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本文引用的文献

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Cancer incidence among Asian American populations in the United States, 2009-2011.2009 - 2011年美国亚裔美国人中的癌症发病率。
Int J Cancer. 2016 May 1;138(9):2136-45. doi: 10.1002/ijc.29958. Epub 2016 Jan 29.
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Expression of Lipid Metabolism-Related Proteins in Metastatic Breast Cancer.转移性乳腺癌中脂质代谢相关蛋白的表达
PLoS One. 2015 Sep 3;10(9):e0137204. doi: 10.1371/journal.pone.0137204. eCollection 2015.
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Molecular portrait of breast cancer in China reveals comprehensive transcriptomic likeness to Caucasian breast cancer and low prevalence of luminal A subtype.中国乳腺癌的分子图谱显示,其与高加索人种乳腺癌在转录组学上具有广泛相似性,且腔面A型亚型的患病率较低。
Cancer Med. 2015 Jul;4(7):1016-30. doi: 10.1002/cam4.442. Epub 2015 Mar 18.
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Differences in breast cancer stage at diagnosis and cancer-specific survival by race and ethnicity in the United States.美国不同种族和族裔间乳腺癌诊断时的分期和癌症特异性生存的差异。
JAMA. 2015 Jan 13;313(2):165-73. doi: 10.1001/jama.2014.17322.
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Association of race/ethnicity, socioeconomic status, and breast cancer subtypes in the National Cancer Data Base (2010-2011).国家癌症数据库(2010 - 2011年)中种族/民族、社会经济地位与乳腺癌亚型的关联
Breast Cancer Res Treat. 2014 Jun;145(3):753-63. doi: 10.1007/s10549-014-2976-9. Epub 2014 May 3.
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Polymorphic cytochrome P450 enzymes (CYPs) and their role in personalized therapy.多态性细胞色素P450酶(CYPs)及其在个性化治疗中的作用。
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Differentially expressed transcripts and dysregulated signaling pathways and networks in African American breast cancer.非裔美国人乳腺癌中差异表达的转录本和失调的信号通路及网络。
PLoS One. 2013 Dec 4;8(12):e82460. doi: 10.1371/journal.pone.0082460. eCollection 2013.
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Pathview: an R/Bioconductor package for pathway-based data integration and visualization.Pathview:一个基于 R/Bioconductor 的用于通路数据整合和可视化的软件包。
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Targeting 20-HETE producing enzymes in cancer - rationale, pharmacology, and clinical potential.靶向 20-HETE 产生酶在癌症中的作用——原理、药理学和临床潜力。
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10
STRING v9.1: protein-protein interaction networks, with increased coverage and integration.STRING v9.1:蛋白质-蛋白质相互作用网络,具有更高的覆盖度和集成度。
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白种人和亚裔美国人乳腺癌中mRNA表达模式的综合比较及其对精准医学的意义

Integrative Comparison of mRNA Expression Patterns in Breast Cancers from Caucasian and Asian Americans with Implications for Precision Medicine.

作者信息

Shi Yanxia, Steppi Albert, Cao Ye, Wang Jianan, He Max M, Li Liren, Zhang Jinfeng

机构信息

Department of medical oncology, Sun Yet-sen University cancer center, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, State Key Laboratory of Oncology in South China, Guangdong, PR China.

Department of statistics, Florida State University, Tallahassee, FL 32306.

出版信息

Cancer Res. 2017 Jan 15;77(2):423-433. doi: 10.1158/0008-5472.CAN-16-1959. Epub 2016 Nov 15.

DOI:10.1158/0008-5472.CAN-16-1959
PMID:28069798
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5243181/
Abstract

Asian Americans (AS) have significantly lower incidence and mortality rates of breast cancer than Caucasian Americans (CA). Although this racial disparity has been documented, the underlying pathogenetic factors explaining it are obscure. We addressed this issue by an integrative genomics approach to compare mRNA expression between AS and CA cases of breast cancer. RNA-seq data from the Cancer Genome Atlas showed that mRNA expression revealed significant differences at gene and pathway levels. Increased susceptibility and severity in CA patients were likely the result of synergistic environmental and genetic risk factors, with arachidonic acid metabolism and PPAR signaling pathways implicated in linking environmental and genetic factors. An analysis that also added eQTL data from the Genotype-Tissue Expression Project and SNP data from the 1,000 Genomes Project identified several SNPs associated with differentially expressed genes. Overall, the associations we identified may enable a more focused study of genotypic differences that may help explain the disparity in breast cancer incidence and mortality rates in CA and AS populations and inform precision medicine. Cancer Res; 77(2); 423-33. ©2016 AACR.

摘要

亚裔美国人(AS)患乳腺癌的发病率和死亡率显著低于非裔美国人(CA)。尽管这种种族差异已有记录,但解释其背后的致病因素仍不清楚。我们通过综合基因组学方法来解决这个问题,比较AS和CA乳腺癌病例之间的mRNA表达。来自癌症基因组图谱的RNA测序数据表明,mRNA表达在基因和通路水平上存在显著差异。CA患者易感性和病情严重程度增加可能是环境和遗传风险因素协同作用的结果,花生四烯酸代谢和PPAR信号通路与环境和遗传因素的联系有关。一项分析还加入了来自基因型-组织表达项目的eQTL数据和来自千人基因组计划的SNP数据,确定了几个与差异表达基因相关的SNP。总体而言,我们所确定的关联可能有助于更有针对性地研究基因型差异,这可能有助于解释CA和AS人群中乳腺癌发病率和死亡率的差异,并为精准医学提供信息。《癌症研究》;77(2);423 - 33。©2016美国癌症研究协会。