Proteomic Analysis of Cell Lines and Primary Tumors in Pancreatic Cancer Identifies Proteins Expressed Only In Vitro and Only In Vivo. Issue 8 (September 2020)

• Record Type: Journal Article
• Authors: Coleman, Orla; Henry, Michael; O'Neill, Fiona; Roche, Sandra; Swan, Niall; Geoghegan, Justin; Conlon, Kevin; McVey, Gerard; Moriarty, Michael; Meleady, Paula; Clynes, Martin
• Is Part Of: Pancreas. Volume 49:Issue 8(2020)
• Publication Date: 2020-09
• Subjects: pancreatic cancer -- proteomics -- pancreatic ductal adenocarcinoma cell lines -- mass spectrometry; Pancreas -- Diseases -- Periodicals; Pancreas -- Periodicals; Neuroendocrine tumors -- Periodicals; 616.37005
• DOI: 10.1097/MPA.0000000000001633
• Languages: English
• ISSNs: 0885-3177

Abstract

Abstract : Objectives: A limited repertoire of good pancreatic ductal adenocarcinoma (PDAC) models is one of the main barriers in developing effective new PDAC treatments. We aimed to characterize 6 commonly used PDAC cell lines and compare them with PDAC patient tumor samples using proteomics. Methods: Proteomic methods were used to generate an extensive catalog of proteins from 10 PDAC surgical specimens, 9 biopsies of adjacent normal tissue, and 6 PDAC cell lines. Protein lists were interrogated to determine what extent the proteome of the cell lines reflects the proteome of primary pancreatic tumors. Results: We identified 7973 proteins from the cell lines, 5680 proteins from the tumor tissues, and 4943 proteins from the adjacent normal tissues. We identified 324 proteins unique to the cell lines, some of which may play a role in survival of cells in culture. Conversely, a list of 63 proteins expressed only in the patient samples, whose expression is lost in culture, may place limitations on the degree to which these model systems reflect tumor biology in vivo. Conclusions: Our work offers a catalog of proteins detected in each of the PDAC cell lines, providing a useful guide for researchers seeking model systems for PDAC functional studies. Abstract : Supplemental digital content is available in the text.