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Related Experiment Video

Updated: Jun 16, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Combinatorial biomarker expression in breast cancer.

Emad A Rakha1, Jorge S Reis-Filho, Ian O Ellis

  • 1Department of Histopathology, Nottingham University Hospitals NHS Trust, Nottingham City Hospital, Hucknall Road, Nottingham, NG5 1PB, UK. emadrakha@yahoo.com

Breast Cancer Research and Treatment
|January 29, 2010
PubMed
Summary
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This review highlights the importance of assessing breast cancer biomarkers, including oestrogen (ER) and progesterone (PR) receptors and HER2, both individually and in combination. Understanding these molecular markers improves breast cancer classification and treatment strategies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pathology

Background:

  • Current breast cancer management relies on clinicopathological variables and limited biological markers.
  • Microarray studies reveal distinct molecular portraits of breast cancer, enabling classification into subtypes.
  • Immunohistochemical studies show combined molecular biomarker analysis offers greater value than individual assessment.

Purpose of the Study:

  • To review the evidence on individual and combined assessment of breast cancer biomarker expression.
  • To relate biomarker assessment to the molecular classification of breast cancer.
  • To explore the potential for improved clinical management and understanding of treatment response.

Main Methods:

  • Review of current literature on breast cancer biomarker expression.

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Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
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Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Published on: August 1, 2018

Related Experiment Videos

Last Updated: Jun 16, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
11:12

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Published on: August 1, 2018

  • Analysis of studies utilizing microarray and immunohistochemical techniques.
  • Examination of established and emerging biomarkers (ER, PR, HER2, proliferation, basal markers).

    • Main Results:

    • Oestrogen (ER) and progesterone (PR) receptors and HER2 are standard biomarkers.
    • Combined assessment of molecular biomarkers provides added value.
    • Future inclusion of proliferation and basal markers is anticipated.

    Conclusions:

    • Combinatorial assessment of biomarker expression enhances prognostic and predictive value.
    • Improved understanding can lead to better breast cancer management.
    • This approach deepens knowledge of breast cancer heterogeneity and therapeutic response.