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Multiplex Immunohistochemical Analysis of the Spatial Immune Cell Landscape of the Tumor Microenvironment
Published on: August 18, 2023
Immunohistochemical markers as predictive tools for breast cancer
1Department of Cancer Studies & Molecular Medicine, University of Leicester, Robert Kilpatrick Building, Leicester Royal Infirmary, PO Box 65, Leicester LE2 7LX, UK. raw14@le.ac.uk
Journal of Clinical Pathology
|November 27, 2007
Summary
Accurate interpretation of breast cancer predictive markers, like oestrogen receptors, is vital for effective treatment selection. Understanding assay limitations ensures reliable results, impacting patient management and improving outcomes.
Area of Science:
- Oncology
- Pathology
- Biomarker Analysis
Background:
- Predictive markers are crucial for guiding breast cancer treatment decisions.
- Steroid receptors have long been utilized as clinical predictive markers.
- Immunohistochemistry is the primary assay for assessing these markers.
Purpose of the Study:
- To highlight the importance of accurate interpretation of predictive markers in breast cancer.
- To emphasize the clinical significance of understanding technical pitfalls in marker assays.
- To underscore the role of oestrogen receptor as a reliable predictive marker.
Main Methods:
- Review of current practices in predictive marker assessment for breast cancer.
- Discussion of immunohistochemistry as the predominant assay methodology.
- Analysis of challenges including tissue fixation, methodology, interpretation, and quantification.
Main Results:
- Oestrogen receptor remains the most reliable predictive marker for treatment response in breast cancer.
- Despite extensive use, immunohistochemistry faces challenges impacting result accuracy.
- Understanding marker expression in relation to breast cancer pathology is critical.
Conclusions:
- Accurate interpretation of predictive markers is essential for appropriate patient management.
- Awareness of technical limitations in assays like immunohistochemistry is crucial.
- False negative or positive results can significantly affect breast cancer treatment strategies.
