Understanding Cancer Progression Using Protein Interaction Networks

  • Emre Guney
  • Rebeca Sanz-Pamplona
  • Angels Sierra
  • Baldo Oliva
Chapter

Abstract

Cancer is produced by perturbations affecting several genes and pathways. Environmental stimuli trigger uncontrolled cell growth and invasion into other tissues. Understanding cancer progression requires a profound knowledge of the pathways involved in the communication between proteins and genes at a systems level. Consequently, protein-protein interaction networks play an important role in delineating cancer related pathways. Our understanding of cancer has evolved towards the co-operation of groups of genes that constitute pathways. In this chapter, we describe the characteristics of genes involved in cancer and the relationships between them in the context of the protein-protein interaction network. We also explain several methods to predict novel candidates that are potentially involved in cancer and its progression using topological information encoded in the protein-protein interaction network. Towards developing effective network-based therapeutics, we give details of identifying dysregulation patterns in cancer using protein-protein interaction networks with an emphasis on the underlying mechanisms of progression in metastatic breast cancer.

Keywords

Protein-protein interaction Network biology Network medicine Active subnetwork Metastasis Metastatic breast cancer Guilt-by-association 

Abbreviations

PPI

Protein-protein interaction

GO

Gene Ontology

OMIM

Online Mendelian Inheritance in Man

ROC

Receiver-operating characteristic

AUC

Area under (ROC) curve

GRP

Glucose regulated proteins

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Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Emre Guney
    • 1
  • Rebeca Sanz-Pamplona
    • 2
  • Angels Sierra
    • 3
  • Baldo Oliva
    • 1
  1. 1.Structural Bioinformatics Group (GRIB-IMIM)Universitat Pompeu Fabra, PRBBBarcelonaSpain
  2. 2.Unit of Biomarkers and Susceptibility, ICO-IDIBELLHospital Duran i ReynalsBarcelonaSpain
  3. 3.Centre d’Oncologia Molecular, Institut de Recerca Oncològica – IDIBELLHospital Duran i ReynalsBarcelonaSpain

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