The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
The PD-1 expression balance between effector and regulatory T cells predicts the clinical efficacy of PD-1 blockade therapies
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Citations
Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
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Safety, activity, and immune correlates of anti–PD-1 antibody in cancer
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A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R., Garimella, K. V., Maguire, J. R., Hartl, C., Philippakis, A. A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,456
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
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Self-citationPD-1 blockade induces responses by inhibiting adaptive immune resistance
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Cancer Immunoediting: Integrating Immunity’s Roles in Cancer Suppression and Promotion
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Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion
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Molecular and cellular insights into T cell exhaustion
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Molecular and genetic properties of tumors associated with local immune cytolytic activity
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Research works printed but not linked: 1
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Cited by
The Challenges of Tumor Mutational Burden as an Immunotherapy Biomarker
Jardim, D. L., Goodman, A., de Melo Gagliato, D., & Kurzrock, R. (2021) · Cancer Cell · doi:10.1016/j.ccell.2020.10.001 · Cited by 1,192
Clinical implications of T cell exhaustion for cancer immunotherapy
Chow, A., Perica, K., Klebanoff, C. A., & Wolchok, J. D. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00689-z · Cited by 1,044
Kumagai, S., Koyama, S., Itahashi, K., Tanegashima, T., Lin, Y.-T., Togashi, Y., Kamada, T., Irie, T., Okumura, G., Kono, H., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.01.001 · Cited by 892
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Microglia-mediated T cell infiltration drives neurodegeneration in tauopathy
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Metadata
- Authors
- Kumagai, S., Togashi, Y., Kamada, T., Sugiyama, E., Nishinakamura, H., Takeuchi, Y., Vitaly, K., Itahashi, K., Maeda, Y., Matsui, S., Shibahara, T., Yamashita, Y., Irie, T., Tsuge, A., Fukuoka, S., Kawazoe, A., Udagawa, H., Kirita, K., Aokage, K., Ishii, G., Kuwata, T., Nakama, K., Kawazu, M., Ueno, T., Yamazaki, N., Goto, K., Tsuboi, M., Mano, H., Doi, T., Shitara, K., & Nishikawa, H.
- Venue
- Nature Immunology
- Published
- 2020-08-31
- Volume
- 21
- Issue
- 11
- Pages
- 1346-1358
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- OpenAlex
- W3082731516
- Cited by
- 783
- References
- 67
- FWCI
- 33.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
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- CoChat. (2026). Citation check: The PD-1 expression balance between effector and regulatory T cells predicts the clinical efficacy of PD-1 blockade therapies. https://app.cochat.ai/papers/10.1038/s41590-020-0769-3
- The paper
- Kumagai, S., Togashi, Y., Kamada, T., Sugiyama, E., Nishinakamura, H., Takeuchi, Y., Vitaly, K., Itahashi, K., Maeda, Y., Matsui, S., Shibahara, T., Yamashita, Y., Irie, T., Tsuge, A., Fukuoka, S., Kawazoe, A., Udagawa, H., Kirita, K., Aokage, K., . . . Nishikawa, H. (2020). The PD-1 expression balance between effector and regulatory T cells predicts the clinical efficacy of PD-1 blockade therapies. Nature Immunology. https://doi.org/10.1038/s41590-020-0769-3
Data sources
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.
