Skip to main content
Top
Published in: Clinical & Experimental Metastasis 5/2010

01-05-2010 | Research Paper

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

Authors: Ryan R. Gordon, Michele La Merrill, Kent W. Hunter, Peter Sørensen, David W. Threadgill, Daniel Pomp

Published in: Clinical & Experimental Metastasis | Issue 5/2010

Login to get access

Abstract

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.
Literature
1.
go back to reference Rohan TE, Li SQ, Hartwick R, et al. (2006) p53 Alterations and protein accumulation in benign breast tissue and breast cancer risk: a cohort study. Cancer epidemiology, biomarkers & prevention: a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 15(7): 1316–1323 Rohan TE, Li SQ, Hartwick R, et al. (2006) p53 Alterations and protein accumulation in benign breast tissue and breast cancer risk: a cohort study. Cancer epidemiology, biomarkers & prevention: a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 15(7): 1316–1323
2.
go back to reference Song CG, Hu Z, Wu J et al (2006) The prevalence of BRCA1 and BRCA2 mutations in eastern Chinese women with breast cancer. J Cancer Res Clin Oncol 132(10):617–626CrossRefPubMed Song CG, Hu Z, Wu J et al (2006) The prevalence of BRCA1 and BRCA2 mutations in eastern Chinese women with breast cancer. J Cancer Res Clin Oncol 132(10):617–626CrossRefPubMed
3.
go back to reference Walsh T, Casadei S, Coats KH et al (2006) Spectrum of mutations in BRCA1, BRCA2, CHEK2, and TP53 in families at high risk of breast cancer. JAMA J Am Med Assoc 295(12):1379–1388CrossRef Walsh T, Casadei S, Coats KH et al (2006) Spectrum of mutations in BRCA1, BRCA2, CHEK2, and TP53 in families at high risk of breast cancer. JAMA J Am Med Assoc 295(12):1379–1388CrossRef
4.
go back to reference Gordon RR, Hunter KW, Sorensen P et al (2008) Genotype X diet interactions in mice predisposed to mammary cancer. I. Body weight and fat. Mamm Genome 19(3):163–178CrossRefPubMed Gordon RR, Hunter KW, Sorensen P et al (2008) Genotype X diet interactions in mice predisposed to mammary cancer. I. Body weight and fat. Mamm Genome 19(3):163–178CrossRefPubMed
5.
go back to reference Allan MF, Eisen EJ, Pomp D (2004) The M16 mouse: an outbred animal model of early onset polygenic obesity and diabesity. Obes Res 12(9):1397–1407CrossRefPubMed Allan MF, Eisen EJ, Pomp D (2004) The M16 mouse: an outbred animal model of early onset polygenic obesity and diabesity. Obes Res 12(9):1397–1407CrossRefPubMed
6.
go back to reference Guy CT, Cardiff RD, Muller WJ (1992) Induction of mammary tumors by expression of polyomavirus middle T oncogene: a transgenic mouse model for metastatic disease. Mol Cell Biol 12(3):954–961PubMed Guy CT, Cardiff RD, Muller WJ (1992) Induction of mammary tumors by expression of polyomavirus middle T oncogene: a transgenic mouse model for metastatic disease. Mol Cell Biol 12(3):954–961PubMed
7.
go back to reference Gordon RR, Hunter KW, La Merrill M et al (2008) Genotype X diet interactions in mice predisposed to mammary cancer: II. Tumors and metastasis. Mamm Genome 19(3):179–189CrossRefPubMed Gordon RR, Hunter KW, La Merrill M et al (2008) Genotype X diet interactions in mice predisposed to mammary cancer: II. Tumors and metastasis. Mamm Genome 19(3):179–189CrossRefPubMed
8.
go back to reference La Merrill M, Gordon RR, Hunter KW et al (2010) Dietary fat alters pulmonary metastasis of mammary cancers through cancer autonomous and non-autonomous changes in gene expression. Clin Exp Metastasis 27(2):107–116CrossRefPubMed La Merrill M, Gordon RR, Hunter KW et al (2010) Dietary fat alters pulmonary metastasis of mammary cancers through cancer autonomous and non-autonomous changes in gene expression. Clin Exp Metastasis 27(2):107–116CrossRefPubMed
9.
go back to reference Allan MF, Eisen EJ, Pomp D (2005) Genomic mapping of direct and correlated responses to long-term selection for rapid growth rate in mice. Genetics 170(4):1863–1877CrossRefPubMed Allan MF, Eisen EJ, Pomp D (2005) Genomic mapping of direct and correlated responses to long-term selection for rapid growth rate in mice. Genetics 170(4):1863–1877CrossRefPubMed
10.
go back to reference Kuhn K, Baker SC, Chudin E et al (2004) A novel, high-performance random array platform for quantitative gene expression profiling. Genome Res 14(11):2347–2356CrossRefPubMed Kuhn K, Baker SC, Chudin E et al (2004) A novel, high-performance random array platform for quantitative gene expression profiling. Genome Res 14(11):2347–2356CrossRefPubMed
11.
go back to reference Du P, Kibbe WA, Lin SM (2008) lumi: a pipeline for processing Illumina microarray. Bioinformatics 24(13):1547–1548CrossRefPubMed Du P, Kibbe WA, Lin SM (2008) lumi: a pipeline for processing Illumina microarray. Bioinformatics 24(13):1547–1548CrossRefPubMed
12.
go back to reference Tusher VG, Tibshirani R, Chu G (2001) Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci U S A 98(9):5116–5121CrossRefPubMed Tusher VG, Tibshirani R, Chu G (2001) Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci U S A 98(9):5116–5121CrossRefPubMed
13.
go back to reference Storey JD (2002) A direct approach to false discovery rates. J Roy Stat Soc Ser B 64:479–498CrossRef Storey JD (2002) A direct approach to false discovery rates. J Roy Stat Soc Ser B 64:479–498CrossRef
14.
go back to reference Doss S, Schadt EE, Drake TA et al (2005) Cis-acting expression quantitative trait loci in mice. Genome Res 15(5):681–691CrossRefPubMed Doss S, Schadt EE, Drake TA et al (2005) Cis-acting expression quantitative trait loci in mice. Genome Res 15(5):681–691CrossRefPubMed
15.
go back to reference Sun W, Yu T, Li KC (2007) Detection of eQTL modules mediated by activity levels of transcription factors. Bioinformatics 23(17):2290–2297CrossRefPubMed Sun W, Yu T, Li KC (2007) Detection of eQTL modules mediated by activity levels of transcription factors. Bioinformatics 23(17):2290–2297CrossRefPubMed
16.
go back to reference Rhodes DR, Yu J, Shanker K et al (2004) ONCOMINE: a cancer microarray database and integrated data-mining platform. Neoplasia 6(1):1–6PubMed Rhodes DR, Yu J, Shanker K et al (2004) ONCOMINE: a cancer microarray database and integrated data-mining platform. Neoplasia 6(1):1–6PubMed
17.
go back to reference Crawford NP, Qian X, Ziogas A et al (2007) Rrp1b, a new candidate susceptibility gene for breast cancer progression and metastasis. PLoS Genet 3(11):e214CrossRefPubMed Crawford NP, Qian X, Ziogas A et al (2007) Rrp1b, a new candidate susceptibility gene for breast cancer progression and metastasis. PLoS Genet 3(11):e214CrossRefPubMed
18.
go back to reference Schadt EE, Lamb J, Yang X et al (2005) An integrative genomics approach to infer causal associations between gene expression and disease. Nat Genet 37(7):710–717CrossRefPubMed Schadt EE, Lamb J, Yang X et al (2005) An integrative genomics approach to infer causal associations between gene expression and disease. Nat Genet 37(7):710–717CrossRefPubMed
19.
go back to reference Eccles SA, Box G, Court W et al (1994) Preclinical models for the evaluation of targeted therapies of metastatic disease. Cell Biophys 24–25:279–291PubMed Eccles SA, Box G, Court W et al (1994) Preclinical models for the evaluation of targeted therapies of metastatic disease. Cell Biophys 24–25:279–291PubMed
20.
go back to reference Crawford NP, Walker RC, Lukes L et al (2008) The Diasporin Pathway: a tumor progression-related transcriptional network that predicts breast cancer survival. Clin Exp Metastasis 25(4):357–369CrossRefPubMed Crawford NP, Walker RC, Lukes L et al (2008) The Diasporin Pathway: a tumor progression-related transcriptional network that predicts breast cancer survival. Clin Exp Metastasis 25(4):357–369CrossRefPubMed
21.
go back to reference Yamashita S, Wakazono K, Nomoto T et al (2005) Expression quantitative trait loci analysis of 13 genes in the rat prostate. Genetics 171(3):1231–1238CrossRefPubMed Yamashita S, Wakazono K, Nomoto T et al (2005) Expression quantitative trait loci analysis of 13 genes in the rat prostate. Genetics 171(3):1231–1238CrossRefPubMed
22.
go back to reference Wang SS, Schadt EE, Wang H et al (2007) Identification of pathways for atherosclerosis in mice: integration of quantitative trait locus analysis and global gene expression data. Circ Res 101(3):e11–e30CrossRefPubMed Wang SS, Schadt EE, Wang H et al (2007) Identification of pathways for atherosclerosis in mice: integration of quantitative trait locus analysis and global gene expression data. Circ Res 101(3):e11–e30CrossRefPubMed
23.
go back to reference Morgan K, Uyuni A, Nandgiri G et al (2008) Altered expression of transcription factors and genes regulating lipogenesis in liver and adipose tissue of mice with high fat diet-induced obesity and nonalcoholic fatty liver disease. Eur J Gastroenterol Hepatol 20(9):843–854CrossRefPubMed Morgan K, Uyuni A, Nandgiri G et al (2008) Altered expression of transcription factors and genes regulating lipogenesis in liver and adipose tissue of mice with high fat diet-induced obesity and nonalcoholic fatty liver disease. Eur J Gastroenterol Hepatol 20(9):843–854CrossRefPubMed
24.
go back to reference Gong H, Guo P, Zhai Y et al (2007) Estrogen deprivation and inhibition of breast cancer growth in vivo through activation of the orphan nuclear receptor liver X receptor. Mol Endocrinol 21(8):1781–1790 (Baltimore, Md)CrossRefPubMed Gong H, Guo P, Zhai Y et al (2007) Estrogen deprivation and inhibition of breast cancer growth in vivo through activation of the orphan nuclear receptor liver X receptor. Mol Endocrinol 21(8):1781–1790 (Baltimore, Md)CrossRefPubMed
25.
go back to reference Fraga MF, Ballestar E, Villar-Garea A et al (2005) Loss of acetylation at Lys16 and trimethylation at Lys20 of histone H4 is a common hallmark of human cancer. Nat Genet 37(4):391–400CrossRefPubMed Fraga MF, Ballestar E, Villar-Garea A et al (2005) Loss of acetylation at Lys16 and trimethylation at Lys20 of histone H4 is a common hallmark of human cancer. Nat Genet 37(4):391–400CrossRefPubMed
26.
go back to reference Seligson DB, Horvath S, Shi T et al (2005) Global histone modification patterns predict risk of prostate cancer recurrence. Nature 435(7046):1262–1266CrossRefPubMed Seligson DB, Horvath S, Shi T et al (2005) Global histone modification patterns predict risk of prostate cancer recurrence. Nature 435(7046):1262–1266CrossRefPubMed
27.
go back to reference Liu Y, Tseng M, Perdreau SA et al (2007) Histone H2AX is a mediator of gastrointestinal stromal tumor cell apoptosis following treatment with imatinib mesylate. Cancer Res 67(6):2685–2692CrossRefPubMed Liu Y, Tseng M, Perdreau SA et al (2007) Histone H2AX is a mediator of gastrointestinal stromal tumor cell apoptosis following treatment with imatinib mesylate. Cancer Res 67(6):2685–2692CrossRefPubMed
28.
go back to reference Lee HS, Park CB, Kim JM et al (2008) Mechanism of anticancer activity of buforin IIb, a histone H2A-derived peptide. Cancer Lett 271(1):47–55CrossRefPubMed Lee HS, Park CB, Kim JM et al (2008) Mechanism of anticancer activity of buforin IIb, a histone H2A-derived peptide. Cancer Lett 271(1):47–55CrossRefPubMed
29.
go back to reference Sieben NL, Oosting J, Flanagan AM et al (2005) Differential gene expression in ovarian tumors reveals Dusp 4 and Serpina 5 as key regulators for benign behavior of serous borderline tumors. J Clin Oncol 23(29):7257–7264CrossRefPubMed Sieben NL, Oosting J, Flanagan AM et al (2005) Differential gene expression in ovarian tumors reveals Dusp 4 and Serpina 5 as key regulators for benign behavior of serous borderline tumors. J Clin Oncol 23(29):7257–7264CrossRefPubMed
30.
go back to reference Chitale D, Gong Y, Taylor BS et al (2009) An integrated genomic analysis of lung cancer reveals loss of DUSP4 in EGFR-mutant tumors. Oncogene 28(31):2773–2783CrossRefPubMed Chitale D, Gong Y, Taylor BS et al (2009) An integrated genomic analysis of lung cancer reveals loss of DUSP4 in EGFR-mutant tumors. Oncogene 28(31):2773–2783CrossRefPubMed
31.
go back to reference Woelfle U, Cloos J, Sauter G et al (2003) Molecular signature associated with bone marrow micrometastasis in human breast cancer. Cancer Res 63(18):5679–5684PubMed Woelfle U, Cloos J, Sauter G et al (2003) Molecular signature associated with bone marrow micrometastasis in human breast cancer. Cancer Res 63(18):5679–5684PubMed
32.
go back to reference Williams Rt, Lim JE, Harr B et al (2009) A common and unstable copy number variant is associated with differences in Glo1 expression and anxiety-like behavior. PLoS ONE 4(3):e4649CrossRefPubMed Williams Rt, Lim JE, Harr B et al (2009) A common and unstable copy number variant is associated with differences in Glo1 expression and anxiety-like behavior. PLoS ONE 4(3):e4649CrossRefPubMed
Metadata
Title
Dietary fat-dependent transcriptional architecture and copy number alterations associated with modifiers of mammary cancer metastasis
Authors
Ryan R. Gordon
Michele La Merrill
Kent W. Hunter
Peter Sørensen
David W. Threadgill
Daniel Pomp
Publication date
01-05-2010
Publisher
Springer Netherlands
Published in
Clinical & Experimental Metastasis / Issue 5/2010
Print ISSN: 0262-0898
Electronic ISSN: 1573-7276
DOI
https://doi.org/10.1007/s10585-010-9326-z

Other articles of this Issue 5/2010

Clinical & Experimental Metastasis 5/2010 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine