Rare key functional domain missense substitutions in MRE11A, RAD50, and NBN contribute to breast cancer susceptibility: results from a Breast Cancer Family Registry case-control mutation-screening study

被引:81
|
作者
Damiola, Francesca [1 ,2 ]
Pertesi, Maroulio [1 ]
Oliver, Javier [1 ]
Le Calvez-Kelm, Florence [1 ]
Voegele, Catherine [1 ]
Young, Erin L. [3 ]
Robinot, Nivonirina [1 ]
Forey, Nathalie [1 ]
Durand, Geoffroy [1 ]
Vallee, Maxime P. [1 ]
Tao, Kayoko [3 ]
Roane, Terrell C. [4 ]
Williams, Gareth J. [5 ]
Hopper, John L. [6 ,13 ]
Southey, Melissa C. [7 ]
Andrulis, Irene L. [8 ]
John, Esther M. [9 ,12 ]
Goldgar, David E. [10 ]
Lesueur, Fabienne [1 ,11 ]
Tavtigian, Sean V. [3 ]
机构
[1] Int Agcy Res Canc, Genet Canc Susceptibil Grp, F-69372 Lyon, France
[2] Canc Res Ctr Lyon, Genet Breast Canc Grp, F-69008 Lyon, France
[3] Univ Utah, Sch Med, Huntsman Canc Inst, Dept Oncol Sci, Salt Lake City, UT 84112 USA
[4] Univ Texas Austin, Austin, TX 78712 USA
[5] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Life Sci Div, Berkeley, CA 94720 USA
[6] Univ Melbourne, Sch Populat & Global Hlth, Ctr Biostat & Epidemiol, Melbourne, Vic 3010, Australia
[7] Univ Melbourne, Genet Epidemiol Lab, Melbourne, Vic 3010, Australia
[8] Univ Toronto, Mt Sinai Hosp, Lunenfeld Tanenbaum Res Inst, Dept Mol Genet, Toronto, ON M5G 1X5, Canada
[9] Canc Prevent Inst Calif, Fremont, CA 94538 USA
[10] Univ Utah, Sch Med, Huntsman Canc Inst, Dept Dermatol, Salt Lake City, UT 84112 USA
[11] Mines ParisTech, Inst Curie, INSERM, Genet Epidemiol Canc Team,U900, F-75248 Paris, France
[12] Stanford Univ, Sch Med, Stanford, CA 94305 USA
[13] Seoul Natl Univ, Sch Publ Hlth, Dept Epidemiol, Genome Epidemiol Lab, Seoul 151742, South Korea
来源
BREAST CANCER RESEARCH | 2014年 / 16卷 / 03期
基金
美国国家卫生研究院;
关键词
DNA-REPAIR; NBS1; COMPLEX; RISK; GENES; CLASSIFICATION; PREDISPOSITION; EPIDEMIOLOGY; HOMOZYGOSITY; ARCHITECTURE;
D O I
10.1186/bcr3669
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction: The MRE11A-RAD50-Nibrin (MRN) complex plays several critical roles related to repair of DNA double-strand breaks. Inherited mutations in the three components predispose to genetic instability disorders and the MRN genes have been implicated in breast cancer susceptibility, but the underlying data are not entirely convincing. Here, we address two related questions: (1) are some rare MRN variants intermediate-risk breast cancer susceptibility alleles, and if so (2) do the MRN genes follow a BRCA1/BRCA2 pattern wherein most susceptibility alleles are protein-truncating variants, or do they follow an ATM/CHEK2 pattern wherein half or more of the susceptibility alleles are missense substitutions? Methods: Using high-resolution melt curve analysis followed by Sanger sequencing, we mutation screened the coding exons and proximal splice junction regions of the MRN genes in 1,313 early-onset breast cancer cases and 1,123 population controls. Rare variants in the three genes were pooled using bioinformatics methods similar to those previously applied to ATM, BRCA1, BRCA2, and CHEK2, and then assessed by logistic regression. Results: Re-analysis of our ATM, BRCA1, and BRCA2 mutation screening data revealed that these genes do not harbor pathogenic alleles (other than modest-risk SNPs) with minor allele frequencies > 0.1% in Caucasian Americans, African Americans, or East Asians. Limiting our MRN analyses to variants with allele frequencies of < 0.1% and combining protein-truncating variants, likely spliceogenic variants, and key functional domain rare missense substitutions, we found significant evidence that the MRN genes are indeed intermediate-risk breast cancer susceptibility genes (odds ratio (OR) = 2.88, P = 0.0090). Key domain missense substitutions were more frequent than the truncating variants (24 versus 12 observations) and conferred a slightly higher OR (3.07 versus 2.61) with a lower P value (0.029 versus 0.14). Conclusions: These data establish that MRE11A, RAD50, and NBN are intermediate-risk breast cancer susceptibility genes. Like ATM and CHEK2, their spectrum of pathogenic variants includes a relatively high proportion of missense substitutions. However, the data neither establish whether variants in each of the three genes are best evaluated under the same analysis model nor achieve clinically actionable classification of individual variants observed in this study.
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页数:16
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