Genomic expression profiling and bioinformatics analysis of pancreatic cancer

Mol Med Rep. 2015 Sep;12(3):4133-4140. doi: 10.3892/mmr.2015.3917. Epub 2015 Jun 11.

Abstract

Pancreatic cancer is a polygenic disease and the fourth leading cause of cancer-associated mortality worldwide; however, the tumorigenesis of pancreatic cancer remains poorly understood. Research at a molecular level, which includes the exploration of biomarkers for early diagnosis and specific targets for therapy, may effectively aid in the diagnosis of pancreatic cancer in its early stages and in the development of targeted molecular‑biological approaches for treatment, thus improving prognosis. By conducting expression profiling in para‑carcinoma, carcinoma and relapse of human pancreatic tissues, 319 genes or transcripts with differential expression levels >3‑fold between these tissue types were identified. Further analysis with Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes demonstrated that the translation, nucleus assembly processes and molecular functions associated with vitamin B6 and pyridoxal phosphate binding in pancreatic carcinoma were abnormal. Pancreatic cancer was additionally identified to be closely associated with certain autoimmune diseases, including type I diabetes mellitus and systemic lupus erythematosus.

MeSH terms

  • Carcinoma / metabolism*
  • Carcinoma / pathology
  • Computational Biology*
  • Down-Regulation
  • Gene Expression Profiling*
  • Gene Expression Regulation, Neoplastic*
  • Humans
  • Neoplasm Recurrence, Local
  • Oligonucleotide Array Sequence Analysis
  • Pancreatic Neoplasms / metabolism*
  • Pancreatic Neoplasms / pathology
  • Up-Regulation