Conference Agenda

In the context of advancing biomarker discovery tools in oncology, particularly for lung cancer, we propose to explore the potential of natural abundance stable isotopes of metabolites using gas chromatography-combustion-isotope ratio mass spectrometry (GC-C-IRMS). In this work, we investigated a derivatization method that enables GC-C-IRMS analysis, allowing the detection of methyl esters of pentafluoropropionic derivatives for a broad range of amino acids in lung cancer biopsies. This novel method provides highly sensitive measurements of δ¹³C and δ¹⁵N, as well as amino acid concentrations, in lung cancer biopsies. We assessed the linearity, accuracy, precision, and detection limits of the method across several patient biopsies. The results demonstrated excellent analytical performance, confirming the method’s applicability to lung cancer samples. This approach enhances the potential of isotopic profiling in clinical research, offering innovative pathways for non-invasive cancer detection and ongoing monitoring.