Skip to main navigation Skip to search Skip to main content

Glucose-Functionalized Liposomes for Reducing False Positives in Cancer Diagnosis

  • Bar-Ilan University
  • Hadassah University Medical Centre

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Fluorodeoxyglucose-positron emission tomography (18F-FDG-PET) is a powerful tool for cancer detection, staging, and follow-up. However, 18F-FDG-PET imaging has high rates of false positives, as it cannot distinguish between tumor and inflammation regions that both feature increased glucose metabolic activity. In the present study, we engineered liposomes coated with glucose and the chelator dodecane tetraacetic acid (DOTA) complexed with copper, to serve as a diagnostic technology for differentiating between cancer and inflammation. This liposome technology is based on FDA-approved materials and enables complexation with metal cations and radionuclides. We found that these liposomes were preferentially uptaken by cancer cell lines with high metabolic activity, mediated via glucose transporter-1. In vivo, these liposomes were avidly uptaken by tumors, as compared to liposomes without glucose coating. Moreover, in a combined tumor-inflammation mouse model, these liposomes accumulated in the tumor tissue and not in the inflammation region. Thus, this technology shows high specificity for tumors while evading inflammation and has potential for rapid translation to the clinic and integration with existing PET imaging systems, for effective reduction of false positives in cancer diagnosis.

Original languageEnglish
Pages (from-to)1301-1309
Number of pages9
JournalACS Nano
Volume15
Issue number1
DOIs
StatePublished - 26 Jan 2021

Bibliographical note

Publisher Copyright:
©

Funding

This work was funded by the Israel Innovation Authority’s Magneton program, Grant 66024, and supported by Ze’ev Jabotinsky doctoral scholarship granted to Chen Tzror-Azankot by the Ministry of Science, Technology & Space, Israel.

FundersFunder number
Israel Innovation Authority’s Magneton program66024
Ministry of Science, Technology & Space, Israel

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • false positives
    • glucose
    • inflammation
    • liposomes
    • tumor

    Fingerprint

    Dive into the research topics of 'Glucose-Functionalized Liposomes for Reducing False Positives in Cancer Diagnosis'. Together they form a unique fingerprint.

    Cite this