Cited by 296Protease and Inhibitor MechanismsNanoplatforms for cancer theranosticsOptical Imaging and Spectroscopy Techniques

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

A mouse-human phase 1 co-clinical trial of a protease-activated fluorescent probe for imaging cancer

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Abstract

Local recurrence is a common cause of treatment failure for patients with solid tumors. Intraoperative detection of microscopic residual cancer in the tumor bed could be used to decrease the risk of a positive surgical margin, reduce rates of reexcision, and tailor adjuvant therapy. We used a protease-activated fluorescent imaging probe, LUM015, to detect cancer in vivo in a mouse model of soft tissue sarcoma (STS) and ex vivo in a first-in-human phase 1 clinical trial. In mice, intravenous injection of LUM015 labeled tumor cells, and residual fluorescence within the tumor bed predicted local recurrence. In 15 patients with STS or breast cancer, intravenous injection of LUM015 before surgery was well tolerated. Imaging of resected human tissues showed that fluorescence from tumor was significantly higher than fluorescence from normal tissues. LUM015 biodistribution, pharmacokinetic profiles, and metabolism were similar in mouse and human subjects. Tissue concentrations of LUM015 and its metabolites, including fluorescently labeled lysine, demonstrated that LUM015 is selectively distributed to tumors where it is activated by proteases. Experiments in mice with a constitutively active PEGylated fluorescent imaging probe support a model where tumor-selective probe distribution is a determinant of increased fluorescence in cancer. These co-clinical studies suggest that the tumor specificity of protease-activated imaging probes, such as LUM015, is dependent on both biodistribution and enzyme activity. Our first-in-human data support future clinical trials of LUM015 and other protease-sensitive probes.

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  1. D. L. Taylor Y.-l. Wang Fluorescence microscopy of living cells in culture in Methods in Cell Biology L. Wilson Ed. (Academic Press San Diego CA 1989) vol. 29 pp. 1–328.

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Metadata

Authors
Whitley, M. J., Cardona, D. M., Lazarides, A. L., Spasojevic, I., Ferrer, J. M., Cahill, J., Lee, C.-L., Snuderl, M., Blazer, D. G., Hwang, E. S., Greenup, R. A., Mosca, P. J., Mito, J. K., Cuneo, K. C., Larrier, N. A., O’Reilly, E. K., Riedel, R. F., Eward, W. C., Strasfeld, D. B., Fukumura, D., Jain, R. K., Lee, W. D., Griffith, L. G., Bawendi, M. G., Kirsch, D. G., & Brigman, B. E.
Affiliations
  • Duke Medical Center (US)
  • Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA.
  • Lumicell (United States) (US)
  • Harvard University (US)
  • Massachusetts Institute of Technology (US)
Corresponding author
  • Kirsch, David G.
  • Brigman, Brian E.
Venue
Science Translational Medicine
Published
2016-01-06
Volume
8
Issue
320
Pages
320ra4-320ra4
ISSN
  • 1946-6234 (ISSN-L)
  • 1946-6242
OpenAlex
W2240104466
Cited by
296
References
40
Citations by year
2026: 24 · 2025: 18 · 2024: 20 · 2023: 23 · 2022: 32 · 2021: 43 · 2020: 36 · 2019: 18 · 2018: 33 · 2017: 31 · 2016: 17
FWCI
13.77
Type
journal article
Language
en
Open access
Locations
  • Science Translational Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
  • PMC
Funders
  • American Society of Clinical Oncology Advanced Clinical Research Award
  • NIH (#T32GM007171)
  • National Cancer Institute Small Business Innovation Research (#1U43CA165024)
  • National Center for Advancing Translational Science (#UL1TR001117)
  • Duke Comprehensive Cancer Center Support (5P30-CA-014236-38)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Protease and Inhibitor Mechanisms
  • Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
Keywords
tumor imaging, soft tissue sarcoma, breast cancer, local recurrence, intraoperative tumor detection, tumor bed, pharmacokinetics, lysine labeling
MeSH terms
Animals, Breast Neoplasms, Diagnostic Imaging, Disease Models, Animal, Female, Fluorescent Dyes, Humans, Injections, Intravenous, Neoplasms, Peptide Hydrolases, Sarcoma, Tissue Distribution, Mice, Metabolome

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