Single-cell transcriptional atlas of tumor-associated macrophages in breast cancer

被引:1
|
作者
Zhang, Yupeng [1 ]
Zhong, Fan [2 ]
Liu, Lei [1 ,2 ]
机构
[1] Fudan Univ, Inst Biomed Sci, Shanghai 200032, Peoples R China
[2] Fudan Univ, Intelligent Med Inst, Shanghai Med Coll, Shanghai 200032, Peoples R China
关键词
TAMs; Tumor immunity; Single-cell transcriptome; Cellular atlas; Cell-cell communication; IMMUNE CHECKPOINT; T-CELLS; MICROENVIRONMENT; METASTASIS; EXPRESSION; CHEMOKINES; HETEROGENEITY; LANDSCAPE; DYNAMICS; TARGET;
D O I
10.1186/s13058-024-01887-6
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundThe internal heterogeneity of breast cancer, notably the tumor microenvironment (TME) consisting of malignant and non-malignant cells, has been extensively explored in recent years. The cells in this complex cellular ecosystem activate or suppress tumor immunity through phenotypic changes, secretion of metabolites and cell-cell communication networks. Macrophages, as the most abundant immune cells within the TME, are recruited by malignant cells and undergo phenotypic remodeling. Tumor-associated macrophages (TAMs) exhibit a variety of subtypes and functions, playing significant roles in impacting tumor immunity. However, their precise subtype delineation and specific function remain inadequately defined.MethodsThe publicly available single-cell transcriptomes of 49,141 cells from eight breast cancer patients with different molecular subtypes and stages were incorporated into our study. Unsupervised clustering and manual cell annotation were employed to accurately classify TAM subtypes. We then conducted functional analysis and constructed a developmental trajectory for TAM subtypes. Subsequently, the roles of TAM subtypes in cell-cell communication networks within the TME were explored using endothelial cells (ECs) and T cells as key nodes. Finally, analyses were repeated in another independent publish scRNA datasets to validate our findings for TAM characterization.ResultsTAMs are accurately classified into 7 subtypes, displaying anti-tumor or pro-tumor roles. For the first time, we identified a new TAM subtype capable of proliferation and expansion in breast cancer-TUBA1B+ TAMs playing a crucial role in TAMs diversity and tumor progression. The developmental trajectory illustrates how TAMs are remodeled within the TME and undergo phenotypic and functional changes, with TUBA1B+ TAMs at the initial point. Notably, the predominant TAM subtypes varied across different molecular subtypes and stages of breast cancer. Additionally, our research on cell-cell communication networks shows that TAMs exert effects by directly modulating intrinsic immunity, indirectly regulating adaptive immunity through T cells, as well as influencing tumor angiogenesis and lymphangiogenesis through ECs.ConclusionsOur study establishes a precise single-cell atlas of breast cancer TAMs, shedding light on their multifaceted roles in tumor biology and providing resources for targeting TAMs in breast cancer immunotherapy.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Single-cell sequencing of tumor-associated macrophages in a Drosophila model
    Khalili, Dilan
    Mohammed, Mubasher
    Kunc, Martin
    Sindlerova, Martina
    Ankarklev, Johan
    Theopold, Ulrich
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [2] Tumor-associated macrophages in breast cancer
    Leek, RD
    Harris, AL
    JOURNAL OF MAMMARY GLAND BIOLOGY AND NEOPLASIA, 2002, 7 (02) : 177 - 189
  • [3] Tumor-Associated Macrophages in Breast Cancer
    Russell D. Leek
    Adrian L. Harris
    Journal of Mammary Gland Biology and Neoplasia, 2002, 7 : 177 - 189
  • [4] SINGLE-CELL ANALYSIS OF TUMOR-ASSOCIATED MICROGLIA AND MACROPHAGES FROM HUMAN GLIOBLASTOMA
    Anand, Atul
    Andersen, Rikke Sick
    Burton, Mark
    Harwood, Dylan Scott Lykke
    Poulsen, Frantz Rom
    Halle, Bo
    Pedersen, Christian Bonde
    Kruse, Torben
    Thomassen, Mads
    Kristensen, Bjarne
    NEURO-ONCOLOGY, 2021, 23 : 104 - 104
  • [5] SINGLE-CELL ANALYSIS OF TUMOR-ASSOCIATED MICROGLIA AND MACROPHAGES FROM HUMAN GLIOBLASTOMA
    Anand, Atul
    Olsen, Rikke Frydendahl Sick
    Burton, Mark
    Harwood, Dylan Scott Lykke
    Poulsen, Frantz Rom
    Halle, Bo
    Pedersen, Christian Bonde
    Kruse, Torben
    Thomassen, Mads
    Kristensen, Bjarne Winther
    NEURO-ONCOLOGY, 2022, 24 : 276 - 276
  • [6] In situ single-cell spontaneous Raman spectroscopy differentiates tumor-associated macrophages
    Xie, Jinmei
    Wei, Yanfei
    Liang, Xiaohong
    Ma, Chunhong
    Su, Xuantao
    SENSORS AND ACTUATORS B-CHEMICAL, 2024, 417
  • [7] A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer
    Wagner, Johanna
    Rapsomaniki, Maria Anna
    Chevrier, Stephane
    Anzeneder, Tobias
    Langwieder, Claus
    Dykgers, August
    Rees, Martin
    Ramaswamy, Annette
    Muenst, Simone
    Soysa, Savas Deniz
    Jacobs, Andrea
    Windhager, Jonas
    Silina, Karina
    van den Broek, Manes
    Dedes, Konstantin Johannes
    Martinez, Maria Rodriguez
    Weber, Walter Paul
    Bodenmiller, Bernd
    CELL, 2019, 177 (05) : 1330 - +
  • [8] The role of tumor-associated macrophages in breast cancer progression
    Obeid, Elias
    Nanda, Rita
    Fu, Yang-Xin
    Olopade, Olufunmilayo I.
    INTERNATIONAL JOURNAL OF ONCOLOGY, 2013, 43 (01) : 5 - 12
  • [9] A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells
    Cheng, Sijin
    Li, Ziyi
    Gao, Ranran
    Xing, Baocai
    Gao, Yunong
    Yang, Yu
    Qin, Shishang
    Zhang, Lei
    Ouyang, Hanqiang
    Du, Peng
    Jiang, Liang
    Zhang, Bin
    Yang, Yue
    Wang, Xiliang
    Ren, Xianwen
    Bei, Jin-Xin
    Hu, Xueda
    Bu, Zhaode
    Ji, Jiafu
    Zhang, Zemin
    CELL, 2021, 184 (03) : 792 - +
  • [10] Single-Cell RNA Sequencing Identifies Crucial Genes Influencing the Polarization of Tumor-Associated Macrophages in Liver Cancer
    Xu, Kedong
    Dong, Mingyi
    Wu, Zhengqiang
    Luo, Linfei
    Xie, Fei
    Li, Fan
    Huang, Hongyan
    Wang, Fenfen
    Xiong, Xiaofeng
    Wen, Zhili
    INTERNATIONAL JOURNAL OF GENOMICS, 2024, 2024