
doi: 10.1002/hed.24626
pmid: 27880014
AbstractBackgroundDespite improved survival by the addition of a monoclonal antibody against epidermal growth factor receptor (EGFR), cetuximab, to chemotherapy or radiotherapy for squamous cell carcinoma of the head and neck (SCCHN), cetuximab by itself is not a potent antiproliferative agent against SCCHN. We aimed to elucidate working mechanism of cetuximab in SCCHN.MethodsThe effect of cetuximab on the proliferation, migration, invasion, epithelial‐mesenchymal transition, and signaling events downstream of the EGFR were investigated in 4 SCCHN cell lines. The in vivo efficacy of cetuximab was evaluated in a xenotransplant model.ResultsCetuximab inhibited migration, invasion, epithelial‐mesenchymal transition, and lymph node metastasis by suppressing EGFR‐GEP100‐Arf6‐AMAP1 pathway, but it did not inhibit cancer cell proliferation.ConclusionThe improved survival by the addition of cetuximab is likely to be attributable to the antiepithelial‐mesenchymal transition action of cetuximab via inhibiting EGFR‐GEP100‐Arf6‐AMAP1 pathway. © 2016 Wiley Periodicals, Inc. Head Neck 39: 476–485, 2017
Mice, Inbred BALB C, Epithelial-Mesenchymal Transition, ADP-Ribosylation Factors, Blotting, Western, Cetuximab, Mice, Nude, Antibodies, Monoclonal, Humanized, ErbB Receptors, Disease Models, Animal, Mice, ADP-Ribosylation Factor 6, Cell Movement, Head and Neck Neoplasms, Cell Line, Tumor, Carcinoma, Squamous Cell, Animals, Humans, Female, Adaptor Proteins, Signal Transducing, Cell Proliferation
Mice, Inbred BALB C, Epithelial-Mesenchymal Transition, ADP-Ribosylation Factors, Blotting, Western, Cetuximab, Mice, Nude, Antibodies, Monoclonal, Humanized, ErbB Receptors, Disease Models, Animal, Mice, ADP-Ribosylation Factor 6, Cell Movement, Head and Neck Neoplasms, Cell Line, Tumor, Carcinoma, Squamous Cell, Animals, Humans, Female, Adaptor Proteins, Signal Transducing, Cell Proliferation
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
