Literature DB >> 22421440

Sleeping Beauty mutagenesis reveals cooperating mutations and pathways in pancreatic adenocarcinoma.

Karen M Mann1, Jerrold M Ward, Christopher Chin Kuan Yew, Anne Kovochich, David W Dawson, Michael A Black, Benjamin T Brett, Todd E Sheetz, Adam J Dupuy, David K Chang, Andrew V Biankin, Nicola Waddell, Karin S Kassahn, Sean M Grimmond, Alistair G Rust, David J Adams, Nancy A Jenkins, Neal G Copeland.   

Abstract

Pancreatic cancer is one of the most deadly cancers affecting the Western world. Because the disease is highly metastatic and difficult to diagnosis until late stages, the 5-y survival rate is around 5%. The identification of molecular cancer drivers is critical for furthering our understanding of the disease and development of improved diagnostic tools and therapeutics. We have conducted a mutagenic screen using Sleeping Beauty (SB) in mice to identify new candidate cancer genes in pancreatic cancer. By combining SB with an oncogenic Kras allele, we observed highly metastatic pancreatic adenocarcinomas. Using two independent statistical methods to identify loci commonly mutated by SB in these tumors, we identified 681 loci that comprise 543 candidate cancer genes (CCGs); 75 of these CCGs, including Mll3 and Ptk2, have known mutations in human pancreatic cancer. We identified point mutations in human pancreatic patient samples for another 11 CCGs, including Acvr2a and Map2k4. Importantly, 10% of the CCGs are involved in chromatin remodeling, including Arid4b, Kdm6a, and Nsd3, and all SB tumors have at least one mutated gene involved in this process; 20 CCGs, including Ctnnd1, Fbxo11, and Vgll4, are also significantly associated with poor patient survival. SB mutagenesis provides a rich resource of mutations in potential cancer drivers for cross-comparative analyses with ongoing sequencing efforts in human pancreatic adenocarcinoma.

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Year:  2012        PMID: 22421440      PMCID: PMC3341075          DOI: 10.1073/pnas.1202490109

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  60 in total

1.  Genome profiling of pancreatic adenocarcinoma.

Authors:  David J Birnbaum; José Adélaïde; Emilie Mamessier; Pascal Finetti; Arnaud Lagarde; Geneviève Monges; Frédéric Viret; Anthony Gonçalvès; Olivier Turrini; Jean-Robert Delpero; Juan Iovanna; Marc Giovannini; Daniel Birnbaum; Max Chaffanet
Journal:  Genes Chromosomes Cancer       Date:  2011-03-15       Impact factor: 5.006

2.  Trp53R172H and KrasG12D cooperate to promote chromosomal instability and widely metastatic pancreatic ductal adenocarcinoma in mice.

Authors:  Sunil R Hingorani; Lifu Wang; Asha S Multani; Chelsea Combs; Therese B Deramaudt; Ralph H Hruban; Anil K Rustgi; Sandy Chang; David A Tuveson
Journal:  Cancer Cell       Date:  2005-05       Impact factor: 31.743

3.  Activated Kras and Ink4a/Arf deficiency cooperate to produce metastatic pancreatic ductal adenocarcinoma.

Authors:  Andrew J Aguirre; Nabeel Bardeesy; Manisha Sinha; Lyle Lopez; David A Tuveson; James Horner; Mark S Redston; Ronald A DePinho
Journal:  Genes Dev       Date:  2003-12-17       Impact factor: 11.361

4.  Expression of S100A2 calcium-binding protein predicts response to pancreatectomy for pancreatic cancer.

Authors:  Andrew V Biankin; James G Kench; Emily K Colvin; Davendra Segara; Christopher J Scarlett; Nam Q Nguyen; David K Chang; Adrienne L Morey; C-Soon Lee; Mark Pinese; Samuel C L Kuo; Johana M Susanto; Peter H Cosman; Geoffrey J Lindeman; Jane E Visvader; Tuan V Nguyen; Neil D Merrett; Janindra Warusavitarne; Elizabeth A Musgrove; Susan M Henshall; Robert L Sutherland
Journal:  Gastroenterology       Date:  2009-04-16       Impact factor: 22.682

Review 5.  A census of human cancer genes.

Authors:  P Andrew Futreal; Lachlan Coin; Mhairi Marshall; Thomas Down; Timothy Hubbard; Richard Wooster; Nazneen Rahman; Michael R Stratton
Journal:  Nat Rev Cancer       Date:  2004-03       Impact factor: 60.716

6.  A modified sleeping beauty transposon system that can be used to model a wide variety of human cancers in mice.

Authors:  Adam J Dupuy; Laura M Rogers; Jinsil Kim; Kishore Nannapaneni; Timothy K Starr; Pentao Liu; David A Largaespada; Todd E Scheetz; Nancy A Jenkins; Neal G Copeland
Journal:  Cancer Res       Date:  2009-10-06       Impact factor: 12.701

7.  The genomic landscapes of human breast and colorectal cancers.

Authors:  Laura D Wood; D Williams Parsons; Siân Jones; Jimmy Lin; Tobias Sjöblom; Rebecca J Leary; Dong Shen; Simina M Boca; Thomas Barber; Janine Ptak; Natalie Silliman; Steve Szabo; Zoltan Dezso; Vadim Ustyanksky; Tatiana Nikolskaya; Yuri Nikolsky; Rachel Karchin; Paul A Wilson; Joshua S Kaminker; Zemin Zhang; Randal Croshaw; Joseph Willis; Dawn Dawson; Michail Shipitsin; James K V Willson; Saraswati Sukumar; Kornelia Polyak; Ben Ho Park; Charit L Pethiyagoda; P V Krishna Pant; Dennis G Ballinger; Andrew B Sparks; James Hartigan; Douglas R Smith; Erick Suh; Nickolas Papadopoulos; Phillip Buckhaults; Sanford D Markowitz; Giovanni Parmigiani; Kenneth W Kinzler; Victor E Velculescu; Bert Vogelstein
Journal:  Science       Date:  2007-10-11       Impact factor: 47.728

8.  A transposon-based genetic screen in mice identifies genes altered in colorectal cancer.

Authors:  Timothy K Starr; Raha Allaei; Kevin A T Silverstein; Rodney A Staggs; Aaron L Sarver; Tracy L Bergemann; Mihir Gupta; M Gerard O'Sullivan; Ilze Matise; Adam J Dupuy; Lara S Collier; Scott Powers; Ann L Oberg; Yan W Asmann; Stephen N Thibodeau; Lino Tessarollo; Neal G Copeland; Nancy A Jenkins; Robert T Cormier; David A Largaespada
Journal:  Science       Date:  2009-02-26       Impact factor: 47.728

Review 9.  Molecular pathogenesis of pancreatic cancer.

Authors:  Donna E Hansel; Scott E Kern; Ralph H Hruban
Journal:  Annu Rev Genomics Hum Genet       Date:  2003       Impact factor: 8.929

10.  Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nucleic Acids Res       Date:  2008-11-25       Impact factor: 16.971

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  112 in total

Review 1.  Phosphorylation and isoform use in p120-catenin during development and tumorigenesis.

Authors:  Ji Yeon Hong; Il-Hoan Oh; Pierre D McCrea
Journal:  Biochim Biophys Acta       Date:  2015-10-23

Review 2.  The Role of Nuclear Receptor-Binding SET Domain Family Histone Lysine Methyltransferases in Cancer.

Authors:  Richard L Bennett; Alok Swaroop; Catalina Troche; Jonathan D Licht
Journal:  Cold Spring Harb Perspect Med       Date:  2017-06-01       Impact factor: 6.915

Review 3.  Metformin in pancreatic cancer treatment: from clinical trials through basic research to biomarker quantification.

Authors:  Archana Bhaw-Luximon; Dhanjay Jhurry
Journal:  J Cancer Res Clin Oncol       Date:  2016-05-09       Impact factor: 4.553

4.  miR-222/VGLL4/YAP-TEAD1 regulatory loop promotes proliferation and invasion of gastric cancer cells.

Authors:  Nan Li; Nanrong Yu; Jia Wang; Haofeng Xi; Weiqun Lu; Houwei Xu; Min Deng; Guopei Zheng; Haiying Liu
Journal:  Am J Cancer Res       Date:  2015-02-15       Impact factor: 6.166

5.  VGLL4 functions as a new tumor suppressor in lung cancer by negatively regulating the YAP-TEAD transcriptional complex.

Authors:  Wenjing Zhang; Yijun Gao; Peixue Li; Zhubing Shi; Tong Guo; Fei Li; Xiangkun Han; Yan Feng; Chao Zheng; Zuoyun Wang; Fuming Li; Haiquan Chen; Zhaocai Zhou; Lei Zhang; Hongbin Ji
Journal:  Cell Res       Date:  2014-01-24       Impact factor: 25.617

6.  Cyclin-dependent kinase 1 (CDK1)-mediated mitotic phosphorylation of the transcriptional co-repressor Vgll4 inhibits its tumor-suppressing activity.

Authors:  Yongji Zeng; Seth Stauffer; Jiuli Zhou; Xingcheng Chen; Yuanhong Chen; Jixin Dong
Journal:  J Biol Chem       Date:  2017-07-24       Impact factor: 5.157

Review 7.  VGLL4 is a transcriptional cofactor acting as a novel tumor suppressor via interacting with TEADs.

Authors:  Xiaochong Deng; Lin Fang
Journal:  Am J Cancer Res       Date:  2018-06-01       Impact factor: 6.166

8.  p120-catenin regulates WNT signaling and EMT in the mouse embryo.

Authors:  Rocío Hernández-Martínez; Nitya Ramkumar; Kathryn V Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-01       Impact factor: 11.205

Review 9.  Mouse models of cancer: Sleeping Beauty transposons for insertional mutagenesis screens and reverse genetic studies.

Authors:  Barbara R Tschida; David A Largaespada; Vincent W Keng
Journal:  Semin Cell Dev Biol       Date:  2014-01-24       Impact factor: 7.727

Review 10.  Roles of F-box proteins in cancer.

Authors:  Zhiwei Wang; Pengda Liu; Hiroyuki Inuzuka; Wenyi Wei
Journal:  Nat Rev Cancer       Date:  2014-04       Impact factor: 60.716

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