Prediction of clinical outcomes using the pyrolysis, gas chromatography, and differential mobility spectrometry (Py-GC-DMS) system

•Role of pyrolysis, gas chromatography, and differential mobility spectrometry system for human diseases was explored.•Using Mantle cell lymphoma as a conceptual model, ionized spectral signals were generated via this system The signal data upon processing with multivariable algorithm to predicted the outcome of the disease with 90% accuracy.•Py-GS-DMS technology provides an independent strategy to enhancing clinical decision-making towards treatment of the diseases.