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Genetic mechanisms of target antigen loss in CAR19 therapy of acute lymphoblastic leukemia

Abstract

We identified genetic mutations in CD19 and loss of heterozygosity at the time of CD19 relapse to chimeric antigen receptor (CAR) therapy. The mutations are present in the vast majority of resistant tumor cells and are predicted to lead to a truncated protein with a nonfunctional or absent transmembrane domain and consequently to a loss of surface antigen. This irreversible loss of CD19 advocates for an alternative targeting or combination CAR approach.

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Fig. 1: Wild-type (WT) CD19 and the predicted mutated CD19 protein structures for the CD19/r patients.
Fig. 2: Loss of CD19 in CD19-relapsed patients is explained by CD19 loss-of-function mutations and not by exon skipping.

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References

  1. Grupp, S. A. et al. Blood 122, 67 (2013).

    Google Scholar 

  2. Maude, S. L. et al. N. Engl. J. Med. 378, 439–448 (2018).

    Article  CAS  Google Scholar 

  3. Maude, S. L. et al. Blood 128, 2801 (2016).

    Google Scholar 

  4. Buechner, J. et al. EHA 17, abstr. S476 (2017).

  5. Wang, Z., Wu, Z., Liu, Y. & Han, W. J. Hematol. Oncol. 10, 53 (2017).

    Article  Google Scholar 

  6. Ruella, M. & Maus, M. V. Comput. Struct. Biotechnol. J. 14, 357–362 (2016).

    Article  CAS  Google Scholar 

  7. Riester, M. et al. Source Code Biol. Med. 11, 13 (2016).

    Article  Google Scholar 

  8. Sotillo, E. et al. Cancer Discov. 5, 1282–1295 (2015).

    Article  CAS  Google Scholar 

  9. Shen, S. et al. Proc. Natl. Acad. Sci. USA 111, E5593–E5601 (2014).

    Article  CAS  Google Scholar 

  10. Jacoby, E. et al. Nat. Commun. 7, 12320 (2016).

    Article  CAS  Google Scholar 

  11. Gardner, R. et al. Blood 127, 2406–2410 (2016).

    Article  CAS  Google Scholar 

  12. Sommermeyer, D. et al. Leukemia 31, 2191–2199 (2017).

    Article  CAS  Google Scholar 

  13. Shah, N. N. et al. Blood 128, 650 (2016).

    Article  Google Scholar 

  14. Topp, M. S. et al. J. Clin. Oncol. 32, 4134–4140 (2014).

    Article  CAS  Google Scholar 

  15. Zugmaier, G. et al. Blood 126, 2578–2584 (2015).

    Article  CAS  Google Scholar 

  16. Cibulskis, K. et al. Nat. Biotechnol. 31, 213–219 (2013).

    Article  CAS  Google Scholar 

  17. Ye, K., Schulz, M. H., Long, Q., Apweiler, R. & Ning, Z. Bioinformatics 25, 2865–2871 (2009).

    Article  CAS  Google Scholar 

  18. Sherry, S. T. et al. Nucleic Acids Res. 29, 308–311 (2001).

    Article  CAS  Google Scholar 

  19. Forbes, S. A. et al. Nucleic Acids Res. 43, D805–D811 (2015).

    Article  CAS  Google Scholar 

  20. Li, H. & Durbin, R. Bioinformatics 25, 1754–1760 (2009).

    Article  CAS  Google Scholar 

  21. McKenna, A. et al. Genome Res. 20, 1297–1303 (2010).

    Article  CAS  Google Scholar 

  22. DePristo, M. A. et al. Nat. Genet. 43, 491–498 (2011).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The authors thank the patients and their families for participating in these clinical trials and A. Abrams for figure design.

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Contributions

J.E.L., M.Q., S.A.G., M.B., B.D.M., E.R.N., H. Bittencourt, H.H., J.B., S.M.D., and M.V. contributed patient samples for sequencing. P.A.W. provided clinical data on the patients. R.J.L. oversaw the DNA- and RNA-seq. E.J.O. and M.R. analyzed and interpreted the sequencing data. X.H., P.P., and K.N. analyzed and interpreted the flow cytometry MRD assay data. W.W., J.A.E., H. Bitter, M.M., J.L.B., C.T., and S.P. provided guidance and scientific input. E.J.O. wrote the paper, with contributions from all authors.

Corresponding author

Correspondence to Elena J. Orlando.

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Competing interests

The research samples used in this manuscript come from patients treated on clinical trials conducted by Novartis. J.E.L., M.Q., H. Bittencourt, S.M.D, and S.A.G. consult for Novartis. E.J.O., X.H., C.T., P.A.W., R.J.L., M.R., J.L.B., H.Bitter, M.M., P.P., S.P., J.A.E., and W.W. are employed by Novartis or were employed by Novartis at the time of manuscript preparation.

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Orlando, E.J., Han, X., Tribouley, C. et al. Genetic mechanisms of target antigen loss in CAR19 therapy of acute lymphoblastic leukemia. Nat Med 24, 1504–1506 (2018). https://doi.org/10.1038/s41591-018-0146-z

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  • DOI: https://doi.org/10.1038/s41591-018-0146-z

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