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Updated: Jul 1, 2025

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
Molecular Subtypes of Breast Cancer: A Review for Breast Radiologists
Karen S Johnson1, Emily F Conant2, Mary Scott Soo1
1Duke University Hospital, Department of Diagnostic Radiology, Durham, NC.
Abstract:
Gene expression profiling has reshaped our understanding of breast cancer by identifying four molecular subtypes: (1) luminal A, (2) luminal B, (3) human epidermal growth factor receptor 2 (HER2)-enriched, and (4) basal-like, which have critical differences in incidence, response to treatment, disease progression, survival, and imaging features. Luminal tumors are most common (60%-70%), characterized by estrogen receptor (ER) expression. Luminal A tumors have the best prognosis of all subtypes, whereas patients with luminal B tumors have significantly shorter overall and disease-free survival. Distinguishing between these tumors is important because luminal B tumors require more aggressive treatment. Both commonly present as irregular masses without associated calcifications at mammography; however, luminal B tumors more commonly demonstrate axillary involvement at diagnosis. HER2-enriched tumors are characterized by overexpression of the HER2 oncogene and low-to-absent ER expression. HER2+ disease carries a poor prognosis, but the development of anti-HER2 therapies has greatly improved outcomes for women with HER2+ breast cancer. HER2+ tumors most commonly present as spiculated masses with pleomorphic calcifications or as calcifications alone. Basal-like cancers (15% of all invasive breast cancers) predominate among "triple negative" cancers, which lack ER, progesterone receptor (PR), and HER2 expression. Basal-like cancers are frequently high-grade, large at diagnosis, with high rates of recurrence. Although imaging commonly reveals irregular masses with ill-defined or spiculated margins, some circumscribed basal-like tumors can be mistaken for benign lesions. Incorporating biomarker data (histologic grade, ER/PR/HER2 status, and multigene assays) into classic anatomic tumor, node, metastasis (TNM) staging can better inform clinical management of this heterogeneous disease.
Insights
Gene expression profiling identifies four breast cancer subtypes with distinct prognoses and imaging features. Understanding these molecular subtypes, including luminal A, luminal B, HER2-enriched, and basal-like, guides personalized treatment strategies for improved patient outcomes.
Area of Science:
- Oncology
- Genomics
- Radiology
Background:
- Gene expression profiling has revealed four distinct molecular subtypes of breast cancer: luminal A, luminal B, HER2-enriched, and basal-like.
- These subtypes exhibit significant differences in incidence, treatment response, disease progression, survival rates, and imaging characteristics.
Purpose of the Study:
- To elucidate the critical differences among the four molecular subtypes of breast cancer.
- To highlight the importance of distinguishing between subtypes for guiding treatment decisions and improving patient prognosis.
Main Methods:
- Analysis of gene expression data to classify breast cancer into molecular subtypes.
- Correlation of subtype classification with clinical outcomes, including survival and disease progression.
- Review of imaging features associated with each molecular subtype.
Main Results:
- Luminal tumors (A and B) are most common (60%-70%) and ER-positive. Luminal A has the best prognosis; Luminal B requires more aggressive treatment and shows more axillary involvement.
- HER2-enriched tumors overexpress HER2, have a poor prognosis improved by anti-HER2 therapies, and present with spiculated masses or calcifications.
- Basal-like cancers (15%) are often triple-negative (ER, PR, HER2 negative), high-grade, large, and prone to recurrence, with imaging sometimes mimicking benign lesions.
Conclusions:
- Accurate identification of breast cancer molecular subtypes is crucial for tailoring treatment and improving patient outcomes.
- Integrating biomarker data (histologic grade, ER/PR/HER2 status, multigene assays) with TNM staging enhances clinical management of heterogeneous breast cancer.
- Further research into subtype-specific therapies and imaging biomarkers is warranted.
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