Literature DB >> 17418611

Cancer modeling: modern imaging applications in the generation of novel animal model systems to study cancer progression and therapy.

Alessia Stell1, Andrea Biserni, Sara Della Torre, Gianpaolo Rando, Balaji Ramachandran, Luisa Ottobrini, Giovanni Lucignani, Adriana Maggi, Paolo Ciana.   

Abstract

Cancer is the result of a series of genetic and epigenetic mutations that evolve over years even decades and lead to the transformed phenotype. Paradoxically, most methods developed to study these changes are static and do not provide insights on the dynamics of the sequela of steps involved in tumorigenesis. This major shortcoming now can be overcome with the application of reporter genes and imaging technologies, which are providing tools to examine specific molecular events and their role in the carcinogenic process in single cells. In the last decade reporter-based biosensors were created to study gene transcription, protein/protein interactions, sub-cellular trafficking and protease activities; this wealth of systems enable to monitor intracellular signaling pathways at several key check points specifically involved in cancer cell development. The challenge is now to extend cell-based models to the generation of reporter mice, where non-invasive in vivo imaging technologies allow to follow single molecular events. When combined with murine models of cancer, these technologies will give an unprecedented opportunity to spatio-temporally investigate the molecular events resulting in neoplasia. The aim of the present review is to highlight the major changes occurring in this rapidly evolving field and their potential for increasing our knowledge in cancer biology and for the research of novel and more efficacious therapies.

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Year:  2007        PMID: 17418611     DOI: 10.1016/j.biocel.2007.02.019

Source DB:  PubMed          Journal:  Int J Biochem Cell Biol        ISSN: 1357-2725            Impact factor:   5.085


  6 in total

Review 1.  Lung cancer cell lines as tools for biomedical discovery and research.

Authors:  Adi F Gazdar; Luc Girard; William W Lockwood; Wan L Lam; John D Minna
Journal:  J Natl Cancer Inst       Date:  2010-08-02       Impact factor: 13.506

2.  Validation of an engineered cell model for in vitro and in vivo HIF-1α evaluation by different imaging modalities.

Authors:  A Lo Dico; S Valtorta; C Martelli; S Belloli; U Gianelli; D Tosi; S Bosari; A Degrassi; M Russo; I Raccagni; G Lucignani; R M Moresco; L Ottobrini
Journal:  Mol Imaging Biol       Date:  2014-04       Impact factor: 3.488

Review 3.  Use of radionuclides in cancer research and treatment.

Authors:  M T Macías
Journal:  Clin Transl Oncol       Date:  2009-03       Impact factor: 3.405

4.  Inhibition of SIRT1 deacetylase and p53 activation uncouples the anti-inflammatory and chemopreventive actions of NSAIDs.

Authors:  Giulia Dell'Omo; Daniela Crescenti; Cristina Vantaggiato; Chiara Parravicini; Aurora Paola Borroni; Nicoletta Rizzi; Mariangela Garofalo; Andrea Pinto; Camilla Recordati; Eugenio Scanziani; Fabio Domenico Bassi; Giancarlo Pruneri; Paola Conti; Ivano Eberini; Adriana Maggi; Paolo Ciana
Journal:  Br J Cancer       Date:  2019-02-11       Impact factor: 7.640

Review 5.  Applications of Genome Editing Technology in Animal Disease Modeling and Gene Therapy.

Authors:  Qian Li; Zhou Qin; Qingnan Wang; Ting Xu; Yang Yang; Zhiyao He
Journal:  Comput Struct Biotechnol J       Date:  2019-06-08       Impact factor: 7.271

6.  Genetic modification of cancer cells using non-viral, episomal S/MAR vectors for in vivo tumour modelling.

Authors:  Orestis Argyros; Suet Ping Wong; Kate Gowers; Richard Paul Harbottle
Journal:  PLoS One       Date:  2012-10-26       Impact factor: 3.240

  6 in total

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