Clinical Impact of High-Throughput Gene Expression Studies in Lung Cancer

被引:18
|
作者
Beane, Jennifer [1 ,2 ]
Spira, Avrum [2 ]
Lenburg, Marc E. [2 ,3 ]
机构
[1] Boston Univ, Sch Med, Boston Med Ctr, Ctr Pulm, Boston, MA 02118 USA
[2] Boston Univ, Sch Engn, Bioinformat Program, Boston, MA 02118 USA
[3] Boston Univ, Sch Med, Dept Pathol & Lab Med, Boston, MA 02118 USA
关键词
Lung cancer; Gene expression; Microarrays; RETRACTED ARTICLE. SEE; LYMPH-NODE METASTASIS; SMALL-CELL; AIRWAY EPITHELIUM; SERIAL ANALYSIS; SQUAMOUS-CELL; MOLECULAR CLASSIFICATION; BRONCHIAL EPITHELIUM; PREDICT SURVIVAL; CIGARETTE-SMOKE;
D O I
10.1097/JTO.0b013e31819151f8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Lung cancer is the leading cause of cancer death in the United States and the world. The high mortality rate results, in part, from the lack of effective tools for early detection and the inability to identify subsets of patients who would benefit from adjuvant chemotherapy or targeted therapies. The development of high-throughput genome-wide technologies for measuring gene expression, such as microarrays, have the potential to impact the mortality rate of lung cancer patients by improving diagnosis, prognosis, and treatment. This review will highlight recent studies using high-throughput gene expression technologies that have led to clinically relevant insights into lung cancer. The hope is that diagnostic and prognostic biomarkers that have been developed as part of this work will soon be ready for wide-spread clinical application and will have a dramatic impact oil the evaluation of patients with suspect lung cancer, leading to effective personalized treatment regimens.
引用
收藏
页码:109 / 118
页数:10
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