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      Clinical characteristics and prognostic value of MEX3A mRNA in liver cancer

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          Abstract

          Background

          MEX3A is an RNA-binding proteins (RBPs) that promotes the proliferation, invasion, migration and viability of cancer cells. The aim of this study was to explore the clinicopathological characteristics and prognostic significance of MEX3A mRNA expression in liver cancer.

          Methods

          RNA-Seq and clinical data were collected from The Cancer Genome Atlas (TCGA). Boxplots were used to represent discrete variables of MEX3A. Chi-square tests were used to analyze the correlation between clinical features and MEX3A expression. Receiver operating characteristic (ROC) curves were used to confirm diagnostic ability. Independent prognostic ability and values were assessed using Kaplan–Meier curves and Cox analysis.

          Results

          We acquired MEX3A RNA-Seq from 50 normal liver tissues and 373 liver cancer patients along with clinical data. We found that MEX3A was up-regulated in liver cancer which increased according to histological grade ( p < 0.001). MEX3A showed moderate diagnostic ability for liver cancer (AUC = 0.837). Kaplan–Meier curves and Cox analysis revealed that the high expression of MEX3A was significantly associated with poor survival (OS and RFS) ( p < 0.001). Moreover, MEX3A was identified as an independent prognostic factor of liver cancer ( p < 0.001).

          Conclusions

          MEX3A expression shows promise as an independent predictor of liver cancer prognosis.

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          Most cited references25

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          From birth to death: the complex lives of eukaryotic mRNAs.

          Melissa Moore (2005)
          Recent work indicates that the posttranscriptional control of eukaryotic gene expression is much more elaborate and extensive than previously thought, with essentially every step of messenger RNA (mRNA) metabolism being subject to regulation in an mRNA-specific manner. Thus, a comprehensive understanding of eukaryotic gene expression requires an appreciation for how the lives of mRNAs are influenced by a wide array of diverse regulatory mechanisms.
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            Cytoplasmic foci are sites of mRNA decay in human cells

            Nicolas Cougot, Sylvie Babajko, Bertrand Seraphin (2004)
            Understanding gene expression control requires defining the molecular and cellular basis of mRNA turnover. We have previously shown that the human decapping factors hDcp2 and hDcp1a are concentrated in specific cytoplasmic structures. Here, we show that hCcr4, hDcp1b, hLsm, and rck/p54 proteins related to 5′–3′ mRNA decay also localize to these structures, whereas DcpS, which is involved in cap nucleotide catabolism, is nuclear. Functional analysis using fluorescence resonance energy transfer revealed that hDcp1a and hDcp2 interact in vivo in these structures that were shown to differ from the previously described stress granules. Our data indicate that these new structures are dynamic, as they disappear when mRNA breakdown is abolished by treatment with inhibitors. Accumulation of poly(A)+ RNA in these structures, after RNAi-mediated inactivation of the Xrn1 exonuclease, demonstrates that they represent active mRNA decay sites. The occurrence of 5′–3′ mRNA decay in specific subcellular locations in human cells suggests that the cytoplasm of eukaryotic cells may be more organized than previously anticipated.
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              A phosphorylated cytoplasmic autoantigen, GW182, associates with a unique population of human mRNAs within novel cytoplasmic speckles.

              T Eystathioy, Scott Tenenbaum, Jeffrey K Griffith … (2002)
              A novel human cellular structure has been identified that contains a unique autoimmune antigen and multiple messenger RNAs. This complex was discovered using an autoimmune serum from a patient with motor and sensory neuropathy and contains a protein of 182 kDa. The gene and cDNA encoding the protein indicated an open reading frame with glycine-tryptophan (GW) repeats and a single RNA recognition motif. Both the patient's serum and a rabbit serum raised against the recombinant GW protein costained discrete cytoplasmic speckles designated as GW bodies (GWBs) that do not overlap with the Golgi complex, endosomes, lysosomes, or peroxisomes. The mRNAs associated with GW182 represent a clustered set of transcripts that are presumed to reside within the GW complexes. We propose that the GW ribonucleoprotein complex is involved in the posttranscriptional regulation of gene expression by sequestering a specific subset of gene transcripts involved in cell growth and homeostasis.
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                Author and article information

                Contributors
                Yan Jiao
                Xuedong Fang
                Journal
                Journal ID (nlm-ta): PeerJ
                Journal ID (iso-abbrev): PeerJ
                Journal ID (publisher-id): peerj
                Journal ID (pmc): peerj
                Title: PeerJ
                Publisher: PeerJ Inc. (San Diego, USA )
                ISSN (Electronic): 2167-8359
                Publication date (Electronic): 21 January 2020
                Publication date Collection: 2020
                Volume: 8
                Electronic Location Identifier: e8252
                Affiliations
                [1 ]Department of Gastrointestinal Colorectal and Anal Surgery, China-Japan Union Hospital of Jilin University , Changchun, Jilin, China
                [2 ]Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University , Changchun, Jilin, China
                [3 ]Department of Pathophysiology, College of Basic Medical Sciences, Jilin University , Changchun, Jilin, China
                Article
                Publisher ID: 8252
                DOI: 10.7717/peerj.8252
                PMC ID: 6979405
                PubMed ID: 31998552
                SO-VID: caf4a3af-4f09-4ba0-8524-f79d18fa19a4
                Copyright © ©2020 Yang et al.
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                Date received : 9 August 2019
                Date accepted : 20 November 2019
                Funding
                The authors received no funding for this work.
                Categories
                Subject: Bioinformatics
                Subject: Molecular Biology
                Subject: Oncology
                Subject: Data Mining and Machine Learning
                Subject: Data Science

                Keywords: mex3a,liver cancer,prognosis,rna-binding proteins,the cancer genome atlas
                Data availability:
                Keywords: mex3a, liver cancer, prognosis, rna-binding proteins, the cancer genome atlas

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