Abstract
DNA expression profiling using microarray technology has been applied to studies on the molecular classification of lung cancers, pathogenetic alterations in gene expressions and cellular pathways, prediction of prognosis and metastasis, customized therapies, and drug development. Due to the wide variation in technical factors, different cohorts of patients and biological heterogeneity, the major hurdle to successful clinical application is lack of robustness, reliability and reproducibility of data. With better standardization and better analytic approaches to cut down the noises from the high dimensionality of data, microarray technologies may be ready to make its way to the doctor's office with contribution to personalized treatment of lung cancer in the future.
Original language | English |
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Pages (from-to) | 8-15 |
Journal | Chinese Journal of Lung Cancer |
Volume | 12 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2009 |
Research Keywords
- Biomarkers
- DNA expression profiling
- Epidermal growth factor receptor (EGFR) mutation
- Lung neoplasms
- Microarray
- Personalized medicine
- Smoking
Publisher's Copyright Statement
- This full text is made available under CC-BY 3.0. https://creativecommons.org/licenses/by/3.0/