Epidermal Growth Factor Receptor in Non–Small-Cell Lung Carcinomas: Correlation Between Gene Copy Number and Protein Expression and Impact on Prognosis

多倍体 表皮生长因子受体 荧光原位杂交 医学 基因复制 癌症研究 肺癌 吉非替尼 基因剂量 生物 拷贝数变化 病理 基因 免疫组织化学 内科学 基因表达 染色体 癌症 遗传学 基因组
作者
Fred R. Hirsch,Marileila Varella‐Garcia,Paul A. Bunn,Michael V. Di Maria,Robert Veve,Roy M. Bremnes,Anna E. Barón,Chan Zeng,Wilbur A. Franklin
出处
期刊:Journal of Clinical Oncology [Lippincott Williams & Wilkins]
卷期号:21 (20): 3798-3807 被引量:1423
标识
DOI:10.1200/jco.2003.11.069
摘要

Purpose: The epidermal growth factor receptor (EGFR) is frequently overexpressed in non–small-cell lung carcinoma (NSCLC), and EGFR inhibitors are promising new therapeutic agents. The molecular mechanisms responsible for EGFR overexpression are poorly understood. Materials and Methods: Gene copy number and protein status of EGFR were investigated in microarrayed tumors from 183 NSCLC patients, including squamous cell carcinoma (SCC; 89 patients) and non-SCC (94 patients) histologies. Protein expression was assessed by immunohistochemistry on a scale from 0 to 400 (percentage of positive cells × staining intensity). Gene and chromosome 7 copy numbers were identified by fluorescent in situ hybridization (FISH). Results: EGFR protein overexpression was observed in 62% of the NSCLC (25% scored 201 to 300; 37% scored 301 to 400), more frequently in SCC than non-SCC (82% v 44%; P < .001), and in 80% of the bronchioloalveolar carcinomas. The prevalent FISH patterns were balanced disomy (40%) and trisomy (38%) for EGFR gene and chromosome 7 (40%), whereas balanced polysomy was seen in 13% and gene amplification was seen in 9% of the patients. Gene copy number correlated with protein expression (r = 0.4; P < .001). EGFR overexpression or high gene copy numbers had no significant influence on prognosis. Conclusion: EGFR overexpression is frequent in NSCLC, is most prominent in SCC, and correlates with increased gene copy number per cell. High gene copy numbers per cell showed a trend toward poor prognosis. It will be important to evaluate EGFR gene and EGFR protein status and signal protein expression to properly interpret future clinical trials using EGFR inhibitors.
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