Skip to main content

Advertisement

SpringerLink
Log in

Envisioning the future of precision oncology trials

  • Comment
  • Published:

From Nature Cancer

View current issue Submit your manuscript

Precision oncology trials based on cancer biomarkers have the potential to improve outcomes by guiding the optimal choice of therapies for patients. For this to be truly achieved, computational methods such as virtual molecular tumor boards, dynamic precision medicine and digital twins are needed to support cohort selection and trial enrollment at scale.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1: Paradigm for computationally driven decision support in precision oncology.

References

  1. Prasad, V., Fojo, T. & Brada, M. Lancet Oncol. 17, e81–e86 (2016).

    Article  Google Scholar 

  2. Esserman, L.J. et al. J. Clin. Oncol. https://doi.org/10.1200/jco.2009.27.18_suppl.lba515 (2009).

  3. McNeil, C. J. Natl. Cancer Inst. 107, djv193 (2015).

    Article  Google Scholar 

  4. Liu, J. et al. Cell 173, 400–416.e11 (2018).

    Article  CAS  Google Scholar 

  5. Edwards, N. J. et al. J. Proteome Res. 14, 2707–2713 (2015).

    Article  CAS  Google Scholar 

  6. Rozenblatt-Rosen, O. et al. Cell 181, 236–249 (2020).

    Article  CAS  Google Scholar 

  7. Rolfo, C. et al. ESMO Open 3, e000398 (2018).

    Article  Google Scholar 

  8. Rao, S. et al. JCO Clin. Cancer Inform. 4, 602–613 (2020).

    Article  Google Scholar 

  9. Pishvaian, M. J. et al. JAMIA Open 2, 505–515 (2019).

    Article  Google Scholar 

  10. Lamping, M. et al. Eur. J. Cancer 127, 41–51 (2020).

    Article  CAS  Google Scholar 

  11. Beckman, R. A., Schemmann, G. S. & Yeang, C.-H. Proc. Natl Acad. Sci. USA 109, 14586–14591 (2012).

    Article  CAS  Google Scholar 

  12. Alber, M. et al. NPJ Digit. Med. 2, 115 (2019).

    Article  Google Scholar 

  13. Rasheed, A., San, O. & Kvamsdal, T. arXiv https://arxiv.org/abs/1910.01719 (2019).

  14. Kim, E., Rebecca, V. W., Smalley, K. S. M. & Anderson, A. R. A. Eur. J. Cancer 67, 213–222 (2016).

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Innovation Center for Biomedical Informatics & Lombardi Comprehensive Cancer Center, Washington, DC, USA

    Subha Madhavan, Robert A. Beckman & Matthew D. McCoy

  2. Department of Oncology, Department of Biomathematics and Department of Biostatistics, Georgetown University Medical Center, Washington, DC, USA

    Robert A. Beckman

  3. Department of Oncology, Sidney Kimmel Cancer Center, Johns Hopkins University School of Medicine, Washington, DC, USA

    Michael J. Pishvaian

  4. Department of Surgery and Department of Cell, Developmental & Cancer Biology, Brenden-Colson Center for Pancreatic Care Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA

    Jonathan R. Brody

  5. Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA

    Paul Macklin

Authors
  1. Subha Madhavan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Robert A. Beckman
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Matthew D. McCoy
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Michael J. Pishvaian
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jonathan R. Brody
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Paul Macklin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Subha Madhavan.

Ethics declarations

Competing interests

J.R.B. reports personal fees (consulting fee) from Perthera.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Madhavan, S., Beckman, R.A., McCoy, M.D. et al. Envisioning the future of precision oncology trials. Nat Cancer 2, 9–11 (2021). https://doi.org/10.1038/s43018-020-00163-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s43018-020-00163-8

  • Springer Nature America, Inc.

This article is cited by

Search

Navigation