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The Pathologist / Issues / 2026 / July / Gene Test May Refine Chemo Choices
Oncology Precision medicine Research and Innovations Molecular Pathology Omics

Gene Test May Refine Chemo Choices

Real-world study suggests genomic testing could help laboratories support more personalized chemotherapy decisions in early breast cancer

07/13/2026 News 2 min read
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Objective:

To determine if a genomic test can identify patients with hormone receptor-positive, HER2-negative early breast cancer who are most likely to benefit from anthracycline-containing chemotherapy.

Approach:
  • Study Design: Analysis of real-world data from 1,259 patients in the FLEX registry with stage I–III disease, requiring high-risk results on the MammaPrint 70-gene assay and a Luminal B tumor profile on the BluePrint 80-gene test.
  • Treatment Comparison: Patients received either an anthracycline- and taxane-based regimen or a taxane/cyclophosphamide regimen after surgery.
Key Findings:
  • High-risk category was not uniform; High Risk 2 patients had better invasive disease-free survival with anthracycline treatment.
  • High Risk 1 patients had similar outcomes regardless of anthracycline inclusion.
  • Standard clinical features did not distinguish patients benefiting from anthracyclines.
Interpretation:

The study illustrates the value of genomic profiling in predicting benefit from specific cancer therapies.

Limitations:
  • Analysis based on an observational registry with a median follow-up of just over three years.
  • Statistical methods were used to reduce treatment-selection bias, but further validation is needed.
Conclusion:

Additional validation, including analyses from randomized clinical trials, will be necessary before broader clinical adoption.

Sources:
  • JCO Precision Oncology

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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