作者: Jarushka Naidoo , Alexander Drilon
DOI:
关键词: Predictive biomarker 、 Bioinformatics 、 Molecular Diagnostic Testing 、 Gene 、 Non small cell 、 Identification (biology) 、 Targeted therapy 、 Lung cancer 、 Intensive care medicine 、 Medicine
摘要: Introduction Over the past decade, oncology community has witnessed a revolution in our understanding of biology lung cancer with identification significant proportion patients whose tumors harbor targetable molecular changes. these recurrent genomic alterations include mutations, gene rearrangements, and copy number changes relevant genes (Figure 1). A variety diagnostic assays can be used to identify abnormalities, which act as predictive biomarkers benefit from corresponding targeted therapy. this review summarizes current state knowledge regarding drivers cancer, available platforms diagnose alterations, factors affecting choice interpretation assays.