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Lipid metabolism genes in contralateral unaffected breast and estrogen receptor status of breast cancer

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NIAID Data Ecosystem2026-03-09 收录
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https://www.omicsdi.org/dataset/biostudies-other/S-ECPF-GEOD-41400
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资源简介:
The contralateral unaffected breast of women with unilateral breast cancer (cases) is a good model for defining subtype-specific risk since women with ER-negative index primaries are at high risk for subsequent ER-negative primary cancers. We performed random fine needle aspiration (rFNA) of the unaffected breasts of cases; samples from 30 subjects (15 ER-positive and 15 ER-negative cases matched for age, race and menopausal status), were used for Illumina expression array analysis. In this study, we have examined gene expression profiles in random fine needle aspirate (rFNA) samples from the contralateral breasts of women with new unilateral breast cancer (cases) to seek candidate panels of ER-specific risk biomarkers. On a discovery set of 30 women, we have identified gene expression differences in the contralateral breast that associate with ER+ or ER- index primary tumors.

患有单侧乳腺癌的女性的对侧未受累乳腺(病例组)是构建亚型特异性风险模型的优良体系,因为雌激素受体(ER)阴性首发原发肿瘤患者后续发生ER阴性原发肿瘤的风险显著升高。我们对病例组的对侧未受累乳腺实施随机细针穿刺抽吸术(rFNA);最终纳入30名年龄、种族及绝经状态匹配的受试者(含15名ER阳性病例与15名ER阴性病例)的样本,用于Illumina表达谱芯片分析。本研究针对新发单侧乳腺癌女性的对侧乳腺随机细针穿刺抽吸物(rFNA)样本开展基因表达谱分析,旨在筛选ER特异性风险生物标志物候选组合。在包含30名女性的发现集中,我们已鉴定出与ER阳性或ER阴性首发原发肿瘤相关的对侧乳腺基因表达差异。
创建时间:
2016-04-14
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