IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v7y2016i1d10.1038_ncomms13325.html
   My bibliography  Save this article

Theranostic barcoded nanoparticles for personalized cancer medicine

Author

Listed:
  • Zvi Yaari

    (Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Technion—Israel Institute of Technology)

  • Dana da Silva

    (Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Technion—Israel Institute of Technology)

  • Assaf Zinger

    (Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Technion—Israel Institute of Technology)

  • Evgeniya Goldman

    (Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Technion—Israel Institute of Technology)

  • Ashima Kajal

    (Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Technion—Israel Institute of Technology)

  • Rafi Tshuva

    (Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Technion—Israel Institute of Technology)

  • Efrat Barak

    (Infrastructure Unit, Life Science and Engineering Center, Technion—Israel Institute of Technology)

  • Nitsan Dahan

    (Infrastructure Unit, Life Science and Engineering Center, Technion—Israel Institute of Technology)

  • Dov Hershkovitz

    (Clinical Pathology Unit, Rambam Medical Center)

  • Mor Goldfeder

    (Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Technion—Israel Institute of Technology)

  • Janna Shainsky Roitman

    (Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Technion—Israel Institute of Technology)

  • Avi Schroeder

    (Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Technion—Israel Institute of Technology)

Abstract

Personalized medicine promises to revolutionize cancer therapy by matching the most effective treatment to the individual patient. Using a nanoparticle-based system, we predict the therapeutic potency of anticancer medicines in a personalized manner. We carry out the diagnostic stage through a multidrug screen performed inside the tumour, extracting drug activity information with single cell sensitivity. By using 100 nm liposomes, loaded with various cancer drugs and corresponding synthetic DNA barcodes, we find a correlation between the cell viability and the drug it was exposed to, according to the matching barcodes. Based on this screen, we devise a treatment protocol for mice bearing triple-negative breast-cancer tumours, and its results confirm the diagnostic prediction. We show that the use of nanotechnology in cancer care is effective for generating personalized treatment protocols.

Suggested Citation

  • Zvi Yaari & Dana da Silva & Assaf Zinger & Evgeniya Goldman & Ashima Kajal & Rafi Tshuva & Efrat Barak & Nitsan Dahan & Dov Hershkovitz & Mor Goldfeder & Janna Shainsky Roitman & Avi Schroeder, 2016. "Theranostic barcoded nanoparticles for personalized cancer medicine," Nature Communications, Nature, vol. 7(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13325
    DOI: 10.1038/ncomms13325
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms13325
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/ncomms13325?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xin Li & Yong Hu & Xingcai Zhang & Xiangyang Shi & Wolfgang J. Parak & Andrij Pich, 2024. "Transvascular transport of nanocarriers for tumor delivery," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    2. Jiaye Liu & Yang Wang & Chunyang Mu & Meng Li & Kewei Li & Shan Li & Wenshuang Wu & Lingyao Du & Xiaoyun Zhang & Chuan Li & Wei Peng & Junyi Shen & Yang Liu & Dujiang Yang & Kaixiang Zhang & Qingyang , 2022. "Pancreatic tumor eradication via selective Pin1 inhibition in cancer-associated fibroblasts and T lymphocytes engagement," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13325. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.