Circulating glycosylation-based novel biomarkers for lung cancer diagnosis
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Lung cancer is globally the 2nd most common cancer in both men and women. Due to its lack of symptoms during early stages, lung cancer is often diagnosed at a more advanced stage and thus, has a very poor 5-year survival rate. The current diagnostic method is the detection of the neoplasm masses through a CT scan while specific biomarkers are yet to be discovered. Aim of this project is to develop a circulating novel biomarker candidate for early detection of lung cancer.
A fluorescently detectable lectin-coated europium(III)-nanoparticles were used as a selective carbohydrate-recognizing tracer to identify potential lung cancer specific glycovariants on different glycoprotein. Initial glycoprofiling experiments with cell culture spent medium and clinical plasma samples provided information on protein-glycovariant combinations that discriminated cancerous samples from the control samples. The three best combinations were optimized and a cohort study of 97 samples was performed with each optimized novel immunoassay.
The results obtained from the initial glycoprofiling experiments performed with 32 clinical serum samples showed a significant difference between cancer and control groups. The optimizations done on each combination improved assay performance but the cohort study of 97 samples had no significance between the two groups.