Oncogenomics

Total Page:16

File Type:pdf, Size:1020Kb

Oncogenomics Oncogene (2002) 21, 7901 – 7911 ª 2002 Nature Publishing Group All rights reserved 0950 – 9232/02 $25.00 www.nature.com/onc Groups of p53 target genes involved in specific p53 downstream effects cluster into different classes of DNA binding sites Hua Qian1,4, Ting Wang1, Louie Naumovski2, Charles D Lopez3 and Rainer K Brachmann*,1,5 1Division of Oncology, Department of Medicine, Washington University School of Medicine, 660 S Euclid Avenue, Box 8069, St Louis, Missouri, MO 63110, USA; 2Division of Hematology, Oncology and Stem Cell Transplantation, Stanford University, 269 Campus Drive, CCSR Room 1215, Stanford, California, CA 94305, USA; 3Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health Sciences University, 3181 SW Sam Jackson Park Road, Baird Hall Room 3030, Portland, Oregon, OR 97201, USA The tumor suppressor protein p53, once activated, can and/or apoptosis (Prives and Hall, 1999; Vogelstein et cause either cell cycle arrest or apoptosis through al., 2000). Direct target genes of p53 have one or more transactivation of target genes with p53 DNA binding p53 DNA binding site(s) (DBS) very similar to the p53 sites (DBS). To investigate the role of p53 DBS in the consensus DBS that consists of two copies of the 10 regulation of this profound, yet poorly understood base pair (bp) motif 5’-PuPuPuC(A/T)(T/A)GPyPyPy- decision of life versus death, we systematically studied 3’ separated by 0 – 13 bp (el-Deiry et al., 1992; Funk et all known and potential p53 DBS. We analysed the DBS al., 1992). However, only one p53 DBS, Type IV separated from surrounding promoter regions in yeast Collagenase, is a perfect match for the p53 consensus and mammalian assays with and without DNA damage. DBS. There are over 60 genes with known or potential p53 efficiently utilized the DBS of MDM2 and of genes p53 DBS (see Tables 1 and 2). The biological activities connected to cell cycle arrest, DNA repair and the death of many are consistent with established p53 effects. For receptor pathway of apoptosis. However, p53 was unable example, the p21 and 14-3-3s genes are involved in to utilize two-thirds of the isolated DBS, a subset that p53-mediated G1 and G2 cell cycle arrest, respectively. included almost all DBS of apoptosis-related genes. The GADD45, p53R2 and PCNA genes have roles in Neither ASPP2, a p53-interacting protein reported to DNA repair, and the growing list of apoptosis-related specifically stimulate p53 transcriptional activity on genes includes Bax, Noxa, p53AIP1, PERP and PIG3. apoptosis-related promoters, nor DNA damage resulted Genes that are part of the death receptor pathway of in p53 utilization of isolated DBS of apoptosis-related apoptosis are also represented, such as Fas, KILLER/ genes. Thus, a major regulation of p53 activity occurs at DR5 and Pidd (Bates and Vousden, 1999; Hengartner, the level of p53 DBS themselves by posing additional 2000; Ko and Prives, 1996; Levine, 1997; Prives and requirements for the successful utilization of apoptosis- Hall, 1999; Rich et al., 2000; Sionov and Haupt, 1999; related DBS. Vogelstein et al., 2000; Vousden, 2000). In addition, Oncogene (2002) 21, 7901 – 7911. doi:10.1038/sj.onc. p53 induces MDM2, a target gene that creates a 1205974 negative feedback loop with p53 to maintain low p53 protein levels in unstressed cells (Haupt et al., 1997; Keywords: apoptosis; cell cycle; DNA binding site; Kubbutat et al., 1997; Prives, 1998). The role of many DNA repair; p53 other known or potential target genes in the p53 context remains poorly defined. For example, p53 may drive the transcription of growth-promoting genes, such as c-fos,c-met, Epidermal Growth Factor Receptor Introduction and Transforming Growth Factor-a (Elkeles et al., 1999; Ludes-Meyers et al., 1996; Seol et al., 1999; Shin et al., p53 exerts its tumor suppressor function, in part, as a 1995). ONCOGENOMICS transcription factor that induces effector genes once It is also still unclear why some cells respond to p53 activated by upstream signals, such as DNA damage. activation with cell cycle arrest, while others undergo Activated p53 results in DNA repair, cell cycle arrest apoptosis. Cell type, amount of DNA damage, the presence of survival factors and the inappropriate activity of oncogenes appear to be important, but what *Correspondence: RK Brachmann; E-mail: [email protected] exact underlying mechanisms govern the profound Current addresses: 4Department of Surgery, Xin Hua Hospital, decision of survival versus death after p53 activation Shanghai Second Medical University, 1665 Kong Jiang Road, remains unknown (Bates and Vousden, 1999; Sionov 5 Shanghai, 200092, PR China; Division of Hematology/Oncology, and Haupt, 1999; Vousden, 2000). Several models have Department of Medicine, University of California at Irvine, Medical Sciences I, C250, Irvine, California, CA 92697, USA been put forth. In the ‘p53 dumb’ model, activated p53 Received 22 April 2002; revised 12 August 2002; accepted 13 always leads to the same downstream signals, including August 2002 upregulated cell cycle arrest and apoptotis genes, and p53 and p53 DNA binding sites H Qian et al 7902 Table 1 Sequences of known and potential p53 DNA binding sites The shown sequences are the sequences used in our study. For genes with several p53 DNA binding sites (DBS), we tried to use the terminology of the original papers as much as possible. With a few exceptions, we used the actual p53 DBS plus 5 bp up- and downstream (if the information was available). The p53 consensus DBS (Nat Genet 1, 450) is shown on top (R=A or G; W=A or T; Y=C or T). Our alignment tries as much as possible to take previous alignments into consideration. Bold blue nucleotides in capitals conform to the p53 consensus DBS. Regular blue nucleotides in capitals are additional nucleotides that conform to motifs of the p53 consensus DBS. Bold green nucleotides represent a motif (TGCCT) that was proposed to be important for p53 binding (Science 252, 1708). Both c-fos and MDM2 have two complete p53 DBS, and we have aligned those to each other. References for the p53 DBS sequences can be found in Table 2. these signals are then modulated by other pathways. In genes (Vousden, 2000). ASPP1 and ASPP2 have been the ‘p53 smart’ model, increased p53 protein levels, characterized as p53 coactivators that specifically specific post-translational p53 modifications and/or the stimulate the apoptotic function of p53. They appear recruitment of specific coactivators determine the to do so by enhancing the DNA binding and expression levels of cell cycle arrest and apoptotis transcriptional activity of p53 at apoptosis-related Oncogene p53 and p53 DNA binding sites H Qian et al 7903 Table 2 Phenotypes for 67 p53 yeast assay The phenotypes at 308C and 378C were the same, except where indicated. ‘-’: no growth, ‘+’: minimal growth, ‘++’: moderate growth, ‘+++’: growth similar to p53 consensus DBS. All DBS are of human origin, except where indicated (amouse, brat). The ‘m2’ column indicates the mismatches with the p53 consensus DBS. Bold, shadowed numbers indicate that interspersed sequences between the two half-sites of p53 DBS are present. MDM2 and c-fos have two adjacent p53 DBS and the mismatches of each DBS are shown. Underlined, italic numbers point out the 5 p53 DBS that do not conform to our proposed rules for p53 DBS. References: 1Molecular Cell 1,3;2EMBO J 17, 5015; 3Nat Genet 14, 482; 4EMBO J 13, 4816; 5Oncogene 13, 1965; 6Cell 75, 817; 7Genes Dev 12, 2102; 8Proc Natl Acad Sci U S A 97, 109; 9J Biol Chem 275, 20127; 10J Biol Chem 269, 6383; 11Cell 71, 587; 12Nature 404, 42; 13Proc Natl Acad Sci U S A 93, 895; 14J Biol Chem 275, 3867; 15Oncogene 19, 1735; 16Nat Genet 26, 122; 17Cell 80, 293; 18Oncogene 16, 2177; 19Mol Cell Biol 20, 233; 20Nature 377, 646; 21Mol Cell Biol 20, 5602; 22Science 288, 1053; 23Cell 102, 849; 24Genes Dev 14, 704; 25Nature 389, 300; 26Oncogene 15, 2145; 27Hum Mol Genet 7, 1039; 28Genes Dev 7, 1126; 29Nucleic Acids Res 23, 2584; 30J Biol Chem 273, 15387; 31Oncogene 18, 127; 32Science 252, 1708; 33FEBS Lett 445, 265; 34Mol Cell Biol 17, 6330; 35J Biol Chem 275, 15557; 36Mol Cell Biol 19, 2594; 37J Biol Chem 274, 3565; 38Anticancer Res 16, 105; 39Oncogene 19, 1843; 40J Biol Chem 274, 37679; 41Blood 90, 1373; 42Mol Cell Biol 16, 6009; 43Cancer Res 60, 3722; 44J Biol Chem 274, 12061; 45Nucleic Acids Res 25, 983; 46Nat Med 1, 570; 47Proc Natl Acad Sci U S A 95, 11307; 48Cell Growth Differ 10, 295; 49J Biol Chem 275, 6051; 50Genes Dev 6, 1143; 51FEBS Lett 436, 139; 52Oncogene 16, 2479; 53Cancer Res 57, 3281; 54Nucleic Acids Res 23, 3710; 55J Biol Chem 271, 12414; 56Oncogene 16, 1299; 57Oncogene 18, 7740; 58Mol Cell Biol 15, 4694; 59Gene 193,5;60J Biol Chem 270, 19312; 61Carcinogenesis 17, 2559. p53 DBS for the following genes were published too late for our study: Apaf-1 (Nat Cell Biol 3, 552), APC (J Biol Chem 276, 18193), c-Ha-Ras (Oncogene 19, 5831), Caspase-1 (J Biol Chem 276, 10585), hMSH2 (J Biol Chem 276, 27363), p53DINP1 (Mol Cell 8, 85), PTEN (Mol Cell 8, 317) and PUMA (Mol Cell 7, 673; Mol Cell 7, 683) promoters (Lane, 2001; Samuels-Lev et al., 2001). regulatory mechanisms by providing more or less Thus, the activity of ASPP proteins would fit into the perfect binding sites for p53. Differences between p53 ‘p53 smart’ model (Vousden, 2000). In addition, DBS have been previously noted. For example, p53 genetic approaches in mice and chromatin immuno- cancer mutants were found to have differential DNA precipitation (ChIP) analysis have recently shown that binding properties and transcriptional activities when p53 requires its family members p73 and p63 to be tested with several p53 DBS (Campomenosi et al., present in order to bind to the promoters of and 2001; Di Como and Prives, 1998; Friedlander et al., transactivate apoptosis genes (Flores et al., 2002).
Recommended publications
  • Comparative Oncogenomics Identifies Tyrosine Kinase FES As a Tumor Suppressor in Melanoma
    RESEARCH ARTICLE The Journal of Clinical Investigation Comparative oncogenomics identifies tyrosine kinase FES as a tumor suppressor in melanoma Michael Olvedy,1,2 Julie C. Tisserand,3 Flavie Luciani,1,2 Bram Boeckx,4,5 Jasper Wouters,6,7 Sophie Lopez,3 Florian Rambow,1,2 Sara Aibar,6,7 Bernard Thienpont,4,5 Jasmine Barra,1,2 Corinna Köhler,1,2 Enrico Radaelli,8 Sophie Tartare-Deckert,9 Stein Aerts,6,7 Patrice Dubreuil,3 Joost J. van den Oord,10 Diether Lambrechts,4,5 Paulo De Sepulveda,3 and Jean-Christophe Marine1,2 1Laboratory for Molecular Cancer Biology, Center for Cancer Biology, Vlaams Instituut voor Biotechnologie (VIB), Leuven, Belgium. 2Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium. 3INSERM, Aix Marseille University, CNRS, Institut Paoli-Calmettes, CRCM, Equipe Labellisée Ligue Contre le Cancer, Marseille, France. 4Laboratory for Translational Genetics, Center for Cancer Biology, VIB, Leuven, Belgium. 5Laboratory for Translational Genetics, and 6Laboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven, Belgium. 7Laboratory of Computational Biology, and 8Mouse Histopathology Core Facility, VIB Center for Brain & Disease Research, Leuven, Belgium. 9Centre Méditerranéen de Médecine Moléculaire (C3M), INSERM, U1065, Université Côte d’Azur, Nice, France. 10Laboratory of Translational Cell and Tissue Research, Department of Pathology, KU Leuven and UZ Leuven, Leuven, Belgium. Identification and functional validation of oncogenic drivers are essential steps toward
    [Show full text]
  • Rare Variants in the DNA Repair Pathway and the Risk of Colorectal Cancer Marco Matejcic1, Hiba A
    Author Manuscript Published OnlineFirst on February 24, 2021; DOI: 10.1158/1055-9965.EPI-20-1457 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Rare variants in the DNA repair pathway and the risk of colorectal cancer Marco Matejcic1, Hiba A. Shaban1, Melanie W. Quintana2, Fredrick R. Schumacher3,4, Christopher K. Edlund5, Leah Naghi6, Rish K. Pai7, Robert W. Haile8, A. Joan Levine8, Daniel D. Buchanan9,10,11, Mark A. Jenkins12, Jane C. Figueiredo13, Gad Rennert14, Stephen B. Gruber15, Li Li16, Graham Casey17, David V. Conti18†, Stephanie L. Schmit1,19† † These authors contributed equally to this work. Affiliations 1 Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA 2 Berry Consultants, Austin, TX, 78746, USA 3 Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA 4 Seidman Cancer Center, University Hospitals, Cleveland, OH 44106, USA 5 Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA 6 Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, NY 10467, USA 7 Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ 85259, USA 8 Department of Medicine, Research Center for Health Equity, Cedars-Sinai Samuel Oschin Comprehensive Cancer Center, Los Angeles, CA 90048, USA 9 Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria 3010, Australia 10 Victorian Comprehensive Cancer Centre, University of Melbourne, Centre for Cancer Research, Parkville, Victoria 3010, Australia 1 Downloaded from cebp.aacrjournals.org on September 29, 2021.
    [Show full text]
  • A Sleeping Beauty Mutagenesis Screen Reveals a Tumor Suppressor
    A Sleeping Beauty mutagenesis screen reveals a tumor PNAS PLUS suppressor role for Ncoa2/Src-2 in liver cancer Kathryn A. O’Donnella,b,1,2, Vincent W. Kengc,d,e, Brian Yorkf, Erin L. Reinekef, Daekwan Seog, Danhua Fanc,h, Kevin A. T. Silversteinc,h, Christina T. Schruma,b, Wei Rose Xiea,b,3, Loris Mularonii,j, Sarah J. Wheelani,j, Michael S. Torbensonk, Bert W. O’Malleyf, David A. Largaespadac,d,e, and Jef D. Boekea,b,i,2 Departments of aMolecular Biology and Genetics, iOncology, jDivision of Biostatistics and Bioinformatics, and kPathology and bThe High Throughput Biology Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21205; cMasonic Cancer Center, dDepartment of Genetics, Cell Biology, and Development, eCenter for Genome Engineering, and hBiostatistics and Bioinformatics Core, University of Minnesota, Minneapolis, MN 55455; fDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030; and gLaboratory of Experimental Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892 Edited by Harold Varmus, National Cancer Institute, Bethesda, MD, and approved March 23, 2012 (received for review September 21, 2011) The Sleeping Beauty (SB) transposon mutagenesis system is a pow- alterations have been documented in liver cancer, the key genetic erful tool that facilitates the discovery of mutations that accelerate alterations that drive hepatocellular transformation remain tumorigenesis. In this study, we sought to identify mutations that poorly understood. Nevertheless, a unifying feature of human cooperate with MYC, one of the most commonly dysregulated HCC is amplification or overexpression of the MYC oncogene (8, genes in human malignancy.
    [Show full text]
  • Oncogenomics: Clinical Pathogenesis Approach
    International Journal of Genetics, ISSN: 0975–2862, Volume 1, Issue 2, 2009, pp-25-43 Oncogenomics: Clinical pathogenesis approach Gupta G. 1, Gupta N. 2, Trivedi S. 3, Patil P. 5, Gupta M. 2, Jhadav A. 4, Vamsi K.K.6, Khairnar Y. 4, Boraste A. 4, Mujapara A.K. 7, Joshi B.8 1S.D.S.M. College Palghar, Mumbai 2Sindhu Mahavidyalaya Panchpaoli Nagpur 3V.V.P. Engineering College, Rajkot, Gujrat 4Padmashree Dr. D.Y. Patil University, Navi Mumbai, 400614, India 5Dr. D. Y. Patil ACS College, Pimpri, Pune 6Rai foundations College CBD Belapur Navi Mumbai 7Sir PP Institute of Science, Bhavnagar 8Rural College of Pharmacy, D.S Road, Bevanahalli, Banglore Abstract - Oncogenomics is new research sub-field of genomics, which applies high throughput technologies to characterize genes associated with cancer and synonymous with cancer genomics. The goal of oncogenomics is to identify new oncogenes or tumor suppressor genes that may provide new insights into cancer diagnosis, predicting clinical outcome of cancers, and new targets for cancer therapies. Oncoproteomics is the term used to describe the application of proteomic technologies in oncology and parallels the related field of oncogenomics. It is now contributing to the development of personalized management of cancer. Genomics has generated a wealth of data that is now being used to identify additional molecular alterations associated with cancer development. Mapping these alterations in the cancer genome is a critical first step in dissecting oncological pathways. Keywords - Biomarkers, Drug development, Drug resistance, Gene therapy, Oncogenomics Introduction Oncogenomics applies high throughput technologies to characterize genes associated transducing cellular signals of cell growth or with cancer and is used to identify new death.
    [Show full text]
  • BRCA1, BRCA2 and Beyond: an Update on Hereditary Cancer Keynote Speaker and Basser Global Prize Awardee: Steven Narod, MD, FRCPC, FRSC
    5TH ANNUAL SCIENTIFIC SYMPOSIUM BRCA1, BRCA2 and Beyond: An Update on Hereditary Cancer Keynote Speaker and Basser Global Prize Awardee: Steven Narod, MD, FRCPC, FRSC THURSDAY, MAY 4, 2017 FRIDAY, MAY 5, 2017 Smilow Center for Translational Research Auditorium/Commons (enter through Perelman Center for Advanced Medicine) Program Overview This symposium is designed to educate researchers, scientists, and health care providers in cancer genetics by presenting cutting-edge data from renowned BRCA1/2 researchers. This symposium will provide new information on the basic biology of known cancer susceptibility genes. In addition, progress in cancer screening and prevention as well as ongoing work in targeted therapy for BRCA1/2 mutation carriers will be discussed through a series of lectures and panel discussions. Attendees will have the opportunity to network with colleagues working in the field. PROGRAM OBJECTIVES At the completion of this symposium, attendees should be able to: • Discuss new research on the basic biology of BRCA1 and BRCA2 and other homologous repair deficiency genes. • Describe the current clinical management strategies for individuals with genetic risk of breast, ovarian and pancreatic cancer. • Review new approaches to screening and prevention of hereditary breast and ovarian cancer. • Discuss new advances in cancer treatment for BRCA1/2 mutation carriers. WHO SHOULD ATTEND Healthcare providers including medical oncology, surgical oncology, gynecology oncology, ob-gyn, genetic counselors, primary care physicians and nurses/nurse practitioners who are interested in the genetics of BRCA1/2 related cancers. KEYNOTE SPEAKER AND BASSER GLOBAL PRIZE AWARDEE Steven Narod, MD, FRCPC, FRSC Women’s College Research Institute, University of Toronto Women with mutations in BRCA1 and BRCA2 have a high risk of breast or ovarian cancer.
    [Show full text]
  • Epigenetic Regulation (DNA Methylation, Histone Modifications
    Oncogene (2007) 26, 6566–6576 & 2007 Nature Publishing Group All rights reserved 0950-9232/07 $30.00 www.nature.com/onc ONCOGENOMICS Epigenetic regulation (DNA methylation, histone modifications) ofthe 11p15 mucin genes (MUC2, MUC5AC, MUC5B, MUC6) in epithelial cancer cells A Vincent, M Perrais, J-L Desseyn, J-P Aubert, P Pigny and I Van Seuningen Inserm, U560, Place de Verdun, Lille cedex, France The human genes MUC2, MUC5AC, MUC5B and Introduction MUC6 are clustered on chromosome 11 and encode large secreted gel-forming mucins. The frequent occurrence of DNA methylation, associated with histone deacetyla- their silencing in cancers and the GC-rich structure of tion, is a common mechanism used by cancer cells to their promoters led us to study the influence ofepigenetics inhibit the expression of tumour suppressor genes on their expression. Pre- and post-confluent cells were (Herman and Baylin, 2003) and genes involved in treated with demethylating agent 5-aza-20-deoxycytidine tumour formation (Momparler, 2003). Recent works and histone deacetylase (HDAC) inhibitor, trichostatin aimed at studying the importance of epigenetics in A. Mapping ofmethylated cytosines was performed by cancer opened the way to a host of innovative diagnostic bisulfite-treated genomic DNA sequencing. Histone modi- and therapeutic strategies, attesting that DNA methyla- fication status at the promoters was assessed by chromatin tion is a powerful tool in the clinic (Laird, 2003). Hence, immunoprecipitation assays. Our results indicate that discovery of new methylated genes in cancer will help MUC2 was regulated by site-specific DNA methylation both in the classification of tumours and the identifica- associated with establishment ofa repressive histone code, tion of genes influencing tumour progression.
    [Show full text]
  • Comparative Oncogenomics Identifies Novel Regulators and Clinical Relevance of Neural Crest Identities in Melanoma
    University of Massachusetts Medical School eScholarship@UMMS GSBS Dissertations and Theses Graduate School of Biomedical Sciences 2017-12-01 Comparative Oncogenomics Identifies Novel Regulators and Clinical Relevance of Neural Crest Identities in Melanoma Arvind M. Venkatesan University of Massachusetts Medical School Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/gsbs_diss Part of the Bioinformatics Commons, Cancer Biology Commons, Developmental Biology Commons, Genomics Commons, and the Integrative Biology Commons Repository Citation Venkatesan AM. (2017). Comparative Oncogenomics Identifies Novel Regulators and Clinical Relevance of Neural Crest Identities in Melanoma. GSBS Dissertations and Theses. https://doi.org/10.13028/ M20386. Retrieved from https://escholarship.umassmed.edu/gsbs_diss/939 This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in GSBS Dissertations and Theses by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. COMPARATIVE ONCOGENOMICS IDENTIFIES NOVEL REGULATORS AND CLINICAL RELEVANCE OF NEURAL CREST IDENTITIES IN MELANOMA A Dissertation Presented By Arvind Murali Venkatesan Submitted to the faculty of the University of Massachusetts Medical School, Worcester in partial fulfillment of the of the requirements for the degree of DOCTORATE OF PHILOSOPHY December 1, 2017 Interdisciplinary Graduate Program COMPARATIVE ONCOGENOMICS IDENTIFIES NOVEL
    [Show full text]
  • Personalized Oncogenomics in the Management of Gastrointestinal Carcinomas— Early Experiences from a Pilot Study
    PERSONALIZED ONCOGENOMICS IN GASTROINTESTINALORIGINAL CARCINOMAS, SheffieldARTICLE et al. Personalized oncogenomics in the management of gastrointestinal carcinomas— early experiences from a pilot study † ‡ ‡ B.S. SheffieldMD ,* B. Tessier-Cloutier MD,* H. Li-Chang MD, Y. Shen PhD, E. Pleasance PhD, ‡ ‡ ‡ § § K. Kasaian PhD, Y. Li PhD, S.J.M. Jones PhD, H.J. Lim MD PhD, D.J. Renouf MD, D.G. Huntsman MD,* § ‡|| S. Yip MD PhD,* J. Laskin MD, M. Marra PhD, and D.F. Schaeffer MD PhD* ABSTRACT Background Gastrointestinal carcinomas are genomically complex cancers that are lethal in the metastatic setting. Whole-genome and transcriptome sequencing allow for the simultaneous characterization of multiple oncogenic pathways. Methods We report 3 cases of metastatic gastrointestinal carcinoma in patients enrolled in the Personalized Onco-Genomics program at the BC Cancer Agency. Real-time genomic profiling was combined with clinical expertise to diagnose a carcinoma of unknown primary, to explore treatment response to bevacizumab in a colorectal cancer, and to characterize an appendiceal adenocarcinoma. Results In the first case, genomic profiling revealed an IDH1 somatic mutation, supporting the diagnosis of cholangiocarcinoma in a malignancy of unknown origin, and further guided therapy by identifying epidermal growth factor receptor amplification. In the second case, a BRAF V600E mutation and wild-type KRAS profile justified the use of targeted therapies to treat a colonic adenocarcinoma. The third case was an appendiceal adenocarcinoma defined by a p53 inactivation; Ras/raf/mek, Akt/mtor, Wnt, and notch pathway activation; and overexpression of ret, erbb2 (her2), erbb3, met, and cell cycle regulators. Summary We show that whole-genome and transcriptome sequencing can be achieved within clinically effective timelines, yielding clinically useful and actionable information.
    [Show full text]
  • Niban Gene Is Commonly Expressed in the Renal Tumors: a New Candidate Marker for Renal Carcinogenesis
    Oncogene (2004) 23, 3495–3500 & 2004 Nature Publishing Group All rights reserved 0950-9232/04 $25.00 www.nature.com/onc Niban gene is commonly expressed in the renal tumors: a new candidate marker for renal carcinogenesis Hiroyuki Adachi1,2, Shuichi Majima1, Shigeyuki Kon1,3, Toshiyuki Kobayashi1, Kazunori Kajino1, Hiroaki Mitani1, Youko Hirayama1, Hiroaki Shiina2, Mikio Igawa2 and Okio Hino*,1 1Department of Experimental Pathology, Cancer Institute, Japanese Foundation for Cancer Research, 1-37-1 Kami-ikebukuro, Toshima-ku, Tokyo 170-8455, Japan; 2Department of Urology, Shimane University School of Medicine, 89-1 Enya-cho, Izumo-shi, Shimane 693-8501, Japan; 3Immuno-Biological Laboratories Co., Ltd., 1091-1 Naka, Fujioka-shi, Gunma 375-0005, Japan Functional inactivation of tuberous sclerosis 2 gene (Tsc2) one of the Tsc2 allele is inactivated genetically by the leads to renal carcinogenesis in the hereditary renal insertion of a transposon-like sequence (Hino et al., carcinoma Eker rat models. Recent studies revealed a role 1994; Yeung et al., 1994; Kobayashi et al., 1995). At the of tuberin,a TSC2 product,in suppressing the p70 S6 histological level, multiple stages in the development of kinase (p70S6K) activity via inhibition of mammalian renal carcinomas have been observed, beginning with target of rapamycin (mTOR). Phosphorylated S6 protein, isolated, phenotypically altered renal tubules (Hino a substrate of p70S6K,was expressed in the early lesions et al., 1993). We have demonstrated the inactivation of in Eker rats,and this expression was suppressed by the the wild-type Tsc2 allele in phenotypically altered renal treatment of rapamycin,an inhibitor of mTOR.
    [Show full text]
  • Comparative Oncogenomics Identifies Combinations of Driver Genes And
    ARTICLE https://doi.org/10.1038/s41467-019-08301-2 OPEN Comparative oncogenomics identifies combinations of driver genes and drug targets in BRCA1-mutated breast cancer Stefano Annunziato1,2,3, Julian R. de Ruiter1,2,3,4, Linda Henneman1,5, Chiara S. Brambillasca1,2,3, Catrin Lutz1,2,3, François Vaillant 6,7, Federica Ferrante1,2,3, Anne Paulien Drenth1,2,3, Eline van der Burg1,2,3, Bjørn Siteur8, Bas van Gerwen8, Roebi de Bruijn1,2,3,4, Martine H. van Miltenburg1,2,3, Ivo J. Huijbers5, Marieke van de Ven8, Jane E. Visvader 6,7, Geoffrey J. Lindeman 6,9,10, Lodewyk F.A. Wessels2,3,4 & Jos Jonkers1,2,3 1234567890():,; BRCA1-mutated breast cancer is primarily driven by DNA copy-number alterations (CNAs) containing large numbers of candidate driver genes. Validation of these candidates requires novel approaches for high-throughput in vivo perturbation of gene function. Here we develop genetically engineered mouse models (GEMMs) of BRCA1-deficient breast cancer that permit rapid introduction of putative drivers by either retargeting of GEMM-derived embryonic stem cells, lentivirus-mediated somatic overexpression or in situ CRISPR/Cas9- mediated gene disruption. We use these approaches to validate Myc, Met, Pten and Rb1 as bona fide drivers in BRCA1-associated mammary tumorigenesis. Iterative mouse modeling and comparative oncogenomics analysis show that MYC-overexpression strongly reshapes the CNA landscape of BRCA1-deficient mammary tumors and identify MCL1 as a collabor- ating driver in these tumors. Moreover, MCL1 inhibition potentiates the in vivo efficacy of PARP inhibition (PARPi), underscoring the therapeutic potential of this combination for treatment of BRCA1-mutated cancer patients with poor response to PARPi monotherapy.
    [Show full text]
  • Making Sense of Cancer Genomic Data
    Downloaded from genesdev.cshlp.org on September 29, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW Making sense of cancer genomic data Lynda Chin,1,2,3 William C. Hahn,1,2 Gad Getz,2 and Matthew Meyerson1,2 1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA; 2Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA High-throughput tools for nucleic acid characterization 2010). Moreover, the current pace of technological ad- now provide the means to conduct comprehensive anal- vances make it increasingly clear that the ability to yses of all somatic alterations in the cancer genomes. perform prospective and comprehensive molecular pro- Both large-scale and focused efforts have identified new filing of tumors will become commonplace and enable targets of translational potential. The deluge of informa- genome-informed personalized cancer medicine. tion that emerges from these genome-scale investigations However, the bottlenecks along this path are formi- has stimulated a parallel development of new analytical dable and numerous. For one, these large-scale genome frameworksandtools.Thecomplexityofsomaticgeno- characterization efforts involve the generation and in- mic alterations in cancer genomes also requires the de- terpretation of data at an unprecedented scale, which has velopment of robust methods for the interrogation of the brought into sharp focus the need for improved informa- function of genes identified by these genomics
    [Show full text]
  • The Promising Role of Epigenetic Mediators and Micrornas in the Early Diagnosis of Cholangiocarcinoma (Review)
    WORLD ACADEMY OF SCIENCES JOURNAL 1: 165-176, 2019 The promising role of epigenetic mediators and microRNAs in the early diagnosis of cholangiocarcinoma (Review) VIKRANT RAI1,2, CHANDRA S. BOOSANI2 and DEVENDRA K. AGRAWAL2 Departments of 1Biomedical Sciences, and 2Clinical and Translational Science, Creighton University School of Medicine, Omaha, NE 68178, USA Received May 15, 2019; Accepted August 7, 2019 DOI: 10.3892/wasj.2019.18 Abstract. Cholangiocarcinoma (CC) is a highly lethal malig- histone deacetylation with DNA methyltransferase (DNMT) nant tumor which arises from the biliary tract epithelium and is and histone deacetylase (HDAC) inhibitors has been reported notoriously difficult to diagnose. Common risk factors for CC in a number of cancer types. In CC, targeting the epigenetic are primary sclerosing cholangitis, liver fluke infestation and pathways appears to be a promising approach for treatment. hepatolithiasis. Although CCs are relatively uncommon tumors, This review aims to provide a comprehensive overview of the the worldwide rising incidences and mortality rate for intrahe- putative role of epigenetic alterations and proteomic altera- patic CC (ICC) renders it a disease of interest for research. CCs tions in CC. Furthermore, the role of these alterations in early are usually fatal due to the typically late clinical presentation diagnosis, as prognostic markers, and therapeutics for better and the lack of effective non‑surgical therapeutic modalities. treatment strategies will be highlighted. The overall survival rate, including following tumor resection, is poor with <5% of patients surviving 5 years and this rate has not significantly improved over the past 30 years. Thus, there is Contents a need to diagnose CC at an early stage, and advances in immu- nohistochemistry, molecular genetics, pharmacogenomics and 1.
    [Show full text]