Synthesis and evaluation of Tc-99m-labeled RRL-containing peptide as a non-invasive tumor imaging agent in a mouse fibrosarcoma model View Full Text


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Article Info

DATE

2015-11

AUTHORS

Dae-Weung Kim, Woo Hyoung Kim, Myoung Hyoun Kim, Chang Guhn Kim

ABSTRACT

OBJECTIVE: Arginine-arginine-leucine (RRL) is considered a tumor endothelial cell-specific binding sequence. RRL-containing peptide targeting tumor vessels is an excellent candidate for tumor imaging. In this study, we developed RRL-containing hexapeptides and evaluated their feasibility as a tumor imaging agent in a HT-1080 fibrosarcoma-bearing murine model. METHODS: The hexapeptide, glutamic acid-cysteine-glycine (ECG)-RRL was synthesized using Fmoc solid-phase peptide synthesis. Radiolabeling efficiency was evaluated using instant thin-layer chromatography. Uptake of Tc-99m ECG-RRL within HT-1080 cells was evaluated in vitro by confocal microscopy and cellular binding affinity was calculated. Gamma images were acquired In HT-1080 fibrosarcoma tumor-bearing mice, and the tumor-to-muscle uptake ratio was calculated. The inflammatory-to-normal muscle uptake ratio was also calculated in an inflammation mouse model. A biodistribution study was performed to calculate %ID/g. RESULTS: A high yield of Tc-99m ECG-RRL complexes was prepared after Tc-99m radiolabeling. Binding of Tc-99m ECG-RRL to tumor cells had was confirmed by in vitro studies. Gamma camera imaging in the murine model showed that Tc-99m ECG-RRL accumulated substantially in the subcutaneously engrafted tumor and that tumoral uptake was blocked by co-injecting excess RRL. Moreover, Tc-99m ECG-RRL accumulated minimally in inflammatory lesions. CONCLUSIONS: We successfully developed Tc-99m ECG-RRL as a new tumor imaging candidate. Specific tumoral uptake of Tc-99m ECG-RRL was evaluated both in vitro and in vivo, and it was determined to be a good tumor imaging candidate. Additionally, Tc-99m ECG-RRL effectively distinguished between cancerous tissue and inflammatory lesions. More... »

PAGES

779-785

References to SciGraph publications

  • 2012-03. Effect of Animal Condition and Fluvoxamine on the Result of [18F]N-3-Fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl) Nortropane ([18F]FP-CIT) PET Study in Mice in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2013-12. Novel Tc-99m labeled ELR-containing 6-mer peptides for tumor imaging in epidermoid carcinoma xenografts model: a pilot study in ANNALS OF NUCLEAR MEDICINE
  • 2011-12. The further study on radioiodinated peptide Arg-Arg-Leu targeted to neovascularization as well as tumor cells in molecular tumor imaging in JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY
  • 2006-01. Targeted molecular imaging in oncology in ANNALS OF NUCLEAR MEDICINE
  • 2000-12. A Novel Approach for the Identification of Unique Tumor Vasculature Binding Peptides Using an E. coli Peptide Display Library in ANNALS OF SURGICAL ONCOLOGY
  • 2006-08. PET and PET/CT using 18F-FDG in the diagnosis and management of cancer patients in INTERNATIONAL JOURNAL OF CLINICAL ONCOLOGY
  • 2008-01. Fluorine-18-labeled 5-fluorouracil is a useful radiotracer for differentiation of malignant tumors from inflammatory lesions in ANNALS OF NUCLEAR MEDICINE
  • 2012-03. Development of a 68Ga-Fluorinated Porphyrin Complex as a Possible PET Imaging Agent in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2012-03. Use of radioiodinated peptide Arg-Arg-Leu targeted to neovascularization as well as tumor cells in molecular tumor imaging in CHINESE JOURNAL OF CANCER RESEARCH
  • 2010-01. Study on biodistribution and imaging of radioiodinated arginine-arginine-leucine peptide in nude mice bearing human prostate carcinoma in ANNALS OF NUCLEAR MEDICINE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12149-015-1002-6

    DOI

    http://dx.doi.org/10.1007/s12149-015-1002-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1036862146

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26179963


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    51 schema:description OBJECTIVE: Arginine-arginine-leucine (RRL) is considered a tumor endothelial cell-specific binding sequence. RRL-containing peptide targeting tumor vessels is an excellent candidate for tumor imaging. In this study, we developed RRL-containing hexapeptides and evaluated their feasibility as a tumor imaging agent in a HT-1080 fibrosarcoma-bearing murine model. METHODS: The hexapeptide, glutamic acid-cysteine-glycine (ECG)-RRL was synthesized using Fmoc solid-phase peptide synthesis. Radiolabeling efficiency was evaluated using instant thin-layer chromatography. Uptake of Tc-99m ECG-RRL within HT-1080 cells was evaluated in vitro by confocal microscopy and cellular binding affinity was calculated. Gamma images were acquired In HT-1080 fibrosarcoma tumor-bearing mice, and the tumor-to-muscle uptake ratio was calculated. The inflammatory-to-normal muscle uptake ratio was also calculated in an inflammation mouse model. A biodistribution study was performed to calculate %ID/g. RESULTS: A high yield of Tc-99m ECG-RRL complexes was prepared after Tc-99m radiolabeling. Binding of Tc-99m ECG-RRL to tumor cells had was confirmed by in vitro studies. Gamma camera imaging in the murine model showed that Tc-99m ECG-RRL accumulated substantially in the subcutaneously engrafted tumor and that tumoral uptake was blocked by co-injecting excess RRL. Moreover, Tc-99m ECG-RRL accumulated minimally in inflammatory lesions. CONCLUSIONS: We successfully developed Tc-99m ECG-RRL as a new tumor imaging candidate. Specific tumoral uptake of Tc-99m ECG-RRL was evaluated both in vitro and in vivo, and it was determined to be a good tumor imaging candidate. Additionally, Tc-99m ECG-RRL effectively distinguished between cancerous tissue and inflammatory lesions.
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