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      NCYM, a Cis-Antisense Gene of MYCN, Encodes a De Novo Evolved Protein That Inhibits GSK3β Resulting in the Stabilization of MYCN in Human Neuroblastomas

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          Abstract

          The rearrangement of pre-existing genes has long been thought of as the major mode of new gene generation. Recently, de novo gene birth from non-genic DNA was found to be an alternative mechanism to generate novel protein-coding genes. However, its functional role in human disease remains largely unknown. Here we show that NCYM, a cis-antisense gene of the MYCN oncogene, initially thought to be a large non-coding RNA, encodes a de novo evolved protein regulating the pathogenesis of human cancers, particularly neuroblastoma. The NCYM gene is evolutionally conserved only in the taxonomic group containing humans and chimpanzees. In primary human neuroblastomas, NCYM is 100% co-amplified and co-expressed with MYCN, and NCYM mRNA expression is associated with poor clinical outcome. MYCN directly transactivates both NCYM and MYCN mRNA, whereas NCYM stabilizes MYCN protein by inhibiting the activity of GSK3β, a kinase that promotes MYCN degradation. In contrast to MYCN transgenic mice, neuroblastomas in MYCN/NCYM double transgenic mice were frequently accompanied by distant metastases, behavior reminiscent of human neuroblastomas with MYCN amplification. The NCYM protein also interacts with GSK3β, thereby stabilizing the MYCN protein in the tumors of the MYCN/ NCYM double transgenic mice. Thus, these results suggest that GSK3β inhibition by NCYM stabilizes the MYCN protein both in vitro and in vivo. Furthermore, the survival of MYCN transgenic mice bearing neuroblastoma was improved by treatment with NVP-BEZ235, a dual PI3K/mTOR inhibitor shown to destabilize MYCN via GSK3β activation. In contrast, tumors caused in MYCN/NCYM double transgenic mice showed chemo-resistance to the drug. Collectively, our results show that NCYM is the first de novo evolved protein known to act as an oncopromoting factor in human cancer, and suggest that de novo evolved proteins may functionally characterize human disease.

          Author Summary

          The MYCN oncogene has a central role in the genesis and progression of neuroblastomas, and its amplification is associated with an unfavorable prognosis. We have found that NCYM, a MYCN cis-antisense RNA, is translated in humans to a de novo evolved protein. NCYM inhibits GSK3β to stabilize MYCN, whereas MYCN induces NCYM transcription. The positive feedback regulation formed in the MYCN/NCYM-amplified tumors promotes the aggressive nature of human neuroblastoma. MYCN transgenic mice, which express human MYCN in sympathoadrenal tissues, spontaneously develop neuroblastomas. However, unlike human neuroblastoma, distant metastasis is infrequent. We established MYCN/ NCYM double transgenic mice as a new animal model for studying neuroblastoma pathogenesis. We found that NCYM expression promoted both the metastasis and chemo-resistance of the neuroblastomas formed in the double transgenic mice. These results demonstrate that NCYM may be a potential target for developing novel therapeutic tools against high-risk neuroblastomas in humans, and that the MYCN/ NCYM double transgenic mouse may be a suitable model for the screening of these new drugs.

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          Most cited references35

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          KaKs_Calculator 2.0: A Toolkit Incorporating Gamma-Series Methods and Sliding Window Strategies

          We present an integrated stand-alone software package named KaKs_Calculator 2.0 as an updated version. It incorporates 17 methods for the calculation of nonsynonymous and synonymous substitution rates; among them, we added our modified versions of several widely used methods as the gamma series including γ-NG, γ-LWL, γ-MLWL, γ-LPB, γ-MLPB, γ-YN and γ-MYN, which have been demonstrated to perform better under certain conditions than their original forms and are not implemented in the previous version. The package is readily used for the identification of positively selected sites based on a sliding window across the sequences of interests in 5’ to 3’ direction of protein-coding sequences, and have improved the overall performance on sequence analysis for evolution studies. A toolbox, including C++ and Java source code and executable files on both Windows and Linux platforms together with a user instruction, is downloadable from the website for academic purpose at https://sourceforge.net/projects/kakscalculator2/.
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            Origins, evolution, and phenotypic impact of new genes.

            Ever since the pre-molecular era, the birth of new genes with novel functions has been considered to be a major contributor to adaptive evolutionary innovation. Here, I review the origin and evolution of new genes and their functions in eukaryotes, an area of research that has made rapid progress in the past decade thanks to the genomics revolution. Indeed, recent work has provided initial whole-genome views of the different types of new genes for a large number of different organisms. The array of mechanisms underlying the origin of new genes is compelling, extending way beyond the traditionally well-studied source of gene duplication. Thus, it was shown that novel genes also regularly arose from messenger RNAs of ancestral genes, protein-coding genes metamorphosed into new RNA genes, genomic parasites were co-opted as new genes, and that both protein and RNA genes were composed from scratch (i.e., from previously nonfunctional sequences). These mechanisms then also contributed to the formation of numerous novel chimeric gene structures. Detailed functional investigations uncovered different evolutionary pathways that led to the emergence of novel functions from these newly minted sequences and, with respect to animals, attributed a potentially important role to one specific tissue--the testis--in the process of gene birth. Remarkably, these studies also demonstrated that novel genes of the various types significantly impacted the evolution of cellular, physiological, morphological, behavioral, and reproductive phenotypic traits. Consequently, it is now firmly established that new genes have indeed been major contributors to the origin of adaptive evolutionary novelties.
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              Evolution and tinkering.

              F Jacob (1977)
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                January 2014
                January 2014
                2 January 2014
                : 10
                : 1
                : e1003996
                Affiliations
                [1 ]Division of Biochemistry and Innovative Cancer Therapeutics and Children's Cancer Research Center, Chiba Cancer Center Research Institute, 666-2 Nitona, Chuo-ku, Chiba, Japan
                [2 ]Division of Cancer Genomics, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, Japan
                [3 ]Department of Diagnostic Pathology, Research Institute, Kanagawa Children's Medical Center, 2-138-4 Mutsukawa, Minami-ku, Yokohama, Japan
                [4 ]Division of Surgical Pathology, Chiba Cancer Center, 666-2 Nitona, Chuo-ku, Chiba, Japan
                [5 ]Department of Pediatric Surgery, Graduate School of Medicine, Tohoku University, Sendai, Japan
                [6 ]Laboratory of Cancer Genomics, Chiba Cancer Center Research Institute, 666-2 Nitona, Chuo-ku, Chiba, Japan
                Universität Würzburg, Germany
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: YS AN. Performed the experiments: YS SMRI JA YK MK YT HK SHo WS MO SHa AT. Analyzed the data: YS MK YT HK SHo MI TS MO SHa AT AN. Contributed reagents/materials/analysis tools: DM MY YN. Wrote the paper: YS AN.

                [¤a]

                Current address: Department of Integrative Physiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, Japan.

                [¤b]

                Current address: Animal Breeding and Reproduction Division, NARO Institute of Livestock and Grassland Science, 2 Ikenodai, Tsukuba, Japan.

                Article
                PGENETICS-D-13-01041
                10.1371/journal.pgen.1003996
                3879166
                24391509
                324754c7-d1e4-4049-859f-25080e1359c0
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 April 2013
                : 18 October 2013
                Page count
                Pages: 14
                Funding
                This work was supported in part by a Grant-in-Aid from the Ministry of Health, Labour and Welfare for the Third Term Comprehensive Control Research for Cancer, Japan (AN), a Grant-in-Aid for Scientific Research on Priority Areas (JSPS KAKENHI Grant Number 17015046) (AN), a Grant-in-Aid for Scientific Research (A) (JSPS KAKENHI Grant Number 24249061) (AN), a Grant-in-Aid for Research Activity start-up (JSPS KAKENHI Grant Number 22890241) (YS) and a Grant-in-Aid for Young Scientists (B) (JSPS KAKENHI Grant Number 24700957) (YS) from the Japan Society for the Promotion of Science (JSPS), a Global COE program (Global Center for Education and Research in Immune System Regulation and Treatment), Graduate School of Medicine, Chiba University (AN and YS), Takeda Science Foundation (AN), and National Cancer Center Research and Development Fund (23-A-8) (TS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
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                Biology
                Biochemistry
                Computational Biology
                Genomics
                Comparative Genomics
                Genome Databases
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                Gene Expression
                Microarrays
                Evolutionary Biology
                Evolutionary Processes
                Natural Selection
                Evolutionary Genetics
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                Molecular Genetics
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                Gene Regulation
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                Genetics of Disease
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