and some of the identified genes are strongly related to clinical prognosis.

          Most cited references23

          • Record: found
          • Abstract: found
          • Article: not found

          A coding-independent function of gene and pseudogene mRNAs regulates tumour biology

          The canonical role of messenger RNA (mRNA) is to deliver protein-coding information to sites of protein synthesis. However, given that microRNAs bind to RNAs, we hypothesized that RNAs possess a biological role in cancer cells that relies upon their ability to compete for microRNA binding and is independent of their protein-coding function. As a paradigm for the protein-coding-independent role of RNAs, we describe the functional relationship between the mRNAs produced by the PTEN tumour suppressor gene and its pseudogene (PTENP1) and the critical consequences of this interaction. We find that PTENP1 is biologically active as determined by its ability to regulate cellular levels of PTEN, and that it can exert a growth-suppressive role. We also show that PTENP1 locus is selectively lost in human cancer. We extend our analysis to other cancer-related genes that possess pseudogenes, such as oncogenic KRAS. Further, we demonstrate that the transcripts of protein coding genes such as PTEN are also biologically active. Together, these findings attribute a novel biological role to expressed pseudogenes, as they can regulate coding gene expression, and reveal a non-coding function for mRNAs.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions

            MicroRNAs (miRNAs) are small non-coding RNA molecules capable of negatively regulating gene expression to control many cellular mechanisms. The miRTarBase database (http://mirtarbase.mbc.nctu.edu.tw/) provides the most current and comprehensive information of experimentally validated miRNA-target interactions. The database was launched in 2010 with data sources for >100 published studies in the identification of miRNA targets, molecular networks of miRNA targets and systems biology, and the current release (2013, version 4) includes significant expansions and enhancements over the initial release (2010, version 1). This article reports the current status of and recent improvements to the database, including (i) a 14-fold increase to miRNA-target interaction entries, (ii) a miRNA-target network, (iii) expression profile of miRNA and its target gene, (iv) miRNA target-associated diseases and (v) additional utilities including an upgrade reminder and an error reporting/user feedback system.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Weighted gene coexpression network analysis: state of the art.

              Weighted gene coexpression network analysis (WGCNA) has been applied to many important studies since its introduction in 2005. WGCNA can be used as a data exploratory tool or as a gene screening method; WGCNA can also be used as a tool to generate testable hypothesis for validation in independent data sets. In this article, we review key concepts of WGCNA and some of its applications in gene expression analysis of oncology, brain function, and protein interaction data.
                Bookmark

                Author and article information

                Journal
                Onco Targets Ther
                Onco Targets Ther
                OncoTargets and Therapy
                OncoTargets and therapy
                Dove Medical Press
                1178-6930
                2017
                14 August 2017
                : 10
                : 4037-4050
                Affiliations
                [1 ]Department of Urology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou
                [2 ]College of Traditional Chinese Medicine of Jinan University, Institute of Integrated Traditional Chinese and Western Medicine of Jinan University, Guangzhou
                [3 ]Department of Nephrology, The Second Affiliated Hospital of Hainan Medical College, Hainan
                [4 ]Department of Neurosurgery, The Second Affiliated Hospital of Lanzhou University, Lanzhou
                [5 ]Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou
                [6 ]Department of General Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi, People’s Republic of China
                Author notes
                Correspondence: Xinghua Zhao; Chuiguo Huang, Department of Urology, The Second Affiliated Hospital of Zhengzhou University, Jingba Road, Zhengzhou 450014, Henan Province, People’s Republic of China, Email xhzhao2006@ 123456163.com ; huangcg0727@ 123456163.com
                [*]

                These authors contributed equally to this work

                Article
                ott-10-4037
                10.2147/OTT.S141951
                5565391
                6f7d5b36-3fc2-4221-b865-0525a70ba0ba
                © 2017 Huang et al. 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.

                History
                Categories
                Original Research

                Oncology & Radiotherapy
                papillary renal cell carcinoma,the cancer genome atlas,weighted gene co-expression network analysis,long noncoding rna,competing endogenous rna network,survival prognosis

                Comments

                Comment on this article