Literature DB >> 20530553

A bioluminescent mouse model of pancreatic {beta}-cell carcinogenesis.

Adrian Zumsteg1, Karin Strittmatter, Daniela Klewe-Nebenius, Helena Antoniadis, Gerhard Christofori.   

Abstract

The Rip1Tag2 transgenic mouse model of pancreatic beta-cell carcinogenesis has been instrumental in identifying several hallmarks of cancer, including tumor cell evasion from apoptosis, tumor angiogenesis and tumor invasion. Moreover, Rip1Tag2 mice have been helpful in the development and testing of innovative cancer therapies and tumor imaging protocols. However, based on tumor localization in the mouse, primary tumor growth and metastatic dissemination cannot be easily monitored in a longitudinal axis by non-invasive and low-technology approaches. Here, we report the generation of a new transgenic mouse line as a versatile tool to study beta-cell carcinogenesis. Transgenic expression of a bicistronic messenger RNA encoding simian virus large T antigen and firefly luciferase in pancreatic beta-cells recapitulates insulinoma development in a reproducible multistage process. In the mouse line called RipTag-IRES-Luciferase line (RTL) 1, the beta-cell-specific expression of luciferase allows the non-invasive monitoring of primary tumor growth over time in vivo and the detection and quantification of disseminated tumor cells and micrometastases in distant organs ex vivo. When crossed to mouse lines in which the expression of cancer 'modifier' genes has been manipulated, tumor initiation and tumor progression are similarly affected as previously reported for Rip1Tag2 mice, indicating a robust tumor progression pathway shared between the two different transgenic mouse lines. Together, the data indicate that the RTL1 mouse line will be of great value to study anti-tumoral therapeutic approaches as well as to define the functional roles of cancer- and metastasis-related genes when crossed to appropriate transgenic or gene-targeted mouse lines.

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Year:  2010        PMID: 20530553     DOI: 10.1093/carcin/bgq109

Source DB:  PubMed          Journal:  Carcinogenesis        ISSN: 0143-3334            Impact factor:   4.944


  7 in total

1.  The ARF tumor suppressor inhibits tumor cell colonization independent of p53 in a novel mouse model of pancreatic ductal adenocarcinoma metastasis.

Authors:  Viviane Palhares Muniz; J Matthew Barnes; Seema Paliwal; Xuefeng Zhang; Xiaoyun Tang; Songhai Chen; Kokou D Zamba; Joseph J Cullen; David K Meyerholz; Shari Meyers; J Nathan Davis; Steven R Grossman; Michael D Henry; Dawn E Quelle
Journal:  Mol Cancer Res       Date:  2011-06-02       Impact factor: 5.852

Review 2.  Molecular imaging of β-cells: diabetes and beyond.

Authors:  Weijun Wei; Emily B Ehlerding; Xiaoli Lan; Quan-Yong Luo; Weibo Cai
Journal:  Adv Drug Deliv Rev       Date:  2018-07-03       Impact factor: 15.470

Review 3.  Imaging to study solid tumour origin and progression: lessons from research and clinical oncology.

Authors:  Stefania Raimondo; Giovanni Zito
Journal:  Immunol Cell Biol       Date:  2017-03-15       Impact factor: 5.126

4.  In vivo imaging of colorectal cancer growth and metastasis by targeting MACC1 with shRNA in xenografted mice.

Authors:  Andreas Pichorner; Ulrike Sack; Dennis Kobelt; Inken Kelch; Franziska Arlt; Janice Smith; Wolfgang Walther; Peter M Schlag; Ulrike Stein
Journal:  Clin Exp Metastasis       Date:  2012-04-07       Impact factor: 5.150

5.  Non-invasive monitoring of pancreatic tumor progression in the RIP1-Tag2 mouse by magnetic resonance imaging.

Authors:  Andreas Schmid; Heidi Braumüller; Hans F Wehrl; Martin Röcken; Bernd J Pichler
Journal:  Mol Imaging Biol       Date:  2013-04       Impact factor: 3.488

Review 6.  Illuminating cancer systems with genetically engineered mouse models and coupled luciferase reporters in vivo.

Authors:  Brandon Kocher; David Piwnica-Worms
Journal:  Cancer Discov       Date:  2013-04-12       Impact factor: 39.397

7.  miR-338-3p functions as a tumor suppressor in gastric cancer by targeting PTP1B.

Authors:  Feng Sun; Mengchao Yu; Jing Yu; Zhijian Liu; Xinyan Zhou; Yanqing Liu; Xiaolong Ge; Haidong Gao; Mei Li; Xiaohong Jiang; Song Liu; Xi Chen; Wenxian Guan
Journal:  Cell Death Dis       Date:  2018-05-01       Impact factor: 8.469

  7 in total

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