Literature DB >> 15358632

Modeling metastasis in vivo.

Chand Khanna1, Kent Hunter.   

Abstract

Metastasis, the spread of a tumor from its primary site to other parts of the body, continues to be the most significant problem in the field of cancer. Patients who present with metastatic disease or those who develop metastases after successful management of the primary tumor carry a universally grave prognosis. To improve treatment outcomes for these patients a broader understanding of the biology of metastases is necessary. The biological complexity that characterizes metastasis requires complex experimental systems for its study. To a large extent the modeling of this biological complexity is only possible using animal models. The following review will summarize the strengths and weaknesses of available in vivo models of metastasis including transplantable syngeneic mouse and human-mouse xenografts, genetically engineered mice and naturally occurring cancers of companion animals (pet dogs and cats). No single metastasis model is sufficient to answer all questions. As such, the selection of the optimal model(s) for each biological or translational question is necessary.

Entities:  

Mesh:

Year:  2004        PMID: 15358632     DOI: 10.1093/carcin/bgh261

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


  159 in total

1.  Strain-specific susceptibility for pulmonary metastasis of sarcoma 180 cells in inbred mice.

Authors:  Haris G Vikis; Erin N Jackson; Alexander S Krupnick; Andrew Franklin; Andrew E Gelman; Qiong Chen; David Piwnica-Worms; Ming You
Journal:  Cancer Res       Date:  2010-05-25       Impact factor: 12.701

Review 2.  Liver metastases: Microenvironments and ex-vivo models.

Authors:  Amanda M Clark; Bo Ma; D Lansing Taylor; Linda Griffith; Alan Wells
Journal:  Exp Biol Med (Maywood)       Date:  2016-07-06

3.  Sipa1 is a candidate for underlying the metastasis efficiency modifier locus Mtes1.

Authors:  Yeong-Gwan Park; Xiaohong Zhao; Fabienne Lesueur; Douglas R Lowy; Mindy Lancaster; Paul Pharoah; Xiaolan Qian; Kent W Hunter
Journal:  Nat Genet       Date:  2005-09-04       Impact factor: 38.330

4.  The use of chemokine-releasing tissue engineering scaffolds in a model of inflammatory response-mediated melanoma cancer metastasis.

Authors:  Cheng-Yu Ko; Lanxiao Wu; Ashwin M Nair; Yi-Ting Tsai; Victor K Lin; Liping Tang
Journal:  Biomaterials       Date:  2011-10-22       Impact factor: 12.479

5.  Quantifying spontaneous metastasis in a syngeneic mouse melanoma model using real time PCR.

Authors:  Wentao Deng; Sarah L McLaughlin; David J Klinke
Journal:  Analyst       Date:  2017-08-07       Impact factor: 4.616

6.  "The development tumor model" to study and monitor the entire progression of both primary and metastatic tumors.

Authors:  Enrico Brognaro
Journal:  Tumour Biol       Date:  2013-11-10

7.  A novel noninvasive method for evaluating experimental lung metastasis in mice.

Authors:  Arnulfo Mendoza; Radhika Gharpure; John Dennis; Joshua D Webster; Jeremy Smedley; Chand Khanna
Journal:  J Am Assoc Lab Anim Sci       Date:  2013-09       Impact factor: 1.232

Review 8.  Mouse models in liver cancer research: a review of current literature.

Authors:  Martijn W H Leenders; Maarten W Nijkamp; Inne H M Borel Rinkes
Journal:  World J Gastroenterol       Date:  2008-12-07       Impact factor: 5.742

9.  Inhibition of metastatic potential in colorectal carcinoma in vivo and in vitro using immunomodulatory drugs (IMiDs).

Authors:  W M Liu; J Y Henry; B Meyer; J B Bartlett; A G Dalgleish; C Galustian
Journal:  Br J Cancer       Date:  2009-07-28       Impact factor: 7.640

10.  Cancer as a metabolic disease.

Authors:  Thomas N Seyfried; Laura M Shelton
Journal:  Nutr Metab (Lond)       Date:  2010-01-27       Impact factor: 4.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.