Investigating MUC1/ICAM-1 Binding Induced Signaling in Breast Cancer Metastasis

Abstract

Breast cancer is the second leading cause of cancer death in Canadian women. To metastasize, cells must move through the stroma of the breast, enter the circulation, survive transit, exit the circulation, and form a secondary tumor. It is not fully understood how breast cancer cells gain the ability to move or what signaling pathways mediate these events, and identification of critical components of these pathways would represent potential targets for anti-metastatic therapies. The MUC1 glycoprotein is expressed on the apical membrane of normal breast epithelia. In many human breast carcinomas, MUC1 is overexpressed and loses apical polarization, events that correlate with increased metastasis. Several critical steps of the metastatic cascade require cell adhesion, and it has been reported that MUC1 is a ligand for ICAM-1, which is expressed throughout the migratory tract of a metastasizing breast cancer cell. It was subsequently reported that MUC1/ICAM-1 binding initiates calcium oscillations, cytoskeletal reorganization, and cell migration, suggesting that binding could be important in metastasis. Here, we investigate the mechanism of MUC1/ICAM-1 binding induced signaling. We show that MUC1 forms constitutive dimers which are required for Src recruitment and ICAM-1 binding induced signaling. We show that MUC1 dimers are not covalently linked and do not require cytoplasmic domain cysteine residues. These results reveal information on the mechanism of MUC1/ICAM-1 signalling, which can be used to identify novel targets and combinational strategies for anti-metastatic therapy in breast cancer.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2011
Accession Number
ADA555411

Entities

People

  • Ashlyn Bernier

Organizations

  • University of Alberta

Tags

DTIC Thesaurus Topics

  • Amino Acids
  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Cell Line
  • Cell Movement
  • Cell Physiological Processes
  • Cells
  • Chemical Reactions
  • Data Sets
  • Department Of Defense
  • Fibroblasts
  • Molecular Weight
  • Neoplasms
  • Polymerase Chain Reaction
  • Statistical Analysis
  • Therapy

Fields of Study

  • Biology

Readers

  • Cellular and Molecular Pathways of Apoptosis.
  • Computational Linguistics
  • Oncology (Cancer Research).