TY - JOUR
T1 - Shared Gene Expression Alterations in Nasal and Bronchial Epithelium for Lung Cancer Detection
AU - AEGIS Study Team
AU - Perez-Rogers, Joseph F.
AU - Gerrein, Joseph
AU - Anderlind, Christina
AU - Liu, Gang
AU - Zhang, Sherry
AU - Alekseyev, Yuriy
AU - Smith, Kate Porta
AU - Whitney, Duncan
AU - Johnson, W. Evan
AU - Elashoff, David A.
AU - Dubinett, Steven M.
AU - Brody, Jerome
AU - Spira, Avrum
AU - Lenburg, Marc E.
AU - Ernst, Armin
AU - Michaud, Gaetane
AU - Majid, Adnan
AU - Gangadharan, Sidharta Pena
AU - Sosa, Andres
AU - Myers, Renelle
AU - Kent, Michael
AU - DeCamp, Malcolm
AU - Nataraj, Dilip
AU - Rafeq, Samaan
AU - Berkowitz, David
AU - Alazemi, Saleh
AU - Garland, Robert
AU - Coordinators, Study
AU - Dea, Arthur
AU - Mulkern, Paula
AU - Carbone, Christina
AU - Gildea, Tom
AU - Almeida, Francisco
AU - Cicenia, Joseph
AU - Machuzak, Mike
AU - Seeley, Meredith
AU - Powell, Charles
AU - Bulman, William
AU - Sonett, Joshua
AU - Toonkel, Rebecca
AU - Sungur-Stasik, Kivilcim
AU - Simon, Stuart
AU - Case, Chad
AU - Gluzman, Alexander
AU - Hartley, Charles
AU - Harris, Steven
AU - Iatridis, Aristidis
AU - Jackson, Jermaine
AU - Lassiter, C. Coy
AU - Lock, Brion
N1 - Publisher Copyright:
© The Author 2017. Published by Oxford University Press. All rights reserved.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Background: We previously derived and validated a bronchial epithelial gene expression biomarker to detect lung cancer in current and former smokers. Given that bronchial and nasal epithelial gene expression are similarly altered by cigarette smoke exposure, we sought to determine if cancer-associated gene expression might also be detectable in the more readily accessible nasal epithelium. Methods: Nasal epithelial brushings were prospectively collected from current and former smokers undergoing diagnostic evaluation for pulmonary lesions suspicious for lung cancer in the AEGIS-1 (n = 375) and AEGIS-2 (n = 130) clinical trials and gene expression profiled using microarrays. All statistical tests were two-sided. Results: We identified 535 genes that were differentially expressed in the nasal epithelium of AEGIS-1 patients diagnosed with lung cancer vs those with benign disease after one year of follow-up (P < .001). Using bronchial gene expression data from the AEGIS-1 patients, we found statistically significant concordant cancer-associated gene expression alterations between the two airway sites (P < .001). Differentially expressed genes in the nose were enriched for genes associated with the regulation of apoptosis and immune system signaling. A nasal lung cancer classifier derived in the AEGIS-1 cohort that combined clinical factors (age, smoking status, time since quit, mass size) and nasal gene expression (30 genes) had statistically significantly higher area under the curve (0.81; 95% confidence interval [CI] = 0.74 to 0.89, P = .01) and sensitivity (0.91; 95% CI = 0.81 to 0.97, P = .03) than a clinical-factor only model in independent samples from the AEGIS-2 cohort. Conclusions: These results support that the airway epithelial field of lung cancer–associated injury in ever smokers extends to the nose and demonstrates the potential of using nasal gene expression as a noninvasive biomarker for lung cancer detection.
AB - Background: We previously derived and validated a bronchial epithelial gene expression biomarker to detect lung cancer in current and former smokers. Given that bronchial and nasal epithelial gene expression are similarly altered by cigarette smoke exposure, we sought to determine if cancer-associated gene expression might also be detectable in the more readily accessible nasal epithelium. Methods: Nasal epithelial brushings were prospectively collected from current and former smokers undergoing diagnostic evaluation for pulmonary lesions suspicious for lung cancer in the AEGIS-1 (n = 375) and AEGIS-2 (n = 130) clinical trials and gene expression profiled using microarrays. All statistical tests were two-sided. Results: We identified 535 genes that were differentially expressed in the nasal epithelium of AEGIS-1 patients diagnosed with lung cancer vs those with benign disease after one year of follow-up (P < .001). Using bronchial gene expression data from the AEGIS-1 patients, we found statistically significant concordant cancer-associated gene expression alterations between the two airway sites (P < .001). Differentially expressed genes in the nose were enriched for genes associated with the regulation of apoptosis and immune system signaling. A nasal lung cancer classifier derived in the AEGIS-1 cohort that combined clinical factors (age, smoking status, time since quit, mass size) and nasal gene expression (30 genes) had statistically significantly higher area under the curve (0.81; 95% confidence interval [CI] = 0.74 to 0.89, P = .01) and sensitivity (0.91; 95% CI = 0.81 to 0.97, P = .03) than a clinical-factor only model in independent samples from the AEGIS-2 cohort. Conclusions: These results support that the airway epithelial field of lung cancer–associated injury in ever smokers extends to the nose and demonstrates the potential of using nasal gene expression as a noninvasive biomarker for lung cancer detection.
UR - http://www.scopus.com/inward/record.url?scp=85131047523&partnerID=8YFLogxK
U2 - 10.1093/jnci/djw327
DO - 10.1093/jnci/djw327
M3 - Article
C2 - 28376173
AN - SCOPUS:85131047523
SN - 0027-8874
VL - 109
JO - Journal of the National Cancer Institute
JF - Journal of the National Cancer Institute
IS - 7
M1 - djw327
ER -