Pathology & Oncology Research

, Volume 20, Issue 2, pp 293–299

Functional Modules Analysis Based on Coexpression Network in Pancreatic Ductal Adenocarcinoma

  • Baomin Shi
  • Xiuyan Wang
  • Xujie Han
  • Pengfei Liu
  • Weiwei Wei
  • Yan Li
Research

DOI: 10.1007/s12253-013-9694-1

Cite this article as:
Shi, B., Wang, X., Han, X. et al. Pathol. Oncol. Res. (2014) 20: 293. doi:10.1007/s12253-013-9694-1

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is the most common epithelial, exocrine pancreatic malignancy, accounting for more than 80 % of the malignant neoplasms of the pancreas. Although the molecular basis of pancreatic cancer is now better understood than ever before, there remains a long distance from being completely understood. In this study, we identified the differentially expressed genes (DEGs) in PDAC tissue compared with normal tissue and constructed a co-expression network by computing the pairwise correlation coefficient between the DEGs. We applied a statistical approach of MCODE to cluster genes in the coexpression network. Ten functional modules were identified in this network. Our results strongly suggest that dysregulations of immune response, homeostasis and cell adhesion may significantly contribute to the development and progression of PDAC. Results from this study will provide the groundwork for the understanding of PDAC. Future studies are needed to confirm some of the possible interactions suggested by this study.

Keywords

Co-expression network Functional modules Pancreatic ductal adenocarcinoma 

Copyright information

© Arányi Lajos Foundation 2013

Authors and Affiliations

  • Baomin Shi
    • 1
    • 3
  • Xiuyan Wang
    • 2
  • Xujie Han
    • 1
  • Pengfei Liu
    • 1
  • Weiwei Wei
    • 1
  • Yan Li
    • 1
  1. 1.Department of General SurgeryTongji Hospital of Tongji UniversityShanghaiChina
  2. 2.Department of UltrasonographyTongji Hospital of Tongji UniversityShanghaiChina
  3. 3.Department of General SurgeryTongji Hospital of Tongji UniversityShanghaiChina

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