Literature DB >> 25088201

Melanoma susceptibility as a complex trait: genetic variation controls all stages of tumor progression.

B Ferguson1, R Ram2, H Y Handoko1, P Mukhopadhyay1, H K Muller3, H P Soyer4, G Morahan2, G J Walker1.   

Abstract

Susceptibility to most common cancers is likely to involve interaction between multiple low risk genetic variants. Although there has been great progress in identifying such variants, their effect on phenotype and the mechanisms by which they contribute to disease remain largely unknown. We have developed a mouse melanoma model harboring two mutant oncogenes implicated in human melanoma, CDK4(R24C) and NRAS(Q61K). In these mice, tumors arise from benign precursor lesions that are a recognized strong risk factor for this neoplasm in humans. To define molecular events involved in the pathway to melanoma, we have for the first time applied the Collaborative Cross (CC) to cancer research. The CC is a powerful resource designed to expedite discovery of genes for complex traits. We characterized melanoma genesis in more than 50 CC strains and observed tremendous variation in all traits, including nevus and melanoma age of onset and multiplicity, anatomical site predilection, time for conversion of nevi to melanoma and metastases. Intriguingly, neonatal ultraviolet radiation exposure exacerbated nevus and melanoma formation in most, but not all CC strain backgrounds, suggesting that genetic variation within the CC will help explain individual sensitivity to sun exposure, the major environmental skin carcinogen. As genetic variation brings about dramatic phenotypic diversity in a single mouse model, melanoma-related endophenotype comparisons provide us with information about mechanisms of carcinogenesis, such as whether melanoma incidence is dependent upon the density of pre-existing nevus cells. Mouse models have been used to examine the functional role of gene mutations in tumorigenesis. This work represents their next phase of development to study how biological variation greatly influences lesion onset and aggressiveness even in the setting of known somatic driver mutations.

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Year:  2014        PMID: 25088201     DOI: 10.1038/onc.2014.227

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  38 in total

1.  Three-dimensional modelling for estimation of nevus count and probability of nevus-melanoma progression in a murine model.

Authors:  Eric Chai; Blake Ferguson; Tarl Prow; Peter Soyer; Graeme Walker
Journal:  Pigment Cell Melanoma Res       Date:  2013-12-11       Impact factor: 4.693

Review 2.  Systems genetics analysis of cancer susceptibility: from mouse models to humans.

Authors:  David Quigley; Allan Balmain
Journal:  Nat Rev Genet       Date:  2009-07-28       Impact factor: 53.242

Review 3.  Modelling melanoma in mice.

Authors:  Graeme J Walker; H P Soyer; Tamara Terzian; Neil F Box
Journal:  Pigment Cell Melanoma Res       Date:  2011-11-02       Impact factor: 4.693

4.  Base substitution at different alternative splice donor sites of the tyrosinase gene in murine albinism.

Authors:  N Le Fur; S R Kelsall; B Mintz
Journal:  Genomics       Date:  1996-10-15       Impact factor: 5.736

5.  A large Norwegian family with inherited malignant melanoma, multiple atypical nevi, and CDK4 mutation.

Authors:  Anders Molven; Magne B Grimstvedt; Solrun J Steine; Mark Harland; Marie-Françoise Avril; Nicholas K Hayward; Lars A Akslen
Journal:  Genes Chromosomes Cancer       Date:  2005-09       Impact factor: 5.006

6.  Melanoma mouse model implicates metabotropic glutamate signaling in melanocytic neoplasia.

Authors:  Pamela M Pollock; Karine Cohen-Solal; Raman Sood; Jin Namkoong; Jeffrey J Martino; Aruna Koganti; Hua Zhu; Christiane Robbins; Izabela Makalowska; Seung-Shick Shin; Yari Marin; Kathleen G Roberts; Laura M Yudt; Amy Chen; Jun Cheng; Arturo Incao; Heather W Pinkett; Christopher L Graham; Karen Dunn; Steven M Crespo-Carbone; Kerine R Mackason; Kevin B Ryan; Daniel Sinsimer; James Goydos; Kenneth R Reuhl; Michael Eckhaus; Paul S Meltzer; William J Pavan; Jeffrey M Trent; Suzie Chen
Journal:  Nat Genet       Date:  2003-05       Impact factor: 38.330

7.  Evidence that Gsta4 modifies susceptibility to skin tumor development in mice and humans.

Authors:  Erika L Abel; Joe M Angel; Penny K Riggs; Laura Langfield; Herng-Hsiang Lo; Maria D Person; Yogesh C Awasthi; Li-E Wang; Sara S Strom; Qingyi Wei; John DiGiovanni
Journal:  J Natl Cancer Inst       Date:  2010-10-21       Impact factor: 13.506

8.  Identification of inbred mouse strains harboring genetic modifiers of mammary tumor age of onset and metastatic progression.

Authors:  T Lifsted; T Le Voyer; M Williams; W Muller; A Klein-Szanto; K H Buetow; K W Hunter
Journal:  Int J Cancer       Date:  1998-08-12       Impact factor: 7.396

9.  Cadm1 is a metastasis susceptibility gene that suppresses metastasis by modifying tumor interaction with the cell-mediated immunity.

Authors:  Farhoud Faraji; Yanli Pang; Renard C Walker; Rosan Nieves Borges; Li Yang; Kent W Hunter
Journal:  PLoS Genet       Date:  2012-09-20       Impact factor: 5.917

10.  Familial atypical multiple mole melanoma (FAMMM) syndrome: genetic heterogeneity and malignant melanoma.

Authors:  H T Lynch; R M Fusaro; J Pester; J F Lynch
Journal:  Br J Cancer       Date:  1980-07       Impact factor: 7.640

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  14 in total

1.  Candidate genetic modifiers of retinitis pigmentosa identified by exploiting natural variation in Drosophila.

Authors:  Clement Y Chow; Keegan J P Kelsey; Mariana F Wolfner; Andrew G Clark
Journal:  Hum Mol Genet       Date:  2015-12-11       Impact factor: 6.150

2.  Murine melanomas accelerated by a single UVR exposure carry photoproduct footprints but lack UV signature C>T mutations in critical genes.

Authors:  P Mukhopadhyay; B Ferguson; H K Muller; H Y Handoko; G J Walker
Journal:  Oncogene       Date:  2015-10-19       Impact factor: 9.867

Review 3.  Informatics resources for the Collaborative Cross and related mouse populations.

Authors:  Andrew P Morgan; Catherine E Welsh
Journal:  Mamm Genome       Date:  2015-07-02       Impact factor: 2.957

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

Review 5.  Melanoma models for the next generation of therapies.

Authors:  E Elizabeth Patton; Kristen L Mueller; David J Adams; Niroshana Anandasabapathy; Andrew E Aplin; Corine Bertolotto; Marcus Bosenberg; Craig J Ceol; Christin E Burd; Ping Chi; Meenhard Herlyn; Sheri L Holmen; Florian A Karreth; Charles K Kaufman; Shaheen Khan; Sebastian Kobold; Eleonora Leucci; Carmit Levy; David B Lombard; Amanda W Lund; Kerrie L Marie; Jean-Christophe Marine; Richard Marais; Martin McMahon; Carla Daniela Robles-Espinoza; Ze'ev A Ronai; Yardena Samuels; Maria S Soengas; Jessie Villanueva; Ashani T Weeraratna; Richard M White; Iwei Yeh; Jiyue Zhu; Leonard I Zon; Marc S Hurlbert; Glenn Merlino
Journal:  Cancer Cell       Date:  2021-02-04       Impact factor: 31.743

Review 6.  Contrasting genetic architectures in different mouse reference populations used for studying complex traits.

Authors:  David A Buchner; Joseph H Nadeau
Journal:  Genome Res       Date:  2015-05-07       Impact factor: 9.043

Review 7.  Systems genetics analysis of oral squamous cell carcinoma susceptibility using the mouse model: current position and new perspective.

Authors:  Aysar Nashef; Nayrouz Qahaz; Imad Abu El-Naaj; Fuad A Iraqi
Journal:  Mamm Genome       Date:  2021-06-21       Impact factor: 2.957

8.  Genetic mapping of novel modifiers for ApcMin induced intestinal polyps' development using the genetic architecture power of the collaborative cross mice.

Authors:  Alexandra Dorman; Ilona Binenbaum; Hanifa J Abu-Toamih Atamni; Aristotelis Chatziioannou; Ian Tomlinson; Richard Mott; Fuad A Iraqi
Journal:  BMC Genomics       Date:  2021-07-22       Impact factor: 3.969

9.  Necdin is a breast cancer metastasis suppressor that regulates the transcription of c-Myc.

Authors:  Minnkyong Lee; Sarah M Beggs; Derek Gildea; Sujata Bupp; Jens Lichtenberg; Niraj S Trivedi; Ying Hu; David M Bodine; Nigel P S Crawford
Journal:  Oncotarget       Date:  2015-10-13

10.  Collaborative Cross and Diversity Outbred data resources in the Mouse Phenome Database.

Authors:  Molly A Bogue; Gary A Churchill; Elissa J Chesler
Journal:  Mamm Genome       Date:  2015-08-19       Impact factor: 2.957

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