Integrative investigation on breast cancer in ER, PR and HER2-defined subgroups using mRNA and miRNA expression profiling.

Integrative investigation on breast cancer in ER, PR and HER2-defined subgroups using mRNA and miRNA expression profiling.
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使用 mRNA 和 miRNA 表达谱对 ER、PR 和 HER2 定义的乳腺癌亚组进行综合研究

DOI:
10.1038/srep06566
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发表时间:
2014-10-23
期刊:
影响因子:
4.6
通讯作者:
Bai Z
Bai Z
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Dai X;Chen A;Bai Z

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探讨乳腺癌亚型间的分子差异对于了解乳腺癌的异质性和寻求有效的临床治疗具有重要意义。为此,包括免疫组织化学标记物和各种高通量基因组学方法在内的几层信息已被广泛使用。在这里,我们已经探索了内在的差异,乳腺癌的激素受体ER和PR的免疫组化表达(IHC)以及人类表皮生长因子受体2(HER 2)的115个肿瘤的mRNA和miRNA表达谱定义的亚组。通过表皮生长因子受体和细胞角蛋白5/6 IHC表达进一步定义核心基底组,并与三阴性组进行比较。发现一组差异表达基因,包括1015个mRNA和69个miRNA,以区分肿瘤亚型,其一般性使用两个独立的数据集证明。探索了每个亚型的网络,发现生物量合成信号在核心基底亚群中起重要作用。本研究通过整合mRNA和miRNA的表达,有助于阐明乳腺癌ER、PR和HER 2表达亚组之间的内在联系。本研究结果可为乳腺癌的功能研究及临床应用提供参考。
Exploring the molecular difference among breast cancer subtypes is of crucial importance in understanding its heterogeneity and seeking its effective clinical treatment. For this, several layers of information including immunohistochemical markers and a variety of high-throughput genomics approaches have been intensively used. Here we have explored the intrinsic differences among breast cancer subgroups defined by immunohistochemical expression (IHC) of hormone receptors ER and PR as well as human epidermal growth factor receptor 2 (HER2) using the mRNA and miRNA expression profiles of 115 tumors. A core basal group was further defined by epidermal growth factor receptor and cytokeratin 5/6 IHC expression and compared to triple negative group. A set of differentially expressed genes including 1015 mRNAs and 69 miRNAs was found to distinguish tumor subtypes whose generality was demonstrated using two independent data sets. The network was explored for each subtype and biomass synthesis signaling was found to play an important role in the core basal subgroup. This study contributes to elucidating the intrinsic relations among breast cancer subgroups defined by ER, PR and HER2 expression via integrating mRNA and miRNA expression. The results can avail functional studies of breast cancer with translational potential for clinical use.
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