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IMMUNOTHERAPY

Using single-cell analysis to predict CAR T cell outcomes

Nature Medicine volume 26, pages 1813–1814 (2020)Cite this article

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Single-cell analysis provides novel insights into elements of CAR T cell toxicities and response.

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Fig. 1: Understanding the diversity of responses to CD19 CAR T cells.

References

  1. Locke, F. L. et al. Lancet Oncol. 20, 31–42 (2019).

    Article  CAS  Google Scholar 

  2. Schuster, S. J. et al. N. Engl. J. Med. 377, 2545–2554 (2017).

    Article  CAS  Google Scholar 

  3. Neelapu, S. S. et al. N. Engl. J. Med. 377, 2531–2544 (2017).

    Article  CAS  Google Scholar 

  4. Deng, Q. et al. Nat. Med. https://doi.org/10.1038/s41591-020-1061-7 (2020).

  5. Parker, K. R. et al. Cell 183, 126–142.e117 (2020).

    Article  CAS  Google Scholar 

  6. Eshhar, Z. in Therapeutic Antibodies. Handbook of Experimental Pharmacology Vol. 181 (eds. Chernajovsky, Y. & Nissim A.) 329–342 (Springer, Berlin, Heidelberg, 2008).

  7. Finney, O. C. et al. J. Clin. Invest. 129, 2123–2132 (2019).

    Article  Google Scholar 

  8. Fraietta, J. A. et al. Nat. Med. 24, 563–571 (2018).

    Article  CAS  Google Scholar 

  9. Das, R. K., Vernau, L., Grupp, S. A. & Barrett, D. M. Cancer Discov. 9, 492–499 (2019).

    Article  CAS  Google Scholar 

  10. Sommermeyer, D. et al. Leukemia 30, 492–500 (2016).

    Article  CAS  Google Scholar 

  11. Locke, F. L. et al. Blood Adv. 4, 4898–4911 (2020).

    Article  Google Scholar 

  12. Norelli, M. et al. Nat. Med. 24, 739–748 (2018).

    Article  CAS  Google Scholar 

  13. Gust, J. et al. Cancer Discov. 7, 1404–1419 (2017).

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Division of Pediatric Hematology/Oncology, Department of Pediatrics, Stanford University, Palo Alto, CA, USA

    Sneha Ramakrishna

  2. Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA

    Nirali N. Shah

Authors
  1. Sneha Ramakrishna
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  2. Nirali N. Shah
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Correspondence to Nirali N. Shah.

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The authors declare no competing interests.

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Ramakrishna, S., Shah, N.N. Using single-cell analysis to predict CAR T cell outcomes. Nat Med 26, 1813–1814 (2020). https://doi.org/10.1038/s41591-020-01157-w

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