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Cancer is a major public health challenge and the second leading cause of death in the United States. Large amount of effort has been made to achieve sensitive and specific detection of cancer, and to predict the course of cancer. Glycans are promising avenues toward the diagnosis and prognosis of cancer, because aberrant glycosylation is a prevalent hallmark of diverse types of cancer. A bottom-up “glycan node analysis” approach was employed as a useful tool, which captures most essential glycan features from blood plasma or serum (P/S) specimens and quantifies them as single analytical signals, to a lung cancer set from the Women Epidemiology Lung Cancer (WELCA) study. In addition, developments were performed to simplify a relatively cumbersome step involved in sample preparation of glycan node analysis. Furthermore, as a biomarker discovery research, one crucial concern of the glycan node analysis is to ensure that the specimen integrity has not been compromised for the employed P/S samples. A simple P/S integrity quality assurance assay was applied to the same sample set from WELCA study, which also afford the opportunity to evaluate the effects of different collection sites on sample integrity in a multisite clinical trial.
Here, 208 samples from lung cancer patients and 207 age-matched controls enrolled in the WELCA study were analyzed by glycan node analysis. Glycan features, quantified as single analytical signals, including 2-linked mannose, α2‐6 sialylation, β1‐4 branching, β1‐6 branching, 4-linked GlcNAc, and outer-arm fucosylation, exhibited abilities to distinguish lung cancer cases from controls and predict survival in patients.
To circumvent the laborious preparation steps for permethylation of glycan node analysis, a spin column-free (SCF) glycan permethylation procedure was developed, applicable to both intact glycan analysis or glycan node analysis, with improved or comparable permethylation efficiency relative to some widely-used spin column-based procedures.
Biospecimen integrity of the same set of plasma samples from WELCA study was evaluated by a simple intact protein assay (ΔS-Cysteinylated-Albumin), which quantifies cumulative exposure of P/S to thawed conditions (-30 °C). Notable differences were observed between different groups of samples with various initial handling/storage conditions, as well as among the different collection sites.
Here, 208 samples from lung cancer patients and 207 age-matched controls enrolled in the WELCA study were analyzed by glycan node analysis. Glycan features, quantified as single analytical signals, including 2-linked mannose, α2‐6 sialylation, β1‐4 branching, β1‐6 branching, 4-linked GlcNAc, and outer-arm fucosylation, exhibited abilities to distinguish lung cancer cases from controls and predict survival in patients.
To circumvent the laborious preparation steps for permethylation of glycan node analysis, a spin column-free (SCF) glycan permethylation procedure was developed, applicable to both intact glycan analysis or glycan node analysis, with improved or comparable permethylation efficiency relative to some widely-used spin column-based procedures.
Biospecimen integrity of the same set of plasma samples from WELCA study was evaluated by a simple intact protein assay (ΔS-Cysteinylated-Albumin), which quantifies cumulative exposure of P/S to thawed conditions (-30 °C). Notable differences were observed between different groups of samples with various initial handling/storage conditions, as well as among the different collection sites.
ContributorsHu, Yueming (Ph.D.) (Author) / Borges, Chad R (Thesis advisor) / Ros, Alexandra (Committee member) / Wang, Xu (Committee member) / Arizona State University (Publisher)
Created2019