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Cancer Res. 2012 Mar 1;72(5):1182-9. doi: 10.1158/0008-5472.CAN-11-2561. Epub 2012 Jan 9.
2
Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes: findings from the Breast Cancer Association Consortium.低外显率乳腺癌易感基因座与特定的乳腺癌肿瘤亚型相关:来自乳腺癌协会联盟的研究结果。
Hum Mol Genet. 2011 Aug 15;20(16):3289-303. doi: 10.1093/hmg/ddr228. Epub 2011 May 19.
3
Predictive and prognostic impact of TP53 mutations and MDM2 promoter genotype in primary breast cancer patients treated with epirubicin or paclitaxel.原发性乳腺癌患者采用表柔比星或紫杉醇治疗后,TP53 基因突变和 MDM2 启动子基因型的预测和预后影响。
PLoS One. 2011 Apr 27;6(4):e19249. doi: 10.1371/journal.pone.0019249.
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Prognostic relevance of the AQP5 -1364C>A polymorphism in primary breast cancer.水通道蛋白5(AQP5)-1364C>A多态性在原发性乳腺癌中的预后相关性。
Mol Med Rep. 2009 Jul-Aug;2(4):645-50. doi: 10.3892/mmr_00000151.
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Transcriptional consequences of genomic structural aberrations in breast cancer.乳腺癌基因组结构异常的转录后果。
Genome Res. 2011 May;21(5):676-87. doi: 10.1101/gr.113225.110. Epub 2011 Apr 5.
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Breast Cancer Res Treat. 2011 Aug;129(1):235-45. doi: 10.1007/s10549-011-1460-z. Epub 2011 Apr 1.
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Genetic polymorphisms and breast cancer risk: evidence from meta-analyses, pooled analyses, and genome-wide association studies.遗传多态性与乳腺癌风险:荟萃分析、合并分析和全基因组关联研究的证据。
Breast Cancer Res Treat. 2011 Jun;127(2):309-24. doi: 10.1007/s10549-011-1459-5. Epub 2011 Mar 29.
8
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Association between polymorphisms of trinucleotide repeat containing 9 gene and breast cancer risk: evidence from 62,005 subjects.三核苷酸重复序列 9 基因多态性与乳腺癌风险的关联:来自 62005 名受试者的证据。
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Incidence of breast cancer and its subtypes in relation to individual and multiple low-penetrance genetic susceptibility loci.个体和多个低外显率遗传易感基因座与乳腺癌及其亚型发病风险的关系。
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八个全基因组关联研究鉴定的单核苷酸多态性与原发性乳腺癌结局的关系。

The relationship between eight GWAS-identified single-nucleotide polymorphisms and primary breast cancer outcomes.

机构信息

Department of Medical Oncology, Mercy Cancer Center, Ardmore, Oklahoma, USA.

出版信息

Oncologist. 2013;18(5):493-500. doi: 10.1634/theoncologist.2012-0419. Epub 2013 May 1.

DOI:10.1634/theoncologist.2012-0419
PMID:23635555
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3662839/
Abstract

BACKGROUND

Several single-nucleotide polymorphisms (SNPs) associated with breast cancer risk have been identified through genome-wide association studies (GWAS). We investigated whether eight risk SNPs identified in GWAS were associated with breast cancer disease-free survival (DFS) and overall survival (OS) rates.

PATIENTS AND METHODS

A cohort of 739 white women with early-stage breast cancer was genotyped for eight GWAS-identified SNPs (rs2981582, rs1219648 [FGFR2], rs3803662, rs12443621, rs8051542 [TOX3], rs999737 [RAD51L1], rs6504950 [17q23], and rs4973768 [3p24]). Relationships between SNPs and breast cancer outcomes were evaluated using Cox proportional hazard regression models. The cumulative effects of SNPs on breast cancer outcomes were assessed by computing the number of at-risk genotypes.

RESULTS

At a median follow-up of 121 months (range: 188-231 months) for survivors, 237 deaths (32%) and 186 breast cancer events (25%) were identified among the 739 patients. After adjusting for age, clinical stage, and treatment, rs12443621 (16q12; p = .03) and rs6504950 (17q23; p = .008) were prognostic for OS but not DFS. A higher risk for death was also found in the multivariable analysis of patients harboring three or four at-risk genotypes of the GWAS SNPs compared to patients carrying two or less at-risk genotypes (hazard ratio: 1.60, 95% confidence interval: 1.23-2.24; p = .0008).

CONCLUSION

The study results suggest that previously identified breast cancer risk susceptibility loci, rs12443621 (16q12) and rs6504950 (17q23), may influence breast cancer prognosis or comorbid conditions associated with overall survival. The precise molecular mechanisms through which these risk SNPs, as well as others that were not included in the analysis, influence clinical outcomes remain to be determined.

摘要

背景

通过全基因组关联研究(GWAS)已经确定了几个与乳腺癌风险相关的单核苷酸多态性(SNP)。我们研究了 GWAS 中确定的八个风险 SNP 是否与乳腺癌无病生存期(DFS)和总生存期(OS)相关。

患者和方法

对 739 名患有早期乳腺癌的白人女性进行了 8 个 GWAS 确定的 SNP(rs2981582、rs1219648 [FGFR2]、rs3803662、rs12443621、rs8051542 [TOX3]、rs999737 [RAD51L1]、rs6504950 [17q23]和 rs4973768 [3p24])的基因分型。使用 Cox 比例风险回归模型评估 SNP 与乳腺癌结局之间的关系。通过计算危险基因型的数量来评估 SNP 对乳腺癌结局的累积影响。

结果

在幸存者的中位随访时间为 121 个月(范围:188-231 个月)时,739 名患者中有 237 例死亡(32%)和 186 例乳腺癌事件(25%)。在校正年龄、临床分期和治疗后,rs12443621(16q12;p=.03)和 rs6504950(17q23;p=.008)与 OS 相关,但与 DFS 无关。在多变量分析中,与携带两个或更少危险基因型的患者相比,携带三个或四个 GWAS SNP 危险基因型的患者的死亡风险也更高(危险比:1.60,95%置信区间:1.23-2.24;p=0.0008)。

结论

研究结果表明,先前确定的乳腺癌风险易感性位点 rs12443621(16q12)和 rs6504950(17q23)可能影响乳腺癌预后或与总生存期相关的合并症。这些风险 SNP 以及未纳入分析的其他 SNP 影响临床结局的确切分子机制仍有待确定。