Title |
Cancer cell–selective in vivo near infrared photoimmunotherapy targeting specific membrane molecules
|
---|---|
Published in |
Nature Medicine, November 2011
|
DOI | 10.1038/nm.2554 |
Pubmed ID | |
Authors |
Makoto Mitsunaga, Mikako Ogawa, Nobuyuki Kosaka, Lauren T Rosenblum, Peter L Choyke, Hisataka Kobayashi |
Abstract |
Three major modes of cancer therapy (surgery, radiation and chemotherapy) are the mainstay of modern oncologic therapy. To minimize the side effects of these therapies, molecular-targeted cancer therapies, including armed antibody therapy, have been developed with limited success. In this study, we have developed a new type of molecular-targeted cancer therapy, photoimmunotherapy (PIT), that uses a target-specific photosensitizer based on a near-infrared (NIR) phthalocyanine dye, IR700, conjugated to monoclonal antibodies (mAbs) targeting epidermal growth factor receptors. Cell death was induced immediately after irradiating mAb-IR700-bound target cells with NIR light. We observed in vivo tumor shrinkage after irradiation with NIR light in target cells expressing the epidermal growth factor receptor. The mAb-IR700 conjugates were most effective when bound to the cell membrane and produced no phototoxicity when not bound, suggesting a different mechanism for PIT as compared to conventional photodynamic therapies. Target-selective PIT enables treatment of cancer based on mAb binding to the cell membrane. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 7 | 37% |
United States | 1 | 5% |
Austria | 1 | 5% |
Unknown | 10 | 53% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 16 | 84% |
Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Scientists | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 16 | 2% |
United States | 7 | 1% |
Germany | 2 | <1% |
Netherlands | 2 | <1% |
Spain | 2 | <1% |
United Kingdom | 2 | <1% |
Canada | 1 | <1% |
Belgium | 1 | <1% |
Hungary | 1 | <1% |
Other | 4 | <1% |
Unknown | 619 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 137 | 21% |
Researcher | 123 | 19% |
Student > Master | 69 | 11% |
Student > Bachelor | 57 | 9% |
Student > Doctoral Student | 38 | 6% |
Other | 97 | 15% |
Unknown | 136 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 128 | 19% |
Agricultural and Biological Sciences | 102 | 16% |
Medicine and Dentistry | 91 | 14% |
Biochemistry, Genetics and Molecular Biology | 60 | 9% |
Engineering | 42 | 6% |
Other | 82 | 12% |
Unknown | 152 | 23% |