Somatic mutation and clonal evolution in premalignant lung disease
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ABSTRACT:
PROVIDER: EGAS00001002340 | EGA |
REPOSITORIES: EGA
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Project description:In this study we aim to characterise the landscape of mutation and clonal selection in normal lung and premalignant lung disease. The study combines targeted sequencing and whole-genome sequencing of microbiopsies of lung and bronchial epithelium. The range of patients studied will include healthy individuals, both smokers and non-smokers, and patients with premalignant lung disease. .
This dataset contains all the data available for this study on 2023-03-09.
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Project description:Smoking is the leading cause of lung cancer death, although only a small percentage of smokers develop the disease. Cigarette smoke exposure is known to cause a field of injury in cells throughout the respiratory tract, and while these airway epithelial cells are morphologically normal, they can undergo genetic alterations in response to cigarette smoke exposure. We used microarrays to analyze the gene expression of epithelial cells in the extrathoracic epithelium, specifically nasal and buccal epithelium, to see if these cells underwent similar genetic alterations in response to tobacco exposure as seen in bronchial epithelial cells as has been previously reported. Experiment Overall Design: Buccal and nasal epithelial cell samples were collected from healthy current and never smokers. RNA was isolated from these samples and hybridized to Affymetrix microarrays. Gene expression from never smokers was compared to never smoker gene expression from bronchial epithelium as well as expression data from other tissues to determine commonalities in expression patterns in normal extra- and intra-thoracic samples. In addition, gene expression from smokers and nonsmokers was compared in bronchial, nasal, and buccal epithelium to determine similarities in gene expression in these tissues in response to cigarette smoker exposure.
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Project description:Cigarette smoking is the main risk factor for the development of squamous cell lung carcinoma (SCC). However, the smoking-related molecular changes in SCC have not been studied. We wanted to identify genes in both histologically normal bronchial epithelium and SCC samples that are differentially expressed between current and ex-smokers. In addition, to analyze the levels of the smoking-related genes identified in normal bronchial epithelium with the levels in SCC. Gene expression profiles were generated using Agilent whole human genome microarrays in 28 laser microdissected normal bronchus epithelial samples and in 35 laser microdissected SCC samples of current and ex-smokers. Levels of 246 genes, mainly related to oxidative stress response, were significantly different between normal bronchial epithelium of current and ex-smokers. No significant differences were associated with the smoking status in SCC samples. Analysis of the 246 smoking specific genes in SSC from current and ex-smokers also revealed no differences. As a next step, we compared the levels of the smoking-specific gene signature between normal bronchial epithelium from ex- and current smokers to all 34 SCC samples. Twenty-two percent of the upregulated genes are further upregulated in SCC as compared to current smokers. Expression of the downregulated genes was even further downregulated for 79% of the genes in SCC as compared to bronchus epithelium of current smokers. The downregulated genes included several tumour suppressor genes. This study shows that genes upregulated in normal bronchial epithelium of current smokers are expressed at similar levels in SCC samples, while levels of downregulated genes were significantly further reduced in SCC. This indicates that these downregulated genes play a role in SCC oncogenesis.
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Project description: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 epithelium gene expression is similarly altered by cigarette smoke exposure, we sought to determine if cancer-associated gene expression might also be detectable in more readily accessible nasal epithelium. Nasal epithelial brushings were prospectively collected from current and former smokers with 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. Using the 375 AEGIS 1 samples, we identified 535 genes that were differentially expressed in the nasal epithelium of patients who were ultimately diagnosed with lung cancer vs. those with benign disease after one year of follow-up (p<0.001). Using bronchial gene expression data from 299 AEGIS-1 patients (including 157 patients with matched nasal and bronchial expression data), we found significantly concordant cancer-associated gene expression differences between the two airway sites (p<0.001). Differentially expressed genes were enriched for genes associated with the regulation of apoptosis, mitotic cell cycle, and immune system signaling. A nasal lung cancer classifier derived in the AEGIS-1 cohort that combined clinical factors and nasal gene expression had significantly higher AUC (0.80) and sensitivity (0.94) over a clinical-factor only model (p<0.05) in independent samples from the AEGIS-2 cohort (n=130). These results suggest that the airway epithelial field of lung cancer-associated injury in current and former smokers extends to the nose and demonstrates the potential of using nasal gene expression as a non-invasive biomarker for the detection of lung cancer.
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