BACKGROUND: Non-small cell lung cancer patients with epidermal growth factor receptor (EGFR) mutations have mixed responses to tyrosine kinase inhibitors (TKIs). Intertumor heterogeneity in EGFR mutations is one potential explanation for this phenomenon. METHODS: We performed direct sequencing to identify EGFR mutations in 180 pairs of lung adenocarcinoma samples (from 3,071 patients). The high-resolution melting method was used in discordant cases to confirm EGFR mutation status. Matching samples were divided into four groups: primary lesions detected at different times, primary tumors with matched metastatic lymph nodes, multiple pulmonary nodules, and primary tumors with matched distant metastases. Multivariate analyses were performed to evaluate correlations between heterogeneity and patient characteristics. RESULTS: In the study population, the discordance rate was 13.9% (25 of 180). The multiple pulmonary nodules group had the highest discordance rate of 24.4% (10 of 41; odds ratio for heterogeneity in primary lesions detected at different times, 6.37; 95% confidence interval, 1.71-23.72; p = .006). Discordance rates in the metachronous and synchronous settings were 15.7% (22 of 140) and 7.5% (three of 40), respectively. In the 34 patients who developed EGFR TKI resistance, 10 (29.4%) cases exhibited heterogeneity and five (14.7%) patients exhibited a mixed response to the drug. Three (8.8%) of the patients with a mixed response also exhibited discordant EGFR mutations. CONCLUSIONS: The overall discordance rate of EGFR mutation heterogeneity in Asian patients with pulmonary adenocarcinoma is relatively low, but the rate in patients with multiple pulmonary nodules is significantly higher. This observation may explain the mixed tumor response to EGFR TKIs.
BACKGROUND:Non-small cell lung cancerpatients with epidermal growth factor receptor (EGFR) mutations have mixed responses to tyrosine kinase inhibitors (TKIs). Intertumor heterogeneity in EGFR mutations is one potential explanation for this phenomenon. METHODS: We performed direct sequencing to identify EGFR mutations in 180 pairs of lung adenocarcinoma samples (from 3,071 patients). The high-resolution melting method was used in discordant cases to confirm EGFR mutation status. Matching samples were divided into four groups: primary lesions detected at different times, primary tumors with matched metastatic lymph nodes, multiple pulmonary nodules, and primary tumors with matched distant metastases. Multivariate analyses were performed to evaluate correlations between heterogeneity and patient characteristics. RESULTS: In the study population, the discordance rate was 13.9% (25 of 180). The multiple pulmonary nodules group had the highest discordance rate of 24.4% (10 of 41; odds ratio for heterogeneity in primary lesions detected at different times, 6.37; 95% confidence interval, 1.71-23.72; p = .006). Discordance rates in the metachronous and synchronous settings were 15.7% (22 of 140) and 7.5% (three of 40), respectively. In the 34 patients who developed EGFR TKI resistance, 10 (29.4%) cases exhibited heterogeneity and five (14.7%) patients exhibited a mixed response to the drug. Three (8.8%) of the patients with a mixed response also exhibited discordant EGFR mutations. CONCLUSIONS: The overall discordance rate of EGFR mutation heterogeneity in Asian patients with pulmonary adenocarcinoma is relatively low, but the rate in patients with multiple pulmonary nodules is significantly higher. This observation may explain the mixed tumor response to EGFR TKIs.
Authors: Lecia V Sequist; Renato G Martins; David Spigel; Steven M Grunberg; Alexander Spira; Pasi A Jänne; Victoria A Joshi; David McCollum; Tracey L Evans; Alona Muzikansky; Georgiana L Kuhlmann; Moon Han; Jonathan S Goldberg; Jeffrey Settleman; A John Iafrate; Jeffrey A Engelman; Daniel A Haber; Bruce E Johnson; Thomas J Lynch Journal: J Clin Oncol Date: 2008-05-05 Impact factor: 44.544
Authors: Xiaoyan Wang; Mingsheng Wang; Gregory T MacLennan; Fadi W Abdul-Karim; John N Eble; Timothy D Jones; Felix Olobatuyi; Rosana Eisenberg; Oscar W Cummings; Shaobo Zhang; Antonio Lopez-Beltran; Rodolfo Montironi; Suqin Zheng; Haiqun Lin; Darrell D Davidson; Liang Cheng Journal: J Natl Cancer Inst Date: 2009-04-07 Impact factor: 13.506
Authors: A Kalikaki; A Koutsopoulos; M Trypaki; J Souglakos; E Stathopoulos; V Georgoulias; D Mavroudis; A Voutsina Journal: Br J Cancer Date: 2008-09-16 Impact factor: 7.640
Authors: Li-Hui Tseng; Federico De Marchi; Aparna Pallavajjalla; Erika Rodriguez; Rena Xian; Deborah Belchis; Christopher D Gocke; James R Eshleman; Peter Illei; Ming-Tseh Lin Journal: Am J Clin Pathol Date: 2019-10-07 Impact factor: 2.493