Urine metabolomics can discriminate between NSCLC or SCLC

<bold>Introduction:</bold> 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). <bold>Methods:</bold> 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. <bold>Results:</bold> 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. <bold>Conclusion:</bold> 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. <fig><object-id>erj;64/suppl_68/PA1538/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

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Publication Details

Journal
Lung Cancer
Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa1538
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
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article

Urine metabolomics can discriminate between NSCLC or SCLC

Tina Kramarić, Manfred Beckmann, Luis A. J. Mur, David Rooke et al.
Lung Cancer
Metabolomics and Mass Spectrometry Studies
article

Urine metabolomics can discriminate between NSCLC or SCLC

Tina Kramarić, Manfred Beckmann, Luis A. J. Mur, David Rooke, Keir Lewis, Andrine Vangberg
article en

Abstract

<bold>Introduction:</bold> 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). <bold>Methods:</bold> 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. <bold>Results:</bold> 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. <bold>Conclusion:</bold> 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. <fig><object-id>erj;64/suppl_68/PA1538/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

Lung Cancer
Aberystwyth University (GB), Horsham Hospital (GB), Prince Philip Hospital (GB)
Reduced inequalities
Openalex Percentile: Top 82%
Metabolomics and Mass Spectrometry Studies
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