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Data mining-based lung cancer diagnostic models and high-risk warning for occupational group
Abstract Screening is the key to improving the five-year survival rate of lung cancer patients. We aimed to investigate the risk factors for lung cancer and to achieve screening and early warning of individuals at high risk of lung cancer in the coke oven worker population. According to the inclusion and exclusion criteria, 185 lung cancer patients and 163 normal controls were included. To screen for biomarkers, we established a mouse lung cancer model and a cellular malignant transformation model.
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