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Class Prediction of Lung Nodule Gene Expression Profiles*

Kristin L. Walter, MD; Alain C. Borczuk, MD; Ligun Q. Wang, MS; Adel M. Assaad, MD; J.H.M. Austin, MD, FCCP; Gregory D. Pearson, PhD, MD; Maria C. Shiau, MD; Charles A. Powell, MD
Author and Funding Information

*From the Columbia University College of Physicians & Surgeons, New York, NY.

Correspondence to: Charles A. Powell, MD, Division of Pulmonary Allergy, and Critical Care Medicine, Columbia University, Rm P&S 8–512, 630 W 168th St, Box 91, New York, NY 10032; e-mail: cap6@columbia.edu



Chest. 2004;125(5_suppl):104S. doi:10.1378/chest.125.5_suppl.104S-a
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Extract

Gene expression profiling is a powerful tool that may improve the methods for risk stratification and treatment optimization in patients with lung cancer. Our long-term goal is to utilize gene expression profiling prospectively in the diagnosis and treatment planning for patients with lung carcinoma. To investigate the feasibility of this approach, we designed an experiment to examine the gene expression profiles of specimens obtained from CT scan-guided biopsy or endobronchial brushing of undiagnosed pulmonary nodules.

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