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Comprehensive genomic access to vector integration in clinical gene therapy

Abstract

Retroviral vectors have induced subtle clonal skewing in many gene therapy patients and severe clonal proliferation and leukemia in some of them, emphasizing the need for comprehensive integration site analyses to assess the biosafety and genomic pharmacokinetics of vectors and clonal fate of gene-modified cells in vivo. Integration site analyses such as linear amplification–mediated PCR (LAM-PCR) require a restriction digest generating unevenly small fragments of the genome. Here we show that each restriction motif allows for identification of only a fraction of all genomic integrants, hampering the understanding and prediction of biological consequences after vector insertion. We developed a model to define genomic access to the viral integration site that provides optimal restriction motif combinations and minimizes the percentage of nonaccessible insertion loci. We introduce a new nonrestrictive LAM-PCR approach that has superior capabilities for comprehensive unbiased integration site retrieval in preclinical and clinical samples independent of restriction motifs and amplification inefficiency.

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Figure 1: Modeling the genomic accessibility of viral integration sites.
Figure 2: Limitations in effective co-amplification of long LAM–PCR amplicons.
Figure 3: Limitations in integration site retrieval for a leukemic human subject sample from an X-SCID gene therapy trial.
Figure 4: Comparison between standard and nrLAM–PCR.
Figure 5: nrLAM-PCR on mono-, oligo- and polyclonal clinical and preclinical samples.

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References

  1. Aiuti, A. et al. Correction of ADA-SCID by stem cell gene therapy combined with nonmyeloablative conditioning. Science 296, 2410–2413 (2002).

    Article  CAS  Google Scholar 

  2. Cavazzana-Calvo, M. et al. Gene therapy of human severe combined immunodeficiency (SCID)-X1 disease. Science 288, 669–672 (2000).

    Article  CAS  Google Scholar 

  3. Flotte, T.R. Gene therapy: the first two decades and the current state-of-the-art. J. Cell. Physiol. 213, 301–305 (2007).

    Article  CAS  Google Scholar 

  4. Gaspar, H.B. et al. Gene therapy of X-linked severe combined immunodeficiency by use of a pseudotyped gammaretroviral vector. Lancet 364, 2181–2187 (2004).

    Article  CAS  Google Scholar 

  5. Hacein-Bey-Abina, S. et al. LMO2-associated clonal T cell proliferation in two patients after gene therapy for SCID-X1. Science 302, 415–419 (2003).

    Article  CAS  Google Scholar 

  6. Howe, S. et al. Insertional mutagenesis in combination with acquired somatic mutations leads to leukemogenesis following gene therapy of SCID-X1. J. Clin. Invest. 118, 3143–3150 (2008).

    Article  CAS  Google Scholar 

  7. Ott, M.G. et al. Correction of X-linked chronic granulomatous disease by gene therapy, augmented by insertional activation of MDS1-EVI1, PRDM16 or SETBP1. Nat. Med. 12, 401–409 (2006).

    Article  CAS  Google Scholar 

  8. Aiuti, A. et al. Multilineage hematopoietic reconstitution without clonal selection in ADA-SCID patients treated with stem cell gene therapy. J. Clin. Invest. 117, 2233–2240 (2007).

    Article  CAS  Google Scholar 

  9. Bohne, J. & Cathomen, T. Genotoxicity in gene therapy: An account of vector integration and designer nucleases. Curr. Opin. Mol. Ther. 10, 214–223 (2008).

    CAS  PubMed  Google Scholar 

  10. Deichmann, A. et al. Vector integration is nonrandom and clustered and influences the fate of lymphopoiesis in SCID-X1 gene therapy. J. Clin. Invest. 117, 2225–2232 (2007).

    Article  CAS  Google Scholar 

  11. Schwarzwaelder, K. et al. Gammaretrovirus-mediated correction of SCID-X1 is associated with skewed vector integration site distribution in vivo. J. Clin. Invest. 117, 2241–2249 (2007).

    Article  CAS  Google Scholar 

  12. Schmidt, M. et al. High-resolution insertion-site analysis by linear amplification-mediated PCR (LAM-PCR). Nat. Methods 4, 1051–1057 (2007).

    Article  CAS  Google Scholar 

  13. Schmidt, M. et al. Polyclonal long-term repopulating stem cell clones in a primate model. Blood 100, 2737–2743 (2002).

    Article  CAS  Google Scholar 

  14. Mueller, P.R. & Wold, B. In vivo footprinting of a muscle-specific enhancer by ligation mediated PCR. Science 246, 780–786 (1989).

    Article  CAS  Google Scholar 

  15. Silver, J. & Keerikatte, V. Novel use of polymerase chain reaction to amplify cellular DNA adjacent to an integrated provirus. J. Virol. 63, 1924–1928 (1989).

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Harkey, M.A. et al. Multiarm high-throughput integration site detection: limitations of LAM-PCR technology and optimization for clonal analysis. Stem Cells Dev. 16, 381–392 (2007).

    Article  CAS  Google Scholar 

  17. Wang, G.P. et al. DNA bar coding and pyrosequencing to analyze adverse events in therapeutic gene transfer. Nucleic Acids Res. 36, e49 (2008).

    Article  Google Scholar 

  18. International Human Genome Sequencing Consortium. Finishing the euchromatic sequence of the human genome. Nature 431, 931–945 (2004).

  19. Bovee, D. et al. Closing gaps in the human genome with fosmid resources generated from multiple individuals. Nat. Genet. 40, 96–101 (2008).

    Article  CAS  Google Scholar 

  20. Lander, E.S. et al. Initial sequencing and analysis of the human genome. Nature 409, 860–921 (2001).

    Article  CAS  Google Scholar 

  21. Kent, W.J. BLAT––the BLAST-like alignment tool. Genome Res. 12, 656–664 (2002).

    Article  CAS  Google Scholar 

  22. Mikkers, H. et al. High-throughput retroviral tagging to identify components of specific signaling pathways in cancer. Nat. Genet. 32, 153–159 (2002).

    Article  CAS  Google Scholar 

  23. Modlich, U. et al. Cell-culture assays reveal the importance of retroviral vector design for insertional genotoxicity. Blood 108, 2545–2553 (2006).

    Article  CAS  Google Scholar 

  24. Montini, E. et al. Hematopoietic stem cell gene transfer in a tumor-prone mouse model uncovers low genotoxicity of lentiviral vector integration. Nat. Biotechnol. 24, 687–696 (2006).

    Article  CAS  Google Scholar 

  25. Suzuki, T. et al. New genes involved in cancer identified by retroviral tagging. Nat. Genet. 32, 166–174 (2002).

    Article  CAS  Google Scholar 

  26. Altschul, S.F., Gish, W., Miller, W., Myers, E.W. & Lipman, D.J. Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990).

    Article  CAS  Google Scholar 

  27. Gotoh, O. An improved algorithm for matching biological sequences. J. Mol. Biol. 162, 705–708 (1982).

    Article  CAS  Google Scholar 

  28. Smith, T.F. & Waterman, M.S. Identification of common molecular subsequences. J. Mol. Biol. 147, 195–197 (1981).

    Article  CAS  Google Scholar 

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Acknowledgements

We thank I. Kutschera, N. Krenzer, C. Lulay, S. Braun and D. Glagow for technical assistance and O. Danos for fruitful discussions about the model. Funding was provided by the Deutsche Forschungsgemeinschaft (SPP1230, grant of the Tumor Center Heidelberg/Mannheim), by the Bundesministerium für Bildung und Forschung (iGene), by the VIth + VIIth Framework Programs of the European Commission (Concerted Safety & Efficiency Evaluation of Retroviral Transgenesis in Gene Therapy of Inherited Diseases (CONSERT), European Network for the Advancement of Clinical Gene Transfer and Therapy (CLINIGENE) and Persisting Transgenesis (PERSIST)) and by the Initiative and Networking Fund of the Helmholtz Association within the Helmholtz Alliance on Immunotherapy of Cancer.

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Authors and Affiliations

Authors

Contributions

R.E., C.v.K., W.S. and M.S. conceived of the genome accessibility model and interpreted data. R.E. and W.S. conducted bioinformatics analyses. C.v.K. and M.S., R.G., A.P. and H.G. developed the concept of nrLAM and designed experiments. R.G., A.P., A.N., C.C.B. and C.R.B. performed experiments. W.W. provided lentiviral vectors. D.C., E.M., L.N., L.B., A. Aiuti, O.C.-H., K.S.B., R.J.Y.-M., R.R.A., A.R., C.C. and F.M. provided retroviral integration site data sets; C.C.B. and A. Arens performed LAM-PCR and generated the data on these samples. C.C.B., K.S., A. Arens, K.F. and A.D. generated LAM data on X-SCID samples provided by S.J.H., H.B.G. and A.J.T. R.G., R.E., A.P., C.C.B., R.K., W.S., C.v.K. and M.S. prepared and wrote the manuscript.

Corresponding author

Correspondence to Christof von Kalle.

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Supplementary Figures 1–4, Supplementary Tables 1–9 and Supplementary Methods (PDF 1044 kb)

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Gabriel, R., Eckenberg, R., Paruzynski, A. et al. Comprehensive genomic access to vector integration in clinical gene therapy. Nat Med 15, 1431–1436 (2009). https://doi.org/10.1038/nm.2057

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