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Enrollment and biospecimen collection in a multiethnic family cohort: the Northern California site of the Breast Cancer Family Registry.一个多民族家庭队列中的入组与生物样本采集:乳腺癌家族登记处北加利福尼亚站点
Cancer Causes Control. 2019 Apr;30(4):395-408. doi: 10.1007/s10552-019-01154-6. Epub 2019 Mar 5.
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Cancer statistics for African Americans, 2019.2019 年非裔美国人癌症统计数据。
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Inherited Breast Cancer in Nigerian Women.尼日利亚妇女的遗传性乳腺癌。
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Triple-Negative Breast Cancer Risk Genes Identified by Multigene Hereditary Cancer Panel Testing.多基因遗传性癌症Panel 检测鉴定三阴性乳腺癌风险基因。
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Association Between Inherited Germline Mutations in Cancer Predisposition Genes and Risk of Pancreatic Cancer.遗传性癌症易感基因种系突变与胰腺癌风险的关联。
JAMA. 2018 Jun 19;319(23):2401-2409. doi: 10.1001/jama.2018.6228.
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Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations.BRCA1 或 BRCA2 突变 29700 个家系的世界性研究中的突变谱。
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The Sister Study Cohort: Baseline Methods and Participant Characteristics.姐妹研究队列:基线方法和参与者特征。
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Associations Between Cancer Predisposition Testing Panel Genes and Breast Cancer.癌症易感性检测panel 基因与乳腺癌的相关性研究。
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Gaps in Incorporating Germline Genetic Testing Into Treatment Decision-Making for Early-Stage Breast Cancer.将生殖系基因检测纳入早期乳腺癌治疗决策过程中的差距。
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胚系易感性基因突变对非裔美国女性乳腺癌风险的贡献。

Contribution of Germline Predisposition Gene Mutations to Breast Cancer Risk in African American Women.

机构信息

Department of Medicine, Boston University School of Medicine, and Slone Epidemiology Center, Boston, MA 02118, USA.

Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA.

出版信息

J Natl Cancer Inst. 2020 Dec 14;112(12):1213-1221. doi: 10.1093/jnci/djaa040.

DOI:10.1093/jnci/djaa040
PMID:32427313
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7735769/
Abstract

BACKGROUND

The risks of breast cancer in African American (AA) women associated with inherited mutations in breast cancer predisposition genes are not well defined. Thus, whether multigene germline hereditary cancer testing panels are applicable to this population is unknown. We assessed associations between mutations in panel-based genes and breast cancer risk in 5054 AA women with breast cancer and 4993 unaffected AA women drawn from 10 epidemiologic studies.

METHODS

Germline DNA samples were sequenced for mutations in 23 cancer predisposition genes using a QIAseq multiplex amplicon panel. Prevalence of mutations and odds ratios (ORs) for associations with breast cancer risk were estimated with adjustment for study design, age, and family history of breast cancer.

RESULTS

Pathogenic mutations were identified in 10.3% of women with estrogen receptor (ER)-negative breast cancer, 5.2% of women with ER-positive breast cancer, and 2.3% of unaffected women. Mutations in BRCA1, BRCA2, and PALB2 were associated with high risks of breast cancer (OR = 47.55, 95% confidence interval [CI] = 10.43 to >100; OR = 7.25, 95% CI = 4.07 to 14.12; OR = 8.54, 95% CI = 3.67 to 24.95, respectively). RAD51D mutations were associated with high risk of ER-negative disease (OR = 7.82, 95% CI = 1.61 to 57.42). Moderate risks were observed for CHEK2, ATM, ERCC3, and FANCC mutations with ER-positive cancer, and RECQL mutations with all breast cancer.

CONCLUSIONS

The study identifies genes that predispose to breast cancer in the AA population, demonstrates the validity of current breast cancer testing panels for use in AA women, and provides a basis for increased referral of AA patients for cancer genetic testing.

摘要

背景

非洲裔美国(AA)女性中与乳腺癌易感性基因遗传突变相关的乳腺癌风险尚不清楚。因此,多基因种系遗传性癌症检测面板是否适用于这一人群尚不清楚。我们评估了基于面板的基因中的突变与 5054 名患有乳腺癌的 AA 女性和 4993 名未受影响的 AA 女性之间的关联,这些女性来自 10 项流行病学研究。

方法

使用 QIAseq 多重扩增子面板对 23 个癌症易感性基因的种系 DNA 样本进行测序,以检测突变。使用研究设计、年龄和乳腺癌家族史调整后,估计突变的患病率和与乳腺癌风险相关的比值比(OR)。

结果

在雌激素受体(ER)阴性乳腺癌女性中发现了 10.3%、ER 阳性乳腺癌女性中发现了 5.2%和未受影响女性中发现了 2.3%的致病性突变。BRCA1、BRCA2 和 PALB2 中的突变与乳腺癌的高风险相关(OR=47.55,95%置信区间[CI]=10.43 至>100;OR=7.25,95%CI=4.07 至 14.12;OR=8.54,95%CI=3.67 至 24.95)。RAD51D 突变与 ER 阴性疾病的高风险相关(OR=7.82,95%CI=1.61 至 57.42)。CHEK2、ATM、ERCC3 和 FANCC 突变与 ER 阳性乳腺癌相关,RECQL 突变与所有乳腺癌相关,这些突变与 ER 阳性乳腺癌相关,风险适中。

结论

该研究确定了 AA 人群中易患乳腺癌的基因,证明了当前乳腺癌检测面板在 AA 女性中的有效性,并为增加 AA 患者进行癌症遗传检测提供了依据。