Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy

Carlos Pérez-Medina; Dalya Abdel-Atti; Jun Tang; Yiming Zhao; Zahi A. Fayad; Jason S. Lewis; Willem J. M. Mulder; Thomas Reiner

doi:10.1038/ncomms11838

Nature Communications (Jun 2016)

Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy

Carlos Pérez-Medina,
Dalya Abdel-Atti,
Jun Tang,
Yiming Zhao,
Zahi A. Fayad,
Jason S. Lewis,
Willem J. M. Mulder,
Thomas Reiner

Affiliations

Carlos Pérez-Medina: Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai
Dalya Abdel-Atti: Department of Radiology, Memorial Sloan Kettering Cancer Center
Jun Tang: Department of Radiology, 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: Department of Radiology, Memorial Sloan Kettering Cancer Center
Willem J. M. Mulder: Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai
Thomas Reiner: Department of Radiology, Memorial Sloan Kettering Cancer Center

DOI: https://doi.org/10.1038/ncomms11838
Journal volume & issue: Vol. 7, no. 1
pp. 1 – 8

Abstract

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Nanoparticle drug formulations are currently used as cancer treatment but the response in patients is highly variable. Here, the authors developed a Zirconium-89 nanoreporter able to predict using PET, therapeutic accumulation and efficacy of anti-cancer nanoparticle drug formulations when co-injected in a murine breast cancer model.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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