Title |
Differential knockdown of TGF-β ligands in a three-dimensional co-culture tumor- stromal interaction model of lung cancer
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Published in |
BMC Cancer, August 2014
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DOI | 10.1186/1471-2407-14-580 |
Pubmed ID | |
Authors |
Masafumi Horie, Akira Saito, Satoshi Noguchi, Yoko Yamaguchi, Mitsuhiro Ohshima, Yasuyuki Morishita, Hiroshi I Suzuki, Tadashi Kohyama, Takahide Nagase |
Abstract |
Transforming growth factor (TGF)-β plays a pivotal role in cancer progression through regulating cancer cell proliferation, invasion, and remodeling of the tumor microenvironment. Cancer-associated fibroblasts (CAFs) are the predominant type of stromal cell, in which TGF-β signaling is activated. Among the strategies for TGF-β signaling inhibition, RNA interference (RNAi) targeting of TGF-β ligands is emerging as a promising tool. Although preclinical studies support the efficacy of this therapeutic strategy, its effect on the tumor microenvironment in vivo remains unknown. In addition, differential effects due to knockdown of various TGF-β ligand isoforms have not been examined. Therefore, an experimental model that recapitulates tumor-stromal interaction is required for validation of therapeutic agents. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Norway | 1 | 3% |
Unknown | 29 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 27% |
Researcher | 4 | 13% |
Professor > Associate Professor | 3 | 10% |
Other | 2 | 7% |
Student > Master | 2 | 7% |
Other | 3 | 10% |
Unknown | 8 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 20% |
Agricultural and Biological Sciences | 5 | 17% |
Engineering | 3 | 10% |
Biochemistry, Genetics and Molecular Biology | 2 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
Other | 3 | 10% |
Unknown | 9 | 30% |