基于 DNA 甲基化数据解析的炎性乳腺癌微环境特征谱揭示了增强治疗效果的可行靶点。

Inflammatory breast cancer microenvironment repertoire based on DNA methylation data deconvolution reveals actionable targets to enhance the treatment efficacy.

机构信息

Department of Clinical Genetics, University Hospital of Southern Denmark, Beriderbakken 4, Vejle, DK, 7100, Denmark.

Department of Chemical and Biological Sciences, Institute of Biosciences, São Paulo State University (UNESP), Botucatu, SP, 18618-689, Brazil.

出版信息

J Transl Med. 2024 Aug 5;22(1):735. doi: 10.1186/s12967-024-05553-5.

Abstract

BACKGROUND

Although the clinical signs of inflammatory breast cancer (IBC) resemble acute inflammation, the role played by infiltrating immune and stromal cells in this aggressive disease is uncharted. The tumor microenvironment (TME) presents molecular alterations, such as epimutations, prior to morphological abnormalities. These changes affect the distribution and the intricate communication between the TME components related to cancer prognosis and therapy response. Herein, we explored the global DNA methylation profile of IBC and surrounding tissues to estimate the microenvironment cellular composition and identify epigenetically dysregulated markers.

METHODS

We used the HiTIMED algorithm to deconvolve the bulk DNA methylation data of 24 IBC and six surrounding non-tumoral tissues (SNT) (GSE238092) and determine their cellular composition. The prognostic relevance of cell types infiltrating IBC and their relationship with clinicopathological variables were investigated. CD34 (endothelial cell marker) and CD68 (macrophage marker) immunofluorescence staining was evaluated in an independent set of 17 IBC and 16 non-IBC samples.

RESULTS

We found lower infiltration of endothelial, stromal, memory B, dendritic, and natural killer cells in IBC than in SNT samples. Higher endothelial cell (EC) and stromal cell content were related to better overall survival. EC proportions positively correlated with memory B and memory CD8 T infiltration in IBC. Immune and EC markers exhibited distinct DNA methylation profiles between IBC and SNT samples, revealing hypermethylated regions mapped to six genes (CD40, CD34, EMCN, HLA-G, PDPN, and TEK). We identified significantly higher CD34 and CD68 protein expression in IBC compared to non-IBC.

CONCLUSIONS

Our findings underscored cell subsets that distinguished patients with better survival and dysregulated markers potentially actionable through combinations of immunotherapy and epigenetic drugs.

摘要

背景

尽管炎性乳腺癌(IBC)的临床体征类似于急性炎症,但浸润性免疫和基质细胞在这种侵袭性疾病中的作用尚未被探索。肿瘤微环境(TME)在形态学异常之前就出现了分子改变,如表观遗传改变。这些变化影响与癌症预后和治疗反应相关的 TME 成分的分布和复杂通讯。在此,我们探索了 IBC 和周围组织的全基因组 DNA 甲基化谱,以估计微环境细胞组成并识别表观遗传失调的标志物。

方法

我们使用 HiTIMED 算法对 24 个 IBC 和 6 个周围非肿瘤组织(SNT)(GSE238092)的批量 DNA 甲基化数据进行去卷积,并确定它们的细胞组成。研究了浸润性 IBC 的细胞类型的预后相关性及其与临床病理变量的关系。在一组 17 个 IBC 和 16 个非 IBC 样本中评估了 CD34(内皮细胞标志物)和 CD68(巨噬细胞标志物)免疫荧光染色。

结果

我们发现 IBC 中的内皮细胞、基质细胞、记忆 B 细胞、树突状细胞和自然杀伤细胞浸润低于 SNT 样本。较高的内皮细胞(EC)和基质细胞含量与更好的总生存率相关。EC 比例与 IBC 中的记忆 B 细胞和记忆 CD8 T 细胞浸润呈正相关。免疫和 EC 标志物在 IBC 和 SNT 样本之间表现出不同的 DNA 甲基化谱,揭示了六个基因(CD40、CD34、EMCN、HLA-G、PDPN 和 TEK)的高甲基化区域。我们发现 IBC 中的 CD34 和 CD68 蛋白表达明显高于非 IBC。

结论

我们的研究结果强调了能够区分生存较好患者的细胞亚群和失调标志物,这些标志物可能通过免疫疗法和表观遗传药物联合治疗发挥作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa3d/11301973/8084c9d37e08/12967_2024_5553_Fig1_HTML.jpg

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