Publication:
Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy

dc.contributor.authorPerez-Medina, Carlos
dc.contributor.authorAbdel-Atti, Dalya
dc.contributor.authorTang, Jun
dc.contributor.authorZhao, Yiming
dc.contributor.authorFayad, Zahi A
dc.contributor.authorLewis, Jason S.
dc.contributor.authorMulder, Willem J M
dc.contributor.authorReiner, Thomas
dc.contributor.funderMemorial Sloan Kettering Cancer Center
dc.contributor.funderNational Institutes of Health (Estados Unidos)
dc.contributor.funderFundación ProCNIC
dc.date.accessioned2017-10-30T13:15:45Z
dc.date.available2017-10-30T13:15:45Z
dc.date.issued2016
dc.description.abstractThe 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 (Zr-89-NRep) allows precise doxorubicin (DOX) quantification. Importantly, Zr-89-NRep uptake also correlates with other types of nanoparticles' tumour accumulation. Zr-89-NRep PET imaging reveals remarkable accumulation heterogeneity independent of tumour size. We subsequently demonstrate that mice with 425 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.
dc.description.peerreviewed
dc.description.sponsorshipWe thank the Small Animal Imaging Core, the Radiochemistry and Molecular Imaging Probes Core and the Molecular Cytology Core at Memorial Sloan Kettering Cancer Center for support. This work was supported by National Institutes of Health grants NIH 1 R01 HL125703 (W.J.M.M.), R01CA155432 (W.J.M.M.), R01 HL118440 (W.J.M.M.) and NWO Vidi (W.J.M.M.), K25 EB016673 (T.R.) and P30 CA008748, and the CNIC CardioImage program (C.P.M). The authors also thank the Center for Molecular Imaging and Nanotechnology (CMINT) for financial support (T.R.), and K. Joyes for editing the manuscript.
dc.format.volume7
dc.identifierISI:000379075000001
dc.identifier.citationNat Commun. 2016; 7:11838
dc.identifier.doi10.1038/ncomms11838
dc.identifier.issn2041-1723
dc.identifier.journalNature Communications
dc.identifier.pubmedID27319780
dc.identifier.urihttp://hdl.handle.net/20.500.12105/5227
dc.language.isoeng
dc.publisherNature Publishing Group
dc.relation.publisherversionhttps://doi.org/10.1038/ncomms11838
dc.repisalud.institucionCNIC
dc.repisalud.orgCNICCNIC::Unidades técnicas::Imagen Avanzada
dc.rights.licenseAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectPEGYLATED LIPOSOMAL DOXORUBICIN
dc.subjectMETASTATIC BREAST-CANCER
dc.subjectNAB-PACLITAXEL
dc.subjectOVARIAN-CANCER
dc.subjectDRUG-DELIVERY
dc.subjectTUMOR
dc.subjectNANOMEDICINES
dc.subjectMANAGEMENT
dc.subjectONCOLOGY
dc.subjectIMPACT
dc.titleNanoreporter PET predicts the efficacy of anti-cancer nanotherapy
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication83f5958f-fd59-4a29-90b6-e4d6e25a24e4
relation.isAuthorOfPublication.latestForDiscovery83f5958f-fd59-4a29-90b6-e4d6e25a24e4

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