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Human sweat metabolomics for lung cancer screening
Mónica Calderón-Santiago1, Feliciano Priego-Capote, Natacha Turck
1Department of Analytical Chemistry, Annex Marie Curie Building, Campus of Rabanales, University of Córdoba, 14071, Córdoba, Spain.
Analytical and Bioanalytical Chemistry
|May 4, 2015
Summary
Researchers developed a novel screening tool using sweat metabolite analysis to detect lung cancer. This method shows promise in distinguishing lung cancer patients from smokers, potentially improving early diagnosis.
Area of Science:
- Biochemistry
- Oncology
- Analytical Chemistry
Background:
- Sweat is an underutilized biofluid for biomarker discovery despite its medical applications.
- Lung cancer, a leading cause of cancer mortality, is often detected at advanced stages.
- Developing non-invasive screening tools for lung cancer is crucial for early detection and improved patient outcomes.
Purpose of the Study:
- To develop a screening tool for lung cancer detection using human sweat metabolite analysis.
- To differentiate between lung cancer patients and healthy smokers using sweat biomarkers.
- To evaluate the diagnostic performance of individual metabolites and metabolite panels.
Main Methods:
- Metabolite profiling of human sweat samples from lung cancer patients and control smokers.
- Statistical analysis to identify discriminatory metabolites between groups.
- Development and evaluation of metabolite panels using the PanelomiX tool.
- Validation of the analytical method through within-day and between-days variability assessment.
Main Results:
- A trisaccharide phosphate demonstrated the highest individual performance (80% specificity, 72.7% sensitivity).
- Two metabolite panels were created to optimize specificity and sensitivity.
- A combined panel of five metabolites (suberic acid, tetrahexose, trihexose, nonanedioic acid, and monoglyceride MG(22:2)) achieved 80% specificity and 79% sensitivity.
- This panel reduced false positive and negative rates by approximately 20%.
Conclusions:
- Sweat metabolite analysis offers a promising non-invasive approach for lung cancer screening.
- A specific panel of five metabolites can effectively discriminate between lung cancer patients and smokers.
- Further validation is warranted, but this method holds potential for early lung cancer detection.
