Integrating bulk and single-cell RNA sequencing data reveals the relationship between intratumor microbiome signature and host metabolic heterogeneity in breast cancer

被引:13
|
作者
Chen, Fangyue [1 ]
Yang, Jun [2 ]
Guo, Youxiang [2 ]
Su, Dongwei [1 ]
Sheng, Yuan [1 ]
Wu, Yanmei [1 ]
机构
[1] Navy Mil Med Univ, Changhai Hosp, Dept Gen Surg, Shanghai, Peoples R China
[2] 63650 Mil Hosp, Dept Gen Surg, Urumqi, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2023年 / 14卷
关键词
intratumoral microbiome; breast cancer; metabolic heterogeneity; tumor microenvironment; immune cell; TUMOR MICROBIOME; ASSOCIATION; RESISTANCE; BACTERIA; TISSUE;
D O I
10.3389/fimmu.2023.1140995
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
IntroductionNowadays, it has been recognized that gut microbiome can indirectly modulate cancer susceptibility or progression. However, whether intratumor microbes are parasitic, symbiotic, or merely bystanders in breast cancer is not fully understood. Microbial metabolite plays a pivotal role in the interaction of host and microbe via regulating mitochondrial and other metabolic pathways. And the relationship between tumor-resident microbiota and cancer metabolism remains an open question. Methods1085 breast cancer patients with normalized intratumor microbial abundance data and 32 single-cell RNA sequencing samples were retrieved from public datasets. We used the gene set variation analysis to evaluate the various metabolic activities of breast cancer samples. Furthermore, we applied Scissor method to identify microbe-associated cell subpopulations from single-cell data. Then, we conducted comprehensive bioinformatic analyses to explore the association between host and microbe in breast cancer. ResultsHere, we found that the metabolic status of breast cancer cells was highly plastic, and some microbial genera were significantly correlated with cancer metabolic activity. We identified two distinct clusters based on microbial abundance and tumor metabolism data. And dysregulation of the metabolic pathway was observed among different cell types. Metabolism-related microbial scores were calculated to predict overall survival in patients with breast cancer. Furthermore, the microbial abundance of the specific genus was associated with gene mutation due to possible microbe-mediated mutagenesis. The infiltrating immune cell compositions, including regulatory T cells and activated NK cells, were significantly associated with the metabolism-related intratumor microbes, as indicated in the Mantel test analysis. Moreover, the mammary metabolism-related microbes were related to T cell exclusion and response to immunotherapy. ConclusionsOverall, the exploratory study shed light on the potential role of the metabolism-related microbiome in breast cancer patients. And the novel treatment will be realized by further investigating the metabolic disturbance in host and intratumor microbial cells.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Single-cell RNA-sequencing reveals SCC intratumoral heterogeneity
    Ji, A.
    Rubin, A.
    Hollmig, S.
    Aasi, S.
    Khavari, P.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2018, 138 (05) : S31 - S31
  • [32] Single-cell RNA sequencing reveals the heterogeneity of myofibroblasts in wound repair
    Liu, Miaonan
    Liu, Xiaoxuan
    Zhang, Jingchi
    Liang, Shaocong
    Gong, Yan
    Shi, Shengjun
    Yuan, Xiaopeng
    GENOMICS, 2025, 117 (01)
  • [33] Single-Cell RNA-Sequencing Reveals the Breadth of Osteoblast Heterogeneity
    Yoshioka, Hirotaka
    Okita, Saki
    Nakano, Masashi
    Minamizaki, Tomoko
    Nubukiyo, Asako
    Sotomaru, Yusuke
    Bonnelye, Edith
    Kozai, Katsuyuki
    Tanimoto, Kotaro
    Aubin, Jane E.
    Yoshiko, Yuji
    JBMR PLUS, 2021, 5 (06)
  • [34] Integrating single-cell and bulk RNA sequencing data unveils antigen presentation and process-related CAFS and establishes a predictive signature in prostate cancer
    Wenhao Wang
    Tiewen Li
    Zhiwen Xie
    Jing Zhao
    Yu Zhang
    Yuan Ruan
    Bangmin Han
    Journal of Translational Medicine, 22
  • [35] Integrating single-cell and bulk RNA sequencing data unveils antigen presentation and process-related CAFS and establishes a predictive signature in prostate cancer
    Wang, Wenhao
    Li, Tiewen
    Xie, Zhiwen
    Zhao, Jing
    Zhang, Yu
    Ruan, Yuan
    Han, Bangmin
    JOURNAL OF TRANSLATIONAL MEDICINE, 2024, 22 (01)
  • [36] INTEGRATED ANALYSIS OF SINGLE-CELL AND BULK RNA SEQUENCING DATA REVEALS CELLULAR HETEROGENEITY IN THE SKELETAL MUSCLE OF IDIOPATHIC INFLAMMATORY MYOPATHY
    Honglin, Z.
    Hui, L.
    Yizhi, X.
    Xie, S.
    Ding, T.
    Huang, T.
    Liu, S.
    Liu, D.
    Zhang, H.
    ANNALS OF THE RHEUMATIC DISEASES, 2023, 82 : 77 - 78
  • [37] Integrated analysis of single-cell and bulk RNA sequencing data reveals immune-related lncRNA-mRNA prognostic signature in triple-negative breast cancer
    Zhao, Hongying
    Yu, Lei
    Wang, Lixia
    Yin, Xiangzhe
    Liu, Kailai
    Liu, Wangyang
    Lin, Shihua
    Wang, Li
    GENES & DISEASES, 2024, 11 (02) : 571 - 574
  • [38] Investigating the role of senescence biomarkers in colorectal cancer heterogeneity by bulk and single-cell RNA sequencing
    Ding, Chengsheng
    Xu, Ximo
    Zhang, Xian
    Zhang, Enkui
    Li, Shuchun
    Fan, Xiaodong
    Ma, Junjun
    Yang, Xiao
    Zang, Lu
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [39] Integrating single-cell and bulk RNA sequencing to predict prognosis and immunotherapy response in prostate cancer
    Wen, Xiao Yan
    Wang, Ru Yi
    Yu, Bei
    Yang, Yue
    Yang, Jin
    Zhang, Han Chao
    SCIENTIFIC REPORTS, 2023, 13 (01):
  • [40] Integrating single-cell and bulk RNA sequencing to predict prognosis and immunotherapy response in prostate cancer
    Xiao Yan Wen
    Ru Yi Wang
    Bei Yu
    Yue Yang
    Jin Yang
    Han Chao Zhang
    Scientific Reports, 13 (1)