Laboratorio de Genómica del Cáncer, Instituto Nacional de Medicina Genómica. Mexico City, Mexico.
PLoS One. 2012;7(3):e31904. doi: 10.1371/journal.pone.0031904. Epub 2012 Mar 16.
microRNA expression signatures can differentiate normal and breast cancer tissues and can define specific clinico-pathological phenotypes in breast tumors. In order to further evaluate the microRNA expression profile in breast cancer, we analyzed the expression of 667 microRNAs in 29 tumors and 21 adjacent normal tissues using TaqMan Low-density arrays. 130 miRNAs showed significant differential expression (adjusted P value = 0.05, Fold Change = 2) in breast tumors compared to the normal adjacent tissue. Importantly, the role of 43 of these microRNAs has not been previously reported in breast cancer, including several evolutionary conserved microRNA*, showing similar expression rates to that of their corresponding leading strand. The expression of 14 microRNAs was replicated in an independent set of 55 tumors. Bioinformatic analysis of mRNA targets of the altered miRNAs, identified oncogenes like ERBB2, YY1, several MAP kinases, and known tumor-suppressors like FOXA1 and SMAD4. Pathway analysis identified that some biological process which are important in breast carcinogenesis are affected by the altered microRNA expression, including signaling through MAP kinases and TP53 pathways, as well as biological processes like cell death and communication, focal adhesion and ERBB2-ERBB3 signaling. Our data identified the altered expression of several microRNAs whose aberrant expression might have an important impact on cancer-related cellular pathways and whose role in breast cancer has not been previously described.
miRNA 表达特征可区分正常组织和乳腺癌组织,并可定义乳腺癌肿瘤的特定临床病理表型。为了进一步评估乳腺癌中的 miRNA 表达谱,我们使用 TaqMan 低密度阵列分析了 29 个肿瘤和 21 个相邻正常组织中的 667 个 miRNA 的表达。与相邻正常组织相比,130 个 miRNA 在乳腺癌肿瘤中表现出显著的差异表达(调整后的 P 值=0.05,倍数变化=2)。重要的是,这些 miRNA 中有 43 个以前在乳腺癌中没有报道过,包括几个进化保守的 miRNA*,其表达率与相应的前导链相似。14 个 miRNA 的表达在另一组 55 个肿瘤中得到了复制。对改变的 miRNA 的 mRNA 靶标的生物信息学分析,鉴定出了 ERBB2、YY1、几种 MAP 激酶等癌基因,以及 FOXA1 和 SMAD4 等已知的肿瘤抑制因子。通路分析表明,一些在乳腺癌发生中很重要的生物学过程受到改变的 miRNA 表达的影响,包括通过 MAP 激酶和 TP53 通路的信号转导,以及细胞死亡和通讯、焦点黏附和 ERBB2-ERBB3 信号等生物学过程。我们的数据确定了几个 miRNA 的改变表达,其异常表达可能对与癌症相关的细胞途径有重要影响,并且其在乳腺癌中的作用以前没有被描述过。