Identification by MicroRNA Analysis of Environmental Risk Factors Bearing Pathogenic Relevance in Non-Smoker Lung Cancer.
Alberto IzzottiGabriela Coronel VargasAlessandra PullieroSimona CocoCristina ColarossiGiuseppina BlancoAntonella AgodiMartina BarchittaAndrea Maugerinull Ct-Me-En Cancer Registry WorkersGea Oliveri ContiMargherita FerranteSalvatore SciaccaPublished in: Journal of personalized medicine (2021)
MicroRNA and DNA adduct biomarkers may be used to identify the contribution of environmental pollution to some types of cancers. The aim of this study was to use integrated DNA adducts and microRNAs analyses to study retrospectively the contribution of exposures to environmental carcinogens to lung cancer in 64 non-smokers living in Sicily and Catania city near to the Etna volcano. MicroRNAs were extracted from cancer lung biopsies, and from the surrounding lung normal tissue. The expression of 2549 human microRNAs was analyzed by microarray. Benzo(a)Pyrene-DNA adducts levels were analyzed in the patients' blood by HPLC-fluorescence detection. Correlations between tetrols and environmental exposures were calculated using Pearson coefficients and regression variable plots. Compared with the healthy tissue, 273 microRNAs were downregulated in lung cancer. Tetrols levels were inversely related both with the distance from Etna and years since smoking cessation, but they were not significantly correlated to environmental exposures. The analysis of the microRNA environmental signatures indicates the contribution of environmental factors to the analyzed lung cancers in the following decreasing rank: (a) car traffic, (b) passive smoke, (c) radon, and (d) volcano ashes. These results provide evidence that microRNA analysis can be used to retrospectively investigate the contribution of environmental factors in human lung cancer occurring in non-smokers.
Keyphrases
- smoking cessation
- human health
- air pollution
- single molecule
- risk factors
- endothelial cells
- circulating tumor
- cell free
- newly diagnosed
- poor prognosis
- squamous cell carcinoma
- replacement therapy
- heavy metals
- gene expression
- climate change
- prognostic factors
- mass spectrometry
- dna methylation
- pluripotent stem cells
- drinking water
- high resolution
- label free
- data analysis
- sensitive detection
- loop mediated isothermal amplification