Jiang Ke, Dong Mengting, Li Chunyang, Sheng Jiayu
Department of Breast Diseases, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Front Oncol. 2021 Mar 29;11:557477. doi: 10.3389/fonc.2021.557477. eCollection 2021.
Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer, characterized by extensive intratumoral heterogeneity. We aimed to systematically characterize the tumor heterogeneity of TNBC. Single-cell RNA sequencing (scRNA-seq) of TNBC cells were obtained from the GSE118389 and GSE75688 datasets. After integration of the two datasets, cell clustering analysis was performed using the Seurat package. According to the marker genes of cell cycle, cell cycle of each cell cluster was determined. Then, function enrichment analysis of marker genes in each cell cluster was performed, followed by ligand-receptor signaling network analysis. CIBERSORT was used to estimate the proportion of 22 immune cells in each sample based on RNA-seq data of 58 normal adjacent tissues and 101 TNBC tissues. After that, prognostic value of immune cells was assessed. In the integrated datasets, five cells types including B cells, myeloid cells, stromal cells, T cells, and tumor cells were clustered. Functional enrichment analysis revealed the functional heterogeneity of genes in each cell. Intercellular communication networks were conducted based on ligand-receptor pairs. The heterogeneity in the fractions of 22 immune cells was found in TNBC tissues. Furthermore, there was a significant difference in the fractions of these immune cells between adjacent normal tissues and TNBC tissues. Among them, M2 macrophages and neutrophils were significantly associated with clinical outcomes of TNBC. Moreover, the fractions of T cells CD4 memory resting, monocytes, neutrophils, M1 macrophages, and T cells CD4 memory activated were significantly correlated with clinical characteristics of TNBC. As shown in PCA results, these immune cells could significantly distinguish TNBC tissues into adjacent normal tissues. Our findings characterized the tumor heterogeneity of TNBC, which deepened the understanding of the complex interactions between tumor cells and their microenvironment, especially immune cells.
三阴性乳腺癌(TNBC)是一种侵袭性乳腺癌亚型,其特征是肿瘤内广泛的异质性。我们旨在系统地表征TNBC的肿瘤异质性。从GSE118389和GSE75688数据集中获取TNBC细胞的单细胞RNA测序(scRNA-seq)数据。整合这两个数据集后,使用Seurat软件包进行细胞聚类分析。根据细胞周期的标记基因,确定每个细胞簇的细胞周期。然后,对每个细胞簇中的标记基因进行功能富集分析,随后进行配体-受体信号网络分析。基于58个正常相邻组织和101个TNBC组织的RNA-seq数据,使用CIBERSORT估计每个样本中22种免疫细胞的比例。之后,评估免疫细胞的预后价值。在整合数据集中,聚类出了包括B细胞、髓样细胞、基质细胞、T细胞和肿瘤细胞在内的五种细胞类型。功能富集分析揭示了每个细胞中基因的功能异质性。基于配体-受体对构建细胞间通讯网络。在TNBC组织中发现了22种免疫细胞比例的异质性。此外,相邻正常组织和TNBC组织中这些免疫细胞的比例存在显著差异。其中,M2巨噬细胞和中性粒细胞与TNBC的临床结局显著相关。此外,T细胞CD4记忆静止型、单核细胞、中性粒细胞、M1巨噬细胞和T细胞CD4记忆激活型的比例与TNBC的临床特征显著相关。如主成分分析结果所示,这些免疫细胞能够显著区分TNBC组织和相邻正常组织。我们的研究结果表征了TNBC的肿瘤异质性,加深了对肿瘤细胞与其微环境(尤其是免疫细胞)之间复杂相互作用的理解。