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Updated: Jul 5, 2025

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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
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Predictive and prognostic biomarkers in breast tumours
Melissa Krystel-Whittemore1, Puay Hoon Tan2, Hannah Y Wen3
1Department of Pathology, NYU Langone Health, New York, NY, USA.
Pathology
|January 11, 2024
Summary
This review details established tumor biomarkers for breast cancer, offering the latest insights into their clinical use for predicting cancer behavior and treatment response. Understanding these biomarkers aids in personalized medicine and improved patient prognosis.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Precision medicine relies on identifying tumor biomarkers to predict cancer behavior and treatment response.
- Breast cancer classification has advanced through intrinsic subtypes defined by tumor biology.
- Tumor biomarkers are crucial for understanding prognosis and tailoring treatment strategies.
Purpose of the Study:
- To review established breast cancer biomarkers.
- To provide updated information on their understanding and clinical application.
- To highlight their role as predictive and prognostic markers.
Main Methods:
- Literature review of established breast cancer biomarkers.
- Synthesis of current data on biomarker understanding.
- Analysis of clinical utility in prediction and prognosis.
Main Results:
- Established breast cancer biomarkers are key to subtyping and personalized treatment.
- Updated information on biomarker roles in predicting treatment response is presented.
- The prognostic and predictive value of these biomarkers is emphasized.
Conclusions:
- Tumor biomarkers are essential for precision medicine in breast cancer.
- Continued research and application of biomarkers improve patient outcomes.
- This review serves as a comprehensive resource for breast cancer biomarker knowledge.
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