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Updated: Apr 22, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Breast cancer statistics and markers
Mallika Siva Donepudi, Kasturi Kondapalli1, Seelam Jeevan Amos
1Department of Biotechnology, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India.
Early breast cancer diagnosis remains a challenge, with current tissue, genetic, and serum markers failing to detect the disease in its initial stages. A significant need exists for novel diagnostic markers to improve breast cancer detection and patient outcomes.
Area of Science:
- Oncology
- Biomarker Research
- Cancer Diagnostics
Background:
- Breast cancer incidence and mortality are rising globally, particularly in Asia.
- Early diagnosis is crucial but remains a significant challenge.
- Current diagnostic markers have limitations in detecting early-stage breast cancer.
Purpose of the Study:
- To review existing breast cancer markers used in diagnosis.
- To highlight the limitations of current markers for early detection.
- To emphasize the need for improved early-stage breast cancer diagnostic markers.
Main Methods:
- Review of current literature on breast cancer diagnostic markers.
- Categorization of markers into tissue, genetic, and serum types.
- Analysis of the diagnostic capabilities of each marker category.
Main Results:
- Identified various tissue markers (e.g., hormone receptors, HER2, p53), genetic markers (e.g., BRCA1/2), and serum markers (e.g., CA 15.3, CEA).
- Concluded that none of the currently used markers can reliably diagnose breast cancer at its earliest stages.
- Highlighted the inadequacy of existing methods for early carcinogenesis detection.
Conclusions:
- There is a critical unmet need for novel biomarkers capable of early breast cancer detection.
- Developing new diagnostic tools is essential to improve patient survival rates.
- Further research is required to identify and validate markers for early-stage breast cancer diagnosis.
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