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Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy

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  • Carlos Pérez-Medina

    (Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai
    Centro de Investigación en Red de Enfermedades Respiratorias
    Advanced Imaging Unit, Centro Nacional de Investigaciones Cardiovasculares, CNIC)

  • Dalya Abdel-Atti

    (Memorial Sloan Kettering Cancer Center)

  • Jun Tang

    (Memorial Sloan Kettering Cancer Center)

  • Yiming Zhao

    (Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai)

  • Zahi A. Fayad

    (Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai)

  • Jason S. Lewis

    (Memorial Sloan Kettering Cancer Center
    Weill Cornell Medical College
    Molecular Pharmacology & Chemistry Program, Memorial Sloan Kettering Cancer Center)

  • Willem J. M. Mulder

    (Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai
    Academic Medical Center)

  • Thomas Reiner

    (Memorial Sloan Kettering Cancer Center
    Weill Cornell Medical College)

Abstract

The application of nanoparticle drug formulations, such as nanoliposomal doxorubicin (Doxil), is increasingly integrated in clinical cancer care. Despite nanomedicine’s remarkable potential and growth over the last three decades, its clinical benefits for cancer patients vary. Here we report a non-invasive quantitative positron emission tomography (PET) nanoreporter technology that is predictive of therapeutic outcome in individual subjects. In a breast cancer mouse model, we demonstrate that co-injecting Doxil and a Zirconium-89 nanoreporter (89Zr-NRep) allows precise doxorubicin (DOX) quantification. Importantly, 89Zr-NRep uptake also correlates with other types of nanoparticles’ tumour accumulation. 89Zr-NRep PET imaging reveals remarkable accumulation heterogeneity independent of tumour size. We subsequently demonstrate that mice with >25 mg kg−1 DOX accumulation in tumours had significantly better growth inhibition and enhanced survival. This non-invasive imaging tool may be developed into a robust inclusion criterion for patients amenable to nanotherapy.

Suggested Citation

  • Carlos Pérez-Medina & Dalya Abdel-Atti & Jun Tang & Yiming Zhao & Zahi A. Fayad & Jason S. Lewis & Willem J. M. Mulder & Thomas Reiner, 2016. "Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy," Nature Communications, Nature, vol. 7(1), pages 1-8, September.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11838
    DOI: 10.1038/ncomms11838
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