Proteomic analyses identify prognostic biomarkers for pancreatic ductal adenocarcinoma

Research output: Contribution to journalArticle

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy. Here we show that shotgun and targeted protein sequencing can be used to identify potential prognostic biomarkers in formalin-fixed paraffin-embedded specimens from 9 patients with PDAC with "short" survival (< 12 months) and 10 patients with "long" survival ( > 45 months) undergoing surgical resection. A total of 24 and 147 proteins were significantly upregulated [fold change ≥2 or ≤0.5 and P < 0.05; or different detection frequencies (≥5 samples)] in patients with "short" survival (including GLUT1) and "long" survival (including C9orf64, FAM96A, CDH1 and CDH17), respectively. STRING analysis of these proteins indicated a tight protein-protein interaction network centered on TP53. Ingenuity pathway analysis linked proteins representing "activated stroma factors" and "basal tumor factors" to poor prognosis of PDAC. It also highlighted TCF1 and CTNNB1 as possible upstream regulators. Further parallel reaction monitoring verified that seven proteins were upregulated in patients with "short" survival (MMP9, CLIC3, MMP8, PRTN3, P4HA2, THBS1 and FN1), while 18 proteins were upregulated in patients with "long" survival, including EPCAM, LGALS4, VIL1, CLCA1 and TPPP3. Thus, we verified 25 protein biomarker candidates for PDAC prognosis at the tissue level. Furthermore, an activated stroma status and protein-protein interactions with TP53 might be linked to poor prognosis of PDAC.

Details

Authors
Organisations
External organisations
  • Wenzhou Medical University
  • Skåne University Hospital
  • Warsaw University of Life Sciences
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Cancer and Oncology

Keywords

  • Biomarker, Pancreatic ductal adenocarcinoma, Proteome, Survival, Tumor microenvironment
Original languageEnglish
Pages (from-to)9789-9807
Number of pages19
JournalOncotarget
Volume9
Issue number11
Publication statusPublished - 2018
Publication categoryResearch
Peer-reviewedYes

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