five

LC-MS/MS analysis of pancreatic cancer plasma

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NIAID Data Ecosystem2026-03-12 收录
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https://www.omicsdi.org/dataset/pride/PXD025150
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Pancreatic cancer (PC) is an aggressive cancer with a high mortality rate, necessitating the de-velopment of effective diagnostic, prognostic and predictive biomarkers for disease manage-ment. Aberrantly fucosylated proteins in PC are considered a valuable resource of clinically useful biomarkers. The main objective of the present study was to identify novel plasma glyco-biomarkers of PC using the iTRAQ quantitative proteomics approach coupled with Aleuria au-rantia lectin (AAL)-based glycopeptide enrichment and isotope-coded glycosylation site-specific tagging, with a view to analyzing the glycoproteome profiles of plasma samples from patients with non-metastatic and metastatic PC and gallstones (GS). As a result, 22 glycopeptides with significantly elevated levels in plasma samples of PC were identified. Fucosylated SERPINA1 (fuco-SERPINA1) was selected for further validation in 121 plasma samples (50 GS and 71 PC) using an AAL-based reverse lectin ELISA technique developed in-house. Our analyses revealed significantly higher plasma levels of fuco-SERPINA1 in PC than GS subjects (310.7 ng/ml v.s. 153.6 ng/ml, p = 0.0114). Elevated fuco-SERPINA1 levels were associated with higher TNM stage (p = 0.024) and poorer prognosis for overall survival (log-rank test, p = 0.0083). The increased plasma fuco-SERPINA1 levels support the utility of this protein as a novel prognosticator for PC.
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2021-09-10
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