Dietary fat-dependent transcriptional architecture and copy number alterations associated with modifiers of mammary cancer metastasis

被引:7
作者
Gordon, Ryan R. [1 ,2 ]
La Merrill, Michele [6 ]
Hunter, Kent W. [7 ]
Sorensen, Peter [8 ]
Threadgill, David W. [1 ,3 ,5 ]
Pomp, Daniel [2 ,3 ,4 ,5 ]
机构
[1] N Carolina State Univ, Dept Genet, Raleigh, NC 27695 USA
[2] Univ N Carolina, Dept Nutr, Chapel Hill, NC 27599 USA
[3] Univ N Carolina, Dept Genet, Chapel Hill, NC 27599 USA
[4] Univ N Carolina, Dept Cell & Mol Physiol, Chapel Hill, NC 27599 USA
[5] Univ N Carolina, Lineberger Comprehens Canc Ctr, Chapel Hill, NC 27599 USA
[6] Mt Sinai Sch Med, Dept Prevent Med, New York, NY 10029 USA
[7] NCI, Lab Canc Biol & Genet, NIH, Bethesda, MD 20892 USA
[8] Aarhus Univ, Dept Genet & Biotechnol, Fac Agr Sci, Aarhus, Denmark
关键词
Breast cancer; Causality; eQTL; High-fat diet; Tumors; BREAST-CANCER; GENE-EXPRESSION; MICE; DISEASE; TUMORS; MICROARRAY; MUTATIONS; BEHAVIOR; PLATFORM; OBESITY;
D O I
10.1007/s10585-010-9326-z
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Breast cancer is a complex disease resulting from a combination of genetic and environmental factors. Among environmental factors, body composition and intake of specific dietary components like total fat are associated with increased incidence of breast cancer and metastasis. We previously showed that mice fed a high-fat diet have shorter mammary cancer latency, increased tumor growth and more pulmonary metastases than mice fed a standard diet. Subsequent genetic analysis identified several modifiers of metastatic mammary cancer along with widespread interactions between cancer modifiers and dietary fat. To elucidate diet-dependent genetic modifiers of mammary cancer and metastasis risk, global gene expression profiles and copy number alterations from mammary cancers were measured and expression quantitative trait loci (eQTL) identified. Functional candidate genes that colocalized with previously detected metastasis modifiers were identified. Additional analyses, such as eQTL by dietary fat interaction analysis, causality and database evaluations, helped to further refine the candidate loci to produce an enriched list of genes potentially involved in the pathogenesis of metastatic mammary cancer.
引用
收藏
页码:279 / 293
页数:15
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