Role of Biomarkers in Breast Cancer Prognostication and Treatment
Biomarkers such as estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) are essential for determining prognosis and guiding treatment decisions in breast cancer, as they directly impact mortality and quality of life by determining eligibility for targeted therapies. 1
Key Biomarkers and Their Clinical Significance
ER, PR, and HER2 Status
- ER, PR, and HER2 are the only biomarkers with demonstrated clinical validity for guiding treatment decisions in metastatic breast cancer 1
- These biomarkers serve as both prognostic factors (indicating disease outcome) and predictive factors (indicating likelihood of response to specific therapies) 1
- ER and PR status determines eligibility for endocrine therapy, while HER2 status determines eligibility for anti-HER2 targeted therapies (trastuzumab, lapatinib, pertuzumab, T-DM1) 1, 2
- Patients with ER+/HER2- breast cancer generally have a more favorable prognosis with lower locoregional recurrence rates compared to other subtypes 3
Prognostic Implications
- ER+ status, whether in primary or metastatic disease, is associated with prolonged metastasis-free survival compared to ER-negative tumors 4
- Triple-negative breast cancers (ER-/PR-/HER2-) have higher rates of locoregional recurrence and poorer overall survival 3
- PR status provides additional prognostic information, with PR+ tumors generally having better outcomes 3
Testing and Interpretation
Testing Methods
- FDA-approved testing methods for ER, PR, and HER2 include immunohistochemistry (IHC) for protein expression and in situ hybridization (ISH) for gene alterations 1, 5
- Guidelines from ASCO/CAP provide standardized protocols for testing and interpretation 1, 5
Interpretation Challenges
- Test results are typically definitively positive or negative, but equivocal results may require additional testing using alternative methods or different portions of the same specimen 1
- Some results may remain indeterminate or inconsistent with other histopathologic findings, requiring consultation between pathologist and oncologist 1
Receptor Conversion and Retesting
Importance of Retesting in Metastatic Disease
- ER, PR, and HER2 status may change (become discordant) between primary tumor and metastatic sites 1
- Overall discordance rates between primary and metastatic disease: 18.3% for ER, 40.3% for PR, and 13.7% for HER2 4
- Conversion typically occurs as a switch from positive to negative receptor status 4
- Discordance can also occur between different metastatic sites in the same patient 4
Clinical Approach to Discordance
- When discordance occurs between primary and metastatic tissues, the ASCO panel recommends using the receptor status from the metastasis to direct therapy 1
- This recommendation should be applied within the context of the clinical scenario and patient's goals for care 1
Biomarker-Guided Treatment Decisions
Early-Stage Breast Cancer
- In early-stage breast cancer, additional biomarker assays like Oncotype DX, EndoPredict, PAM50, and Breast Cancer Index have demonstrated clinical utility for guiding adjuvant systemic therapy decisions in specific subgroups 1
- For ER+/PR+/HER2- node-negative breast cancer, the 21-gene recurrence score (Oncotype DX) may guide decisions on adjuvant chemotherapy 1
Metastatic Breast Cancer
- For metastatic disease, treatment decisions are primarily guided by ER, PR, and HER2 status 1
- ER+ metastatic disease is typically treated with endocrine therapy 6
- HER2+ disease is treated with HER2-targeted therapies, often in combination with chemotherapy 2
Clinical Pitfalls and Caveats
- Tumor heterogeneity may lead to sampling errors and discordant results 1, 4
- Treatment effects may alter receptor expression over time 4
- Some patients may have equivocal or borderline results requiring additional testing 1
- Failure to retest metastatic sites may lead to suboptimal treatment selection 1, 4
- While multiple biomarker tests are technically possible, only ER, PR, and HER2 have demonstrated clinical validity for treatment decisions outside clinical trials 1
Emerging Biomarkers
- Recent advances include biomarkers at genomic, transcriptomic, and proteomic levels 7, 8
- PD-L1 testing has emerged as important for immunotherapy decisions in triple-negative breast cancer 7
- Other potential biomarkers include mismatch repair deficiency/microsatellite instability, tumor mutational burden, and PIK3CA mutations 7
By understanding and appropriately utilizing these biomarkers, clinicians can develop more personalized treatment approaches that improve survival outcomes and quality of life for breast cancer patients.