作者: Kian Kani , Rafaella Sordella , Parag Mallick
DOI: 10.1007/978-1-61779-337-0_16
关键词: Drug resistance 、 Transcriptome 、 Cancer 、 Lung cancer 、 Epidermal growth factor 、 Gefitinib 、 Bioinformatics 、 CDNA Microarrays 、 Gene expression profiling 、 Biology
摘要: Clinical tools to accurately describe, evaluate, and predict an individual's response cancer therapy are a field-wide priority; in many advanced cancers, only 10-20% of individuals will have clinical benefit from therapy, yet we treat the entire population. Furthermore, therapies initially effective, but lose effectiveness over time. Here describe methods derive vitro models resistance EGFR tyrosine kinase inhibitors. We additionally approaches characterize possible mechanisms by genomic transcriptomic approaches.