A Comprehensive Proteome Analysis of Peripheral Blood Mononuclear Cells (PBMCs) to Identify Candidate Biomarkers of Pancreatic Cancer.

Authors :: Li H
Mao Y
Xiong Y
Zhao HH
Shen F
Gao X
Yang P
Liu X
Fu D
Source :: Cancer genomics & proteomics [Cancer Genomics Proteomics] 2019 Jan-Feb; Vol. 16 (1), pp. 81-89.
Publication Year :: 2019
Abstract: Background/aim: Pancreatic cancer (PC) is currently the fourth leading cause of cancer-related mortality worldwide. Peripheral blood mononuclear cells (PBMCs) is a subpopulation of accessible and functional immune cells. Comparative analysis of the proteome of PBMCs can help us elucidate the mechanism of disease and find potential biomarkers for diagnosis.<br />Materials and Methods: PBMCs were collected from healthy individuals, patients with benign diseases, and pancreatic cancer. iTRAQ-2DLC-MS/MS and SWATH methodologies were applied to make a comparative proteomics analysis of PBMCs.<br />Results: A total of 3,357 proteins with a false discovery rate (FDR) <1% were identified, of which 114 proteins were found dysregulated in the PC group. An extensive SWATH library was constructed which showed a potential application for large scale clinical sample analysis.<br />Conclusion: A PBMCs proteome with extensive protein representation was achieved, which will potentially allow the identification of novel biomarkers for PC.<br /> (Copyright© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

Subjects :: Chromatography, Liquid
Computational Biology methods
Data Curation
Gene Regulatory Networks
Humans
Pancreatic Neoplasms genetics
Pancreatic Neoplasms pathology
Protein Interaction Mapping
Protein Interaction Maps
Tandem Mass Spectrometry
Biomarkers, Tumor
Leukocytes, Mononuclear metabolism
Pancreatic Neoplasms metabolism
Proteome
Proteomics methods

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