Using Cg05575921 methylation to predict lung cancer risk: a potentially bias-free precision epigenetics approach
| Autor: | Rob Philibert, Kelsey Dawes, Joanna Moody, Richard Hoffman, Jessica Sieren, Jeffrey Long |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Epigenetics, Vol 17, Iss 13, Pp 2096-2108 (2022) |
| Druh dokumentu: | article |
| ISSN: | 1559-2294 1559-2308 15592294 |
| DOI: | 10.1080/15592294.2022.2108082 |
| Popis: | The decision to engage in lung cancer screening (LCS) necessitates weighing benefits versus harms. Previously, clinicians in the United States have used the PLCOM2012 algorithm to guide LCS decision-making. However, that formula contains race and gender-based variables. Previously, using data from a European study, Bojesen and colleagues have suggested that cg05575921 methylation could guide decision-making. To test this hypothesis in a more diverse American population, we examined DNA and clinical data from 3081 subjects from the National Lung Screening Trial (NLST) study. Using survival analysis, we found a simple linear predictor consisting of age, pack-year consumption and cg05575921, to have the best predictive power among several alternatives (AUC = 0.66). Results showed that the highest quartile of risk was more than 2-fold more likely to develop lung cancer than those in the lowest quartile. Race, ethnicity, and gender had no effect on prediction with both cg05575921 and pack years contributing equally (both p |
| Databáze: | Directory of Open Access Journals |
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