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Not an EDRN Protocol

Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer.

1008
Spira, AvrumBoston University School of Medicine

No involved investigator sites defined.

Lung cancer is the leading cause of death from cancer in the US and the world. The high mortality rate (80-85% within 5 years) results, in part, from a lack of effective tools to diagnose the disease at an early stage. Given that cigarette smoke creates a field of injury throughout the airway, we sought to determine if gene expression in histologically normal large-airway epithelial cells obtained at bronchoscopy from smokers with suspicion of lung cancer could be used as a lung cancer biomarker. Using a training set (n = 77) and gene-expression profiles from Affymetrix HG-U133A microarrays, we identified an 80-gene biomarker that distinguishes smokers with and without lung cancer. We tested the biomarker on an independent test set (n = 52), with an accuracy of 83% (80% sensitive, 84% specific), and on an additional validation set independently obtained from five medical centers (n = 35). Our biomarker had approximately 90% sensitivity for stage 1 cancer across all subjects. Combining cytopathology of lower airway cells obtained at bronchoscopy with the biomarker yielded 95% sensitivity and a 95% negative predictive value. These findings indicate that gene expression in cytologically normal large-airway epithelial cells can serve as a lung cancer biomarker, potentially owing to a cancer-specific airway-wide response to cigarette smoke.

There are currently no biomarkers annotated for this protocol.

No datasets are currently associated with this protocol.


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The final report of the 2013 Cancer Biomarkers Bioinformatics Workshop is now available.

Announcement 06/26/2014


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Funding Opportunity Available

Both RFAs for Molecular and Cellular Characterization of Screen-Detected Lesions have been published.

RFA-CA-14-010.html

and

RFA-CA-14-011.html