Title |
The TLR7/8/9 Antagonist IMO-8503 Inhibits Cancer-Induced Cachexia
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Published in |
Cancer Research, December 2018
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DOI | 10.1158/0008-5472.can-17-3878 |
Pubmed ID | |
Authors |
Federica Calore, Priya Londhe, Paolo Fadda, Giovanni Nigita, Lucia Casadei, Gioacchino Paolo Marceca, Matteo Fassan, Francesca Lovat, Pierluigi Gasparini, Lara Rizzotto, Nicola Zanesi, Devine Jackson, Svasti Mehta, Patrick Nana-Sinkam, Deepa Sampath, Raphael E. Pollock, Denis C. Guttridge, Carlo M. Croce |
Abstract |
Muscle wasting is a feature of the cachexia syndrome, which contributes significantly to cancer patient mortality. We have previously demonstrated that miR-21 is secreted through extracellular vesicles (EVs) by lung and pancreatic cancer cells and promotes JNK-dependent cell death through its binding to the TLR7 receptor in murine myoblasts. Here we evaluate the ability of IMO-8503, a TLR7, 8 and 9 antagonist, to inhibit cancer-induced cachexia. Using EVs isolated from lung and pancreatic cancer cells and from patient plasma samples, we demonstrate that IMO-8503 inhibits cell death induced by circulating miRNAs with no significant toxicity. Intraperitoneal administration of the antagonist in a murine model for Lewis Lung Carcinoma (LLC-induced cachexia) strongly impaired several cachexia-related features, such as expression of Pax7 as well as caspase 3 and PARP cleavage in skeletal muscles, and significantly prevented the loss of lean mass in tumor-bearing mice. IMO-8503 also impaired circulating miRNA-induced cell death in human primary myoblasts. Taken together, our findings strongly indicate that IMO-8503 serves as a potential therapy for the treatment of cancer cachexia. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 5 | 13% |
Student > Ph. D. Student | 5 | 13% |
Student > Bachelor | 4 | 10% |
Student > Doctoral Student | 3 | 8% |
Professor | 3 | 8% |
Other | 5 | 13% |
Unknown | 14 | 36% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 8 | 21% |
Medicine and Dentistry | 5 | 13% |
Nursing and Health Professions | 3 | 8% |
Agricultural and Biological Sciences | 2 | 5% |
Computer Science | 2 | 5% |
Other | 4 | 10% |
Unknown | 15 | 38% |