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Single-cell analyses reveal key immune cell subsets associated with response to PD-L1 blockade in triple-negative breast cancer

  • Yuanyuan Zhang
  • , Hongyan Chen
  • , Hongnan Mo
  • , Xueda Hu
  • , Ranran Gao
  • , Yahui Zhao
  • , Baolin Liu
  • , Lijuan Niu
  • , Xiaoying Sun
  • , Xiao Yu
  • , Yong Wang
  • , Qing Chang
  • , Tongyang Gong
  • , Xiuwen Guan
  • , Ting Hu
  • , Tianyi Qian
  • , Binghe Xu
  • , Fei Ma
  • , Zemin Zhang
  • , Zhihua Liu
  • Peking University
  • Chinese Academy of Medical Sciences
  • Cancer Hospital of HuanXing ChaoYang District
  • Shenzhen Bay Laboratory

Research output: Contribution to journal › Article › peer-review

659 Scopus citations

Abstract

In triple-negative breast cancer (TNBC), the benefit of combining chemotherapy with checkpoint inhibitors is still not very clear. We utilize single-cell RNA- and ATAC-sequencing to examine the immune cell dynamics in 22 patients with advanced TNBC treated with paclitaxel or its combination with the anti-PD-L1 atezolizumab. We demonstrate that high levels of baseline CXCL13+ T cells are linked to the proinflammatory features of macrophages and can predict effective responses to the combination therapy. In responsive patients, lymphoid tissue inducer (LTi) cells, follicular B (Bfoc) cells, CXCL13+ T cells, and conventional type 1 dendritic cells (cDC1) concertedly increase following the combination therapy, but instead decrease after paclitaxel monotherapy. Our data highlight the importance of CXCL13+ T cells in effective responses to anti-PD-L1 therapies and suggest that their reduction by paclitaxel regimen may compromise the clinical outcomes of accompanying atezolizumab for TNBC treatment.

Original languageEnglish
Pages (from-to)1578-1593.e8
JournalCancer Cell
Volume39
Issue number12
DOIs
StatePublished - 13 Dec 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • anti-PD-L1 blockade
  • atezolizumab in combination with paclitaxel
  • immune cells
  • single-cell RNA-seq and ATACseq
  • temporal dynamics
  • triple-negative breast cancer

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