Real-time breath metabolomics as catalyst for personalized lung cancer diagnostics: prospective matched case-control trial (LUCAbreath)
F. Schmidt, D. M. Baur, P. Baumgartner, J. Herth, K. Fricke, N.A. Sievi, K. Dev Singh, T. Gaisl, A. Huang, D. Franzen, S. Ulrich, P Sinues, M. Kohler
Abstract
Real-time breath metabolomics: a new frontier in personalized lung cancer diagnostics
Real-time breath analysis is emerging as a powerful, non-invasive strategy for lung cancer detection and metabolic phenotyping. In this prospective matched case-control study, SESI-HRMS enabled rapid breath profiling and identified distinct metabolic signatures that differentiated lung cancer patients from matched controls with promising accuracy. Beyond detection, the study revealed subtype-specific metabolic patterns, highlighting the potential of breath metabolomics to complement imaging and genomic profiling in a more personalized, multi-omics approach to lung cancer diagnosis and care.