Dataset Information

LC-MS/MS analysis of pancreatic cancer plasma

ABSTRACT: 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.

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

DISEASE(S): Pancreatic Cancer

SUBMITTER: Chia-Chun Wu

LAB HEAD: Jau-Song Yu

PROVIDER: PXD025150 | Pride | 2021-09-10

REPOSITORIES: Pride

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Publications

Identification of Fucosylated SERPINA1 as a Novel Plasma Marker for Pancreatic Cancer Using Lectin Affinity Capture Coupled with iTRAQ-Based Quantitative Glycoproteomics.

Wu Chia-Chun CC Lu Yu-Ting YT Yeh Ta-Sen TS Chan Yun-Hsin YH Dash Srinivas S Yu Jau-Song JS

International journal of molecular sciences 20210604 11

Pancreatic cancer (PC) is an aggressive cancer with a high mortality rate, necessitating the development of effective diagnostic, prognostic and predictive biomarkers for disease management. 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 glycobiomarkers of PC using the iTRAQ quantitative proteomics approach coupled with <i>Aleuria aurantia</i> lectin (AAL)-based glycope ...[more]

PMID: 34199928

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Project description:The tumoral clone of Waldenstrons macroglobulinemia (WM) shows a wide morphological heterogeneity which ranges from B-lymphocytes (BL) to plasma cells (PC). By means of genome-wide expression profiling we have been able to identify genes exclusively deregulated in BL and PC from WM, but with a similar expression pattern in their corresponding cell-counterparts from CLL and MM, as well as normal individuals. The differentially expressed genes have important functions in B-cell differentiation and oncogenesis. Thus, two of the genes down-regulated in WM-BL were IL4R, which plays a relevant role in CLL B cell survival, and BACH2 that participates in the development of class-switched PC. Interestingly, one of the up-regulated genes in WM-BL was IL6. A set of 4 genes was able to discriminate clonal B-lymphocytes from WM and CLL: LEF1 (WNT/ßcatenin pathway), MARCKS, ATXN1 and FMOD. We also found deregulation of genes involved in plasma cell differentiation such as PAX5 which was overexpressed in WM-PC, and IRF4 and BLIMP1 which were underexpressed. In addition, three of the target genes activated by PAX5 -CD79, BLNK and SYK- were up-regulated in WM-PC. In summary, these results indicate that both PC and BL from WM are genetically different from the MM and CLL cell-counterpart. Keywords: Waldenstrons macroglobulinemia, expression profiling, microarrays, Affymetrix. Bone marrow (BM) samples from 10 patients with Waldenstrons macroglobulinemia (WM), 12 with multiple myeloma (MM) and 11 with chronic lymphocytic leukemia (CLL) were included in the study. All samples corresponded to newly diagnosed untreated patients. In addition, 8 normal B lymphocytes samples (NBL) from peripheral blood and 5 normal plasma cells (NPC) from bone marrow of healthy donors were also selected in order to relate the deregulation of GEP of clonal populations to normal condition. The study was approved by the local research ethics committee and written informed consent was obtained from all patients and healthy donors.

Dataset Information

LC-MS/MS analysis of pancreatic cancer plasma

Publications

Identification of Fucosylated SERPINA1 as a Novel Plasma Marker for Pancreatic Cancer Using Lectin Affinity Capture Coupled with iTRAQ-Based Quantitative Glycoproteomics.

Similar Datasets

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