Identification of dissociation factors in pancreatic Cancer using a mass spectrometry-based proteomic approach

BMC Cancer. 2020 Jan 20;20(1):45. doi: 10.1186/s12885-020-6522-3.

Abstract

Backgroud: Pancreatic cancer is a highly malignant tumor of the digestive system. This secretome of pancreatic cancer is key to its progression and metastasis. But different methods of protein extraction affect the final results. In other words, the real secretion of proteins in cancer cells has been changed. Based on mass spectrometry, we analyze the secretome from the serum-containing and serum-free medium, using different protein pretreatment methods. This study aims to identify dissociation factors in pancreatic cancer.

Methods: In this study, pancreatic cancer cells were cultured in serum-containing or serum-free medium, and the corresponding supernatants were extracted as samples. Subsequently, the above samples were separated by size exclusion chromatography (SEC), and peptide segments were identified by LC-MS/MS. The final results were identified via the hamster secreted protein database and a public database.

Results: Although the number of identified proteins in the serum-free medium group was high, the real secretion of proteins in pancreatic cancer cells was changed. There were six significant secreted proteins in the serum-containing medium group. Survival analysis via the TCGA database suggested that patients with higher expression levels of YWHAG showed a worse overall survival rate than those with lower YWHAG expression.

Conclusions: Our study demonstrated the results in the serum-containing medium group were more similar to the real secretome of pancreatic cancer cells. YWHAG could be used as a prognostic indicator for pancreatic cancer.

Keywords: Mass spectrum; Pancreatic cancer; SEC; Secreted proteome.

MeSH terms

  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism*
  • Cell Line, Tumor
  • Chromatography, Liquid / methods
  • Databases, Protein / statistics & numerical data
  • Disease Progression
  • Gene Expression Regulation, Neoplastic*
  • Humans
  • Pancreatic Neoplasms / diagnosis
  • Pancreatic Neoplasms / metabolism*
  • Proteome / analysis
  • Proteome / metabolism*
  • Proteomics / methods*
  • Survival Rate
  • Tandem Mass Spectrometry / methods

Substances

  • Biomarkers, Tumor
  • Proteome