Detecting the Presence and Progression of Premalignant Lung Lesions via Airway Gene Expression

• Published in: Clinical cancer research 2017-09, Vol.23 (17), p.5091-5100
• Main Authors: Beane, Jennifer, Mazzilli, Sarah A, Tassinari, Anna M, Liu, Gang, Zhang, Xiaohui, Liu, Hanqiao, Buncio, Anne Dy, Dhillon, Samjot S, Platero, Suso J, Lenburg, Marc E, Reid, Mary E, Lam, Stephen, Spira, Avrum E
• Format: Article
• Language: English
• Subjects: Adult; Aged; Bioenergetics; Biomarkers; Bronchi - metabolism; Bronchi - pathology; Cancer; Chemotherapy; Computer applications; Epithelial cells; Epithelial Cells - metabolism; Epithelial Cells - pathology; Experimental design; Female; Gene expression; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Gene set enrichment analysis; Genes; Humans; Invasiveness; Lesions; Lung cancer; Lung Neoplasms - chemically induced; Lung Neoplasms - classification; Lung Neoplasms - genetics; Lung Neoplasms - pathology; Male; Middle Aged; Mucosa; Neoplasm Proteins - genetics; Oxidative phosphorylation; Performance prediction; Phosphorylation; Precancerous Conditions - genetics; Precancerous Conditions - pathology; Regression analysis; Respiratory tract; Respiratory tract diseases; RNA, Messenger - genetics; Smoke; Smokers; Smoking; Smoking - genetics; Squamous cell carcinoma; Transcriptome - genetics
• ISSN: 1078-0432; 1557-3265
• DOI: 10.1158/1078-0432.ccr-16-2540

Lung cancer is the leading cause of cancer-related death in the United States. The molecular events preceding the onset of disease are poorly understood, and no effective tools exist to identify smokers with premalignant lesions (PMLs) that will progress to invasive cancer. Prior work identified molecular alterations in the smoke-exposed airway field of injury associated with lung cancer. Here, we focus on an earlier stage in the disease process leveraging the airway field of injury to study PMLs and its utility in lung cancer chemoprevention. Bronchial epithelial cells from normal appearing bronchial mucosa were profiled by mRNA-Seq from subjects with ( = 50) and without ( = 25) PMLs. Using surrogate variable and gene set enrichment analysis, we identified genes, pathways, and lung cancer-related gene sets differentially expressed between subjects with and without PMLs. A computational pipeline was developed to build and test a chemoprevention-relevant biomarker. We identified 280 genes in the airway field associated with the presence of PMLs. Among the upregulated genes, oxidative phosphorylation was strongly enriched, and IHC and bioenergetics studies confirmed pathway findings in PMLs. The relationship between PMLs and squamous cell carcinomas (SCC) was also confirmed using published lung cancer datasets. The biomarker performed well predicting the presence of PMLs (AUC = 0.92, = 17), and changes in the biomarker score associated with progression/stability versus regression of PMLs (AUC = 0.75, = 51). Transcriptomic alterations in the airway field of smokers with PMLs reflect metabolic and early lung SCC alterations and may be leveraged to stratify smokers at high risk for PML progression and monitor outcome in chemoprevention trials. .