The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.
NK Cell Exhaustion
Open accessAbstract
Natural killer cells are important effector lymphocytes of the innate immune system, playing critical roles in antitumor and anti-infection host defense. Tumor progression or chronic infections, however, usually leads to exhaustion of NK cells, thus limiting the antitumor/infection potential of NK cells. In many tumors or chronic infections, multiple mechanisms might contribute to the exhaustion of NK cells, such as dysregulated NK cell receptors signaling, as well as suppressive effects by regulatory cells or soluble factors within the microenvironment. Better understanding of the characteristics, as well as the underlying mechanisms of NK cell exhaustion, not only should increase our understanding of the basic biology of NK cells but also could reveal novel NK cell-based antitumor/infection targets. Here, we provide an overview of our current knowledge on NK cell exhaustion in tumors, and in chronic infections.
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Cites
Control of Regulatory T Cell Development by the Transcription Factor Foxp3
Hori, S., Nomura, T., & Sakaguchi, S. (2003) · Science · doi:10.1126/science.1079490 · Cited by 8,187
The future of immune checkpoint therapy
Sharma, P., & Allison, J. P. (2015) · Science · doi:10.1126/science.aaa8172 · Cited by 4,878
Molecular and cellular insights into T cell exhaustion
Wherry, E. J., & Kurachi, M. (2015) · Nature Reviews Immunology · doi:10.1038/nri3862 · Cited by 4,652
The Role of Tumoral FOXP3 on Cell Proliferation, Migration, and Invasion in Gastric Cancer
Zhang, L., Xu, J., Zhang, X., Zhang, Y., Wang, L., Huang, X., & Xu, Z. (2017) · Cellular Physiology and Biochemistry · doi:10.1159/000479442 · Cited by 4,088
Wherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062 · cited 5×
“, immunoregulatory cytokines and PD-1) have been shown to be involved in the exhaustion of T cells (1).”
BackgroundInfluentialFunctions of natural killer cells
Vivier, E., Tomasello, E., Baratin, M., Walzer, T., & Ugolini, S. (2008) · Nature Immunology · doi:10.1038/ni1582 · Cited by 3,943
The interaction of TIGIT with PVR and PVRL2 inhibits human NK cell cytotoxicity
Stanietsky, N., Simic, H., Arapovic, J., Toporik, A., Levy, O., Novik, A., Levine, Z., Beiman, M., Dassa, L., Achdout, H., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903474106 · Cited by 3,524
Lanier, L. L. (2005) · Annual Review of Immunology · doi:10.1146/annurev.immunol.23.021704.115526 · Cited by 2,769
Adoptive cell transfer as personalized immunotherapy for human cancer
Rosenberg, S. A., & Restifo, N. P. (2015) · Science · doi:10.1126/science.aaa4967 · Cited by 2,506
T cell exclusion, immune privilege, and the tumor microenvironment
Joyce, J. A., & Fearon, D. T. (2015) · Science · doi:10.1126/science.aaa6204 · Cited by 2,473
Cited by
Cancer Immune Evasion Through Loss of MHC Class I Antigen Presentation
Dhatchinamoorthy, K., Colbert, J. D., & Rock, K. L. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.636568 · Cited by 1,077
Impaired immune cell cytotoxicity in severe COVID-19 is IL-6 dependent
Mazzoni, A., Salvati, L., Maggi, L., Capone, M., Vanni, A., Spinicci, M., Mencarini, J., Caporale, R., Peruzzi, B., Antonelli, A., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci138554 · Cited by 502
Evaluating natural killer cell cytotoxicity against solid tumors using a microfluidic model
Ayuso, J. M., Truttschel, R., Gong, M. M., Humayun, M., Virumbrales-Munoz, M., Vitek, R., Felder, M., Gillies, S. D., Sondel, P., Wisinski, K. B., et al. (2019) · OncoImmunology · doi:10.1080/2162402x.2018.1553477 · Cited by 142
Li, Y., Zhang, Y., Cao, G., Zheng, X., Sun, C., Wei, H., Tian, Z., Xiao, W., Sun, R., & Sun, H. (2021) · Journal of Hematology & Oncology · doi:10.1186/s13045-021-01112-3 · Cited by 51
Self-citationSantiago, V., Rezvani, K., Sekine, T., Stebbing, J., Kelleher, P., & Armstrong-James, D. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02344 · Cited by 15
Metadata
- Authors
- Bi, J., & Tian, Z.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2017-06-28
- Volume
- 8
- Pages
- 760-760
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W2725187299
- Cited by
- 325
- References
- 122
- FWCI
- 10.05
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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