Crynodeb
Introduction: Metabolomics has the potential to aid in the typing of lung cancer (LC) which, when applied to urine, could be a non-invasive method that could improve clinical decision-making. We assessed if urine metabolomics could identify potential biomarkers that could be linked to non-small cell LC (NSCLC) and small cell LC (SCLC).
Methods: 106 samples (NSCLC=97; SCLC=9) were analysed using flow infusion electrospray ion mass spectrometry (FIE-MS). The derived data were assessed by partial least squares discriminant analysis (PLS-DA) and the receiver operating characteristic (ROC) curve tests in R.
Results: PLS-DA of the urine metabolomes showed the separation of NSCLC and SCLC (Figure 1A). Key metabolite differences included a steroid, a vitamin D derivative, and lipids with > 0.8 AUC values (Figure 1B). These metabolite classes have already been linked to oncogenesis.
Conclusion: Our study shows that a urine-based test has the potential to aid in NSCLC vs SCLC typing of lung cancer as a novel diagnostic method.
Methods: 106 samples (NSCLC=97; SCLC=9) were analysed using flow infusion electrospray ion mass spectrometry (FIE-MS). The derived data were assessed by partial least squares discriminant analysis (PLS-DA) and the receiver operating characteristic (ROC) curve tests in R.
Results: PLS-DA of the urine metabolomes showed the separation of NSCLC and SCLC (Figure 1A). Key metabolite differences included a steroid, a vitamin D derivative, and lipids with > 0.8 AUC values (Figure 1B). These metabolite classes have already been linked to oncogenesis.
Conclusion: Our study shows that a urine-based test has the potential to aid in NSCLC vs SCLC typing of lung cancer as a novel diagnostic method.
Iaith wreiddiol | Saesneg |
---|---|
Rhif yr erthygl | PA1538 |
Cyfnodolyn | European Respiratory Journal |
Cyfrol | 64 |
Rhif cyhoeddi | S68 |
Dynodwyr Gwrthrych Digidol (DOIs) | |
Statws | Cyhoeddwyd - 30 Hyd 2024 |