Dramatic responses to epidermal growth factor receptor (EGFR) tyrosine kinase (TK) inhibitors may be seen in non-small cell lung cancers (NSCLCs) with a sensitizing mutation of the EGFR TK domain. It is not known how to predict response in patients with squamous cell carcinoma of the head and neck (SCCHN), where EGFR TK mutations are less frequent and where response rates in unselected patients are disappointing. We have characterized the intrinsic sensitivity of a panel of 18 SCCHN cell lines to gefitinib, an EGFR TK inhibitor, and have investigated correlations between putative markers of response and intrinsic sensitivity. Induction of G1 arrest was only seen in cell lines with GI(50) < 1 microM. Expression of EGFR, by three techniques, correlated with sensitivity to gefitinib. ERB-B2 expression appeared to influence sensitivity to gefitinib but ERB-B3 expression did not. While EGFR tyrosine kinase mutations were not detected, EGFR gene amplification was confirmed by fluorescence in situ hybridization in the most sensitive cell line. The number of cytosine adenine dinucleotide repeats in intron 1 of the EGFR gene did not correlate with sensitivity. E-cadherin expression was detected in cell lines with a range of sensitivities, whereas amphiregulin was secreted predominantly by sensitive cell lines. MET expression was an independent predictor of sensitivity to gefitinib, although neither expression nor phosphorylation of insulin-like growth factor 1 receptor correlated with intrinsic resistance. Breast receptor kinase (BRK) was more highly expressed in the sensitive cell lines, but siRNA knockdown of neither BRK nor MET affected sensitivity. Our data suggest that overexpression of EGFR and multiple related cell surface receptors may be associated with sensitivity to gefitinib and that differences between our data and the literature highlight that biomarkers of response are tumour type- and cell line-dependent.

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乐备实是国内专注于提供高质量蛋白检测以及组学分析服务的实验服务专家，自2018年成立以来，乐备实不断寻求突破，公司的服务技术平台已扩展到单细胞测序、空间多组学、流式检测、超敏电化学发光、Luminex多因子检测、抗体芯片、PCR Array、ELISA、Elispot、PLA蛋白互作、多色免疫组化、DSP空间多组学等30多个，建立起了一套涵盖基因、蛋白、细胞以及组织水平实验的完整检测体系。

 
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