作者: Zhiyong Liang , Ying Cheng , Yuan Chen , Yanping Hu , Wei-Ping Liu
DOI: 10.1016/J.CANLET.2017.06.008
关键词: Mutation (genetic algorithm) 、 Tyrosine-kinase inhibitor 、 Precision medicine 、 Germline mutation 、 Internal medicine 、 Tyrosine kinase 、 T790M 、 Oncology 、 Bioinformatics 、 Genetic testing 、 Epidermal growth factor receptor 、 Medicine
摘要: Somatic mutation in the epidermal growth factor receptor (EGFR) predict clinical response to EGFR tyrosine kinase inhibitors non-small cell lung cancer (NSCLC) and is a promising target for personalised medicine. mutations have prognostic value. Initially patients respond well but finally they would develop resistance about 50% of this can be attributed emergence resistant mutation, T790M. This necessitates need genetic testing management patients. Molecular has become standard care with NSCLCs based on recommendations guidelines. Though there are several platforms detection, highly sensitive applicability as companion diagnostics ctDNA emerging. Due dynamic changes T790M during inhibitor (TKI) treatment, real-time monitoring these alterations mandate planning treatment strategies. With advent third generation TKIs that potentially T790M, improvement outcome documented NSCLCs. Managing outcomes appropriate using early detection will improve patient care.