The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.
Single-cell sequencing links multiregional immune landscapes and tissue-resident T cells in ccRCC to tumor topology and therapy efficacy
Open accessAbstract
SUMMARY Clear cell renal cell carcinomas (ccRCCs) are highly immune infiltrated, but the effect of immune heterogeneity on clinical outcome in ccRCC has not been fully characterized. Here we perform paired single-cell RNA (scRNA) and T cell receptor (TCR) sequencing of 167,283 cells from multiple tumor regions, lymph node, normal kidney, and peripheral blood of two immune checkpoint blockade (ICB)-naïve and four ICB-treated patients to map the ccRCC immune landscape. We detect extensive heterogeneity within and between patients, with enrichment of CD8A+ tissue-resident T cells in a patient responsive to ICB and tumor-associated macrophages (TAMs) in a resistant patient. A TCR trajectory framework suggests distinct T cell differentiation pathways between patients responding and resistant to ICB. Finally, scRNA-derived signatures of tissue-resident T cells and TAMs are associated with response to ICB and targeted therapies across multiple independent cohorts. Our study establishes a multimodal interrogation of the cellular programs underlying therapeutic efficacy in ccRCC.
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Metadata
- Authors
- Krishna, C., DiNatale, R. G., Kuo, F., Srivastava, R. M., Vuong, L., Chowell, D., Gupta, S., Vanderbilt, C., Purohit, T. A., Liu, M., Kansler, E., Nixon, B. G., Chen, Y.-B., Makarov, V., Blum, K. A., Attalla, K., Weng, S., Salmans, M. L., Golkaram, M., Liu, L., Zhang, S., Vijayaraghavan, R., Pawlowski, T., Reuter, V., Carlo, M. I., Voss, M. H., Coleman, J., Russo, P., Motzer, R. J., Li, M. O., Leslie, C. S., Chan, T. A., & Hakimi, A. A.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 39
- Issue
- 5
- Pages
- 662-677.e6
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W3155717007
- Cited by
- 432
- References
- 103
- FWCI
- 23.32
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Single-cell sequencing links multiregional immune landscapes and tissue-resident T cells in ccRCC to tumor topology and therapy efficacy. https://app.cochat.ai/papers/10.1016/j.ccell.2021.03.007
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- Krishna, C., DiNatale, R. G., Kuo, F., Srivastava, R. M., Vuong, L., Chowell, D., Gupta, S., Vanderbilt, C., Purohit, T. A., Liu, M., Kansler, E., Nixon, B. G., Chen, Y.-B., Makarov, V., Blum, K. A., Attalla, K., Weng, S., Salmans, M. L., Golkaram, M., . . . Hakimi, A. A. (2021). Single-cell sequencing links multiregional immune landscapes and tissue-resident T cells in ccRCC to tumor topology and therapy efficacy. Cancer Cell. https://doi.org/10.1016/j.ccell.2021.03.007
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
