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乳腺癌流行病学中的基因表达分析:挪威女性与癌症后基因组队列研究

Gene expression analyses in breast cancer epidemiology: the Norwegian Women and Cancer postgenome cohort study.

作者信息

Dumeaux Vanessa, Børresen-Dale Anne-Lise, Frantzen Jan-Ole, Kumle Merethe, Kristensen Vessela N, Lund Eiliv

机构信息

Institute of Community Medicine, University of Tromsø, 9037 Tromsø, Norway.

出版信息

Breast Cancer Res. 2008;10(1):R13. doi: 10.1186/bcr1859. Epub 2008 Feb 13.

Abstract

INTRODUCTION

The introduction of high-throughput technologies, also called -omics technologies, into epidemiology has raised the need for high-quality observational studies to reduce several sources of error and bias.

METHODS

The Norwegian Women and Cancer (NOWAC) postgenome cohort study consists of approximately 50,000 women born between 1943 and 1957 who gave blood samples between 2003 and 2006 and filled out a two-page questionnaire. Blood was collected in such a way that RNA is preserved and can be used for gene expression analyses. The women are part of the NOWAC study consisting of 172,471 women 30 to 70 years of age at recruitment from 1991 to 2006 who answered one to three questionnaires on diet, medication use, and lifestyle. In collaboration with the Norwegian Breast Cancer Group, every NOWAC participant born between 1943 and 1957 who is admitted to a collaborating hospital for a diagnostic biopsy or for surgery of breast cancer will be asked to donate a tumor biopsy and two blood samples. In parallel, at least three controls are approached for each breast cancer case in order to obtain blood samples from at least two controls per case. The controls are drawn at random from NOWAC matched by time of follow-up and age. In addition, 400 normal breast tissues as well as blood samples will be collected among healthy women participating at the Norwegian Mammography Screening program at the Breast Imaging Center at the University Hospital of North-Norway, Tromsø.

RESULTS

The NOWAC postgenome cohort offers a unique opportunity (a) to study blood-derived gene expression profiles as a diagnostic test for breast cancer in a nested case-control design with adjustment for confounding factors related to different exposures, (b) to improve the reliability and accuracy of this approach by adjusting for an individual's genotype (for example, variants in genes coding for hormone and drug-metabolizing and detoxifying enzymes), (c) to study gene expression profiles from peripheral blood as surrogate tissue to biomonitor defined exposure (for example, hormone) and its association with disease risk (that is, breast cancer), and (d) to study gene variants (single nucleotide polymorphisms and copy number variations) and environmental exposure (endogenous and exogenous hormones) and their influence on the incidence of different molecular subtypes of breast cancer.

CONCLUSION

The NOWAC postgenome cohort combining a valid epidemiological approach with richness of biological samples should make an important contribution to the study of the etiology and system biology of breast cancer.

摘要

引言

高通量技术,也称为“组学”技术,引入流行病学领域后,对高质量观察性研究的需求增加,以减少多种误差和偏倚来源。

方法

挪威女性与癌症(NOWAC)后基因组队列研究包括约50000名出生于1943年至1957年之间的女性,她们在2003年至2006年期间提供了血样,并填写了一份两页的问卷。采血方式能保存RNA,可用于基因表达分析。这些女性是NOWAC研究的一部分,该研究包括172471名年龄在30至70岁之间的女性,她们于1991年至2006年期间入组,回答了一至三份关于饮食、用药和生活方式的问卷。与挪威乳腺癌研究小组合作,每一位出生于1943年至1957年之间、因诊断性活检或乳腺癌手术而入住合作医院的NOWAC参与者都将被要求捐赠一份肿瘤活检样本和两份血样。同时,为每例乳腺癌病例至少招募三名对照,以便为每例病例获取至少两份对照的血样。对照从NOWAC中随机抽取,按随访时间和年龄进行匹配。此外,将在挪威特罗姆瑟大学医院乳腺影像中心参加挪威乳腺钼靶筛查项目的健康女性中收集400份正常乳腺组织以及血样。

结果

NOWAC后基因组队列提供了一个独特的机会:(a)在巢式病例对照设计中,通过调整与不同暴露相关的混杂因素,研究血液来源的基因表达谱作为乳腺癌的诊断测试;(b)通过调整个体基因型(例如,编码激素、药物代谢和解毒酶的基因中的变异)来提高这种方法的可靠性和准确性;(c)研究外周血中的基因表达谱作为替代组织,以生物监测特定暴露(例如,激素)及其与疾病风险(即乳腺癌)的关联;(d)研究基因变异(单核苷酸多态性和拷贝数变异)和环境暴露(内源性和外源性激素)及其对乳腺癌不同分子亚型发病率的影响。

结论

NOWAC后基因组队列将有效的流行病学方法与丰富的生物样本相结合,应为乳腺癌病因学和系统生物学的研究做出重要贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d1a/2374969/ad34b9955549/bcr1859-1.jpg

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