MidSouth Bioinformatics Center and Joint Bioinformatics Graduate Program, University of Arkansas for Medical Sciences, Little Rock, AR 72204, USA.
Biology Department, University of Arkansas at Little Rock, Little Rock, AR 72204, USA.
Cells. 2024 Sep 10;13(18):1518. doi: 10.3390/cells13181518.
The tumor microenvironment (TME) is crucial in cancer development and therapeutic response. Immunotherapy is increasingly recognized as a critical component of cancer treatment. While immunotherapies have shown efficacy in various cancers, including breast cancer, patient responses vary widely. Some patients receive significant benefits, while others experience minimal or no improvement. This disparity underscores the complexity and diversity of the immune system. In this study, we investigated the immune landscape and cell-cell communication within the TME of breast cancer through integrated analysis of bulk and single-cell RNA sequencing data. We established profiles of tumor immune infiltration that span across a broad spectrum of adaptive and innate immune cells. Our clustering analysis of immune infiltration identified three distinct patient groups: high T cell abundance, moderate infiltration, and low infiltration. Patients with low immune infiltration exhibited the poorest survival rates, while those in the moderate infiltration group showed better outcomes than those with high T cell abundance. Moreover, the high cell abundance group was associated with a greater tumor burden and higher rates of TP53 mutations, whereas the moderate infiltration group was characterized by a lower tumor burden and elevated PIK3CA mutations. Analysis of an independent single-cell RNA-seq breast cancer dataset confirmed the presence of similar infiltration patterns. Further investigation into ligand-receptor interactions within the TME unveiled significant variations in cell-cell communication patterns among these groups. Notably, we found that the signaling pathways SPP1 and EGF were exclusively active in the low immune infiltration group, suggesting their involvement in immune suppression. This work comprehensively characterizes the composition and dynamic interplay in the breast cancer TME. Our findings reveal associations between the extent of immune infiltration and clinical outcomes, providing valuable prognostic information for patient stratification. The unique mutations and signaling pathways associated with different patient groups offer insights into the mechanisms underlying diverse tumor immune infiltration and the formation of an immunosuppressive tumor microenvironment.
肿瘤微环境(TME)在癌症发展和治疗反应中起着至关重要的作用。免疫疗法越来越被认为是癌症治疗的重要组成部分。虽然免疫疗法在包括乳腺癌在内的各种癌症中显示出了疗效,但患者的反应差异很大。一些患者受益显著,而另一些患者则受益甚微或没有改善。这种差异突显了免疫系统的复杂性和多样性。在这项研究中,我们通过对批量和单细胞 RNA 测序数据的综合分析,研究了乳腺癌 TME 中的免疫景观和细胞间通讯。我们建立了跨越广泛的适应性和先天免疫细胞的肿瘤免疫浸润特征。我们对免疫浸润的聚类分析确定了三个不同的患者群体:高 T 细胞丰度、中度浸润和低浸润。低免疫浸润患者的生存率最差,而中度浸润组的患者比高 T 细胞丰度组的患者有更好的结局。此外,高细胞丰度组与更大的肿瘤负担和更高的 TP53 突变率相关,而中度浸润组的特点是肿瘤负担较低和 PIK3CA 突变率升高。对独立的单细胞 RNA-seq 乳腺癌数据集的分析证实了类似的浸润模式的存在。对 TME 内配体-受体相互作用的进一步研究揭示了这些群体之间细胞间通讯模式的显著差异。值得注意的是,我们发现 SPP1 和 EGF 信号通路仅在低免疫浸润组中活跃,表明它们参与了免疫抑制。这项工作全面描述了乳腺癌 TME 的组成和动态相互作用。我们的发现表明,免疫浸润的程度与临床结局之间存在关联,为患者分层提供了有价值的预后信息。与不同患者群体相关的独特突变和信号通路为不同肿瘤免疫浸润的机制和免疫抑制性肿瘤微环境的形成提供了见解。