Translational Lung Cancer Research · 2021 · 34 citations · 23 references
Life SciencesOncologyPharmacologyChemotherapyMass Spectrometric AnalysisProteomicsBiomarker ValidationCancer BiomarkersCancer ProteomicsClinical ProteomicsQuantitative ProteomicsTumor MarkersData-independent AcquisitionData-independent Acquisition AnalysisLung AdenocarcinomaParallel Reaction MonitoringPredictive BiomarkersSerum BiomarkersSerum Protein BiomarkersTumor Biomarker Discovery
BACKGROUND: Pemetrexed/platinum chemotherapy has been the standard chemotherapy regimen for lung adenocarcinoma patients, but the efficacy varies considerably. METHODS: To discover new serum biomarkers to predict the efficacy of pemetrexed/platinum chemotherapy, we analyzed 20 serum samples from advanced lung adenocarcinoma patients who received pemetrexed/platinum chemotherapy with the data-independent acquisition (DIA) quantitative mass spectrometry (MS). RESULTS: The 20 patients were categorized as "good response" [12 patients achieving partial response (PR)] and "poor response" [8 patients with progressive disease (PD)] groups. Altogether 23 significantly different expressed proteins were identified, which had relative ratios higher than 1.2 or lower than -0.83, with 7 proteins having an area under the curve (AUC) above 0.8. To further validate the DIA results, we used the parallel reaction monitoring (PRM) method to examine 16 candidate serum biomarkers in the study cohort of 20 patients and another cohort of 22 advanced lung adenocarcinoma patients (16 PR and 6 PD). Quantitative validation using PRM correlated well with the DIA results, and 10 promising proteins exhibited a similar up- or downregulation. It is worth noting that glutathione peroxidase 3 (GPX3) exhibits significant upregulation in the poor response group compared with the good response group, which was validated by both DIA and PRM methods. CONCLUSIONS: Our study confirmed that combined DIA MS and PRM approaches were effective in identifying serum predictive biomarkers for advanced lung adenocarcinoma patients. Further studies are needed to explore the potential biological mechanism underlying these biomarkers.
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Non-Small Cell Lung Cancer: Epidemiology, Risk Factors, Treatment, and Survivorship
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