- Title
- Proteome and secretome analysis of pancreatic cancer cells
- Creator
- Li, Xiang; Liu, Hui; Dun, Matthew D.; Faulkner, Sam; Liu, Xiaoming; Jiang, Chen Chen; Hondermarck, Hubert
- Relation
- Proteomics Vol. 22, Issue 13-14, no. 2100320
- Publisher Link
- http://dx.doi.org/10.1002/pmic.202100320
- Publisher
- Wiley-VCH Verlag GmbH & Co. KGaA
- Resource Type
- journal article
- Date
- 2022
- Description
- Pancreatic cancer is a lethal malignancy and no screening biomarker or targeted therapy is currently available. Here, we performed a shotgun proteomic label-free quantification (LFQ) to define protein changes in the cellular proteome and secretome of four pancreatic cancer cell lines (PANC1, Paca44, Paca2, and BXPC3) versus normal human pancreatic ductal epithelial cells (HPDE). In the cellular proteome and secretome, 149 and 43 proteins were dysregulated in the most cancer cell lines, respectively. Using Ingenuity Pathway Analysis (IPA), the most dysregulated signaling pathways in pancreatic cancer cells included the activation of epidermal growth factor receptor (EGFR), phosphoinositide 3-kinase (PI3K), protein kinase B (AKT), extracellular regulated kinase (ERK), and the deactivation of type-I interferon (IFN) pathways, which could promote cancer cell progression and decrease antitumor immunity. Parallel reaction monitoring (PRM) mass spectrometry was used to confirm the changes of seven regulated proteins quantified by LFQ: EGFR, growth/differentiation factor 15 (GDF15), protein-glutamine gamma-glutamyltransferase 2 (TGM2), leukemia inhibitory factor (LIF), interferon-induced GTP-binding protein Mx1 (MX1), signal transducer and activator of transcription 1 (STAT1), and serpin B5 (SERPINB5). Together, this proteomic analysis highlights protein changes associated with pancreatic cancer cells that should be further investigated as potential biomarkers or therapeutic targets.
- Subject
- biomarker; label-free quantification; liquid chromatography tandem mass spectrometry (LC-MS/MS); pancreatic cancer; pathway analysis; parallel reaction monitoring (PRM) proteomic; SDG 3; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1479486
- Identifier
- uon:50314
- Identifier
- ISSN:1615-9853
- Rights
- © 2022 The Authors. Proteomics published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- Language
- eng
- Full Text
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