Circulating MicroRNAs as Non-Invasive Biomarkers for Early Detection of Non-Small-Cell Lung Cancer |
| |
| Authors: | Magdalena B. Wozniak Ghislaine Scelo David C. Muller Anush Mukeria David Zaridze Paul Brennan |
| |
| Affiliation: | 1Genetic Epidemiology Group, International Agency for Research on Cancer (WHO-IARC), Lyon, France;2Institute of Carcinogenesis, N. N. Blokhin Cancer Research Centre, Moscow, Russia;Deutsches Krebsforschungszentrum, GERMANY |
| |
| Abstract: | BackgroundDetection of lung cancer at an early stage by sensitive screening tests could be an important strategy to improving prognosis. Our objective was to identify a panel of circulating microRNAs in plasma that will contribute to early detection of lung cancer.ResultsWe identified a panel of 24 microRNAs with optimum classification performance. The combination of these 24 microRNAs alone could discriminate lung cancer cases from non-cancer controls with an AUC of 0.92 (95% CI: 0.87-0.95). This classification improved to an AUC of 0.94 (95% CI: 0.90-0.97) following addition of sex, age and smoking status to the model. Internal validation of the model suggests that the discriminatory power of the panel will be high when applied to independent samples with a corrected AUC of 0.78 for the 24-miRNA panel alone.ConclusionOur 24-microRNA predictor improves lung cancer prediction beyond that of known risk factors. |
| |
| Keywords: | |
|
|
