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Updated: Nov 5, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Current Biomarkers for Precision Medicine in Breast Cancer
1Breast and Thyroid Center, Department of Surgery, Kangnam Sacred Heart Hospital, Hallym University, Seoul, South Korea. sooahn79@naver.com.
Abstract:
Breast cancer has become the prototypical solid tumor where targets have been identified within the tumor allowing for personalized approach for systemic therapy. Biomarkers are beginning to play an important role in preparing the way for precision treatment. Mandatory biomarkers for every newly diagnosed case of breast cancer are estrogen receptors and progesterone receptors in selecting patients for endocrine treatment and HER2 for identifying patients likely to benefit from antiHER2 therapy. Although methodological problems exist in the determination of Ki67, because of its clearly established clinical value, wide availability, and low costs relative to the available multianalyte signatures, Ki67 may be used for determining prognosis, especially if values are low or high. Also, the androgen receptor (AR) pathway is emerging as a potential therapeutic target in breast cancer. AR-targeted treatments for breast cancer are in development and have shown promising preliminary results. While, most established biomarkers in breast cancer require tissue samples, serum tumor markers are easily accessible and require a less invasive procedure. Among them, tissue polypeptide-specific antigen (TPS), a specific epitope structure of a peptide in serum associated with human cytokeratin 18, is linked to the proliferative activity of tumors. TPS may be a valuable and independent prognostic biomarker for breast cancer.In order to accelerate progress towards precision treatment for women with breast cancer, we need additional predictive biomarker, especially for enhancing the positive predictive value for endocrine and antiHER2 therapies, as well as biomarkers for predicting response to specific forms of chemotherapy.
Insights
Biomarkers are crucial for personalized breast cancer treatment, guiding endocrine and anti-HER2 therapies. New biomarkers, including serum tumor markers like TPS, are needed to improve treatment prediction and patient outcomes.
Area of Science:
- Oncology
- Biomarker Discovery
- Precision Medicine
Background:
- Breast cancer treatment is increasingly personalized, relying on tumor-specific targets.
- Established biomarkers include estrogen receptors, progesterone receptors, and HER2, guiding endocrine and anti-HER2 therapies.
- Ki67 is a prognostic biomarker, and the androgen receptor (AR) pathway is an emerging therapeutic target.
Purpose of the Study:
- To highlight the importance of biomarkers in precision breast cancer treatment.
- To discuss the role of established and emerging biomarkers.
- To emphasize the need for novel predictive biomarkers for enhanced therapy selection.
Main Methods:
- Review of current breast cancer biomarker landscape.
- Discussion of tissue-based biomarkers (ER, PR, HER2, Ki67, AR).
- Exploration of serum tumor markers, specifically tissue polypeptide-specific antigen (TPS).
Main Results:
- Estrogen receptors, progesterone receptors, and HER2 are mandatory for endocrine and anti-HER2 therapy selection.
- Ki67 provides prognostic information, and AR pathway is a promising therapeutic target.
- Tissue polypeptide-specific antigen (TPS) shows potential as an accessible, independent prognostic biomarker.
Conclusions:
- Biomarkers are essential for tailoring breast cancer systemic therapy.
- Further research is needed for predictive biomarkers to improve endocrine, anti-HER2, and chemotherapy response prediction.
- Serum tumor markers like TPS offer a less invasive approach to prognostic assessment.

