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Single-cell analyses reveal key immune cell subsets associated with response to PD-L1 blockade in triple-negative breast cancer
Open accessAbstract
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.
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“These cell subsets show different responses to anti-PD(L)-1 therapies,”
From Contrasting cytotoxic and regulatory T cell responses underlying distinct clinical outcomes to anti-PD-1 plus lenvatinib therapy in cancer (2025) · cites this paper as [19]
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“Applying ICB and combination therapies as neoadjuvant treatments provides an opportunity to observe immune cell dynamics in tumor microenvironment (TME) with temporal samples.”
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Self-citation
Metadata
- Authors
- Zhang, Y., Chen, H., Mo, H., Hu, X., Gao, R., Zhao, Y., Liu, B., Niu, L., Sun, X., Yu, X., Wang, Y., Chang, Q., Gong, T., Guan, X., Hu, T., Qian, T., Xu, B., Ma, F., Zhang, Z., & Liu, Z.
- Affiliations
- Peking University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Cancer Hospital of Huanxing Chaoyang District Beijing (CN)
- Corresponding author
- Xu, Binghe
- Ma, Fei
- Zhang, Zemin
- Liu, Zhihua
- ORCID
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 39
- Issue
- 12
- Pages
- 1578-1593.e8
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W3205385275
- Cited by
- 783
- References
- 77
- Citations by year
- 2026: 135 · 2025: 206 · 2024: 183 · 2023: 158 · 2022: 93 · 2021: 8
- FWCI
- 41.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cancer Cell (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (31991171, 81988101, 82030089, 91942307)
- Chinese Academy of Meteorological Sciences (2016-I2M-1-001, 2017-I2M-3-004, 2019-I2M-1-003)
- Peking University
- Beijing Municipal Science and Technology Commission (Z201100005320014)
- National Key Research and Development Program of China (2018YFC1312101, 2020YFA0803300)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Keywords
- triple-negative breast cancer, PD-L1 blockade, atezolizumab, paclitaxel, immune cell dynamics, lymphoid tissue inducer cells, follicular B cells, conventional type 1 dendritic cells, single-cell RNA sequencing, single-cell ATAC-seq
- MeSH terms
- Immune Checkpoint Inhibitors, Female, Humans, Single-Cell Analysis, Triple Negative Breast Neoplasms
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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