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Oncotarget

Oncotarget: Biomarker Predicts Treatment Efficacy in Triple-Negative Breast Cancer

Jul 28, 2021
Exploring the significance of biomarkers in predicting treatment effectiveness for triple-negative breast cancer, focusing on markers like HER2 and hormone receptors. A study examines the impact of TROP2 expression and RAD51 in the effectiveness of treatment for TNBC, highlighting high TROP2 expression as a pivotal biomarker.
05:09

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Quick takeaways

  • Biomarkers play a vital role in tailoring personalized cancer therapy by identifying key indicators for specific treatments.
  • High expression of TROP2 acts as a primary biomarker for predicting the efficacy of SAKA2ZUMAB GOVATIKIN in triple negative breast cancer.

Deep dives

Biomarkers in Personalized Cancer Therapy

Biomarkers play a crucial role in individualized cancer treatment plans by identifying key indicators that support specific therapies. Research has identified multiple biomarkers in breast cancer, including HER2, estrogen, and progesterone receptors, guiding targeted treatments like EGFR antibodies and PARP inhibitors. In triple negative breast cancer, distinct biomarkers have led to new therapies such as SAKA2ZUMAB GOVATIKIN, targeting TROP2, which shows promise in treating this aggressive cancer type.

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