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Journal article
Comparison of statistical methods for detection of serum lipid biomarkers for mesothelioma and asbestos exposure
Biomarkers in medicine, v 11(7), pp 547-556
01 Jul 2017
PMID: 28534416
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Comparison of statistical methods for detection of serum lipid biomarkers for mesothelioma and asbestos exposure
- Creators
- Rengyi Xu - University of PennsylvaniaClementina Mesaros - University of PennsylvaniaLiwei Weng - University of PennsylvaniaNathaniel W. Snyder - Drexel UniversityAnil Vachani - University of PennsylvaniaIan A. Blair - University of PennsylvaniaWei-Ting Hwang - University of Pennsylvania
- Publication Details
- Biomarkers in medicine, v 11(7), pp 547-556
- Publisher
- Future Medicine Ltd
- Number of pages
- 10
- Grant note
- P30CA016520 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) P30ES013508 / NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Environmental Health Sciences (NIEHS) P42ES023720; P30ES013508; K22ES026235; R03CA211820 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- A.J. Drexel Autism Institute
- Web of Science ID
- WOS:000411224200007
- Scopus ID
- 2-s2.0-85024378345
- Other Identifier
- 991019167954504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Medicine, Research & Experimental