Abstract
The use of molecular profiling techniques is quickly expanding, as this technology becomes more economical and evolves to allow the profiling of very small sample quantities. Common molecular profiling techniques include the analysis of DNA, RNA, and protein in tumors, blood, and other patient specimens. Identifying molecular differences between lung cancers will help guide clinicians in selecting the best therapy for patients. Molecular profiling (e.g. EGFR mutation, ALK fusions, and ROS1 mutation) has already become routine practice in the care of lung cancer patients, and we should expect the identification of many more targetable mutations in the next several years. Bioinformatics and high quality data analysis will be essential to understanding the datasets generated from these analyses and applying them clinically.
Original language | English (US) |
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Title of host publication | Lung Cancer |
Subtitle of host publication | Fourth Edition |
Publisher | Wiley-Blackwell |
Pages | 48-66 |
Number of pages | 19 |
ISBN (Electronic) | 9781118468791 |
ISBN (Print) | 9781118468746 |
DOIs | |
State | Published - May 27 2014 |
Keywords
- ALK
- Bioinformatics
- DNA
- EGFR
- Microarray
- Profiling
- Protein
- RNA
- Sequencing
- Statistics
ASJC Scopus subject areas
- General Medicine