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Intralesional Injection of Rose Bengal Induces a Systemic Tumor-Specific Immune Response in Murine Models of Melanoma and Breast Cancer

Overview of attention for article published in PLOS ONE, July 2013
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Title
Intralesional Injection of Rose Bengal Induces a Systemic Tumor-Specific Immune Response in Murine Models of Melanoma and Breast Cancer
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0068561
Pubmed ID
Authors

Paul Toomey, Krithika Kodumudi, Amy Weber, Lisa Kuhn, Ellen Moore, Amod A. Sarnaik, Shari Pilon-Thomas

Abstract

Intralesional (IL) injection of PV-10 has shown to induce regression of both injected and non-injected lesions in patients with melanoma. To determine an underlying immune mechanism, the murine B16 melanoma model and the MT-901 breast cancer model were utilized. In BALB/c mice bearing MT-901 breast cancer, injection of PV-10 led to regression of injected and untreated contralateral subcutaneous lesions. In a murine model of melanoma, B16 cells were injected into C57BL/6 mice to establish one subcutaneous tumor and multiple lung lesions. Treatment of the subcutaneous lesion with a single injection of IL PV-10 led to regression of the injected lesion as well as the distant B16 melanoma lung metastases. Anti-tumor immune responses were measured in splenocytes collected from mice treated with IL PBS or PV-10. Splenocytes isolated from tumor bearing mice treated with IL PV-10 demonstrated enhanced tumor-specific IFN-gamma production compared to splenocytes from PBS-treated mice in both models. In addition, a significant increase in lysis of B16 cells by T cells isolated after PV-10 treatment was observed. Transfer of T cells isolated from tumor-bearing mice treated with IL PV-10 led to tumor regression in mice bearing B16 melanoma. These studies establish that IL PV-10 therapy induces tumor-specific T cell-mediated immunity in multiple histologic subtypes and support the concept of combining IL PV10 with immunotherapy for advanced malignancies.

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Geographical breakdown

Country Count As %
United States 2 4%
Russia 1 2%
France 1 2%
Italy 1 2%
Unknown 41 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Other 7 15%
Professor > Associate Professor 6 13%
Researcher 5 11%
Student > Bachelor 3 7%
Other 7 15%
Unknown 8 17%
Readers by discipline Count As %
Medicine and Dentistry 11 24%
Agricultural and Biological Sciences 9 20%
Biochemistry, Genetics and Molecular Biology 4 9%
Chemistry 4 9%
Physics and Astronomy 2 4%
Other 7 15%
Unknown 9 20%