Literature DB >> 22257951

Mouse models of cancer: does the strain matter?

Kent W Hunter1.   

Abstract

Mouse models are indispensible tools for understanding the molecular basis of cancer. However, despite the invaluable data provided regarding tumour biology, owing to inbreeding, current mouse models fail to accurately model human populations. Polymorphism is the essential characteristic that makes each of us unique humans, with different disease susceptibility, presentation and progression. Therefore, as we move closer towards designing clinical treatment that is based on an individual's unique biological makeup, it is imperative that we understand how inherited variability influences cancer phenotypes, how it can confound experiments and how it can be exploited to reveal new truths about cancer biology.

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Year:  2012        PMID: 22257951      PMCID: PMC6309955          DOI: 10.1038/nrc3206

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   60.716


  26 in total

1.  Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium.

Authors:  Christopher S Carlson; Michael A Eberle; Mark J Rieder; Qian Yi; Leonid Kruglyak; Deborah A Nickerson
Journal:  Am J Hum Genet       Date:  2003-12-15       Impact factor: 11.025

2.  The risk of cancer associated with specific mutations of BRCA1 and BRCA2 among Ashkenazi Jews.

Authors:  J P Struewing; P Hartge; S Wacholder; S M Baker; M Berlin; M McAdams; M M Timmerman; L C Brody; M A Tucker
Journal:  N Engl J Med       Date:  1997-05-15       Impact factor: 91.245

3.  AKXD recombinant inbred strains: models for studying the molecular genetic basis of murine lymphomas.

Authors:  M L Mucenski; B A Taylor; N A Jenkins; N G Copeland
Journal:  Mol Cell Biol       Date:  1986-12       Impact factor: 4.272

4.  Susceptibility to astrocytoma in mice mutant for Nf1 and Trp53 is linked to chromosome 11 and subject to epigenetic effects.

Authors:  Karlyne M Reilly; Robert G Tuskan; Emily Christy; Dagan A Loisel; Jeremy Ledger; Roderick T Bronson; C Dahlem Smith; Shirley Tsang; David J Munroe; Tyler Jacks
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-19       Impact factor: 11.205

5.  Bromodomain 4 activation predicts breast cancer survival.

Authors:  Nigel P S Crawford; Jude Alsarraj; Luanne Lukes; Renard C Walker; Jennifer S Officewala; Howard H Yang; Maxwell P Lee; Keiko Ozato; Kent W Hunter
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-21       Impact factor: 11.205

6.  The secretory phospholipase A2 gene is a candidate for the Mom1 locus, a major modifier of ApcMin-induced intestinal neoplasia.

Authors:  M MacPhee; K P Chepenik; R A Liddell; K K Nelson; L D Siracusa; A M Buchberg
Journal:  Cell       Date:  1995-06-16       Impact factor: 41.582

7.  Susceptibility to aflatoxin B1-related primary hepatocellular carcinoma in mice and humans.

Authors:  Katherine A McGlynn; Kent Hunter; Thomas LeVoyer; Jessica Roush; Philip Wise; Rita A Michielli; Fu-Min Shen; Alison A Evans; W Thomas London; Kenneth H Buetow
Journal:  Cancer Res       Date:  2003-08-01       Impact factor: 12.701

Review 8.  Novel approaches to identify low-penetrance cancer susceptibility genes using mouse models.

Authors:  John P de Koning; Jian-Hua Mao; Allan Balmain
Journal:  Recent Results Cancer Res       Date:  2003

9.  Use of a dense single nucleotide polymorphism map for in silico mapping in the mouse.

Authors:  Mathew T Pletcher; Philip McClurg; Serge Batalov; Andrew I Su; S Whitney Barnes; Erica Lagler; Ron Korstanje; Xiaosong Wang; Deborah Nusskern; Molly A Bogue; Richard J Mural; Beverly Paigen; Tim Wiltshire
Journal:  PLoS Biol       Date:  2004-11-09       Impact factor: 8.029

10.  Genetic architecture of mouse skin inflammation and tumour susceptibility.

Authors:  David A Quigley; Minh D To; Jesús Pérez-Losada; Facundo G Pelorosso; Jian-Hua Mao; Hiroki Nagase; David G Ginzinger; Allan Balmain
Journal:  Nature       Date:  2009-01-11       Impact factor: 49.962

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  27 in total

1.  Tumor Heterogeneity--A 'Contemporary Concept' Founded on Historical Insights and Predictions.

Authors:  Danny R Welch
Journal:  Cancer Res       Date:  2016-01-03       Impact factor: 12.701

2.  Mitochondrial Haplotype of the Host Stromal Microenvironment Alters Metastasis in a Non-cell Autonomous Manner.

Authors:  Amanda E Brinker; Carolyn J Vivian; Thomas C Beadnell; Devin C Koestler; Shao Thing Teoh; Sophia Y Lunt; Danny R Welch
Journal:  Cancer Res       Date:  2019-12-17       Impact factor: 12.701

3.  Role of p53 in the chronic pulmonary immune response to tangled or rod-like multi-walled carbon nanotubes.

Authors:  Katherine S Duke; Elizabeth A Thompson; Mark D Ihrie; Alexia J Taylor-Just; Elizabeth A Ash; Kelly A Shipkowski; Jonathan R Hall; Debra A Tokarz; Mark F Cesta; Ann F Hubbs; Dale W Porter; Linda M Sargent; James C Bonner
Journal:  Nanotoxicology       Date:  2018-10-14       Impact factor: 5.913

Review 4.  Optimizing mouse models for precision cancer prevention.

Authors:  Clémentine Le Magnen; Aditya Dutta; Cory Abate-Shen
Journal:  Nat Rev Cancer       Date:  2016-02-19       Impact factor: 60.716

5.  In-silico QTL mapping of postpubertal mammary ductal development in the mouse uncovers potential human breast cancer risk loci.

Authors:  Darryl L Hadsell; Louise A Hadsell; Walter Olea; Monique Rijnkels; Chad J Creighton; Ian Smyth; Kieran M Short; Liza L Cox; Timothy C Cox
Journal:  Mamm Genome       Date:  2015-01-01       Impact factor: 2.957

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

Review 7.  Genome-wide association studies in mice.

Authors:  Jonathan Flint; Eleazar Eskin
Journal:  Nat Rev Genet       Date:  2012-10-09       Impact factor: 53.242

8.  Navigating cancer network attractors for tumor-specific therapy.

Authors:  Pau Creixell; Erwin M Schoof; Janine T Erler; Rune Linding
Journal:  Nat Biotechnol       Date:  2012-09       Impact factor: 54.908

9.  Heritable genetic background alters survival and phenotype of Mll-AF9-induced leukemias.

Authors:  Kira Young; Matthew A Loberg; Elizabeth Eudy; Logan S Schwartz; Kristina D Mujica; Jennifer J Trowbridge
Journal:  Exp Hematol       Date:  2020-08-06       Impact factor: 3.084

10.  Understanding susceptibility to breast cancer metastasis: the genetic approach.

Authors:  Anjali Shukla; Jude Alsarraj; Kent Hunter
Journal:  Breast Cancer Manag       Date:  2014-03-01
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