Abstract
Aim: We compared three statistical methods in selecting a panel of serum lipid biomarkers for mesothelioma and asbestos exposure. Materials & methods: Serum samples from mesothelioma, asbestos-exposed subjects and controls (40 per group) were analyzed. Three variable selection methods were considered: top-ranked predictors from univariate model, stepwise and least absolute shrinkage and selection operator. Crossed-validated area under the receiver operating characteristic curve was used to compare the prediction performance. Results: Lipids with high crossed-validated area under the curve were identified. Lipid with mass-to-charge ratio of 372.31 was selected by all three methods comparing mesothelioma versus control. Lipids with mass-to-charge ratio of 1464.80 and 329.21 were selected by two models for asbestos exposure versus control. Conclusion: Different methods selected a similar set of serum lipids. Combining candidate biomarkers can improve prediction.
| Original language | English |
|---|---|
| Pages (from-to) | 547-556 |
| Number of pages | 10 |
| Journal | Biomarkers in Medicine |
| Volume | 11 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2017 |
Keywords
- asbestos exposure
- biomarker
- LASSO
- mesothelioma
- PCA
- stepwise regression