In clinical practice, there are currently no validated biomarkers that can, prior to treatment, reliably indicate the intrinsically sensitive or resistant features of a non-squamous NSCLC patient to pemetrexed plus platinum doublet chemotherapy. In this study, we investigated the metabolic characteristics of a large cohort of pre-chemotherapeutic serum samples (354 cases) and found tight associations between small metabolite subsets and the responses of patients to this cytotoxic drug combination. We developed an effective discriminant model employing a seven-metabolite panel (Hypotaurine, Uridine, Dodecanoylcarnitine, Choline, Dimethylglycine, Niacinamide, L-palmitoylcarnitine) that can predict the efficacy of this chemotherapeutic regimens, prior to treatment, with a sensitivity of 90.8% and specificity of 79.5%. We also identified three one-carbon metabolism-involved metabolites including choline, betaine and DMG that are potentially associated with drug resistance to pemetrexed. This serum-based biomarker study can be easily applied in clinical practice and personalize treatment decisions.
Conclusion:This study developed an effective and convenient discriminant model that can accurately predict the efficacy and survival outcomes of pemetrexed plus platinum doublet chemotherapy prior to treatment delivery.