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肿瘤驯化巨噬细胞的 miRNA 和 mRNA 综合分析确定雌激素受体阳性乳腺癌的预后亚组。

Integrated miRNA and mRNA profiling of tumor-educated macrophages identifies prognostic subgroups in estrogen receptor-positive breast cancer.

作者信息

Bleckmann Annalen, Leha Andreas, Artmann Stephan, Menck Kerstin, Salinas-Riester Gabriela, Binder Claudia, Pukrop Tobias, Beissbarth Tim, Klemm Florian

机构信息

Dept. of Hematology/Oncology, University Medical Center Göttingen, 37099 Göttingen, Germany; Dept. of Medical Statistics, University Medical Center Göttingen, 37099 Göttingen, Germany.

Dept. of Medical Statistics, University Medical Center Göttingen, 37099 Göttingen, Germany.

出版信息

Mol Oncol. 2015 Jan;9(1):155-66. doi: 10.1016/j.molonc.2014.07.023. Epub 2014 Aug 16.

Abstract

INTRODUCTION

Various studies have identified aberrantly expressed miRNAs in breast cancer and demonstrated an association between distinct miRNAs and malignant progression as well as metastasis. Even though tumor-associated macrophages (TAM) are known mediators of these processes, little is known regarding their miRNA expression upon education by malignant cells in vivo.

METHODS

We profiled miRNA and mRNA expression of in vitro tumor-educated macrophages (TEM) by indirectly co-culturing with estrogen-receptor-positive (ER+) MCF-7 breast cancer cells. The prognostic power of the resulting miRNA list was investigated in primary breast cancer datasets and compared to other signatures. Furthermore, miRNA expression levels were correlated to mRNA expression of macrophage markers and the impact on prognosis was assessed.

RESULTS

Through the evaluation of the group effects between differentially-expressed miRNAs and their target mRNAs in TEM, the power of detecting regulated miRNAs was greatly increased. The resulting list of 96 miRNAs predicts disease-free survival (DFS) in external datasets of ER+ breast cancer patients and performs well in comparison with other miRNA signatures. Clustering with the predefined miRNA list revealed a significant difference in survival between the two resulting patient groups. Furthermore, an optimized miRNA list, based on correlations with macrophages markers, proved even more capable at identifying patient clusters significantly differing in DFS.

CONCLUSIONS

In vitro profiling of TEM and subsequent bioinformatic verification identified miRNAs with a high prognostic power for DFS when transferred into the clinical setting of primary breast cancer. The resulting miRNAs not only verify previously established findings but also lead to new prognostic markers. Furthermore, our data suggest that TAM contribute to the total miRNA expression profile of ER + breast cancers.

摘要

引言

多项研究已在乳腺癌中鉴定出异常表达的微小RNA(miRNA),并证明不同的miRNA与恶性进展及转移之间存在关联。尽管肿瘤相关巨噬细胞(TAM)是这些过程的已知介质,但对于它们在体内受恶性细胞诱导后的miRNA表达情况知之甚少。

方法

我们通过与雌激素受体阳性(ER+)的MCF-7乳腺癌细胞间接共培养,对体外肿瘤诱导巨噬细胞(TEM)的miRNA和mRNA表达进行了分析。在原发性乳腺癌数据集中研究了所得miRNA列表的预后能力,并与其他特征进行了比较。此外,将miRNA表达水平与巨噬细胞标志物的mRNA表达相关联,并评估其对预后的影响。

结果

通过评估TEM中差异表达的miRNA与其靶mRNA之间的组效应,检测调控miRNA的能力大大提高。所得的96个miRNA列表可预测ER+乳腺癌患者外部数据集中的无病生存期(DFS),与其他miRNA特征相比表现良好。与预定义的miRNA列表进行聚类分析显示,两个所得患者组之间的生存期存在显著差异。此外,基于与巨噬细胞标志物的相关性优化后的miRNA列表,在识别DFS有显著差异的患者聚类方面表现更优。

结论

TEM的体外分析及随后的生物信息学验证确定了在原发性乳腺癌临床环境中对DFS具有高预后能力的miRNA。所得的miRNA不仅验证了先前已确立的发现,还产生了新的预后标志物。此外,我们的数据表明TAM对ER+乳腺癌的总miRNA表达谱有贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a930/5528681/9fe25e951074/MOL2-9-155-g001.jpg

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