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      Functional consequences of the first reported mutations of the proto-oncogene PTTG1IP/PBF

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          Abstract

          Pituitary tumor-transforming gene 1-binding factor (PTTG1IP; PBF) is a multifunctional glycoprotein, which is overexpressed in a wide range of tumours, and significantly associated with poorer oncological outcomes, such as early tumour recurrence, distant metastasis, extramural vascular invasion and decreased disease-specific survival. PBF transforms NIH 3T3 fibroblasts and induces tumours in nude mice, while mice harbouring transgenic thyroidal PBF expression show hyperplasia and macrofollicular lesions. Our assumption that PBF becomes an oncogene purely through increased expression has been challenged by the recent report of mutations in PBF within the Catalogue of Somatic Mutations in Cancer (COSMIC) database. We therefore sought to determine whether the first 10 PBF missense substitutions in human cancer might be oncogenic. Anisomycin half-life studies revealed that most mutations were associated with reduced protein stability compared to wild-type (WT) PBF. Proliferation assays narrowed our interest to two mutational events which significantly altered cell turnover: C51R and R140W. C51R was mainly confined to the endoplasmic reticulum while R140W was apparent in the Golgi apparatus. Both C51R and R140W lost the capacity to induce cellular migration and significantly reduced cell invasion. Colony formation and soft agar assays demonstrated that, in contrast to WT PBF, both mutants were unable to elicit significant colony formation or anchorage-independent growth. However, C51R and R140W retained the ability to repress radioiodide uptake, a functional hallmark of PBF. Our data reveal new insight into PBF function and confirm that, rather than being oncogenic, mutations in PBF are likely to be passenger effects, with overexpression of PBF the more important aetiological event in human cancer.

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          Most cited references11

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          Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.

          The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics.
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            Patterns of somatic mutation in human cancer genomes.

            Cancers arise owing to mutations in a subset of genes that confer growth advantage. The availability of the human genome sequence led us to propose that systematic resequencing of cancer genomes for mutations would lead to the discovery of many additional cancer genes. Here we report more than 1,000 somatic mutations found in 274 megabases (Mb) of DNA corresponding to the coding exons of 518 protein kinase genes in 210 diverse human cancers. There was substantial variation in the number and pattern of mutations in individual cancers reflecting different exposures, DNA repair defects and cellular origins. Most somatic mutations are likely to be 'passengers' that do not contribute to oncogenesis. However, there was evidence for 'driver' mutations contributing to the development of the cancers studied in approximately 120 genes. Systematic sequencing of cancer genomes therefore reveals the evolutionary diversity of cancers and implicates a larger repertoire of cancer genes than previously anticipated.
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              The Catalogue of Somatic Mutations in Cancer (COSMIC).

              COSMIC is currently the most comprehensive global resource for information on somatic mutations in human cancer, combining curation of the scientific literature with tumor resequencing data from the Cancer Genome Project at the Sanger Institute, U.K. Almost 4800 genes and 250000 tumors have been examined, resulting in over 50000 mutations available for investigation. This information can be accessed in a number of ways, the most convenient being the Web-based system which allows detailed data mining, presenting the results in easily interpretable formats. This unit describes the graphical system in detail, elaborating an example walkthrough and the many ways that the resulting information can be thoroughly investigated by combining data, respecializing the query, or viewing the results in different ways. Alternate protocols overview the available precompiled data files available for download. Copyright 2008 by John Wiley & Sons, Inc.

                Author and article information

                Journal
                Endocr Relat Cancer
                Endocr. Relat. Cancer
                ERC
                Endocrine-Related Cancer
                Bioscientifica Ltd (Bristol )
                1351-0088
                1479-6821
                September 2017
                04 July 2017
                : 24
                : 9
                : 459-474
                Affiliations
                [1 ]Institute of Metabolism and Systems Research University of Birmingham, Birmingham, UK
                [2 ]Centre for Endocrinology Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK
                [3 ]Department of Surgery Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
                [4 ]Institute of Cancer and Genomic Sciences University of Birmingham, Birmingham, UK
                Author notes
                Correspondence should be addressed to C J McCabe; Email: mccabcjz@ 123456bham.ac.uk
                [*]

                (V E Smith and C J McCabe contributed equally to this work)

                Article
                ERC160340
                10.1530/ERC-16-0340
                5551380
                28676500
                2359c014-0cce-4b52-9427-8b3e02ff21b3
                © 2017 The authors

                This work is licensed under a Creative Commons Attribution 3.0 Unported License.

                History
                : 28 June 2017
                : 3 July 2017
                Categories
                Research

                Oncology & Radiotherapy
                cosmic,tcga,pttg1ip,mutation,proliferation
                Oncology & Radiotherapy
                cosmic, tcga, pttg1ip, mutation, proliferation

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