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本文引用的文献

1
Dietary fat alters pulmonary metastasis of mammary cancers through cancer autonomous and non-autonomous changes in gene expression.饮食中的脂肪通过改变基因表达的肿瘤自主性和非自主性变化来影响乳腺癌的肺转移。
Clin Exp Metastasis. 2010 Feb;27(2):107-16. doi: 10.1007/s10585-009-9302-7. Epub 2010 Feb 12.
2
An integrated genomic analysis of lung cancer reveals loss of DUSP4 in EGFR-mutant tumors.肺癌的综合基因组分析揭示了EGFR突变肿瘤中双特异性磷酸酶4(DUSP4)的缺失。
Oncogene. 2009 Aug 6;28(31):2773-83. doi: 10.1038/onc.2009.135. Epub 2009 Jun 15.
3
A common and unstable copy number variant is associated with differences in Glo1 expression and anxiety-like behavior.一种常见且不稳定的拷贝数变异与Glo1表达差异及焦虑样行为有关。
PLoS One. 2009;4(3):e4649. doi: 10.1371/journal.pone.0004649. Epub 2009 Mar 6.
4
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.高脂饮食诱导肥胖和非酒精性脂肪性肝病小鼠肝脏和脂肪组织中调节脂肪生成的转录因子和基因表达改变。
Eur J Gastroenterol Hepatol. 2008 Sep;20(9):843-54. doi: 10.1097/MEG.0b013e3282f9b203.
5
Mechanism of anticancer activity of buforin IIb, a histone H2A-derived peptide.蟾蜍灵IIb(一种源自组蛋白H2A的肽)的抗癌活性机制。
Cancer Lett. 2008 Nov 18;271(1):47-55. doi: 10.1016/j.canlet.2008.05.041. Epub 2008 Jul 9.
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7
The Diasporin Pathway: a tumor progression-related transcriptional network that predicts breast cancer survival.分散素途径:一种与肿瘤进展相关的转录网络,可预测乳腺癌的生存率。
Clin Exp Metastasis. 2008;25(4):357-69. doi: 10.1007/s10585-008-9146-6. Epub 2008 Feb 27.
8
Genotype X diet interactions in mice predisposed to mammary cancer: II. Tumors and metastasis.易患乳腺癌小鼠的基因型与饮食相互作用:II. 肿瘤与转移
Mamm Genome. 2008 Mar;19(3):179-89. doi: 10.1007/s00335-008-9096-y. Epub 2008 Feb 21.
9
Genotype X diet interactions in mice predisposed to mammary cancer. I. Body weight and fat.易患乳腺癌小鼠的基因型与饮食相互作用。I. 体重与脂肪。
Mamm Genome. 2008 Mar;19(3):163-78. doi: 10.1007/s00335-008-9095-z. Epub 2008 Feb 20.
10
Rrp1b, a new candidate susceptibility gene for breast cancer progression and metastasis.Rrp1b,一种乳腺癌进展和转移的新候选易感基因。
PLoS Genet. 2007 Nov;3(11):e214. doi: 10.1371/journal.pgen.0030214. Epub 2007 Oct 16.

膳食脂肪依赖性转录结构和与乳腺癌转移修饰物相关的拷贝数改变。

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

机构信息

Department of Nutrition, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA.

出版信息

Clin Exp Metastasis. 2010 May;27(5):279-93. doi: 10.1007/s10585-010-9326-z. Epub 2010 Mar 31.

DOI:10.1007/s10585-010-9326-z
PMID:20354763
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4397665/
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.

摘要

乳腺癌是一种复杂的疾病,由遗传和环境因素共同作用导致。在环境因素中,身体成分和特定膳食成分(如总脂肪)的摄入与乳腺癌发病率和转移的增加有关。我们之前的研究表明,高脂饮食喂养的小鼠比标准饮食喂养的小鼠具有更短的乳腺癌潜伏期、更大的肿瘤生长和更多的肺转移。随后的遗传分析确定了几种转移性乳腺癌的修饰基因,以及癌症修饰基因与膳食脂肪之间的广泛相互作用。为了阐明与饮食相关的乳腺癌和转移风险的遗传修饰基因,我们测量了来自乳腺肿瘤的全基因表达谱和拷贝数改变,并鉴定了表达数量性状基因座(eQTL)。与先前检测到的转移修饰基因共定位的功能候选基因被鉴定出来。其他分析,如与膳食脂肪相互作用分析、因果关系和数据库评估的 eQTL,有助于进一步细化候选基因座,产生一组潜在参与转移性乳腺癌发病机制的基因。