September 2015 Tucson pulmonary journal club: genomic classifier for lung cancer

Abstract

No abstract available. Article truncated at 150 words. Silvestri GA, Vachani A, Whitney D, et al. A bronchial genomic classifier for the diagnostic evaluation of lung cancer. N Engl J Med. 2015;373(3):243-51. Pulmonary lesions are a common diagnostic dilemma for clinicians. Current literature describes the sensitivity of bronchoscopic techniques to be between 34 and 88%; which varies significantly depending on size and location of the biopsied lesion (1). Previously described gene expression patterns have been found to be associated with malignancy in healthy epithelial cells of the proximal airways\(2). The primary aim of this study was to prospectively validate a specific gene expression classifier in patients undergoing bronchoscopic biopsy for suspected lung cancer. The study involved two independent, prospective, multicenter, observational studies (AEGIS-1 and AEGIS-2) conducted in the U.S., Canada and Ireland at 28 sites. Patients were excluded if they were never smokers, under age 21, or current cancer or former lung cancer patients. Patients were followed for ...

Keywords

• genomics
• classifier
• bronchoscopy
• lung cancer
• specificity
• sensitivity
• AEGIS-1
• AEGIS-2
• diagnosis
• clinical utility