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Experimental Metastasis Assay
Published on: August 24, 2010
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Changes in glycoprotein expression between primary breast tumour and synchronous lymph node metastases or
Emila Kurbasic1, Martin Sjöström2, Morten Krogh3
1Department of Immunotechnology, House 406, Medicon Village, SE-223 81 Lund, Sweden.
Clinical Proteomics
|May 21, 2015
Summary
Breast cancer cells change molecularly as they spread to lymph nodes and distant sites. This suggests that treatment decisions should consider the characteristics of these metastases, not just the primary tumor.
Area of Science:
- Oncology
- Proteomics
- Cancer Metastasis
Background:
- Breast cancer is a heterogeneous disease with varying patient outcomes.
- Prognostic factors like tumor size, receptor status (ER, PgR, HER2), grade, Ki67, and age are routinely assessed.
- Lymph node involvement is critical for staging and guiding adjuvant therapy.
Purpose of the Study:
- To investigate molecular differences between primary breast tumors and their matched metastases.
- To identify proteins that change expression during the metastatic process.
- To explore the implications of these changes for treatment strategies.
Main Methods:
- Analysis of matched primary breast tumors with synchronous lymph node metastases and distant metastases.
- Pairwise tumor analysis within individuals to minimize inter-patient variability.
- Glycopeptide capture followed by label-free quantitative tandem mass spectrometry.
- Validation of differentially expressed proteins using immunohistochemistry.
Main Results:
- Significant changes in glycosylated protein expression were observed between primary tumors and matched metastases.
- Proteins involved in cell adhesion, migration, and immune response pathways were identified as differentially regulated.
- ATPIF1 and tubulin β-chain were validated as key differentially expressed proteins.
Conclusions:
- Cancer cells undergo molecular transformation during metastasis.
- The identified proteins provide insights into the molecular mechanisms of tumor spread.
- Treatment strategies should potentially be guided by the phenotype of metastatic sites.
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