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Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
Concordance between ER, PR, Ki67, and HER2-low expression in breast cancer by MammaTyper RT-qPCR and
Nahla M Badr1,2, Mohamed Zaakouk1,3, Qi Zhang4
1Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
The MammaTyper RT-qPCR test shows high concordance with standard immunohistochemistry (IHC) for breast cancer biomarkers ESR1, PGR, ERBB2, and MKI67 on core biopsies. This suggests MammaTyper is a reliable alternative for accurate breast cancer classification.
Area of Science:
- Oncology
- Molecular Diagnostics
- Biomarker Analysis
Background:
- Limited data exists on multigene tests' correlation with immunohistochemistry (IHC) on core biopsies.
- MammaTyper is a CE-marked RT-qPCR test for mRNA expression of ESR1, PGR, ERBB2, and MKI67.
Purpose of the Study:
- To evaluate the concordance of MammaTyper (RT-qPCR) with IHC for key breast cancer biomarkers.
- To assess the reliability of MammaTyper on core needle biopsies.
Main Methods:
- 133 breast cancer core needle biopsies were analyzed.
- MammaTyper results were compared to IHC for ER, PR, HER2, and Ki67.
- HER2 positivity defined by IHC 3+ or 2+ with FISH amplification; Ki67 analyzed globally and by hotspot using digital image analysis.
Main Results:
- High concordance between RT-qPCR and IHC for ESR1 (OPA 94.7%) and PR (PPA 91.5%).
- Strong agreement for ERBB2/HER2 (OPA 95%), identifying ERBB2-low cases.
- Optimal MKI67 concordance achieved with hotspot digital image analysis (OPA 87.2%).
Conclusions:
- RT-qPCR assessment of ESR1, PGR, ERBB2, and MKI67 mRNA expression shows high concordance with IHC.
- MammaTyper on core biopsies is a reliable, efficient, and reproducible alternative for breast cancer classification.
- The test aids in refining HER2-low categorisation.
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