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The mechanisms for lung cancer risk of PM2.5: Induction of epithelial‐mesenchymal transition and cancer stem cell properties in human non‐small cell lung cancer cells
Authors:Hongying Wei  Fan Liang  Wei Cheng  Ren Zhou  Xiaomeng Wu  Yan Feng  Yan Wang
Affiliation:1. The Ninth People Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai, China;2. School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China;3. MOE‐Shanghai Key Laboratory of Children's Environmental Health, Shanghai, China
Abstract:Fine particulate matter (PM2.5) is a major component of air pollutions that are closely associated with increased risk of lung cancer. However, the role of PM2.5 in the etiology of lung cancer is largely unknown. In this study, we performed acute (24 hours) and chronic (five passages) exposure models to investigate the carcinogenetic mechanisms of PM2.5 by targeting the induction of epithelial‐mesenchymal transition (EMT) and cancer stem cells (CSC) properties in human non‐small cell lung cancer cell line A549. We found that both acute and chronic PM2.5 exposure enhanced cell migration and invasion, decreased mRNA expression of epithelial markers and increased mRNA expression of mesenchymal markers. Chronic PM2.5 exposure further induced notable EMT morphology and CSC properties, indicating the developing process of cell malignant behaviors from acute to chronic PM2.5 exposure. CSC properties induced by chronic PM2.5 exposure characterized with increased cell‐surface markers (CD44, ABCG2), self‐renewal genes (SOX2 and OCT4), side population cells and neoplastic capacity. Furthermore, the levels of three stemness‐associated microRNAs, Let‐7a, miR‐16 and miR‐34a, were found to be significantly downregulated by chronic PM2.5 exposure, with microarray data analysis from TCGA database showing their lower expression in human lung adenocarcinoma tissues than that in the adjacent normal lung tissues. These data revealed that the induction of EMT and CSC properties were involved in the lung cancer risk of PM2.5, and implicated CSC properties and related microRNAs as possible biomarkers for carcinogenicity prediction of PM2.5.
Keywords:cancer stem cells  epithelial‐mesenchymal transition  fine particulate matter  lung cancer  MicroRNAs
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