RNF43 Is Frequently Mutated in Colorectal and Endometrial Cancers
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Mutational Landscape Differences Between Young-Onset and Older-Onset Breast Cancer Patients Nicole E
Mealey et al. BMC Cancer (2020) 20:212 https://doi.org/10.1186/s12885-020-6684-z RESEARCH ARTICLE Open Access Mutational landscape differences between young-onset and older-onset breast cancer patients Nicole E. Mealey1 , Dylan E. O’Sullivan2 , Joy Pader3 , Yibing Ruan3 , Edwin Wang4 , May Lynn Quan1,5,6 and Darren R. Brenner1,3,5* Abstract Background: The incidence of breast cancer among young women (aged ≤40 years) has increased in North America and Europe. Fewer than 10% of cases among young women are attributable to inherited BRCA1 or BRCA2 mutations, suggesting an important role for somatic mutations. This study investigated genomic differences between young- and older-onset breast tumours. Methods: In this study we characterized the mutational landscape of 89 young-onset breast tumours (≤40 years) and examined differences with 949 older-onset tumours (> 40 years) using data from The Cancer Genome Atlas. We examined mutated genes, mutational load, and types of mutations. We used complementary R packages “deconstructSigs” and “SomaticSignatures” to extract mutational signatures. A recursively partitioned mixture model was used to identify whether combinations of mutational signatures were related to age of onset. Results: Older patients had a higher proportion of mutations in PIK3CA, CDH1, and MAP3K1 genes, while young- onset patients had a higher proportion of mutations in GATA3 and CTNNB1. Mutational load was lower for young- onset tumours, and a higher proportion of these mutations were C > A mutations, but a lower proportion were C > T mutations compared to older-onset tumours. The most common mutational signatures identified in both age groups were signatures 1 and 3 from the COSMIC database. -
Ncomms3787.Pdf
ARTICLE Received 6 Aug 2013 | Accepted 17 Oct 2013 | Published 14 Nov 2013 DOI: 10.1038/ncomms3787 OPEN Structural and molecular basis of ZNRF3/RNF43 transmembrane ubiquitin ligase inhibition by the Wnt agonist R-spondin Matthias Zebisch1, Yang Xu2,3, Christos Krastev1, Bryan T. MacDonald2, Maorong Chen2, Robert J.C. Gilbert1,XiHe2 & E. Yvonne Jones1 The four R-spondin (Rspo) proteins are secreted agonists of Wnt signalling in vertebrates, functioning in embryogenesis and adult stem cell biology. Through ubiquitination and degradation of Wnt receptors, the transmembrane E3 ubiquitin ligase ZNRF3 and related RNF43 antagonize Wnt signalling. Rspo ligands have been reported to inhibit the ligase activity through direct interaction with ZNRF3 and RNF43. Here we report multiple crystal structures of the ZNRF3 ectodomain (ZNRF3ecto), a signalling-competent Furin1–Furin2 (Fu1–Fu2) fragment of Rspo2 (Rspo2Fu1–Fu2), and Rspo2Fu1–Fu2 in complex with ZNRF3ecto,or RNF43ecto. A prominent loop in Fu1 clamps into equivalent grooves in the ZNRF3ecto and RNF43ecto surface. Rspo binding enhances dimerization of ZNRF3ecto but not of RNF43ecto. Comparison of the four Rspo proteins, mutants and chimeras in biophysical and cellular assays shows that their signalling potency depends on their ability to recruit ZNRF3 or RNF43 via Fu1 into a complex with LGR receptors, which interact with Rspo via Fu2. 1 Division of Structural Biology, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. 2 F.M. Kirby Neurobiology Center, Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. 3 Key Laboratory for Molecular Enzymology and Engineering of Ministry of Education, College of Life Science, Jilin University, Changchun 130012, China. -
Downloaded Per Proteome Cohort Via the Web- Site Links of Table 1, Also Providing Information on the Deposited Spectral Datasets
www.nature.com/scientificreports OPEN Assessment of a complete and classifed platelet proteome from genome‑wide transcripts of human platelets and megakaryocytes covering platelet functions Jingnan Huang1,2*, Frauke Swieringa1,2,9, Fiorella A. Solari2,9, Isabella Provenzale1, Luigi Grassi3, Ilaria De Simone1, Constance C. F. M. J. Baaten1,4, Rachel Cavill5, Albert Sickmann2,6,7,9, Mattia Frontini3,8,9 & Johan W. M. Heemskerk1,9* Novel platelet and megakaryocyte transcriptome analysis allows prediction of the full or theoretical proteome of a representative human platelet. Here, we integrated the established platelet proteomes from six cohorts of healthy subjects, encompassing 5.2 k proteins, with two novel genome‑wide transcriptomes (57.8 k mRNAs). For 14.8 k protein‑coding transcripts, we assigned the proteins to 21 UniProt‑based classes, based on their preferential intracellular localization and presumed function. This classifed transcriptome‑proteome profle of platelets revealed: (i) Absence of 37.2 k genome‑ wide transcripts. (ii) High quantitative similarity of platelet and megakaryocyte transcriptomes (R = 0.75) for 14.8 k protein‑coding genes, but not for 3.8 k RNA genes or 1.9 k pseudogenes (R = 0.43–0.54), suggesting redistribution of mRNAs upon platelet shedding from megakaryocytes. (iii) Copy numbers of 3.5 k proteins that were restricted in size by the corresponding transcript levels (iv) Near complete coverage of identifed proteins in the relevant transcriptome (log2fpkm > 0.20) except for plasma‑derived secretory proteins, pointing to adhesion and uptake of such proteins. (v) Underrepresentation in the identifed proteome of nuclear‑related, membrane and signaling proteins, as well proteins with low‑level transcripts. -
Multi Gene Mutation Signatures in Colorectal Cancer
Zhuang et al. BMC Cancer (2021) 21:380 https://doi.org/10.1186/s12885-021-08108-9 RESEARCH ARTICLE Open Access Multi gene mutation signatures in colorectal cancer patients: predict for the diagnosis, pathological classification, staging and prognosis Yan Zhuang1†, Hailong Wang2†, Da Jiang3, Ying Li3, Lixia Feng4, Caijuan Tian5, Mingyu Pu5, Xiaowei Wang6, Jiangyan Zhang6, Yuanjing Hu7* and Pengfei Liu2* Abstract Background: Identifying gene mutation signatures will enable a better understanding for the occurrence and development of colorectal cancer (CRC), and provide some potential biomarkers for clinical practice. Currently, however, there is still few effective biomarkers for early diagnosis and prognostic judgment in CRC patients. The purpose was to identify novel mutation signatures for the diagnosis and prognosis of CRC. Methods: Clinical information of 531 CRC patients and their sequencing data were downloaded from TCGA database (training group), and 53 clinical patients were collected and sequenced with targeted next generation sequencing (NGS) technology (validation group). The relationship between the mutation genes and the diagnosis, pathological type, stage and prognosis of CRC were compared to construct signatures for CRC, and then analyzed their relationship with RNA expression, immunocyte infiltration and tumor microenvironment (TME). (Continued on next page) * Correspondence: [email protected]; [email protected] †Yan Zhuang and Hailong Wang contributed equally to this work. 7Department of Gynecological Oncology, Tianjin Central Hospital of Obstetrics & Gynecology, No. 156 Nankai Third Road, Nankai District, Tianjin 300100, China 2Department of Oncology, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, No.354 Beima Road, Hongqiao District, Tianjin 300120, China Full list of author information is available at the end of the article © The Author(s). -
Inactivating Mutations of RNF43 Confer Wnt Dependency in Pancreatic Ductal Adenocarcinoma
Inactivating mutations of RNF43 confer Wnt dependency in pancreatic ductal adenocarcinoma Xiaomo Jianga,1, Huai-Xiang Haoa,1, Joseph D. Growneyb, Steve Woolfendenb, Cindy Bottigliob, Nicholas Ngc,BoLua, Mindy H. Hsiehc, Linda Bagdasarianb, Ronald Meyerb, Timothy R. Smithc, Monika Avelloa, Olga Charlata, Yang Xiea, Jeffery A. Portera, Shifeng Panc, Jun Liuc, Margaret E. McLaughlinb, and Feng Conga,2 aDevelopmental and Molecular Pathways, Novartis Institutes for Biomedical Research, Cambridge, MA 02139; bOncology Translational Medicine, Novartis Pharma, Cambridge, MA 02139; and cGenomics Institute of Novartis Research Foundation, San Diego, CA 92121 Edited by Jeremy Nathans, Johns Hopkins University, Baltimore, MD, and approved May 31, 2013 (received for review April 16, 2013) A growing number of agents targeting ligand-induced Wnt/β-cat- including LRP6 antibody (9, 10), Frizzled antibody (11), and Por- enin signaling are being developed for cancer therapy. However, cupine inhibitor (12), are being developed. However, it is chal- clinical development of these molecules is challenging because of lenging to develop therapeutic agents without a defined patient the lack of a genetic strategy to identify human tumors dependent population, and we do not have enough knowledge about human on ligand-induced Wnt/β-catenin signaling. Ubiquitin E3 ligase tumors dependent on ligand-induced Wnt/β-catenin signaling. ring finger 43 (RNF43) has been suggested as a negative regulator We have shown that transmembrane E3 ubiqutin ligase ZNRF3 of Wnt signaling, and mutations of RNF43 have been identified in negatively regulates Wnt/β-catenin signaling through promoting various tumors, including cystic pancreatic tumors. However, loss the degradation of Frizzled, and the activity of ZNRF3 is inhibited of function study of RNF43 in cell culture has not been conducted, by R-spondin proteins (13). -
Molecular Role of RNF43 in Canonical and Noncanonical Wnt Signaling
Title Molecular Role of RNF43 in Canonical and Noncanonical Wnt Signaling Tsukiyama, Tadasuke; Fukui, Akimasa; Terai, Sayuri; Fujioka, Yoichiro; Shinada, Keisuke; Takahashi, Hidehisa; Author(s) Yamaguchi, Terry P.; Ohba, Yusuke; Hatakeyama, Shigetsugu Molecular and cellular biology, 35(11), 2007-2023 Citation https://doi.org/10.1128/MCB.00159-15 Issue Date 2015-06 Doc URL http://hdl.handle.net/2115/60266 Type article (author version) File Information R43_MCB_Hatakeyama.pdf Instructions for use Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP Molecular role of RNF43 in canonical and noncanonical Wnt signaling Tadasuke Tsukiyamaa, Akimasa Fukuib, Sayuri Teraia, Yoichiro Fujiokac, Keisuke Shinadaa, Hidehisa Takahashia, Terry P. Yamaguchid, Yusuke Ohbac, and Shigetsugu Hatakeyamaa Department of Biochemistry, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japana; Laboratory of Tissue and Polymer Sciences, Division of Advanced Interdisciplinary Science, Faculty of Advanced Life Science, Hokkaido University, Sapporo, Hokkaido, Japanb; Department of Cell Physiology, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japanc; Cancer and Developmental Biology Laboratory, Center for Cancer Research, National Cancer Institute-Frederick, NIH, 1050 Boyles St., Bldg. 539, Rm. 218, Frederick, Maryland, USAd Running title: Molecular role of RNF43 in Wnt signaling #Address correspondence to Shigetsugu Hatakeyama, [email protected] Word count for the Materials and Methods section: 1,934 Combined word count for the Introduction, Results and Discussion sections: 4,680 1 ABSTRACT Wnt signaling pathways are tightly regulated by ubiquitination, and dysregulation of these pathways promotes tumorigenesis. It has been reported that the ubiquitin ligase RNF43 plays an important role in frizzled-dependent regulation of the Wnt/βcatenin pathway. -
RSPO2 Inhibition of RNF43 and ZNRF3 Governs Limb Development
LETTER https://doi.org/10.1038/s41586-018-0118-y RSPO2 inhibition of RNF43 and ZNRF3 governs limb development independently of LGR4/5/6 Emmanuelle Szenker-Ravi1,17, Umut Altunoglu2,17, Marc Leushacke1,17, Célia Bosso-Lefèvre1,3, Muznah Khatoo1, Hong Thi Tran4, Thomas Naert4, Rivka Noelanders4, Amin Hajamohideen1, Claire Beneteau5, Sergio B. de Sousa6,7, Birsen Karaman2, Xenia Latypova5, Seher Başaran2, Esra Börklü Yücel8, Thong Teck Tan1, Lena Vlaeminck4,16, Shalini S. Nayak9, Anju Shukla9, Katta Mohan Girisha9, Cédric Le Caignec5,10, Natalia Soshnikova11, Zehra Oya Uyguner2, Kris Vleminckx4*, Nick Barker1,12,13*, Hülya Kayserili2,8* & Bruno Reversade1,3,8,14,15* The four R-spondin secreted ligands (RSPO1–RSPO4) act via RSPO2 (Extended Data Fig. 1b) that affects a residue conserved in all their cognate LGR4, LGR5 and LGR6 receptors to amplify WNT R-spondin paralogues and homologues (Fig. 1c and Extended Data signalling1–3. Here we report an allelic series of recessive RSPO2 Fig. 2a). The analogous mutation p.Arg64Cys in RSPO4 was shown to mutations in humans that cause tetra-amelia syndrome, which is cause congenital anonchia15. The seven affected fetuses from families 2 characterized by lung aplasia and a total absence of the four limbs. to 5 presented with complete absence of four limbs, lung hypo/aplasia, Functional studies revealed impaired binding to the LGR4/5/6 cleft lip-palate, and labioscrotal fold aplasia, all characteristic of receptors and the RNF43 and ZNRF3 transmembrane ligases, and TETAMS (Fig. 1a, b, Extended Data Fig. 1a and Extended Data Table 1). reduced WNT potentiation, which correlated with allele severity. -
Lgr5-Mediated Restraint of Β-Catenin Is Essential for B-Lymphopoiesis and Leukemia-Initiation
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.12.989277; this version posted March 13, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Letter February 5, 2020 2020-02-01971B Lgr5-mediated restraint of β-catenin is essential for B-lymphopoiesis and leukemia-initiation Kadriye Nehir Cosgun1, Mark E. Robinson1, Gauri Deb1, Xin Yang2, Gang Xiao1, Teresa Sadras1, Jaewoong Lee1, Lai N. Chan1, Kohei Kume1, Maurizio Mangolini3, Janet Winchester1, Zhengshan Chen1, Lu Yang1, Huimin Geng2, Shai Izraeli1,4, Joo Song5, Wing-Chung Chan5, Andrew G. Polson6, Hassan Jumaa7, Hans Clevers8 & Markus Müschen1 1Department of Systems Biology, City of Hope Comprehensive Cancer Center, Monrovia, CA 91016 2Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA 94143 3Department of Haematology, Cambridge University, Cambridge, UK 4 Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel 5Department of Pathology, City of Hope Comprehensive Cancer Center, Duarte, CA 6Genentech, Inc., South San Francisco, CA 94080 7Institute for Immunology, University of Ulm, Ulm, Germany 89081 8Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Centre Utrecht, Utrecht, Netherlands For correspondence: Markus Müschen, MD-PhD E-mail: [email protected] Phone: +1-626-218-5171 Department of Systems Biology, City of Hope Comprehensive Cancer Center, 1218 South Fifth Ave, Monrovia, CA 91016 bioRxiv preprint doi: https://doi.org/10.1101/2020.03.12.989277; this version posted March 13, 2020. -
Simulation of Protein Dynamics for Mechanistic Insight and Drug Design
Simulation of protein dynamics for mechanistic insight and drug design A thesis submitted to The University of Manchester for the degree of Master of Philosophy in the Faculty of Biology, Medicine and Health 2019 YANG, Zhang School of Health Sciences/Division of Pharmacy List of contents List of figures ............................................................................................................................ 5 List of tables ........................................................................................................................... 14 List of abbreviations ............................................................................................................... 16 Abstract .................................................................................................................................. 18 Declaration ............................................................................................................................. 20 Copyright Statement .............................................................................................................. 21 Acknowledgements ................................................................................................................ 22 Introduction to protein dynamics in drug design .................................................................. 23 In silico design of anti-cancer compounds targeting R-spondin using molecular dynamics and free energy calculations ................................................................................................. -
RNF43 Is Frequently Mutated in Colorectal and Endometrial Cancers
RNF43 is frequently mutated in colorectal and endometrial cancers The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Giannakis, Marios et al. “RNF43 Is Frequently Mutated in Colorectal and Endometrial Cancers.” Nature Genetics 46, 12 (October 2014): 1264–1266 © 2014 Nature America, Inc As Published http://dx.doi.org/10.1038/NG.3127 Publisher Nature Publishing Group Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/116687 Terms of Use Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. NIH Public Access Author Manuscript Nat Genet. Author manuscript; available in PMC 2015 June 01. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Nat Genet. 2014 December ; 46(12): 1264–1266. doi:10.1038/ng.3127. RNF43 is frequently mutated in colorectal and endometrial cancers Marios Giannakis1,2,3,*, Eran Hodis1,3,4,5,*, Xinmeng Jasmine Mu1,3, Mai Yamauchi1, Joseph Rosenbluh1,3, Kristian Cibulskis3, Gordon Saksena3, Michael S. Lawrence3, ZhiRong Qian1, Reiko Nishihara1,6,7,8, Eliezer M. Van Allen1,2,3, William C. Hahn1,2,3, Stacey B. Gabriel3, Eric S. Lander3,9,10, Gad Getz3,11, Shuji Ogino1,6,12, Charles S. Fuchs1,13, and Levi A. Garraway1,2,3 1Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA 2Department of Medicine, Brigham -
High-Density Array Comparative Genomic Hybridization Detects Novel Copy Number Alterations in Gastric Adenocarcinoma
ANTICANCER RESEARCH 34: 6405-6416 (2014) High-density Array Comparative Genomic Hybridization Detects Novel Copy Number Alterations in Gastric Adenocarcinoma ALINE DAMASCENO SEABRA1,2*, TAÍSSA MAÍRA THOMAZ ARAÚJO1,2*, FERNANDO AUGUSTO RODRIGUES MELLO JUNIOR1,2, DIEGO DI FELIPE ÁVILA ALCÂNTARA1,2, AMANDA PAIVA DE BARROS1,2, PAULO PIMENTEL DE ASSUMPÇÃO2, RAQUEL CARVALHO MONTENEGRO1,2, ADRIANA COSTA GUIMARÃES1,2, SAMIA DEMACHKI2, ROMMEL MARIO RODRÍGUEZ BURBANO1,2 and ANDRÉ SALIM KHAYAT1,2 1Human Cytogenetics Laboratory and 2Oncology Research Center, Federal University of Pará, Belém Pará, Brazil Abstract. Aim: To investigate frequent quantitative alterations gastric cancer is the second most frequent cancer in men and of intestinal-type gastric adenocarcinoma. Materials and the third in women (4). The state of Pará has a high Methods: We analyzed genome-wide DNA copy numbers of 22 incidence of gastric adenocarcinoma and this disease is a samples and using CytoScan® HD Array. Results: We identified public health problem, since mortality rates are above the 22 gene alterations that to the best of our knowledge have not Brazilian average (5). been described for gastric cancer, including of v-erb-b2 avian This tumor can be classified into two histological types, erythroblastic leukemia viral oncogene homolog 4 (ERBB4), intestinal and diffuse, according to Laurén (4, 6, 7). The SRY (sex determining region Y)-box 6 (SOX6), regulator of intestinal type predominates in high-risk areas, such as telomere elongation helicase 1 (RTEL1) and UDP- Brazil, and arises from precursor lesions, whereas the diffuse Gal:betaGlcNAc beta 1,4- galactosyltransferase, polypeptide 5 type has a similar distribution in high- and low-risk areas and (B4GALT5). -
Table S1. 103 Ferroptosis-Related Genes Retrieved from the Genecards
Table S1. 103 ferroptosis-related genes retrieved from the GeneCards. Gene Symbol Description Category GPX4 Glutathione Peroxidase 4 Protein Coding AIFM2 Apoptosis Inducing Factor Mitochondria Associated 2 Protein Coding TP53 Tumor Protein P53 Protein Coding ACSL4 Acyl-CoA Synthetase Long Chain Family Member 4 Protein Coding SLC7A11 Solute Carrier Family 7 Member 11 Protein Coding VDAC2 Voltage Dependent Anion Channel 2 Protein Coding VDAC3 Voltage Dependent Anion Channel 3 Protein Coding ATG5 Autophagy Related 5 Protein Coding ATG7 Autophagy Related 7 Protein Coding NCOA4 Nuclear Receptor Coactivator 4 Protein Coding HMOX1 Heme Oxygenase 1 Protein Coding SLC3A2 Solute Carrier Family 3 Member 2 Protein Coding ALOX15 Arachidonate 15-Lipoxygenase Protein Coding BECN1 Beclin 1 Protein Coding PRKAA1 Protein Kinase AMP-Activated Catalytic Subunit Alpha 1 Protein Coding SAT1 Spermidine/Spermine N1-Acetyltransferase 1 Protein Coding NF2 Neurofibromin 2 Protein Coding YAP1 Yes1 Associated Transcriptional Regulator Protein Coding FTH1 Ferritin Heavy Chain 1 Protein Coding TF Transferrin Protein Coding TFRC Transferrin Receptor Protein Coding FTL Ferritin Light Chain Protein Coding CYBB Cytochrome B-245 Beta Chain Protein Coding GSS Glutathione Synthetase Protein Coding CP Ceruloplasmin Protein Coding PRNP Prion Protein Protein Coding SLC11A2 Solute Carrier Family 11 Member 2 Protein Coding SLC40A1 Solute Carrier Family 40 Member 1 Protein Coding STEAP3 STEAP3 Metalloreductase Protein Coding ACSL1 Acyl-CoA Synthetase Long Chain Family Member 1 Protein