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Updated: Oct 2, 2025

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Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
8.1K
[GENOMIC PROFILING IN LUMINAL BREAST CANCER]
Ari Raphael1,2, Amir Sonnenblick1,2
1Tel-Aviv Sourasky Medical Center.
Harefuah
|February 23, 2022
Summary
Genomic tests reveal breast cancer heterogeneity, aiding treatment decisions. These genomic assays help determine recurrence risk and chemotherapy benefit, enabling personalized care for patients.
Area of Science:
- Oncology
- Genomics
- Molecular Diagnostics
Background:
- Breast cancer is not a single disease but a spectrum of distinct subtypes.
- Estrogen receptor (ER) positive breast cancer exhibits significant heterogeneity, with Luminal A and Luminal B subtypes showing different biological behaviors and prognoses.
- Genomic profiling using microarrays has been pivotal in understanding this heterogeneity.
Purpose of the Study:
- To review the clinical and scientific basis of commercially available genomic assays for breast cancer.
- To elucidate the differences between these assays and their current clinical applications.
- To provide a comprehensive overview of genomic testing in breast cancer management.
Main Methods:
- Review of scientific literature and clinical data on genomic profiling in breast cancer.
- Analysis of five commercial genomic assays: Oncotype Dx, Mamaprint, Prosigna, Endopredict, and Breast Cancer Index.
- Summarization of the clinical utility and performance of these assays.
Main Results:
- Genomic profiling has identified distinct subtypes of breast cancer, impacting prognosis and treatment response.
- Five commercial assays are currently used to assess recurrence risk and chemotherapy benefit.
- These tests assist oncologists and patients in making informed decisions about omitting or pursuing chemotherapy.
Conclusions:
- Genomic tests are essential tools in personalized breast cancer treatment.
- Understanding the differences between available genomic assays is crucial for optimal clinical application.
- These assays empower clinicians to tailor treatment strategies based on individual tumor biology, improving patient outcomes.

