Secretome analysis of multiple pancreatic cancer cell lines reveals perturbations of key functional networks

Silvia Schiarea, Graziella Solinas, Paola Allavena, Graziana Maria Scigliuolo, Renzo Bagnati, Roberto Fanelli, Chiara Chiabrando

Research output: Contribution to journalArticlepeer-review


The cancer secretome is a rich repository in which to mine useful information for both cancer biology and clinical oncology. To help understand the mechanisms underlying the progression of pancreatic cancer, we characterized the secretomes of four human pancreatic ductal adenocarcinoma (PDAC) cell lines versus a normal counterpart. To this end, we used a proteomic workflow based on high-confidence protein identification by mass spectrometry, semiquantitation by a label-free approach, and network enrichment analysis by a system biology tool. Functional networks significantly enriched with PDAC-dysregulated proteins included not only expected alterations within key mechanisms known to be relevant for tumor progression (e.g., cell-cell/cell-matrix adhesion, extracellular matrix remodeling, and cytoskeleton rearrangement), but also other extensive, coordinated perturbations never observed in pancreatic cancer. In particular, we highlighted perturbations possibly favoring tumor progression through immune escape (i.e., inhibition of the complement system, deficiency of selected proteasome components within the antigen-presentation machinery, and inhibition of T cell cytoxicity), and a defective protein folding machinery. Among the proteins found concordantly oversecreted in all of our PDAC cell lines, many are reportedly overexpressed in pancreatic cancer (e.g., CD9 and Vimentin), while others (PLOD3, SH3L3, PCBP1, and SFRS1) represent novel PDAC-secreted proteins that may be worth investigating.

Original languageEnglish
Pages (from-to)4376-4392
Number of pages17
JournalJournal of Proteome Research
Issue number9
Publication statusPublished - Sep 3 2010


  • cell culture
  • label-free quantitation
  • mass spectrometry
  • network enrichment analysis
  • pancreatic cancer
  • proteomics
  • secretome

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)


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