The DOI matches its Crossref record; 235 of the 235 references it cites were found in a registry or an index.
Natural killer cells in antitumour adoptive cell immunotherapy
Open accessAbstract
Natural killer (NK) cells comprise a unique population of innate lymphoid cells endowed with intrinsic abilities to identify and eliminate virally infected cells and tumour cells. Possessing multiple cytotoxicity mechanisms and the ability to modulate the immune response through cytokine production, NK cells play a pivotal role in anticancer immunity. This role was elucidated nearly two decades ago, when NK cells, used as immunotherapeutic agents, showed safety and efficacy in the treatment of patients with advanced-stage leukaemia. In recent years, following the paradigm-shifting successes of chimeric antigen receptor (CAR)-engineered adoptive T cell therapy and the advancement in technologies that can turn cells into powerful antitumour weapons, the interest in NK cells as a candidate for immunotherapy has grown exponentially. Strategies for the development of NK cell-based therapies focus on enhancing NK cell potency and persistence through co-stimulatory signalling, checkpoint inhibition and cytokine armouring, and aim to redirect NK cell specificity to the tumour through expression of CAR or the use of engager molecules. In the clinic, the first generation of NK cell therapies have delivered promising results, showing encouraging efficacy and remarkable safety, thus driving great enthusiasm for continued innovation. In this Review, we describe the various approaches to augment NK cell cytotoxicity and longevity, evaluate challenges and opportunities, and reflect on how lessons learned from the clinic will guide the design of next-generation NK cell products that will address the unique complexities of each cancer. This review gives an overview of natural killer (NK) cell-based immunotherapies. The authors describe the various engineering strategies used to increase NK cell cytotoxicity and persistence, as well as the current challenges and opportunities for the future design of next-generation NK cell therapies.
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Axicabtagene Ciloleucel CAR T-Cell Therapy in Refractory Large B-Cell Lymphoma
Neelapu, S. S., Locke, F. L., Bartlett, N. L., Lekakis, L. J., Miklos, D. B., Jacobson, C. A., Braunschweig, I., Oluwole, O. O., Siddiqi, T., Lin, Y., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1707447 · Cited by 6,030
Tisagenlecleucel in children and young adults with B-cell lymphoblastic leukemia
Maude, S. L., Laetsch, T. W., Buechner, J., Rives, S., Boyer, M., Bittencourt, H., Bader, P., Verneris, M. R., Stefanski, H. E., Myers, G. D., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1709866 · Cited by 5,735
Genome-scale CRISPR-Cas9 knockout screening in human cells
Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., Heckl, D., Ebert, B. L., Root, D. E., Doench, J. G., et al. (2014) · Science · doi:10.1126/science.1247005 · Cited by 5,234
Tisagenlecleucel in Adult Relapsed or Refractory Diffuse Large B-Cell Lymphoma
Schuster, S. J., Bishop, M. R., Tam, C. S., Waller, E. K., Borchmann, P., McGuirk, J. P., Jäger, U., Jaglowski, S., Andreadis, C., Westin, J. R., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1804980 · Cited by 4,112
Effectiveness of donor natural killer cell alloreactivity in mismatched hematopoietic transplants
Ruggeri, L., Capanni, M., Urbani, E., Perruccio, K., Shlomchik, W. D., Tosti, A., Posati, S., Rogaia, D., Frassoni, F., Aversa, F., et al. (2002) · Science · doi:10.1126/science.1068440 · Cited by 3,380
Car t cell immunotherapy for human cancer
June, C. H., O’Connor, R. S., Kawalekar, O. U., Ghassemi, S., & Milone, M. C. (2018) · Science · doi:10.1126/science.aar6711 · Cited by 3,207
CAR-T cell therapy: current limitations and potential strategies
Sterner, R. C., & Sterner, R. M. (2021) · Blood Cancer Journal · doi:10.1038/s41408-021-00459-7 · Cited by 2,926
Genetic screens in human cells using the CRISPR-Cas9 system
Wang, T., Wei, J. J., Sabatini, D. M., & Lander, E. S. (2014) · Science · doi:10.1126/science.1246981 · Cited by 2,856
Long-Term Follow-up of CD19 CAR Therapy in Acute Lymphoblastic Leukemia
Park, J. H., Rivière, I., Gonen, M., Wang, X., Sénéchal, B., Curran, K. J., Sauter, C., Wang, Y., Santomasso, B., Mead, E., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1709919 · Cited by 2,688
Idecabtagene Vicleucel in Relapsed and Refractory Multiple Myeloma.
Munshi, N. C., Anderson, L. D., Shah, N., Madduri, D., Berdeja, J., Lonial, S., Raje, N., Lin, Y., Siegel, D., Oriol, A., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2024850 · Cited by 2,560
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Yang, S., Sheffer, M., Kaplan, I. E., Wang, Z., Tarannum, M., Dinh, K., Abdulhamid, Y., Bobilev, E., Shapiro, R., Porter, R., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02418-6 · Cited by 66
Metadata
- Authors
- Laskowski, T. J., Biederstädt, A., & Rezvani, K.
- Venue
- Nature Reviews Cancer
- Published
- 2022-07-25
- Volume
- 22
- Issue
- 10
- Pages
- 557-575
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- OpenAlex
- W4287307650
- Cited by
- 773
- References
- 235
- FWCI
- 15.19
- Type
- journal article
- Language
- en
- Open access
- bronze
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